The report analyzed 3,447 soil samples from 699 farms across southwest England. It found that:
1) Nearly half (47%) of all samples had a pH below the recommended target, which can reduce nutrient availability for crops. Only 14-17% of arable and grassland samples respectively met the pH target.
2) Over a third (38.8-41.2%) of samples had insufficient levels of phosphorus or potassium according to index targets. In contrast, only 2.5% lacked sufficient magnesium.
3) Grassland samples generally had lower nutrient levels and were more likely to fall below phosphorus and potassium targets compared to arable samples.
4) Maintaining adequate
The document summarizes the key aspects of soil analysis including:
1) Soil analysis determines the availability of nutrients, pH, texture, organic matter to form a basis for fertilizer needs.
2) Proper soil sampling is important to obtain a representative sample for reliable results.
3) Conventional analysis extracts nutrients from soil using reagents but a new hot water method is faster, safer and can be done on-site.
Soil testing is important to determine fertilizer needs and maximize crop yields while avoiding over- or under-fertilization. The best approach is frequent soil tests followed by low-level, regular fertilizer applications. Soil tests measure nutrient levels and identify deficiencies, while tissue tests directly measure plant nutrient uptake. Professional lab testing using validated methods provides the most accurate results, identifying nutrient levels and soil properties to determine appropriate fertilization.
This document provides information about soil testing and fertilizer recommendations. It discusses the objectives, phases and process of soil testing programs including sample collection, extraction of nutrients, interpretation of results, and fertilizer recommendations. The key phases involve collecting representative soil samples, extracting available nutrients using common extractants, interpreting results based on nutrient categories and critical levels, and providing fertilizer guidelines based on soil fertility levels and target crop yields.
This document provides instructions for using a pH meter to test soil pH in the field. It discusses how soil acidification has become a problem in the Pacific Northwest due to nitrogen applications. A handheld pH meter called a Soil Stik allows testing soil samples in the field without mixing or sending samples to a lab. Users calibrate the meter, collect intact soil cores, and test the pH at different depths to identify stratified acid layers that standard sampling may miss. Recording GPS locations of samples allows monitoring pH changes over time.
This document provides a summary of a presentation on soil testing. It discusses:
1) The objectives of soil testing programs are to provide an index of nutrient availability, predict fertilizer response, and provide fertilizer recommendations.
2) The phases of soil testing include collecting soil samples, extracting and analyzing nutrients, interpreting results, and making fertilizer recommendations.
3) Proper soil sampling involves taking composited samples at a depth of 20cm, using augers or probes, drying the samples, grinding them to pass through a 2mm sieve.
Mapping spatial variability of soil physical properties for site-specific man...IRJET Journal
This document summarizes a study that analyzed the spatial variability of soil physical properties in an agricultural field in Ghana. Soil samples were collected from 80 points across the field in surface and subsurface layers. Descriptive statistics and geostatistical analyses were used to describe the variation and spatial distribution patterns of properties like particle size, moisture content, bulk density, and aggregate stability. The results showed variations in properties within and between layers due to factors like past land use and soil management. Spatial distribution maps created using kriging interpolation helped delineate management zones for site-specific soil management.
The document summarizes the key aspects of soil analysis including:
1) Soil analysis determines the availability of nutrients, pH, texture, organic matter to form a basis for fertilizer needs.
2) Proper soil sampling is important to obtain a representative sample for reliable results.
3) Conventional analysis extracts nutrients from soil using reagents but a new hot water method is faster, safer and can be done on-site.
Soil testing is important to determine fertilizer needs and maximize crop yields while avoiding over- or under-fertilization. The best approach is frequent soil tests followed by low-level, regular fertilizer applications. Soil tests measure nutrient levels and identify deficiencies, while tissue tests directly measure plant nutrient uptake. Professional lab testing using validated methods provides the most accurate results, identifying nutrient levels and soil properties to determine appropriate fertilization.
This document provides information about soil testing and fertilizer recommendations. It discusses the objectives, phases and process of soil testing programs including sample collection, extraction of nutrients, interpretation of results, and fertilizer recommendations. The key phases involve collecting representative soil samples, extracting available nutrients using common extractants, interpreting results based on nutrient categories and critical levels, and providing fertilizer guidelines based on soil fertility levels and target crop yields.
This document provides instructions for using a pH meter to test soil pH in the field. It discusses how soil acidification has become a problem in the Pacific Northwest due to nitrogen applications. A handheld pH meter called a Soil Stik allows testing soil samples in the field without mixing or sending samples to a lab. Users calibrate the meter, collect intact soil cores, and test the pH at different depths to identify stratified acid layers that standard sampling may miss. Recording GPS locations of samples allows monitoring pH changes over time.
This document provides a summary of a presentation on soil testing. It discusses:
1) The objectives of soil testing programs are to provide an index of nutrient availability, predict fertilizer response, and provide fertilizer recommendations.
2) The phases of soil testing include collecting soil samples, extracting and analyzing nutrients, interpreting results, and making fertilizer recommendations.
3) Proper soil sampling involves taking composited samples at a depth of 20cm, using augers or probes, drying the samples, grinding them to pass through a 2mm sieve.
Mapping spatial variability of soil physical properties for site-specific man...IRJET Journal
This document summarizes a study that analyzed the spatial variability of soil physical properties in an agricultural field in Ghana. Soil samples were collected from 80 points across the field in surface and subsurface layers. Descriptive statistics and geostatistical analyses were used to describe the variation and spatial distribution patterns of properties like particle size, moisture content, bulk density, and aggregate stability. The results showed variations in properties within and between layers due to factors like past land use and soil management. Spatial distribution maps created using kriging interpolation helped delineate management zones for site-specific soil management.
Comparative Study of Test Driven Development TDD , Behavior Driven Developmen...ijtsrd
TDD, BDD and ATDD were introduced by XP Extreme Programming is an agile software development framework. They are unit testing approaches. TDD, BDD and ATDD are a software development technique which uses unit tests to incrementally deliver small pieces of functionality. TDD is a developer focused process. In Test Driven Development TDD , first come tests and then the code. The minimal piece of code is written in order to pass the designed test. In other words, it is the process of testing the code before its accrual writing. If the code passes the test, then developers can proceed to its refactoring. Behavior Driven Development BDD is a customer focused process. It is based on the full and clear understanding of the system or module behavior but in the terms of business client. The tests for TDD are created by developers for developers. The test for BDD can be written by testers or technical managers. Acceptance Test Driven Development ATDD is towards the developer focused side of things. ATDD is a technique where the entire team collaborates to define the acceptance criteria of a story before the implementation actually begins. These acceptance tests are supported necessary information. Using the Given When Then format, ATDD approach can implement. Myint Myint Moe ""Comparative Study of Test-Driven Development (TDD), Behavior-Driven Development (BDD) and Acceptance Test–Driven Development (ATDD)"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23698.pdf
Paper URL: https://www.ijtsrd.com/computer-science/other/23698/comparative-study-of-test-driven-development-tdd-behavior-driven-development-bdd-and--acceptance-test%C3%A2%E2%82%AC%E2%80%9Cdriven-development-atdd/myint-myint-moe
Effects of Nitrogen Fertilization and interZiziphus Jujubealleys cropping on ...Agriculture Journal IJOEAR
Abstract— In order to test the effects of intercropping and nitrogen fertilization on blue panic (panicum antidotale) yield, a field experiment was conducted at the Agricultural Research Station of King Abdulaziz University, located at Hada Al-Sham during two consecutive seasons (2013 and 2014). Blue panic was intercropped between interspaces alleys of Ziziphus Jujube under three different levels of nitrogen fertilizer (0 kg N/ha, 200 kg N/ha and 400 kg N/ha in the form of commercial Urea,46%) and three distances from the jujube tree (1m ,2m and 4m). Blue panic fresh and dry forage yield (tons/ha) and quality was assessed during ten cuttings harvests. The results exhibited significant effects of intercropping, nitrogen fertilization and distance from the tree on forage yield and quality. Forage yield across all ten harvests were higher under intercropped plots compared to sole crops and in plots treated with 200 and 400 kg N and 2-meter distance from the trees. Total fresh forage yield /ha/10 cuts of the intercropped blue panic under 400 kg N/ha and 2m distance reached 186 tons/ha/year. Whereas the highest protein content means overall the different cuts was 11.51% in plots fertilized with 400 kg N/ha at 1m distance from the trees. This current study highlights the importance of utilizing jujube alleysto maximize land use value of this widely planted arid land tree.
Keywords— Forage yield, Forage quality, Jujube tree, alley cropping.
Variability in the physicochemical properties of soils of different land uses form from the same lithology was studied. Soil samples were collected from surface (0 – 20 cm) and subsurface (20 – 40 cm) depths from three land use namely fallow land, continuous cultivated land and mechanic village land. The soils were air dried, sieved with 2 mm sieve and subjected to routine laboratory analysis. Results obtained were subjected to analysis of variance (ANOVA) and significant treatment means were separated using Least Significant Difference (LSD) at 0.05 probability level. Relationship between selected soil properties were determined using correlation analysis. Results showed that the textures of the studied soils were not affected by land use practices. Bulk density increased with increase in depth with fallow land recoding the lowest values of 0.86 g/cm3 (0.-20 cm depth) and 1.06 g/cm3 (20 – 40 cm depth). Land use types significantly (P = 0.05) affected soil chemical properties such as soil pH, soil organic carbon, total N, available P and exchangeable cations with the highest values recorded in fallow land, followed by palm plantation and the least was continuous cultivated land. There were slight variations among soil properties in the three land use types studied. Significant positive and negative correlations existed and some soil properties. Good soil management practices such as organic fertilization, zero tillage and mulching is recommended especially in continuous cultivated lands.
This document discusses healthy soils and soil quality. It covers topics like soil pollution, soil quality monitoring, soil health cards, remote sensing, GIS, soil-based plant nutrient information systems, and quality of irrigation water. Soil pollution from excessive fertilizer and pesticide use, solid waste disposal, mining, and other sources is discussed. The effects of soil pollution include reduced fertility and nutrition imbalances. Remote sensing and GIS are important tools for soil surveys, agriculture monitoring, forestry, and land use mapping. Maintaining soil quality through sustainable practices is key to a healthy life.
Influence of Human Urine on Rice Grain Yield (Orzya sativa L.) and Selected S...IJEAB
An experiment was carried out at Abakaliki Southeastern Nigeria to study the influence of human urine on rice grain yield, selected soil physical and chemical properties in Abakaliki southeastern Nigeria in 2014 and 2015. The experiment was arranged in randomized complete block designed (RCBD) with human urine applied in the following rates: A = Control (no application of treatment); B = 2 kilolitres/ha; C = 4 kilolitres/ha and D = 6 kilolitres/ha. Treatments were not applied in 2015 to test the residual effect. In general, human urine improved rice grain yield, bulk density, total porosity, hydraulic conductivity, moisture content, organic carbon, total nitrogen, C/N ratio, pH, available phosphorus and exchangeable bases in 2014 it was applied and the following year as residual effect. An increase in the rate of urine application also resulted to an increase in rice grain yield and higher improvement in soil properties studied.
A field experiment was conducted on at M.lekhe district (Ethiopia) during 2002 and 2003 years to investigate the response of tomato to rates of Nitrogen (N) and Phosphorus (P) fertilizers. The treatment consisted of factorial combination of four Nitrogen fertilizers rates (50 kg, 100 and 150 urea/ha) and four P rates (100,150 and 200 DAP/ha) arranged in a Randomized Complete Block Design. Statistically significant and highest yield per plant was recorded at the highest rate of DAP (200 kg/ha). The significantly lowest yield was found at the zero level (with out DAP applied). The marketable yield in Q/ha of the rates is 939.96, 822.44, 731.1067 and 421.44 for 200, 150, 100 and 0 rates respectively. As the partiual budget analisis showed increasing rate of phosphorus and urea fertilizers increased profitability until 200 kg/ha and 150 kg/ha respectively.
This document provides an internship report on farm water management in Jhang, Pakistan. It discusses the benefits of high efficiency irrigation systems over conventional flooding methods. Conventional methods have low irrigation efficiencies below 50% and cause water and fertilizer losses. The report outlines components of a drip irrigation system design for a 6.5 acre cotton field, including filters, pipes, emitters, and calculations of crop water requirements using reference evapotranspiration data and crop coefficients. Tables provide soil properties, crop information, and climate data used in the design process.
B Sc Agri II Sc,Sf & Nm, U 3 Soil Fertility EvaluationRai University
This document discusses soil fertility evaluation in India. It provides key landmarks in soil testing research from 1953-1980s. It describes various approaches used for soil testing and fertility evaluation including soil testing, plant analysis, biological tests, and soil test crop response correlation. The goal of soil fertility evaluation is to precisely predict fertilizer requirements for crops through calibration of soil test methods and establishing critical limits.
The document discusses coffee production methods in the Los Santos region of Costa Rica. It notes the region's intensive farming practices including high use of synthetic fertilizers and herbicides with low shade tree diversity. It then examines the effects of different management practices on coffee production, soil quality, and biodiversity. Specifically, it analyzes data on erosion levels, the relationship between landscape characteristics and production, and the impact of farming practices like fertilizer use on coffee plant health, yield, and quality. The goal is to understand the relationship between landscape, ecosystem factors, and sustainable coffee production.
Integrated Effect of Mulching Materials and Furrow Irrigation Methods on Yiel...Premier Publishers
A field experiment was conducted at Werer, Middle Awash Valley during the dry season of the 2016-17, 2017-18 and 2018-19 to investigate the effects of mulching materials and furrow irrigation methods on onion yield and water productivity under semi-arid conditions. Split plot design with three replications, in which the irrigation methods (Conventional, Fixed and Alternate Furrow) were assigned to the main plot and the three mulching materials (no mulch, wheat straw and white plastic mulch), were to the sub-plot. Results indicate that marketable onion bulb yield and water use efficiency were affected by the main effect of furrow irrigation methods and mulching materials (p< 0.05). But the interaction of irrigation methods and mulch had no significant effect on marketable onion bulb yield and water use efficiency. The conventional furrow irrigation (10081.52kg ha-1) and wheat straw mulch (12121.63 kg ha-1) resulted in the maximum marketable bulb yield. The highest water use efficiency (3.27 kg/m3) was obtained from alternate furrow irrigation method with straw mulch. This suggests that under limited irrigation water, alternate furrow irrigation along with wheat straw mulch minimize evaporation loss; maximize water productivity and sustain onion production at Amibara and similar agro-ecology and soil type.
This document summarizes a study that evaluated the effects of different rates of organic manure (cowdung) and water management practices (continuous flooding vs. alternate wetting and drying) on methane emissions from rice production. Pot experiments were conducted during the summer and rainy seasons of 2017 in Myanmar. The study found that continuous flooding generally resulted in higher methane emissions than alternate wetting and drying. Methane emissions also varied depending on the rate of applied organic manure. The highest and lowest emitting manure rates differed between the water management practices and seasons. Surface water pH was found to be correlated with methane emission levels.
IRJET- Evaluation of Irrigation Regime on Tomato in Mareko Woreda, Gurage Zon...IRJET Journal
This study evaluated the effects of different irrigation regimes on tomato yield in Mareko Woreda, Ethiopia. Four irrigation treatments were tested: 125% of management allowed depletion (MAD), 100% MAD, 75% MAD, and farmer practice. The combined yield results over two years showed no significant differences in non-marketable, marketable, or total yields between treatments. Maximum water productivity of 4.9 kg/m3 was obtained with 100% MAD, while minimum productivity of 4 kg/m3 was from 125% MAD. It is concluded that applying irrigation at 100% MAD provides better yield and water productivity while minimizing irrigation frequency and labor costs.
1) Plant tissue testing helps monitor crop nutrient status for optimal production, ensure balanced nutrient levels for quality produce, and predict nutrient problems to avoid losses. Samples should be taken when symptoms first appear from similar abnormal plants.
2) Information provided with samples includes crop type, variety, soil type, fertilization history, irrigation, and visual appearance. Young, old, diseased or damaged plants should be avoided.
3) Proper sampling techniques vary by crop, such as collecting the upper 1/3 of cotton plants before bloom or recently mature soybean leaves from the top of plants. Timely sampling and handling is important to get the best results.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Soil fertility evaluation and fertilizer recommendationBharathM64
This document discusses different approaches for evaluating soil fertility and determining fertilizer recommendations, including soil analysis, plant analysis, and visual deficiency symptoms. It describes methods for both rapid tissue tests of fresh plant parts and total laboratory analysis of dried plant materials. Diagnosis and recommendations can be generalized, based on soil test ratings with adjustments, or use the soil test crop response and target yield concept to determine fertilizer doses needed to achieve specific yields.
This document discusses a study on the effect of land use change from paddy fields to vegetable fields on residues of organochlorine pesticides (OCPs) in soils. Soil samples were taken from vegetable fields that had been converted from paddy fields for 0 to 50 years. The mean concentrations of various OCPs were measured, with DDTs being the highest. Residues of OCPs, especially DDTs, increased over the first 15 years after conversion and then decreased from 20 to 30 years before increasing slightly after 30 years. The changes in OCP residues over time are suggested to be controlled by the alternating aerobic and anaerobic conditions in the soils.
Spearmint (Mentha spicata L.) Response to Deficit Irrigationpaperpublications3
Abstract: An experiment was conducted with the objective to identify the level of deficit irrigation which allows achieving optimal yield and investigate the effect of deficit irrigation practice on spearmint (Mentha Spicata L.) yield and yield components. The experiment was conducted at Koka research station of Wondo Genet Agricultural Research Center, Ethiopia latitude 8O26’, longitude 39O2’ and altitude 1602masl for two years (2011/2012 and 2012/2013 dry season). Nine treatments three level of irrigation water amount percentage based on evapo-transpiration of the crop (ETc) (100%ETc, 75%ETc and 50%ETc) and three types of furrow irrigation water application method (alternate furrow, fixed furrow and conventional furrow) were used in randomized completely block design (RCBD) with three replications. The pooled mean of two year data showed different level of deficit irrigation had a significant effect (p<0.05)><0.01) variation among treatments due to deficit irrigation on dry biomass yield per hectare, dry leaf yield per hectare, essential oil yield per hectare and water use efficiency. However, different deficit irrigation level had no significant influence on wet harvesting index. The highest fresh biomass, dry biomass, fresh leaf, dry leaf and essential oil yield per harvesting cycle of 12093kg/ha, 3746kg/ha, 8133kg/ha, 2441.1kg/ha and 37.0kg/ha respectively was obtained due to 100%ETc with conventional furrow application method. Moreover, the highest water use efficiency of 16.3x10-3kg/m3 was achieved due to deficit irrigation to 50%ETc with alternate furrow irrigation water application method. The study showed that the best treatment is deficit irrigation to 50%ETc with conventional furrow application method which had no significant variation with treatments that showed higher yields of spearmint including water use efficiency.
Keywords: Alternate furrow, conventional furrow, deficit irrigation, fixed furrow, spearmint.
Reaction of Elite Faba Bean Genotypes for Soil Acidity StressAI Publications
Soil acidity is one of the major abiotic stresses in Ethiopian highland agriculture that limits crop production in general and a prime factor of faba bean production in particular. The goal of this study was to investigate the effect of soil acidity stress on grain yield of 50 faba bean genotypes of which 22 were released varieties. The experiment was comprised two stress levels (lime treated and untreated) arranged in randomized complete block design with three replications. The analysis of variance for both potential yield (YP) and stress yield (YS) indicated significant differences among fifty genotypes. Also, significant differences were observed among faba bean genotypes regarding seven soil acidity stress indices. Based on the YP, the genotypes Moti, CS20DK, EKLS/CSR02010-4-3, Cool-0024 and EH07023-3, had the highest yield under non-stressed condition, while the genotypes CS20DK, Obse, Wolki, Didi’a and Dosha displayed the highest yield under stressed condition. In terms of grain yield (g/5plants) CS20DK was ranked 2nd and 1st with 113.24g and 79.56g under non-stressed and stressed, respectively. However, based on the overall performances of multiple stress indices (YI, STI, MP, GMP, HM, SSI and RYR) Wolki, Dosha and Obse were confirmed as soil acidity stress tolerant genotypes whereas Wayu was identified as the most sensitive genotype. The STI, MP, GMP and HM indices exhibited strong correlation with YP, while YI showed strong correlation with YS indicating YS can discriminate soil acidity tolerant genotypes with high grain yield under stress conditions. Hence, use of multiple stress indices confirms the performance consistency of the genotypes considered for the stress.
This document reports on a study that evaluated the effects of different rates of nitrogen and phosphorus fertilizer on the yield and yield components of shallot (Allium cepa L.) in two districts of Ethiopia. Five rates of nitrogen (0-132 kg/ha) and six rates of phosphorus (0-240 kg/ha) were applied in a factorial experiment. The treatment of 92 kg/ha nitrogen and 160 kg/ha phosphorus resulted in the highest marketable yield (23 tons/ha), total yield (23.45 tons/ha), and average bulb weight (88.8 g). While plant height, marketable yield, and total yield were not significantly different among most nitrogen rates, the combination
This study evaluated the effects of different rates of nitrogen and phosphorus fertilizer on the yield of shallot in Ethiopia. Five levels of nitrogen (0, 72, 92, 112, 132 kg/ha) and six levels of phosphorus (0, 160, 180, 200, 220, 240 kg/ha) were applied to shallot plants. The highest marketable yield of 23 tons/ha was obtained with the application of 92 kg/ha nitrogen and 160 kg/ha phosphorus. This treatment combination of 92 kg/ha nitrogen and 160 kg/ha phosphorus was recommended for shallot production in the study area.
An efficient incentive of Nitrate and Fluoride on Organic highland cropping s...IOSR Journals
Abstract: Exerting necessitated concentrations of Nitrate and fluoride to the organic highland cropping
systems is a vital management technique. All the chemical elements of the earth’s crust occur in widely differing
omnipresent concentrations, due to their different nuclear chemical formation and geochemical history. The use
of biological nitrogen and fluoride inputs complicates its balancing act due to dandier uncertainty in inorganic
Nitrogen and Fluoride availability. The growers to strike maintain Nitrogen provisioning to support crop
growth and retention of limit pollution followed by fluoride associated soils. Due to various activities of the man
in domestic field, agriculture area and industrial establishment the environment around us consisting soil, water
and air gets polluted. Fluoride inexhaustible concentrations forbid the growth of crop even though nitrates
reposit in the cultivated soils. The purpose of this project was to establish kinetics when nitro fluorides
associated in the highland soils to different crop systems towards environmental pollutions. Cordia Africana
and alfalfa are the plants which make soil to get enrichment of Nitrates and deescalate of concentrations of
fluorides from cultivated soils through its decomposition. This entire study went on its conventionally tilled
crops followed by Cordia Africana and alfalfa stems and leaf particles. Surface soil nitrate concentrations were
measured weekly, biweekly by volumetric analysis and nitrate leaching was estimated from tension Lysimeters
which were buried at the soil bedrock interface. Subsequently by using Orion 720A fluoride ion meter, deescalated
concentrations of fluorides have been measured. The demonstrated concentrations of Soil in NO3
variables, coefficients of variations from the mean concentrations across all samplings have been recorded
sporadically. The total area of the soil bed was maintained the same PH values until project was completed by
weigh Lysimeters. The timing of elevated Nitrate concentrations (10-15PPM) and the concentrations of fluoride
in deeper soil water corresponds with fallow periods. These dynamics will assist growers in adapting the timing
management operations and reduces nitrate departures.
Comparative Study of Test Driven Development TDD , Behavior Driven Developmen...ijtsrd
TDD, BDD and ATDD were introduced by XP Extreme Programming is an agile software development framework. They are unit testing approaches. TDD, BDD and ATDD are a software development technique which uses unit tests to incrementally deliver small pieces of functionality. TDD is a developer focused process. In Test Driven Development TDD , first come tests and then the code. The minimal piece of code is written in order to pass the designed test. In other words, it is the process of testing the code before its accrual writing. If the code passes the test, then developers can proceed to its refactoring. Behavior Driven Development BDD is a customer focused process. It is based on the full and clear understanding of the system or module behavior but in the terms of business client. The tests for TDD are created by developers for developers. The test for BDD can be written by testers or technical managers. Acceptance Test Driven Development ATDD is towards the developer focused side of things. ATDD is a technique where the entire team collaborates to define the acceptance criteria of a story before the implementation actually begins. These acceptance tests are supported necessary information. Using the Given When Then format, ATDD approach can implement. Myint Myint Moe ""Comparative Study of Test-Driven Development (TDD), Behavior-Driven Development (BDD) and Acceptance Test–Driven Development (ATDD)"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23698.pdf
Paper URL: https://www.ijtsrd.com/computer-science/other/23698/comparative-study-of-test-driven-development-tdd-behavior-driven-development-bdd-and--acceptance-test%C3%A2%E2%82%AC%E2%80%9Cdriven-development-atdd/myint-myint-moe
Effects of Nitrogen Fertilization and interZiziphus Jujubealleys cropping on ...Agriculture Journal IJOEAR
Abstract— In order to test the effects of intercropping and nitrogen fertilization on blue panic (panicum antidotale) yield, a field experiment was conducted at the Agricultural Research Station of King Abdulaziz University, located at Hada Al-Sham during two consecutive seasons (2013 and 2014). Blue panic was intercropped between interspaces alleys of Ziziphus Jujube under three different levels of nitrogen fertilizer (0 kg N/ha, 200 kg N/ha and 400 kg N/ha in the form of commercial Urea,46%) and three distances from the jujube tree (1m ,2m and 4m). Blue panic fresh and dry forage yield (tons/ha) and quality was assessed during ten cuttings harvests. The results exhibited significant effects of intercropping, nitrogen fertilization and distance from the tree on forage yield and quality. Forage yield across all ten harvests were higher under intercropped plots compared to sole crops and in plots treated with 200 and 400 kg N and 2-meter distance from the trees. Total fresh forage yield /ha/10 cuts of the intercropped blue panic under 400 kg N/ha and 2m distance reached 186 tons/ha/year. Whereas the highest protein content means overall the different cuts was 11.51% in plots fertilized with 400 kg N/ha at 1m distance from the trees. This current study highlights the importance of utilizing jujube alleysto maximize land use value of this widely planted arid land tree.
Keywords— Forage yield, Forage quality, Jujube tree, alley cropping.
Variability in the physicochemical properties of soils of different land uses form from the same lithology was studied. Soil samples were collected from surface (0 – 20 cm) and subsurface (20 – 40 cm) depths from three land use namely fallow land, continuous cultivated land and mechanic village land. The soils were air dried, sieved with 2 mm sieve and subjected to routine laboratory analysis. Results obtained were subjected to analysis of variance (ANOVA) and significant treatment means were separated using Least Significant Difference (LSD) at 0.05 probability level. Relationship between selected soil properties were determined using correlation analysis. Results showed that the textures of the studied soils were not affected by land use practices. Bulk density increased with increase in depth with fallow land recoding the lowest values of 0.86 g/cm3 (0.-20 cm depth) and 1.06 g/cm3 (20 – 40 cm depth). Land use types significantly (P = 0.05) affected soil chemical properties such as soil pH, soil organic carbon, total N, available P and exchangeable cations with the highest values recorded in fallow land, followed by palm plantation and the least was continuous cultivated land. There were slight variations among soil properties in the three land use types studied. Significant positive and negative correlations existed and some soil properties. Good soil management practices such as organic fertilization, zero tillage and mulching is recommended especially in continuous cultivated lands.
This document discusses healthy soils and soil quality. It covers topics like soil pollution, soil quality monitoring, soil health cards, remote sensing, GIS, soil-based plant nutrient information systems, and quality of irrigation water. Soil pollution from excessive fertilizer and pesticide use, solid waste disposal, mining, and other sources is discussed. The effects of soil pollution include reduced fertility and nutrition imbalances. Remote sensing and GIS are important tools for soil surveys, agriculture monitoring, forestry, and land use mapping. Maintaining soil quality through sustainable practices is key to a healthy life.
Influence of Human Urine on Rice Grain Yield (Orzya sativa L.) and Selected S...IJEAB
An experiment was carried out at Abakaliki Southeastern Nigeria to study the influence of human urine on rice grain yield, selected soil physical and chemical properties in Abakaliki southeastern Nigeria in 2014 and 2015. The experiment was arranged in randomized complete block designed (RCBD) with human urine applied in the following rates: A = Control (no application of treatment); B = 2 kilolitres/ha; C = 4 kilolitres/ha and D = 6 kilolitres/ha. Treatments were not applied in 2015 to test the residual effect. In general, human urine improved rice grain yield, bulk density, total porosity, hydraulic conductivity, moisture content, organic carbon, total nitrogen, C/N ratio, pH, available phosphorus and exchangeable bases in 2014 it was applied and the following year as residual effect. An increase in the rate of urine application also resulted to an increase in rice grain yield and higher improvement in soil properties studied.
A field experiment was conducted on at M.lekhe district (Ethiopia) during 2002 and 2003 years to investigate the response of tomato to rates of Nitrogen (N) and Phosphorus (P) fertilizers. The treatment consisted of factorial combination of four Nitrogen fertilizers rates (50 kg, 100 and 150 urea/ha) and four P rates (100,150 and 200 DAP/ha) arranged in a Randomized Complete Block Design. Statistically significant and highest yield per plant was recorded at the highest rate of DAP (200 kg/ha). The significantly lowest yield was found at the zero level (with out DAP applied). The marketable yield in Q/ha of the rates is 939.96, 822.44, 731.1067 and 421.44 for 200, 150, 100 and 0 rates respectively. As the partiual budget analisis showed increasing rate of phosphorus and urea fertilizers increased profitability until 200 kg/ha and 150 kg/ha respectively.
This document provides an internship report on farm water management in Jhang, Pakistan. It discusses the benefits of high efficiency irrigation systems over conventional flooding methods. Conventional methods have low irrigation efficiencies below 50% and cause water and fertilizer losses. The report outlines components of a drip irrigation system design for a 6.5 acre cotton field, including filters, pipes, emitters, and calculations of crop water requirements using reference evapotranspiration data and crop coefficients. Tables provide soil properties, crop information, and climate data used in the design process.
B Sc Agri II Sc,Sf & Nm, U 3 Soil Fertility EvaluationRai University
This document discusses soil fertility evaluation in India. It provides key landmarks in soil testing research from 1953-1980s. It describes various approaches used for soil testing and fertility evaluation including soil testing, plant analysis, biological tests, and soil test crop response correlation. The goal of soil fertility evaluation is to precisely predict fertilizer requirements for crops through calibration of soil test methods and establishing critical limits.
The document discusses coffee production methods in the Los Santos region of Costa Rica. It notes the region's intensive farming practices including high use of synthetic fertilizers and herbicides with low shade tree diversity. It then examines the effects of different management practices on coffee production, soil quality, and biodiversity. Specifically, it analyzes data on erosion levels, the relationship between landscape characteristics and production, and the impact of farming practices like fertilizer use on coffee plant health, yield, and quality. The goal is to understand the relationship between landscape, ecosystem factors, and sustainable coffee production.
Integrated Effect of Mulching Materials and Furrow Irrigation Methods on Yiel...Premier Publishers
A field experiment was conducted at Werer, Middle Awash Valley during the dry season of the 2016-17, 2017-18 and 2018-19 to investigate the effects of mulching materials and furrow irrigation methods on onion yield and water productivity under semi-arid conditions. Split plot design with three replications, in which the irrigation methods (Conventional, Fixed and Alternate Furrow) were assigned to the main plot and the three mulching materials (no mulch, wheat straw and white plastic mulch), were to the sub-plot. Results indicate that marketable onion bulb yield and water use efficiency were affected by the main effect of furrow irrigation methods and mulching materials (p< 0.05). But the interaction of irrigation methods and mulch had no significant effect on marketable onion bulb yield and water use efficiency. The conventional furrow irrigation (10081.52kg ha-1) and wheat straw mulch (12121.63 kg ha-1) resulted in the maximum marketable bulb yield. The highest water use efficiency (3.27 kg/m3) was obtained from alternate furrow irrigation method with straw mulch. This suggests that under limited irrigation water, alternate furrow irrigation along with wheat straw mulch minimize evaporation loss; maximize water productivity and sustain onion production at Amibara and similar agro-ecology and soil type.
This document summarizes a study that evaluated the effects of different rates of organic manure (cowdung) and water management practices (continuous flooding vs. alternate wetting and drying) on methane emissions from rice production. Pot experiments were conducted during the summer and rainy seasons of 2017 in Myanmar. The study found that continuous flooding generally resulted in higher methane emissions than alternate wetting and drying. Methane emissions also varied depending on the rate of applied organic manure. The highest and lowest emitting manure rates differed between the water management practices and seasons. Surface water pH was found to be correlated with methane emission levels.
IRJET- Evaluation of Irrigation Regime on Tomato in Mareko Woreda, Gurage Zon...IRJET Journal
This study evaluated the effects of different irrigation regimes on tomato yield in Mareko Woreda, Ethiopia. Four irrigation treatments were tested: 125% of management allowed depletion (MAD), 100% MAD, 75% MAD, and farmer practice. The combined yield results over two years showed no significant differences in non-marketable, marketable, or total yields between treatments. Maximum water productivity of 4.9 kg/m3 was obtained with 100% MAD, while minimum productivity of 4 kg/m3 was from 125% MAD. It is concluded that applying irrigation at 100% MAD provides better yield and water productivity while minimizing irrigation frequency and labor costs.
1) Plant tissue testing helps monitor crop nutrient status for optimal production, ensure balanced nutrient levels for quality produce, and predict nutrient problems to avoid losses. Samples should be taken when symptoms first appear from similar abnormal plants.
2) Information provided with samples includes crop type, variety, soil type, fertilization history, irrigation, and visual appearance. Young, old, diseased or damaged plants should be avoided.
3) Proper sampling techniques vary by crop, such as collecting the upper 1/3 of cotton plants before bloom or recently mature soybean leaves from the top of plants. Timely sampling and handling is important to get the best results.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Soil fertility evaluation and fertilizer recommendationBharathM64
This document discusses different approaches for evaluating soil fertility and determining fertilizer recommendations, including soil analysis, plant analysis, and visual deficiency symptoms. It describes methods for both rapid tissue tests of fresh plant parts and total laboratory analysis of dried plant materials. Diagnosis and recommendations can be generalized, based on soil test ratings with adjustments, or use the soil test crop response and target yield concept to determine fertilizer doses needed to achieve specific yields.
This document discusses a study on the effect of land use change from paddy fields to vegetable fields on residues of organochlorine pesticides (OCPs) in soils. Soil samples were taken from vegetable fields that had been converted from paddy fields for 0 to 50 years. The mean concentrations of various OCPs were measured, with DDTs being the highest. Residues of OCPs, especially DDTs, increased over the first 15 years after conversion and then decreased from 20 to 30 years before increasing slightly after 30 years. The changes in OCP residues over time are suggested to be controlled by the alternating aerobic and anaerobic conditions in the soils.
Spearmint (Mentha spicata L.) Response to Deficit Irrigationpaperpublications3
Abstract: An experiment was conducted with the objective to identify the level of deficit irrigation which allows achieving optimal yield and investigate the effect of deficit irrigation practice on spearmint (Mentha Spicata L.) yield and yield components. The experiment was conducted at Koka research station of Wondo Genet Agricultural Research Center, Ethiopia latitude 8O26’, longitude 39O2’ and altitude 1602masl for two years (2011/2012 and 2012/2013 dry season). Nine treatments three level of irrigation water amount percentage based on evapo-transpiration of the crop (ETc) (100%ETc, 75%ETc and 50%ETc) and three types of furrow irrigation water application method (alternate furrow, fixed furrow and conventional furrow) were used in randomized completely block design (RCBD) with three replications. The pooled mean of two year data showed different level of deficit irrigation had a significant effect (p<0.05)><0.01) variation among treatments due to deficit irrigation on dry biomass yield per hectare, dry leaf yield per hectare, essential oil yield per hectare and water use efficiency. However, different deficit irrigation level had no significant influence on wet harvesting index. The highest fresh biomass, dry biomass, fresh leaf, dry leaf and essential oil yield per harvesting cycle of 12093kg/ha, 3746kg/ha, 8133kg/ha, 2441.1kg/ha and 37.0kg/ha respectively was obtained due to 100%ETc with conventional furrow application method. Moreover, the highest water use efficiency of 16.3x10-3kg/m3 was achieved due to deficit irrigation to 50%ETc with alternate furrow irrigation water application method. The study showed that the best treatment is deficit irrigation to 50%ETc with conventional furrow application method which had no significant variation with treatments that showed higher yields of spearmint including water use efficiency.
Keywords: Alternate furrow, conventional furrow, deficit irrigation, fixed furrow, spearmint.
Reaction of Elite Faba Bean Genotypes for Soil Acidity StressAI Publications
Soil acidity is one of the major abiotic stresses in Ethiopian highland agriculture that limits crop production in general and a prime factor of faba bean production in particular. The goal of this study was to investigate the effect of soil acidity stress on grain yield of 50 faba bean genotypes of which 22 were released varieties. The experiment was comprised two stress levels (lime treated and untreated) arranged in randomized complete block design with three replications. The analysis of variance for both potential yield (YP) and stress yield (YS) indicated significant differences among fifty genotypes. Also, significant differences were observed among faba bean genotypes regarding seven soil acidity stress indices. Based on the YP, the genotypes Moti, CS20DK, EKLS/CSR02010-4-3, Cool-0024 and EH07023-3, had the highest yield under non-stressed condition, while the genotypes CS20DK, Obse, Wolki, Didi’a and Dosha displayed the highest yield under stressed condition. In terms of grain yield (g/5plants) CS20DK was ranked 2nd and 1st with 113.24g and 79.56g under non-stressed and stressed, respectively. However, based on the overall performances of multiple stress indices (YI, STI, MP, GMP, HM, SSI and RYR) Wolki, Dosha and Obse were confirmed as soil acidity stress tolerant genotypes whereas Wayu was identified as the most sensitive genotype. The STI, MP, GMP and HM indices exhibited strong correlation with YP, while YI showed strong correlation with YS indicating YS can discriminate soil acidity tolerant genotypes with high grain yield under stress conditions. Hence, use of multiple stress indices confirms the performance consistency of the genotypes considered for the stress.
This document reports on a study that evaluated the effects of different rates of nitrogen and phosphorus fertilizer on the yield and yield components of shallot (Allium cepa L.) in two districts of Ethiopia. Five rates of nitrogen (0-132 kg/ha) and six rates of phosphorus (0-240 kg/ha) were applied in a factorial experiment. The treatment of 92 kg/ha nitrogen and 160 kg/ha phosphorus resulted in the highest marketable yield (23 tons/ha), total yield (23.45 tons/ha), and average bulb weight (88.8 g). While plant height, marketable yield, and total yield were not significantly different among most nitrogen rates, the combination
This study evaluated the effects of different rates of nitrogen and phosphorus fertilizer on the yield of shallot in Ethiopia. Five levels of nitrogen (0, 72, 92, 112, 132 kg/ha) and six levels of phosphorus (0, 160, 180, 200, 220, 240 kg/ha) were applied to shallot plants. The highest marketable yield of 23 tons/ha was obtained with the application of 92 kg/ha nitrogen and 160 kg/ha phosphorus. This treatment combination of 92 kg/ha nitrogen and 160 kg/ha phosphorus was recommended for shallot production in the study area.
An efficient incentive of Nitrate and Fluoride on Organic highland cropping s...IOSR Journals
Abstract: Exerting necessitated concentrations of Nitrate and fluoride to the organic highland cropping
systems is a vital management technique. All the chemical elements of the earth’s crust occur in widely differing
omnipresent concentrations, due to their different nuclear chemical formation and geochemical history. The use
of biological nitrogen and fluoride inputs complicates its balancing act due to dandier uncertainty in inorganic
Nitrogen and Fluoride availability. The growers to strike maintain Nitrogen provisioning to support crop
growth and retention of limit pollution followed by fluoride associated soils. Due to various activities of the man
in domestic field, agriculture area and industrial establishment the environment around us consisting soil, water
and air gets polluted. Fluoride inexhaustible concentrations forbid the growth of crop even though nitrates
reposit in the cultivated soils. The purpose of this project was to establish kinetics when nitro fluorides
associated in the highland soils to different crop systems towards environmental pollutions. Cordia Africana
and alfalfa are the plants which make soil to get enrichment of Nitrates and deescalate of concentrations of
fluorides from cultivated soils through its decomposition. This entire study went on its conventionally tilled
crops followed by Cordia Africana and alfalfa stems and leaf particles. Surface soil nitrate concentrations were
measured weekly, biweekly by volumetric analysis and nitrate leaching was estimated from tension Lysimeters
which were buried at the soil bedrock interface. Subsequently by using Orion 720A fluoride ion meter, deescalated
concentrations of fluorides have been measured. The demonstrated concentrations of Soil in NO3
variables, coefficients of variations from the mean concentrations across all samplings have been recorded
sporadically. The total area of the soil bed was maintained the same PH values until project was completed by
weigh Lysimeters. The timing of elevated Nitrate concentrations (10-15PPM) and the concentrations of fluoride
in deeper soil water corresponds with fallow periods. These dynamics will assist growers in adapting the timing
management operations and reduces nitrate departures.
Impact of the use of inorganic fertilizers to the soils of the ebonyi state a...Alexander Decker
The study assessed the impact of long-term inorganic fertilizer use on soils in Ebonyi State, Nigeria. Soil samples from 15 farms with over 20 years of inorganic fertilizer application were analyzed. The results showed that the soils were very strongly to strongly acidic, with very high exchangeable acidity. Nutrient levels like nitrogen, phosphorus, and potassium were moderate to low. Long-term inorganic fertilizer use contributed to soil acidification and nutrient depletion. It was recommended to apply lime and use organic manures along with inorganic fertilizers to correct soil fertility issues and improve agricultural productivity in a sustainable manner.
Influence of sokoto phosphate rock on some soil properties and the growth and...Alexander Decker
This document summarizes a study that examined the influence of Sokoto Phosphate Rock (SPR) on soil properties, growth, and yield of cowpea varieties in Sudan savanna of Nigeria. The study found that SPR application enhanced soil nutrient availability and the performance of cowpea varieties. SPR increased soil phosphorus, plant tissue phosphorus, soil nitrogen, and plant tissue nitrogen. SPR also increased plant height, number of branches, and dry matter yield of cowpea in a dose-dependent manner. The highest cowpea growth and yield was observed with the application of 75kg/ha of SPR. However, nutrient levels were not very high possibly due to the acidic soil conditions. Overall, the study
A Modern Method for Estimating Turfgrass Nutrient Requirementsasianturfgrass
This document presents a modern method for estimating turfgrass nutrient requirements using Minimum Levels for Sustainable Nutrition (MLSN) guidelines. The MLSN guidelines provide soil nutrient levels that 10% of well-performing turfgrass soils fall below. To determine fertilizer needs, the method calculates the amount of an element the grass will use (harvest), the amount needed to remain in the soil per the MLSN, and the current soil levels, with fertilizer making up the difference. Examples are provided to demonstrate calculating potassium and calcium needs using the MLSN method.
Farm Business Update 2014: Aylsham, Johnny Johnston and soil fertilityCLA - East
1) The document discusses soil fertility and the efficient use of fertilizers in crop production. It defines a fertile soil as one that produces high yields economically while minimizing environmental impact.
2) The document separates fertilizers into two groups - nitrogen and sulfur which are readily leached from soil, and phosphate, potash, and magnesium which accumulate in soil over time.
3) Maintaining adequate levels of plant-available phosphorus and potassium in soil is important for efficient nitrogen use by crops and maximizing yields. Good soil structure also promotes root growth and nutrient uptake.
Determination of the Optimum Sulphur Fertilizer Rate for Groundnut Production...AI Publications
Laboratory studies and pot Experiments were carried out to determine the optimum sulphur (S)fertilizer rate for groundnut production in selected soils of Benue state using sorption indices. Surface soil samples (0-20 cm) were collected for sorption studies and pot experiments. The sorption study was carried out by shaking known concentrations of S (0, 20, 40, 60, 80, 100 and 120 mgkg-1) with 5g soil sample. The suspension was filtered and the amount of S in solution determined. The amount of sulphatesorbed was estimated as the difference between equilibrium sulphate concentration and initial sulphate added. Data from the sorption study was fitted into the Langmuir and Freundlich sorption equations. Thereafter a pot experiment was carried out with six levels of solution sulphate concentration to determine the optimum S concentration for yield of groundnut and the amount of sulphur fertilizer required to achieve this concentration in the soil under study. Result show that both soils have the capacity to sorb sulphur. The sorption maxima, buffering capacity and binding energy of the soils under study are 70.66 mgkg-1, 15.81mg kg-1, 0.22 dm3 mg-1 and 117.84 mgkg1, 9.83 mg kg-1,0.08 dm3 kg-1 for Aliade and Daudu soils respectively.The highest yield in Aliade soil was obtained with 6 mg kg-1 S while 12 mg kg-1 S gave the highest yield in Daudu soil. Aliadeand Daudu soils would require 57.41 and 23.69 kg ha-1S respectively to maintain 12 mg/kg and 9mg/kg of S in the soil solution. Hence for groundnut production in Aliade soil, 57.41 kg S ha-1 is recommended while for the Daudu soil, 23.69 kg S ha-1 is recommended.
Effect of Lime and Phosphorus Fertilizer on Acid Soil Properties and Sorghum ...Premier Publishers
Acidic soils limit the production potential of sorghum crop because of low availability of basic cations and excess of hydrogen (H+) and aluminium (Al3+) in exchangeable forms at Assosa. Experiments were conducted to evaluate the response of acid soil properties and sorghum to lime and Phosphorus fertilizer around Assosa area during 2012-2015 cropping seasons. Five levels of lime (0, 1.88, 3.76, 5.64 and 7.52 t ha-1) and four levels of P (0, 23, 46 and 69 kg ha-1) laid out in randomised complete block design with three replications.Analysis of variance revealed that the interaction effect of lime and phosphorus fertilizer significantly (P≤0.05) affected head weight, straw and grain yield of sorghum. The highest grain yield of sorghum was obtained from 5.65 t lime ha-1with application of 23, 46 and 69 kg P2O5 ha-1 and 7.54 t lime ha-1with application of 0, 23 and 46 kg P2O5 ha-1 treatments. The partial budget analysis also indicted that 1.88 t lime ha-1 along with 23 kg P2O5 ha-1 gives higher net benefits. Therefore, the management of P- deficient acid soils of Assosa area requires combined applications 1.88 t lime ha-1with application of 23 kg P2O5 ha-1.
11.response of maize (zea mays l) yield and yield components to rates of appl...Alexander Decker
This study evaluated the effects of phosphorus fertilizer rates on maize yield and yield components in two locations in Kogi State, Nigeria. Seven phosphorus rates ranging from 0 to 120 kg/ha were applied. Across both locations and years, phosphorus application significantly increased plant height, number of leaves, leaf area, stem girth, cob weight, and grain yield compared to the control. The highest cob weights and grain yields were obtained from application rates of 100-120 kg/ha. Specifically, 100 kg/ha of P was found to provide optimum maize yields of 5.40 and 5.51 tons/ha in the Anyigba soils over two years. In the Ofere soils, the optimum yield of
11.[36 45]response of maize (zea mays l) yield and yield components to rates ...Alexander Decker
This study examined the effects of different phosphorus fertilizer rates on maize yield and yield components in two locations in Kogi State, Nigeria. The experiment used a randomized complete block design with seven phosphorus rates (0-120 kg/ha) applied to maize. Results showed that phosphorus application significantly increased plant height, number of leaves, leaf area, stem girth, cob weight, and grain yield compared to the control in both locations. The highest cob weights and optimum grain yields were obtained from 100-120 kg P/ha. Based on the results, 100-120 kg P/ha is recommended for maize cultivation in the soils studied.
This document provides a high-level summary of the fertilizer industry, with a focus on nitrogen fertilizers which are most relevant for Yara International. It describes the essential role of fertilizers in modern food production and the value of the main nutrients nitrogen, phosphorus, and potassium for crops. It also discusses industrial fertilizer production processes and the global market dynamics including consumption trends by region and crop.
Everything you need to know about turfgrass nutrition in 1 lectureasianturfgrass
The document provides an overview of turfgrass nutrition from a one hour lecture. It discusses ensuring sufficient levels of nitrogen, pH, potassium, phosphorus and other nutrients in the soil. It provides recommended minimum levels of various nutrients for sustainable turfgrass nutrition based on a study of over 17,000 soil samples. An equation is presented for calculating fertilizer needs based on the minimum recommended soil levels, amount the grass will harvest, and current soil nutrient levels.
Soil fertility analysis for rice production in the lowland areas of Diplahan,...Open Access Research Paper
The most important practice that contributes to rice production is nutrient management. However, if the nutrient plant required is insufficient, low production is unavoidable. Thus, this study was carried out to determine the soil fertility status of lowland areas in the municipality of Diplahan. Soil samples from each sampling site were collected in rice farms using a composite random soil sampling moving in a zigzag pattern. A depth of 0- 15cm soil samples were collected from 15 – 30 different places in 1-5 hectares. An air-drying procedure was done before it was carried to the laboratory for final testing. Soil samples were analyzed for pH, organic carbon, organic matter, nitrogen, phosphorous, and potassium following the BSWM (Bureau of Soils and Water Management) procedures. Furthermore, a soil fertility map was outlined through ArcGIS software by plotting local coordinates in Google Map. Results showed that the areas in 10 selected barangays in the municipality have moderate soil acidity, with a pH level that falls below the desirable range of 5.5 – 7.0 but no lower than 4.5. According to the results of the soil organic carbon analysis, all barangays have insufficient SOC. Only four barangays have the optimal soil organic matter content for lowland rice production. The study also revealed that only two (2) barangays receive an adequate amount of nitrogen, while the rest are considered deficient. Phosphorous-rich soils were found in two (2) barangays; the five (5) barangays have a medium content; and the remaining three (3) barangays have a low content. Lastly, no barangay in the municipality obtains an adequate amount of exchangeable potassium ranging from 82-246 ppm. Problem of insufficient nutrient requirements for rice crop production is widespread in the municipality.
Managing residual and fixed phosphorus in soil Jalalzai ph.d first seminar ...Syedwali Jalalzai
1) A study evaluated the residual and cumulative effects of phosphorus in 13 contrasting calcareous soils from Morocco over three crops. Phosphorus application significantly increased yields for all crops. Residual phosphorus from previous applications increased yields of the second and third crops.
2) A 25-year study on a soil in India found that continuous phosphorus fertilizer applications significantly increased pod yields of groundnut and grain/seed yields of subsequent wheat, mustard, and rapeseed crops. Soil testing showed phosphorus accumulated in residual, inorganic, and organic phosphorus fractions over time.
3) Together, the studies demonstrate that phosphorus applied as fertilizer can accumulate in soils and provide residual benefits for subsequent crops grown
Crop nutrient removal refers to the total amount of nutrients removed from the field in the harvested portion of the crop, which is usually lower than the total crop nutrient uptake. Understanding crop nutrient removal is important for developing soil fertility recommendations by examining nutrient removal patterns in response to fertilizer levels. Nutrient removal values provide a minimum amount of nutrients needed by crops and do not account for losses during uptake. Proper analysis of crop samples is needed to accurately determine nutrient removal levels.
The document describes a field experiment conducted in Mozambique to evaluate the response of soybean crops to different rates of phosphorus fertilizer. The highest rates of phosphorus (60 kg P2O5 ha-1) led to the tallest plants, highest biomass and grain yields, most pods, and largest seeds. Moderate rates (20-40 kg P2O5 ha-1) optimized some growth parameters. The study demonstrates that phosphorus fertilization can improve soybean yields in the acidic soils of Mozambique's Angónia region.
Jatropha-based alley cropping system’s contribution to carbon sequestrationInnspub Net
The study was conducted to evaluate the total carbon stocks sequestered in a Jatropha – based alley cropping system treated with varying fertilizer applications. The study was laid out in Randomized Complete Block Design with three replications. The alley was planted with corn in two seasons Treatments include control (no fertilizer), organic fertilizer and inorganic fertilizer applied to the alley crops. Findings showed that the treatments with fertilizer applications had higher carbon stock in the jatropha hedges. The carbon content of the corn stover was also higher in organic and inorganic fertilizer-applied treatments. However, highest soil carbon content was shown in treatments applied with organic fertilizer (4.28 Ton ha-1). The inorganic fertilizer treatment had the lowest soil carbon content with a mean of 4.28 Ton ha-1. In terms of total carbon stock of the entire jatropha-based alley cropping system, there was a significant difference among treatments with organic fertilizer application having the highest mean of 7.79 Ton ha-1 while the inorganic treated plots had 6.53 Ton ha-1. The no fertilizer treatment had the least carbon stocks with 6.53 Ton ha-1. This recent study revealed that the jatropha-based alley cropping system is a potential land-use for carbon sequestration. This farming system needs to be promoted in upland areas to function not only as soil and water conservation measures but also as a possible remedy for global warming. Get the Abstract and full articles at: http://www.innspub.net/ijaar/jatropha-based-alley-cropping-systems-contribution-to-carbon-sequestration/
Jatropha-based alley cropping system’s contribution to carbon sequestration
Soil_Analysis_report_Oct13 (2)
1. 1
A report summarising the findings from soil samples collected by farmers in the
South West and analysed through the Soils for Profit Project
Introduction
The South West Agricultural Resource Management (SWARM) Initiative is a Rural Development Programme
for England (RDPE) funded initiative tasked with helping farmers and growers to use resources more
efficiently, providing both economic and environmental benefits.
The Soils for Profit (S4P) project, delivered by Natural England in partnership with the Environment Agency
and as part of the SWARM Initiative, has operated a scheme since 2011 giving farmers the opportunity to
collect soil samples from up to five fields of their choice and to have the samples analysed free of charge to
the farmer. The results from the soil analysis were then used by the S4P farm advisers to support advice
specific to the farm as part of the S4P ‘On-Farm Resource Review of Soils, Manures and Nutrients’, and in
particular, to help demonstrate nutrient budgeting.
The SWARM Hub, also part of the SWARM Initiative, has collated and analysed the data from 3,447 samples
to produce this report in association with S4P staff.
The aim of this report is to summarise the findings of the samples taken in terms of:
Soil pH;
Soil Organic Matter (SOM) status; and
Key nutrients i.e., Phosphate (P), Potash (K) and Magnesium (Mg).
Methodology
Upon registration to the Soils for Profit project farmers were sent packs with instructions on how to take the
samples. The soil samples were then collected and sent to the appointed laboratory by the farmers
themselves. Standardised analysis was carried out by NRM (Natural Resource Management Ltd.) and the
results for each farmer returned to the S4P Project which assigned them to a farm adviser who interpreted
the results and demonstrated nutrient budgeting for the farmer whilst on farm. The results obtained
between September 2011 and August 2013 were aggregated and supplied by the Natural England’s S4P
project team (anonymised) to the SWARM Hub for this report.
Results from a total of 3,447 soil samples (usually from different fields) were included in the dataset, from
699 participating farmers, spread across the six counties of the South West Region. Figure S1 in the appendix
shows the spread of samples and farms by county.
Each sample was analysed for pH, SOM, and key nutrients P, K and Mg. Farmers were also asked to specify
the current cropping. For the purpose of this report the crop types have been grouped into arable
(including cereals, vegetables and bulbs) and grassland (including permanent pasture, short-term leys and
silage crops).
2. 2
When reading this report it should be remembered that soil samples are often taken by farmers from their
more challenging fields. If this was the case it could influence the data. However there is no indication that
this happened, therefore for the purpose of this analysis, it is assumed that the samples were taken across a
representative area of the farms by those farmers who participated.
Results and conclusions
Of the samples analysed 771 soil samples were from arable land, whilst 2,578 soil samples were from
grassland and 98 soil samples did not specify the cropping. The latter were not included in this preliminary
analysis.
The number of soil samples that were either under, met or above the recommended pH, SOM and key
nutrient targets, as set out in Defra publication RB209, are shown in Table S1.
The number of soil samples that were under the recommended pH, SOM and key nutrient targets, as set out
in Defra publication RB209, are shown in Table S2 and S3 in the appendix.
Soil pH
The pH is a measure of acidity or alkalinity, with agricultural soils typically ranging from a pH of around 4.5
(termed ‘very acid’) to around 8.5 (termed ‘alkaline’). The availability of plant nutrients will vary depending
on the soil pH and the optimum availability will occur over a small range of pH values, termed the target pH
range. The table below specifies the target pH range for both arable and grass cropping.
Cropping Target pH Range
Arable 6.2 - 6.4
Grass 6.0 - 6.2
Source: RB209 Fertiliser Manual, Defra 2010
Of the 3347 soil samples tested for pH, only 14.3 % (110) of all the arable field samples and 16.8% (432) of
grassland samples were within the target pH range (Figure 1a and 1b).
47% of all samples were under the target pH. This included 31.8% (245) of the arable samples and 51.6%
(1,329) of the grassland samples.
3. 3
Figure 1: Each arable (a) and grassland (b) sample has been plotted against its pH level. Each dot represents an
individual soil sample. The dots are colour-coded according to county. Those that lie within the green shaded area are
within the target pH range. Those that fall outside the green shaded area are not within the target pH range. See Figure
S3 and Table S1 in the appendix to see the percentages of samples that fall outside of the target pH range as set out in
the Defra RB209 Fertiliser Manual.
4.5
5
5.5
6
6.5
7
7.5
8
8.5
9
SoilpH
Sample
Figure 1a: Arable soil pH results Soil pH Cornwall
Soil pH Devon
Soil pH Dorset
Soil pH Gloucestershire
Soil pH Somerset
Soil pH Wiltshire
The green shaded
area represents
the target pH
index for arable
soils of pH 6.2-6.4
4
4.5
5
5.5
6
6.5
7
7.5
8
8.5
SoilpH
Sample
Figure 1b: Grassland soil pH results
Soil pH Cornwall
Soil pH Devon
Soil pH Dorset
Soil pH Gloucestershire
Soil pH Somerset
Soil pH Wiltshire
The green shaded area
represents the target pH
index for grassland soils of
pH 6.0 – 6.2.
4. 4
Just under one third of all grassland soil samples taken in the South West fell within the pH range of 5.5 – 5.9
(See Figure S2 in the appendix). Soils with pH lower than the recommended values will have significantly
reduced nutrient availability to the crop, especially in the case of phosphate. Micro nutrients are also
significantly affected by pH and decisions to apply additional nutrients should only be made after underlying
pH issues are remedied. Although it is important to remember that some plants and habitats favour acid
conditions, these are unique cases. To learn more about the benefits of optimal soil pH and tips on how to
accomplish a good soil pH click here.
Soil Organic Matter (SOM)
SOM helps bind soil mineral particles together and is important for providing crops with a number of
essential nutrients in available forms. Maintaining a good SOM is important as it is essential for chemical
interactions within the soil and also helps to strengthen soil structure. SOM is expressed in this report as a
percentage of soil volume.
There are no specific targets for SOM, as the amount of organic matter in a soil is highly dependent on
factors such as soil type, climate and farming system. However, the general recommendation is to at least
maintain, and where possible increase SOM levels. An organic matter of below 3% is recognised by many
advisers as being a catalyst for long-term soil problems.
Figures 2a and 2b show that SOM is much lower in arable fields than grassland as more than 11.3% of arable
soil samples were below the 3% SOM benchmark as opposed to only 1.5% of grassland soil samples.
National findings indicate that declining SOM is a growing problem particularly in arable situations and
especially where grass has been ploughed for arable cropping. If you would like to read more about
enhancing your soil biology click here.
0
2
4
6
8
10
12
14
16
18
20
SOM(%)
Sample
Figure 2a: Soil Organic Matter (%) from Arable Farms by county
SOM Cornwall
SOM Devon
SOM Dorset
SOM
Gloucestershire
SOM Somerset
SOM Wiltshire
The green line represents
the recommended
benchmark that soil
should be made up of at
least 3% SOM
5. 5
Key Nutrients
Phosphate (P), Potash (K) and Magnesium (Mg) indices were analysed in all soil samples. The target indices
for all crops are as follows:
Nutrient Target Indices
Phosphate 2
Potash 2-
Magnesium 2
Source: RB209 Fertiliser Manual, Defra 2010
P and K levels over or under the target index will impact on crop productivity as well as how the crop utilises
other applied nutrients. If the index is too high there is a risk of economic and environmental loss through
applying nutrients that are not required, and if the indices are too low there is likely to be yield
consequences.
0
10
20
30
40
50
60
0 200 400 600 800 1000
SOM(%)
Sample
Figure 2b:Soil Organic Matter (%) from Grassland Farms by County
SOM Cornwall
SOM Devon
SOM Dorset
SOM Gloucestershire
SOM Somerset
SOM Wiltshire
Figure 2: Each arable (a) and grassland (b) sample has been plotted against soil organic matter percentage volume. Each dot
represents an individual soil sample. The dots are colour-coded according to county. Those that lie on or below the line are
thought to be at risk of long-term problems and those that lie above the green line are above the recommended 3%
benchmark.
The green line represents
the recommended
benchmark that soil should
be made up of at least 3%
SOM
6. 6
Being over the target index for Mg typically will not limit crop production and grass growth is unlikely to
respond to applications; nevertheless, it is important to maintain levels in order to prevent Mg deficiency in
cattle which causes the metabolic disorder known as grass staggers. This analysis revealed only a small
percentage of samples that were under the target index for Mg, the majority were within or above it.
This analysis revealed that 29.2% (225) arable samples and 44.8% (1,156) of grassland samples which were
taken from farms across the South West region were under target for Phosphate (P) index (see figures 3a
and 3b). These percentages did not vary much between counties.
When testing for Potash (K) values, the analysis revealed that 23.2% (179) of the arable samples and 43.5%
(1,121) grassland samples were not meeting the target index (see figures 4a and 4b). Cornwall showed the
highest proportion of arable (44.7%) soil samples below the target index for K and Devon had the highest
proportion of grassland soil samples (16.6%) below the target index for K.
It should be noted that for both key nutrients i.e. Phosphate & Potash the grassland samples showed lower
levels than the arable samples.
In terms of Magnesium (Mg) this was the contrary, a higher percentage of arable samples (5.9%) were below
the target index whereas the grassland samples only 1.5% were below target (see figures 5a and 5b).
7. 7
Figure 3: The graphs shows the number of arable (a) and grassland (b) farms soil samples that scored each of the P
index values categorised by county. The index scales ranges from 0 – 6 and the target index for P is 2. The area of the
bar that is red or pink represents the samples which were under the target index, the areas which are green met the
target index, and the areas which are blue exceed the target index.
0
50
100
150
200
250
Cornwall Devon Dorset Gloucs Somerset Wilts
Numberofsamples
County where farm soil sample was taken from
Figure 3a: Arable farms - P indices by county
P Index 6
P Index 5
P Index 4
P Index 3
P Index 2
P Index 1
P Index 0
0
100
200
300
400
500
600
700
800
900
1000
Cornwall Devon Dorset Gloucs Somerset Wilts
Numberofsamples
County where farm soil sample was taken frrom
Figure 3b: Grassland farms - P Indices by county
P Index 6
P Index 5
P Index 4
P Index 3
P Index 2
P Index 1
P Index 0
8. 8
Figure 4: The graphs shows the number of arable (a) and grassland (b) farms soil samples that scored each of the K
index values categorised by county. The index scale is 0, 1, 2-, 2+, 3, 4, 5, and 6, and the target index for K is 2-. The area
of the bar that is red or pink represents the samples which were under the target index, the areas which are green met
the target index, and the areas which are blue exceed the target index.
0
50
100
150
200
250
Cornwall Devon Dorset Gloucs Somerset Wiltshire
Numberofsamples
County where farm soil sample was taken from
Fig 4a: Arable farms - K indices by county
K Index 6
K Index 5
K Index 4
K Index 3
K Index 2+
K Index 2-
K Index 1
K Index 0
0
100
200
300
400
500
600
700
800
900
1000
Cornwall Devon Dorset Gloucs Somerset Wiltshire
Numberofsamples
County where farm soil sample was taken from
Figure 4b: Grassland farms - K Indices by county
K Index 6
K Index 5
K Index 4
K Index 3
K Index 2+
K Index 2-
K Index 1
K Index 0
9. 9
Figure 5: The graphs shows the number of arable (a) and grassland (b) farms soil samples that scored each of the Mg
index values categorised by county. The index scale ranges from 1 – 8 and the target index for Mg is 2. The area of the
bar that is red represents the samples which were under the target index, the areas which are green met the target
index, and the areas which are blue exceed the target index.
0
50
100
150
200
250
Cornwall Devon Dorset Gloucs Somerset Wiltshire
Numberofsamples
County where farm soil sample was taken
Figure 5a: Arable farms - Mg indices by county
Mg Index 6
Mg Index 5
Mg Index 4
Mg Index 3
Mg Index 2
Mg Index 1
0
100
200
300
400
500
600
700
800
900
1000
Cornwall Devon Dorset Gloucs Somerset Wiltshire
Numberofsoilsamples
County where soil sample was taken from
Figure 5b: Grassland farms - Mg Indices by county
Mg Index 8
Mg Index 7
Mg Index 6
Mg Index 5
Mg Index 4
Mg Index 3
Mg Index 2
Mg Index 1
10. 10
In summary the findings suggest that:
Approximately one third of all samples met the target index for P, K or Mg
Samples below the target index were as follows:-
o 41.2% - P ,
o 38.8% - K,
o 2.5% - Mg
Samples on target were as follows:-
o 29% - P
o 27.3% - K
o 35.1% - Mg
Soil samples above target were as follows:_
o 29.7% - P
o 33.9% - K
o 62.3% - Mg
Cornwall has the highest proportion of soil samples from arable fields (>40%) below the target
index for K
Overall a much higher proportion of grassland soil samples are below the target index for P and K
than arable soils
Only a small number of both arable and grassland samples are below the target index for Mg
Key Conclusions
Soil pH
47% of samples taken were below the target pH as specified in the Defra RB209 fertiliser manual
Devon has the highest proportion of arable (53.5%) and grassland (64%) soil samples below target
pH
Cornwall had the second highest proportion of arable (44%) and grassland (63%) soil samples that
were below target pH
Gloucestershire has a high proportion (83.8%) of arable soil samples that were above the target pH
Dorset and Wiltshire had a high percentage of samples (both arable and grassland) which were
above the target pH
Soil Organic Status
From the soil samples taken from arable farms in Gloucestershire only seven were below the 3%
benchmark
Only two grassland samples from farms in Wiltshire, five from Gloucestershire and six from Dorset
were below the 3% SOM benchmark
The analysis showed that 22.6% of samples from arable fields and 3% from grasslands had an organic
matter percentage below the 3% benchmark
11. 11
Key Nutrients
In four of the six counties approximately 50% of grassland soils sampled were below the target P
index (Dorset, Gloucestershire, Somerset and Wiltshire). In Cornwall and Devon approximately 38%
of grassland samples were below
Arable farms in Cornwall were particularly K depleted compared with the other counties in this
study
Between 30 – 55% of grassland soil samples taken from Cornwall, Devon, Dorset, Somerset and
Wiltshire were below the target K index
More arable samples had P and K indices which were above target than grass samples
Generally Mg levels appear to be good with the majority of samples being within or above the target
index for both arable and grass crop type samples
Reference
The target indices are taken from page 104 (arable)and page 179 (grassland) of the RB209 Fertiliser
Manual, Defra 2010
12. 12
Appendix
Figure S1: The number of farms participating and samples analysed per county.
Figure S2: This graph shows the number of arable and grassland soil samples with particular pH values. It should be
noted that the modal pH of the grassland (green bars) samples from the South West are within the pH range of 5.5 –
5.9. For arable (blue bars) samples, the modal pH is within the range of 5.8 – 6.1.
0
200
400
600
800
1000
1200
Cornwall Devon Somerset Dorset Gloucs Wilts
Figure S1: Farms and samples by county
No of farms
No of fields
0
20
40
60
80
100
120
140
160
180
200
4.3 4.5 4.7 4.9 5.1 5.3 5.5 5.7 5.9 6.1 6.3 6.5 6.7 6.9 7.1 7.3 7.5 7.7 7.9 8.1 8.3 8.5
Numberofsoilsamples
Soil pH
Figure S2: Number of arable and grassland soil samples at different pH
Grassland
Arable
13. 13
Figure S3: These graphs show the percentage of arable (a) and grassland (b) soil samples that fell outside the target pH
for the particular cropping systems. The red areas represent those soils samples that were too acidic, the green areas
are those soils samples that met the target pH and the blue areas represent the soil samples that are more alkaline than
recommended. The values used in this figure can be seen in Table S1 below.
0
10
20
30
40
50
60
70
80
90
100
Cornwall Devon Dorset Gloucs Somerset Wiltshire
Figure S3a: Proportion of arable soil samples compared to target pH per
county
Over pH 6.4
Between pH 6.2-6.4
Under pH 6.2
0
10
20
30
40
50
60
70
80
90
100
Cornwall Devon Dorset Gloucs Somerset Wiltshire
Figure S3b: Proportion of grassland soil samples compared to target pH
per county
Over pH 6.2
Between pH 6.0-6.2
Under pH 6.0
14. 14
Table S1: The percentage of arable and grassland soil samples that were under, met or above the target pH range
compared by county in the South West.
Arable Grassland
County
Under
target pH
Met
target pH
Above
target pH
Under
target pH
Met
target pH
Above
target pH
Cornwall 44 18.8 37.2 63 17 20
Devon 53.5 16.2 30.3 44 18 18
Dorset 18.3 15 66.7 35 16 49
Gloucs 12.2 4 83.8 16 16 68
Somerset 25 15 60 42 16 42
Wiltshire 10.8 10.8 78.4 32 15 53
Table S2: The number of arable soil samples that were below the recommended SOM benchmark or key nutrient index
compared by county.
County
Total number of
arable soil samples
Number of arable soil samples below indices
3% SOM P index K index Mg index
Cornwall 218 14 63 80 7
Devon 155 30 45 41 1
Dorset 60 8 20 16 7
Gloucestershire 99 7 31 12 7
Somerset 119 15 35 16 5
Wiltshire 120 13 31 14 19
Total 771 87 225 179 46
Table S3: The number of grassland soil samples that were below the recommended SOM benchmark or key nutrient
index compared by county.
County
Total number of
grassland soil
samples
Number of grassland soil samples below indices
3% SOM P index K index Mg index
Cornwall 650 7 259 341 9
Devon 902 11 342 429 8
Dorset 178 6 86 74 4
Gloucestershire 234 5 136 62 1
Somerset 429 8 236 157 11
Wiltshire 185 2 97 58 6
Total 2578 39 1156 1121 39