Tillage is the mechanical manipulation of soil with tools and implements for obtaining conditions ideal for seed germination, seedling establishment and growth of crops.
Tillage is the mechanical manipulation of soil with tools and implements for obtaining conditions ideal for seed germination, seedling establishment and growth of crops.
Conservation agriculture useful for meeting future food demands and also contributing to sustainable agriculture.
Conservation agriculture helps to minimizing the negative environmental effect and equally important to increased income to help the livelihood of those employed in agril. Production.
Introduction of conservation technologies (CT) was an important break through for sustaining productivity, It seeks to conserve, improve and make more efficient use of natural resources through integrated management of soil, water, crops and other biological resources in combination with selected external inputs.
Definition and introduction of fertilizer use efficiency , Causes for Low and Declining Crop Response to Fertilizers and FUE.Methods to increase fertilizer use efficiency.
Conservation tillage, Practices used in Conservation Tillagescience book
This is presentation on topic of Conservation Tillage, it gives You information about conservation tillage, types of conservation tillage, Practices used in conservation tillage. It enhanced Your knowledge about conservation tillage.
Balanced fertilizer use refers to application of essential plant nutrients in optimum quantities and in right proportional through appropriate method and time of application suited for a specific crop and agronomic situation.
Aims of Balanced Fertilization:
a) Increasing crop yield,
b) Improving quality of the produce ,
c) Increasing farm income,
d) Correction of inherent soil nutrient deficiencies and toxicities
e) Maintaining or improving lasting soil fertility,.
f) Reduces environmental hazards
This presentation is only with respect to the Parasitic Weed and their management tactics, falling under the category of Specificity while classifying weeds.
describes the irrigation and irrigation requirements of different crops. this ppt also describes about different methods to measure the soil moisture availability.
Effects of Water Deficiency on the Physiology and Yield of Three Maize GenotypesAgriculture Journal IJOEAR
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Conservation agriculture useful for meeting future food demands and also contributing to sustainable agriculture.
Conservation agriculture helps to minimizing the negative environmental effect and equally important to increased income to help the livelihood of those employed in agril. Production.
Introduction of conservation technologies (CT) was an important break through for sustaining productivity, It seeks to conserve, improve and make more efficient use of natural resources through integrated management of soil, water, crops and other biological resources in combination with selected external inputs.
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This is presentation on topic of Conservation Tillage, it gives You information about conservation tillage, types of conservation tillage, Practices used in conservation tillage. It enhanced Your knowledge about conservation tillage.
Balanced fertilizer use refers to application of essential plant nutrients in optimum quantities and in right proportional through appropriate method and time of application suited for a specific crop and agronomic situation.
Aims of Balanced Fertilization:
a) Increasing crop yield,
b) Improving quality of the produce ,
c) Increasing farm income,
d) Correction of inherent soil nutrient deficiencies and toxicities
e) Maintaining or improving lasting soil fertility,.
f) Reduces environmental hazards
This presentation is only with respect to the Parasitic Weed and their management tactics, falling under the category of Specificity while classifying weeds.
describes the irrigation and irrigation requirements of different crops. this ppt also describes about different methods to measure the soil moisture availability.
Effects of Water Deficiency on the Physiology and Yield of Three Maize GenotypesAgriculture Journal IJOEAR
Three maize genotypes research experiment was carried out in the experimental farm of University of Debrecen, Hungary. The genotypes were subjected to two different treatments, (irrigated and non-irrigated) where the irrigated was the control experiment. Physiological parameters (SPAD, LAI, HEIGHT) and grain yield (kg ha-1) were measured and statistically computed. From our results, SPAD, LAI and HEIGHT values were significantly affected by water stress in the three studied genotypes. Grain yield was reduced in two of the studied genotypes (S.Y Zephir and S.Y Chorintos). But no significant difference was notice in the KWS 4484 cultivar. LAI was not affected in the second measurement in the S.Y Chorintos genotype and, plant height did not record any difference in the first measurement in the KWS 4484 cultivar. Our results suggest second experiment to specifically look at the critical stage in the genotypes growth where water stress has the severe effect on the studied genotypes.
Response of Maize (Zea mays L.) for Moisture Stress Condition at Different Gr...paperpublications3
Abstract: A field experiment was conducted for two consecutive seasons (2011/12 and 2012/13) at Koka Research Station of Wondo Genet Agricultural Research Center, Ethiopia8°26’ N latitude, 39°2’ E longitude and 1602masl altitude with the objective to identify maize growth stages sensitive to soil moisture stress, determine critical time for irrigation application for limited water resources and productivity of water. Fifteen treatments was used depriving irrigation on combination of four growth stages of maize (Zea maize L.) Variety Melkass-II. Randomized completely block design (RCBD) with three replication was used. Results indicated that both years plant height, 1000 seed weight, above ground biomass, grain yield and water use efficiency (WUE) were significantly (p<0.001)><0.01)><0.05).><0.001)><0.05) affected. The study had shown that during both the first and second year maximum grain yield (9253kg/ha and 11748kg/ha) was obtained due to stressing maize only at initial stage enhance grain yield which indicated that stressing moisture only at initial stage enhance grain yield. Moisture stress at mid-season should be avoided especially when combined with moisture stress at development stage. Moreover, moisture stress at initial and late seasons enhance water use efficiency without significantly reducing the yield from the higher yielding treatments.
Response of Maize (Zea mays L.) for Moisture Stress Condition at Different Gr...paperpublications3
Abstract: A field experiment was conducted for two consecutive seasons (2011/12 and 2012/13) at Koka Research Station of Wondo Genet Agricultural Research Center, Ethiopia8°26’ N latitude, 39°2’ E longitude and 1602masl altitude with the objective to identify maize growth stages sensitive to soil moisture stress, determine critical time for irrigation application for limited water resources and productivity of water. Fifteen treatments was used depriving irrigation on combination of four growth stages of maize (Zea maize L.) Variety Melkass-II. Randomized completely block design (RCBD) with three replication was used. Results indicated that both years plant height, 1000 seed weight, above ground biomass, grain yield and water use efficiency (WUE) were significantly (p<0.001)><0.01)><0.05).><0.001)><0.05) affected. The study had shown that during both the first and second year maximum grain yield (9253kg/ha and 11748kg/ha) was obtained due to stressing maize only at initial stage enhance grain yield which indicated that stressing moisture only at initial stage enhance grain yield. Moisture stress at mid-season should be avoided especially when combined with moisture stress at development stage. Moreover, moisture stress at initial and late seasons enhance water use efficiency without significantly reducing the yield from the higher yielding treatments.
Keywords: Depriving irrigation, growth stages, maize, moisture stress.
Stimating long-term forage production using precipitation pattern in Dehshir ...Innspub Net
Knowledge on changes of the factors affecting range forage production is the main prerequisite for understanding the processes and optimal management of rangelands. In this research, the effects of precipitation variables, were studied on long-term forage production of somedominant range species, in Dehshirrangelands, Yazd province, during 9 years (2004 to 2012). Regression analysis was used to examine the relationship between annual production and different precipitation pattern. According to the results, rainfall of past year in addition to rainfall of growing season has the greatest impact on forage production in site of Dehshir. Plant with platability class (I) and platability class (III) correlated with previous rainfall, respectively (r2 = 0.9 & 0.88), andplatability class (II) with growing season rainfall (r2 = 0.7o). Long- term production is estimated at 243.15 (kg/ha).
Evaporation and Production Efficiency Modelling Using Fuzzy Linear RecurrenceAI Publications
The relationship between crop production and amount of evapotranspiration is very important to agronomists, engineers, economists, and water resources planners. These relationships are often determined using classical least square regression (LSR). However, one needs high amount of samples to determine probability distribution function. Linear regression also requires so many measurements to obtain the valid estimates of crop production function coefficients. In addition, deriving ET-yield regression for each crop and each district is usually expensive, since lysimetric experiments should be repeated for several years for each crop. The object of this study is to introduce a fuzzy linear regression as an alternative approach to statistical regression analysis in determining coefficients of ET- yield relations for each crop and each district with minimum data. The application of possibilistic regression has been examined with a case study. Two data set for winter wheat in Loss Plateau of China and North China Plain have been used. The current finding shows capability of possibilistic regression in estimation of crop yield in data shortage conditions.
4 Review on Different Evapotranspiration Empirical EquationsINFOGAIN PUBLICATION
For optimal design and management of hydrologic balance and scheduling irrigation models, the need to measure Evapotranspiration is of great importance. It helps in predicting when and how much water is required for any particular irrigation scheme. Reference Evapotranspiration is a standard nomenclature defined by FAO to provide a reference frame although it is not a full proof equation. Several scientists have developed multiple equations based of three primary directions viz. temperature based methods, radiation based methods and mass – transfer methods. Here in this paper, we have carried out a review on most of the popular equations and the objective is to elucidate the advantages and drawbacks each one of them register when put into use. The reference equation for standardization considered here is FAO 56 Penman Montheith equation. Thirty other equations from the three schools have been analysed here. Statistical Regression Analysis methods and coefficient of determination (R2), Root Mean Square Error (RMSE) and index of agreement (d) are the analytical parameters those are to be used while estimating their acceptance in evaluating the throughputs
Effect of conservation agriculture on soil moisture content and biomass water...Innspub Net
One of the important principles of Conservation Agriculture is the permanent soil cover with crop residues which enhances soil and water productivity that leads to improved agricultural productivity. The effect of crop residues on soil moisture content, relative growth rate and biomass water productivity were examined in a completely randomized design at the University of Reading, Berkshire district, England. Straw treatment was significant on moisture content and water use efficiency at (p< 0.01) respectively while there is no significant difference on mean relative growth rate and dry final biomass weights. The study concluded that soil moisture content is conserved with increased use of crop residues as soil cover. The study therefore recommended that project based research on Conservation Agriculture should be carried out by governments and NGO’s that will involve farmers; also they should provide support for the knowledge diffusion of Conservation Agriculture to local farmers since it will improve yield and productivity. Extension agents and other agencies that work with farmers should also be properly trained to be able to disseminate this technology to farmers.
Water Requirement and Crop Coefficient of Onion (Red Bombay) in the Central R...paperpublications3
Abstract: Determination of crop water requirement is the primary duty in any irrigation planning. This can be obtained through determining crop coefficient (Kc) which integrates the effect of characteristics that distinguish a typical field crop from the grass reference that has a constant appearance and a complete ground cover. Consequently, different crops will have different Kc coefficients. The changing characteristics of the crop over the growing season also affect the Kc coefficient. Hence crop coefficient (Kc), the ratio of potential crop evapotranspiration to reference evapotranspiration, is an important parameter in irrigation planning and management. However, this information is not available for many important crops for a specific area. A study was carried out at Melkassa Agricultural Research Center of Ethiopian Institute of Agricultural Research, which is located in a semi arid climate of the great central rift valley. A drainage type lysimeters was used to measure the daily evapotranspiration of Onion, Red Bombay variety, on a clay loam soil. Crop coefficient was developed from measured crop evapotranspiration (3.00, 4.58, 6.11 and 4.63) and calculated reference evapotranspiration using weather data (4.92, 5.33, 5.99 and 5.79). The measured values of crop coefficient for the crop were 0.34, 0.70, 1.01 and 0.68 during initial, development, mid-season and late-season growth stages respectively. These locally determined values can be used by irrigation planners and users in the central rift valley and other areas with similar agroecological conditions.
Water Requirement and Crop Coefficient of Onion (Red Bombay) in the Central R...paperpublications3
Abstract: Determination of crop water requirement is the primary duty in any irrigation planning. This can be obtained through determining crop coefficient (Kc) which integrates the effect of characteristics that distinguish a typical field crop from the grass reference that has a constant appearance and a complete ground cover. Consequently, different crops will have different Kc coefficients. The changing characteristics of the crop over the growing season also affect the Kc coefficient. Hence crop coefficient (Kc), the ratio of potential crop evapotranspiration to reference evapotranspiration, is an important parameter in irrigation planning and management. However, this information is not available for many important crops for a specific area. A study was carried out at Melkassa Agricultural Research Center of Ethiopian Institute of Agricultural Research, which is located in a semi arid climate of the great central rift valley. A drainage type lysimeters was used to measure the daily evapotranspiration of Onion, Red Bombay variety, on a clay loam soil. Crop coefficient was developed from measured crop evapotranspiration (3.00, 4.58, 6.11 and 4.63) and calculated reference evapotranspiration using weather data (4.92, 5.33, 5.99 and 5.79). The measured values of crop coefficient for the crop were 0.34, 0.70, 1.01 and 0.68 during initial, development, mid-season and late-season growth stages respectively. These locally determined values can be used by irrigation planners and users in the central rift valley and other areas with similar agroecological conditions.
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.
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Crop response production functions
1. DEPARTMENT OF AGRONOMY
AN ASSIGNMENT ON Crop Response Production Functions
SUBMITTED TO: - DR. M.L.
Kewat sir
(DEPARTMENT OF AGRONOMY)
SUBMITTED BY:- MAHENDRA
ANJNA
ENROLLMENT NO: 170111010
CLASS: - M.SC. (Ag.) PREVIOUS
YEAR
DEPARTMENT OF AGRONOMY
2. Crop response production
functions
1. The work of agronomists and other production
oriented scientists is frequently directed at the goal
of establishing the level of input necessary to
achieve maximum yield per ha. This particular
goal is implicit in all efforts intended to ensure that
resource (input) does not become limiting.
2. Another measure of desirability frequently
encountered in the literature is that of maximum
input use efficiency. Maximum input use efficiency
is said to exist when the crop yield per unit of
input is maximized.
3. A production function or total physical product curve in which yield (Y)
is a function of the amount of input (I), with all other variables held
constant, can be defined as follow:
Y= f(i) …………………………………………… 1
Two related concepts can be introduced. The average physical product
(APP) which is simply output divided by input, can be written as
APP = Y/I …………………………………………….2
The marginal physical product (MPP) is defined as the change in yield
or output associated with the addition of one or more units of input. It
can be written as
MPP = dY /dI ………………………………………..3
Economic analysis, on other hand, defines the most efficient level of resource
use in terms of value. The efficient use of land, water and other resources
depends upon their value in a given activity relative to their value in achieving
other purposes. Economically, efficient input use requires that the farmer
apply input so long as the additional revenue generated exceeds the additional
cost of that input.
4. The scientific literature on production functions fits more or less into three
classifications: (1) early related studies,
(2) physiological approaches ,
(3) semi empirical approaches.
We are restricting to crop water production functions.
Early related studies:-
Since the beginning of the twentieth century, researchers have been studying
the relationship between crop yield and water use.
De Wit (1958) analyzed the findings of the early investigations in an effort to
further identify the factors that determine transpiration and yield under field
conditions. He concluded that the relationship between dry matter yield (Y)
and transpiration (T) for arid and semiarid regions of the world was linear
with the following form:
Y = m (T/E0) ……………………………………………………..(5)
A review of Agronomic and Physiological
Production Functions:-
5. Where, m is a coefficient accounting for such factors as crop (and variety of
crop), availability of water and weather conditions not accounted for by E0.
He also concluded that this relationship was equally valid for container and
field grown crops. For humid regions, he suggested that Y = nT.
Physiological approaches:-
Plant responses are the result of the complex interaction of many physiological
processes, each of which may be affected differently by water deficits. Hsiao et
al (1976) pointed out that what is known of water stress relationships in crops
was learned almost exclusively from empirical work from thousands of
irrigation trials conducted over many decades. They presented a simplified
diagram of the general effects of water stress on yield that makes evident the
multiplicity of interactions among water stress, growth, development, ontogenic
stages and yields. Begg and Turner (1976) classified the effects of water deficit
on crop growth and development into three main categories: morphological,
physiological and ontogenic effects on the sensitivity of crops at different
stages of development.
6. Semi empirical approaches:-
The semi empirical approaches are usually characterized by efforts to
relate crop yield to either (1) soil moisture content or moisture
tension, (2) transpiration or evapo- transpiration, or (3)
applied irrigation water.
1. Crop yield as a function of evapo-transpiration:-
Stewart et al (1977) reported generalized production function based on
findings from three experiments in which corn, sorghum, beans and
alfalfa were grown over a number of years.
2. Crop yield as a function of applied water:-
Stewart and Hagan (1973) suggested that although ET is the field
level water parameter associated most directly with yield, the depth
of irrigation water applied (IRR) represents water purchased and is
most concern to planners and irrigators.
7. There exists evidence that the form of the yield v/s IRR function is
convex in contrast with the straight line form of the yield v/s ET
function. For example, Howe and Rhoades (1955) examined 13
irrigation treatments on corn in a very fine sandy loam soil and found
a sigmoidal relationship between dry matter production and applied
water. Stewart and Hagen (1973) showed that the functional relation
between yield and the seasonal irrigation depth of the field water
supply (which includes rainfall and available soil moisture at
planting) is convex (a second degree polynomial).
3. Growth stage effects:-
Jensen (1968) developed a production function which divided the
growing season into stages, with ET in each stage having a unique
effect on yield. The function expresses relative yield (actual yield
divided by potential yield, (Ya/Ymax) as a function of relative ET
(actual ET divided by ET when soil moisture is non limiting)
8. References:-
Gardner BL & Rausser GC.2001.Handbook of Agriculture Economics.Vol.1.
Agricultural Production. Elsevier.
Beattie BR & Taylor CR, 1985.The Economics of Production. John Wiley & Sons.
http://agropedia.iitk.ac.in/content/
http://www.fao.org/docrep/016/i2800e/
http://www.ccsenet.org/journal/index.php/jas/article/viewFile/22777/15487
http://www.ccsenet.org/journal/index.php/jas/article/viewFile/56697/31040