Potassium- Forms,Equilibrium in soils and its agricultural significance ,mech...Vaishali Sharma
The slide is conserned with the potassium fertilisers apllied in the soils. When the fertiliser applied in higher amount then it is avail in different form for plant uptake and there exist a equilibrium in soils and it has many agricultural significance and the slide also deal with brief on the mechanism of potassium fixation in the soil.
Potassium- Forms,Equilibrium in soils and its agricultural significance ,mech...Vaishali Sharma
The slide is conserned with the potassium fertilisers apllied in the soils. When the fertiliser applied in higher amount then it is avail in different form for plant uptake and there exist a equilibrium in soils and it has many agricultural significance and the slide also deal with brief on the mechanism of potassium fixation in the soil.
First lab managers’ meeting of the South-East Asia Laboratory NETwork (SEALNET 2.0) - Quality improvement in Asian soil laboratories: towards standardization and harmonization of soil analyses and their interpretation, Bogor, Indonesia, 20 - 24 November 2017.
The colloidal state refers to a two-phase system in which one material in a very finely divided state is dispersed through second phase.
Eg., Solid in liquid (Dispersion of clay in water) and Liquid in gas (Fog or clouds in atmosphere).
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
restoring the soil physical structure and chemical fertility, improving soil organic C and therefore, sustaining the system productivity. Nitrogen fixers and phosphate solubilizer contribute through biological fixation of nitrogen, solubilization of fixed nutrients and enhanced uptake of plant nutrients (Gupta et al., 2003).
INM tries to reduce the need for chemical fertilizers by taking advantages of non-chemical sources of nutrients such as the manures, composts and bio-fertilizers (Gopalasundaram et al., 2012). Bio-fertilizers application not only increases plants growth and yield, but increase soil microbial population and activity; resulting in improved soil fertility (Ramesh et al., 2014). They include free-living bacteria which promote plant growth even in polluted soils. Azospirillum, Azotobacter, Pseudomonas, Bacillus and Thiobacillus are examples of these bacteria (Zahir et al., 2004). Niess (2002) reported that plant growth promoting bacteria reduced the toxicity of heavy metals and increased plant growth and yield.
Intercropping has been in practice for centuries to sustain yield, minimize risk, utilize the lag phase, and improve productivity (Rao, 2000). It reported that physico-chemical changes in soil under pure and alley cropping with Leucaena leucocephala (after six year) and found that alley cropping more suitable than pure crop (Gangwar et al., 2004).
First lab managers’ meeting of the South-East Asia Laboratory NETwork (SEALNET 2.0) - Quality improvement in Asian soil laboratories: towards standardization and harmonization of soil analyses and their interpretation, Bogor, Indonesia, 20 - 24 November 2017.
The colloidal state refers to a two-phase system in which one material in a very finely divided state is dispersed through second phase.
Eg., Solid in liquid (Dispersion of clay in water) and Liquid in gas (Fog or clouds in atmosphere).
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
restoring the soil physical structure and chemical fertility, improving soil organic C and therefore, sustaining the system productivity. Nitrogen fixers and phosphate solubilizer contribute through biological fixation of nitrogen, solubilization of fixed nutrients and enhanced uptake of plant nutrients (Gupta et al., 2003).
INM tries to reduce the need for chemical fertilizers by taking advantages of non-chemical sources of nutrients such as the manures, composts and bio-fertilizers (Gopalasundaram et al., 2012). Bio-fertilizers application not only increases plants growth and yield, but increase soil microbial population and activity; resulting in improved soil fertility (Ramesh et al., 2014). They include free-living bacteria which promote plant growth even in polluted soils. Azospirillum, Azotobacter, Pseudomonas, Bacillus and Thiobacillus are examples of these bacteria (Zahir et al., 2004). Niess (2002) reported that plant growth promoting bacteria reduced the toxicity of heavy metals and increased plant growth and yield.
Intercropping has been in practice for centuries to sustain yield, minimize risk, utilize the lag phase, and improve productivity (Rao, 2000). It reported that physico-chemical changes in soil under pure and alley cropping with Leucaena leucocephala (after six year) and found that alley cropping more suitable than pure crop (Gangwar et al., 2004).
Potassium is one of the essential major plant nutrient after nitrogen and phosphorus. Its management is more important since large amount of native k is mined by crops if it is not supplied externally. Role of potassium in increasing the yield of crops and improving the quality of produces has been in the agenda of soil scientists. It is seventh most common element in the lithosphere which contains on average 2.6% potassium.
The total potassium content of indian soils varies from 0.5 to 3.0%.Total potassium present in soils, more than 98% occurs in primary and secondary minerals.
CK Dotaniya= Role of Biofertilizers in Integrated Nutrient ManagementC. Dotaniya
The concept of INM is the continuous improvement of soil productivity on long term basis through suitable use of fertilizers and organic manures including green manure, biofertilizers and their scientific management for optimum growth, yield and quality of different crops and cropping system in specific agro-ecological situations.
Effect of integrated nutrient management and mulching practices on performanc...PRAVEEN KUMAR
Integrated Nutrient Management refers to the maintenance of soil fertility and of plant nutrient supply at an optimum level for sustaining the desired productivity through optimization of the benefits from all possible sources of organic, inorganic and biological components in an integrated manner.
Soil management strategies to enhance carbon sequestration potential of degra...koushalya T.N
Reclamation of degraded lands has huge potential for carbon (C) sequestration to counteract the climate change. It was estimated that about 1,964 Mha of land is degraded worldwide and in India 146.8 Mha of land is degraded ( Bai et al., 2008). The major land-degradation processes in the World and in Asia are water erosion, wind erosion, salinity, alkalinity, nutrient depletion and metal pollution. Enrichment of soil organic carbon (SOC) stocks through sequestration of atmospheric CO2 in agricultural soils and degraded lands is important because of its impacts on improving soil quality and agronomic production, and also for adaptation to mitigation of climate change. Various management strategies like conservation agriculture, integrated nutrient management, afforestation, alternate land use, plantations and amendments and use of biochar hold promise for long-term C sequestration. It can be concluded that land degradation is a serious problem in India which need to be tackled because shrinking of land resource base will lead to a substantial decline in food grain production which in turn would hamper the economic growth rate and there would also be unprecedented increase in mortality rate owing to hunger and malnutrition.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Toxic effects of heavy metals : Lead and Arsenicsanjana502982
Heavy metals are naturally occuring metallic chemical elements that have relatively high density, and are toxic at even low concentrations. All toxic metals are termed as heavy metals irrespective of their atomic mass and density, eg. arsenic, lead, mercury, cadmium, thallium, chromium, etc.
DERIVATION OF MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMINAL V...Wasswaderrick3
In this book, we use conservation of energy techniques on a fluid element to derive the Modified Bernoulli equation of flow with viscous or friction effects. We derive the general equation of flow/ velocity and then from this we derive the Pouiselle flow equation, the transition flow equation and the turbulent flow equation. In the situations where there are no viscous effects , the equation reduces to the Bernoulli equation. From experimental results, we are able to include other terms in the Bernoulli equation. We also look at cases where pressure gradients exist. We use the Modified Bernoulli equation to derive equations of flow rate for pipes of different cross sectional areas connected together. We also extend our techniques of energy conservation to a sphere falling in a viscous medium under the effect of gravity. We demonstrate Stokes equation of terminal velocity and turbulent flow equation. We look at a way of calculating the time taken for a body to fall in a viscous medium. We also look at the general equation of terminal velocity.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...
dynamics of soil potassium
1. Credit Seminar on
STUDIES ON DYNAMICS OF SOIL POTASSIUM AND
EFFECT OF DIFFERENT FORMS ON K AVAILABILITY TO
CROPS.
P. SOWMYA
RAM/2018-91
Dept of Soil science
PROF JAYASHANKAR TELANGANA STATE AGRICULTURAL UNIVERSITY
College of Agriculture, Rajendranagar,PJTSAU,Hyderabad-30
Course-in-charge: Dr. G. Padmaja
Professor and Head
Dept of SSAC
2. INTRODUCTION - POTASSIUM
• Potassium is the 3rd most important major nutrient in plant Nutrition.
• Potassium is the most abundant macronutrient in soils. It is also the
seventh most common element in the lithosphere which contains on
average 2.6% potassium.
• The total potassium content of Indian soils varies from 0.5 to 3.0%.
• Total potassium present in soils, more than 98% occurs in primary and
secondary minerals and the rest occurs in either fixed or non
exchangeable form or exchangeable (adsorbed) form or in soil solution.
• The role of potassium in increasing the yield of crops and improving the
quality of produce is the agenda of soil scientists.
3. ROLE OF POTASSIUM TO INCREASE CROP
YIELD
• Increases growth and improves drought
resistance for crop.
• Activates atleast 60 enzyme systems.
• Maintains turgor; reduces water loss and wilting.
• In photosynthesis and food formation.
• Reduces respiration, preventing energy losses.
• Enhances translocation of sugars and starch.
• Improves weight and quality of grain.
• Builds cellulose and reduces lodging.
• To helps for crop pest and disease resistance.
14. TABLE 6: EFFECT OF CONTINUOUS USE OF MINERAL FERTILIZERS
AND SOIL AMENDMENTS ON YIELD AND K UPTAKE OF MAIZE
TREATMENT GRAIN YIELD ( t ha-1 ) K UPTAKE ( kg ha-1)
T1 control 0.58 6.9
T2 100% N 0.00 0.00
T3 100% NP 3.02 21.3
T4 100% NPK 4.39 37.7
T5 100% NPK +FYM 6.02 53.9
T6 100% NPK+Lime 5.30 42.7
T7 100% NPK +Zn 4.31 32.5
T8 100% NPK(-S) 2.08 18.2
T9 50% NPK 3.26 28.8
T10 150% NPK 4.76 38.7
LSD(P=0.05) 0.54 3.9
Palampur Sood et al.2008
15. Exch. K
1%
Non-
exch.K
10%
Lattice.K
89%
Inorganic Exch.K
1%
Non-
exch.K
3%
Lattice K
96%
Rice straw
Exch.K
1%
Non-
exch.K
5%
Lattice.
K
94%
FYM
Exch.K
1%
Non-
exch.K
4%
Lattice.K
95%
Rice straw + FYM
Fig 4: Exchangeable (Exch.K), non-exchangeable (Non-exch.K) and lattice K as a proportion of
total K in surface soil (0-7.5 cm depth).
Yadav et al., 2018
PAU, Ludhiana
16. TREATMENTS POTASSIUM FRACTIONS (mg kg-1)
WS.K EXC.K NON EXC.K LATTICE.K TOTAL K
T1 - 30:75:00 kg
NPK ha-1
26 139 549 10047 10762
T2 - 30:75:30 kg
NPK ha-1
27 143 560 10195 10925
T3 - 30:75:60 kg
NPK ha-1
30 146 572 10351 11098
T4 - 30:75:90 kg
NPK ha-1
34 152 586 10535 11305
SE(m)± 0.43 4.03 1.76 29.68 27.96
CD at 5% 1.31 12.07 5.32 89.45 84.28
TABLE 7 : EFFECT OF DIFFERENT LEVELS OF POTASSIUM ON
ITS FORMS AT HARVEST OF SOYBEAN
Akola, Maharastra Lokya et al, 2018
17. Treatments Contribution of non-exchangeable K to total K uptake
Yield (q ha-1) Contribution of non-
exchangeable K to
total K uptake
(kg/ha)
Percent
Contribution
(%)
KUE (%)
Grain straw
T1 14.19 21.02 22.39 84.87 -
T2 15.76 25.06 11.53 29.29 5.24
T3 16.56 26.37 5.06 10.24 3.95
T4 17.21 27.04 2.60 9.87 3.36
TABLE 8: CONTRIBUTION OF NON-EXCHANGEABLE K TO
TOTAL K UPTAKE
Akola, Maharastra. Lokya et al, 2018.
18. POTASSIUM FIXATION
NON EXCHANGEABLE K
SOIL SOLUTION / EXCHANGEABLE K
Factors affecting K Fixation
1.Clay minerals
2.Soil pH
3.Wetting and Drying
4.Potassium Fertilization
19. TABLE 9 : LEACHING FROM TWO SOILS AFFECTED BY APPLICATION OF
ORGANIC AND INORGANIC FERTILIZERS UNDER FLOODED CONDITION
TREATMENT TOTAL K
ADDED (mg)
TOTAL K LEACHED
(mg/Column)
% OF K APPLIED
Sandy Loam Loam Sandy Loam Loam
RICE STRAW 130.4 58 (18.8) 33 (11.9) 14.4 9.2
WHEAT STRAW 43.6 40.7 (1.5) 24.1 (3.0) 3.4 6.8
POULTRY MANURE 55.3 48.8 (9.6) 26 (4.9) 17.3 8.8
FYM 102.7 41 (1.8) 23.5(2.4) 1.8 2.3
GREEN MANURE 67.3 41.3 (2.1) 23.1(2.0) 3.1 2.9
FERTILIZER K 39.3 45.4 (6.2) 29.8 (8.7) 15.8 22.2
CONTROL - 39.2 21.1 - -
Ludhiana, Punjab Singh et al., 2005
*Amount of K leached (Total – Control)
20. TABLE 10 : WATER SOLUBLE K IN UPLAND MOISTURE
CONDITIONS
TREATMENT SOIL TYPE
loam (mg/kg) sandy loam (mg/kg)
RICE STRAW 15 9
WHEAT STRAW 10 8
POULTRY MANURE 14 8
FYM 12 8
GREEN MANURE 14 10
FERTILIZER K 12 10
CONTROL 10 6
CD 3.8 2.7
Ludhiana, Punjab Singh et al., 2005
21. LANDUSE SYSTEM WS K EX K NE K MINERAL K TOTAL K FIX : EXC K
Agri - Rice 12.1 137.5 228.8 1.31 1.35 1.66
Agri - Tobacco 13.6 65.4 205.8 1.36 1.39 3.16
Horti – Arecanut 14.8 120.7 303.4 0.99 1.04 2.51
Silvi - Eucalyptus 12.9 104.5 303.1 1.15 1.20 2.90
Control 11.9 64.4 168.1 1.23 1.26 2.63
TABLE 11: POTASSIUM FIXATION CAPACITY OF SURFACE SOIL
SAMPLES UNDER DIFFERENT LAND USE SYSTEMS
LANDUSE SYSTEM BWD( mg/kg) AWD(mg/kg) K FIXED[Cmol (p+) kg-1] % K fixed
Agri - Rice 1155 1046 0.27 10.7
Agri - Tobacco 1138 984 0.39 15.4
Horti – Arecanut 1157 967 0.48 18.8
Silvi - Eucalyptus 1129 883 0.62 24.5
Control 1288 1063 0.57 22.4
Gurumurthy and Prakasha, 2011
Karnataka
22. TABLE 12: CORRELATION BETWEEN UPTAKE OF K AND DIFFERENT K
FORMS IN SOIL
Stage Forms of K
Water Soluble Exchangeable Hcl Soluble Non
Exchangeable
0-15 15-30 0-15 15-30 0-15 15-30 0-15 15-30
Stolonization 0.48 0.36 0.50 0.40 0.39 0.38 -0.10 0.21
Tuberisation 0.62* 0.74** 0.69** 0.54* 0.67*
*
0.59* -0.43 0.29
Harvest 0.56* 0.58* 0.90** 0.83** 0.79*
*
0.85** 0.64* -0.30
Subehia et al., 2003
Palampur, Himachal Pradesh
23. Correlation among different forms of soil Potassium
Soil
Properties
Forms of Potassium
Water
soluble
Exchangeable Available Non-
Exchangeable
Lattice Total
Sand 0.17 -0.176 -0.168 0.205 0.453* 0.436*
Silt -0.09 -0.028 -0.029 -0.306 -0.184 -0.200
Clay -0.164 0.249 0.240 -0.184 -0.447* -0.413*
pH -0.230 -0.098 -0.100 -0.249 -0.362* -0.375*
EC 0.411* 0.518** 0.514** 0.236 0.359 0.402*
Organic
Carbon
0.091 0.171 0.171 0.058 -0.017 0.002
Free CaCO3 -0.041 -0.211 -0.206 0.046 0.117 0.159
Kaskar et al., 2001
Dapoli, Maharashtra
24. TABLE 13: QUANTITY INTENSITY RELATIONSHIP IN
AVAILABILITY OF POTASSIUM
• Beckett (1964)
• The Theory is based on exchange reactions
between Ca, Mg, and K.
• The Q/I concept is used for predicting the
status of potassium in soils
• It is the quantity relationship between
exchangeable K (Q quantity) and the activity
of potassium in the soil solution (I intensity).
25. Fig 6: A typical Q/I relationship showing different parameters
in relation to potassium availability in soils.
• ∆K = Amount through which the soil
gains or losses potassium in bringing
equilibrium (Q, quantity factor).
• ARK = Activity ratio of potassium (I,
intensity factor).
• ARK
e = Activity ratio of potassium at
equilibrium
• ∆Kex = Exchangeable or labile pool of
potassium
• Ksp = Specific sites for potassium
• PBCK = Potential buffering capacity
26. TABLE 14: FORMS OF POTASSIUM IN KHAMMAM SOILS OF
ANDHRA PRADESH
VILLAGE TEXTURE WS K EX K NE K TOTAL K
Vasanthavada Sand 37.3 117.5 883 19680
Kunavaram Loamy Sand 35.4 148.8 608 13607
Narsapuram Sandy Loam 23.9 130.9 575 18421
N.P.Banjar Sandy Loam 44.2 276.6 1009 15755
Vaddigudem Clay Loam 11.3 135.3 378 8233
Velerupadu Silty Clay Loam 19.8 330.2 914 9234
Amaravaram Silty Clay Loam 18.2 259.1 676 10513
Kukunur Clay 15.8 358.9 1532 11883
Khammam Rao and Murthy, 2007
28. TABLE 16: EFFECT OF K RATES ON DIFFERENT K FRACTIONS
K LEVEL(Kg ha-1) WSK EX.K AV.K HNO3 K NEK
mg/Kg
0 11 40 52 430 378
25 16 59 75 487 412
50 17 61 79 509 430
75 20 68 89 498 409
100 21 74 95 518 423
CD(P=0.05) 5 8 8 20 14
TABLE 17: EFFECT OF K RATES ON Q/I PARAMETERS OF K
K LEVEL(Kg ha-1) KL K0 KX AreK(×10-3) PBC K[cmol(p+)kg-1] ×10-3
cmol(p+)kg-1
0 0.10 0.06 0.04 2.85 28.35
25 0.13 0.09 0.04 2.99 35.20
50 0.20 0.12 0.08 3.52 41.19
75 0.26 0.18 0.08 4.91 47.02
100 0.30 0.23 0.07 7.69 38.18
CD(p=0.05) 0.06 0.06 NS 1.31 NS
Bhubaneswar, Orissa Byju et al., 2002.
29. FIG 7: POTASSIUM RELEASING POWER OF DIFFERENT SOIL
TYPES IN PULSE GROWING REGIONS OF INDIA
Kanpur, Uttar
Pradesh
Rao et al., 2003
(Alfisol) (Vertisol)
(Inceptisol)
30. FIG 8: K RELEASE IN DIFFERENT TYPES OF SOILS
Kanpur, Uttar
Pradesh
Rao et al., 2003
31. • CONCENTRATION RATIO
OF POTASSIUM IN
SATURATION EXTRACT (
CRK
Se )
• BUFFERING CAPACITY (
BCK
Se )
• UNIFIED SOIL QUANTITY
INTENSITY CHARACTER
(USQI factor)
PARAMETERS DERIVED FROM K CONCENTRATION IN
SATURATION EXTRACT
CRK
Se = CK/(Ca+ Mg)0.5
BCK
Se = Kam/ CRK
Se
USQI Factor = Kam ×ρ CRK
Se
ρ= -ve log of CRK
Se
32. TABLE 18: PARAMETERS DERIVED FROM CONCENTRATION OF K IN SATURATION
EXTRACT AND 1N NH4OAC EXTRACTABLE K OF RANGA REDDY DISTRICT
S.No Village Composition of the
saturation extract
CRK
Se (me
l-1)
Kam in
me
100g-1
BCK
Se (me 100g-
1) /(me l-1)0.5
USQI Factor (me
100g-1)0.5*(me l-
1)0.5
K me l-1 Ca + Mg in me l-1
1 Chenvelli 0.24 7.6 0.086 0.48 5.62 0.741
2 Kathagadi 0.23 6.4 0.089 0.40 4.48 0.663
3 Masireddypalli 0.27 5.4 0.118 0.17 1.47 0.387
4 Muduchinthala
palli
1.41 13.8 0.378 1.14 3.02 0.451
5 Keesara 0.32 6.2 0.128 0.64 5.01 0.715
6 Bogaram 0.39 6.0 0.158 0.32 2.04 0.455
7 Manchal 0.38 22.2 0.081 0.32 3.99 0.620
8 Kongarakonal 0.40 9.2 0.133 0.58 4.35 0.666
9 Kocharam 0.56 22.0 0.119 0.42 3.50 0.597
10 Rajendranagar 0.26 7.0 0.100 0.36 3.56 0.567
Range 0.23-
1.41
5.4-22 0.081-
0.378
0.21-
1.14
1.47-12.36 0.387-1.104
Chaitanya, 2016
Rajendranagar
33. TABLE 19: ESTIMATION OF POTASSIUM IN SOILS THROUGH CHEMICAL
EXTRACTANTS
METHOD COMPOSITION OF EXTRACTANT SOIL:
EXTRACTA
NT RATIO
SHAKIN
G TIME
(MIN)
REFERENCE
Distilled water Distilled water 1: 10 60 Grewal and Kanwar (1966)
1 N NH4OAC 1 N Ammonium Acetate at pH (7.0) 1 : 5 5 Stanford and English (1949)
0.01 M CaCl2 0.01 M CaCl2 1: 10 120 Houba et al. (1990)
1 N HNO3 1 N HNO3 1 : 10 10 DeTurk. 1941
AB-DTPA 1 M NH4HCO3 + 0.005 M DTPA 1 : 2 15 Soltanpour and Schwab
(1977
0.03M NaBPh4 sodium tetraphenylboron 1 : 6 15 Scott et al. (1960)
1.38 N H2SO4 1.38 N H2SO4 1 : 10 15 (Hunter and Pratt, 1958)
34. TABLE 20: EXTRACTION OF DIFFERENT FORMS OF K (mg kg-1) USING
VARIOUS EXTRACTANTS IN SOILS OF RANGA REDDY DISTRICT
S.No Village Distilled water
extractable K
1N NH4OAc
extractable K
1.38N H2SO4
extractable K
0.03M Na BPh4
extractable K
Boiling 1HNO3
extractable K
1 Chenvelli 18 188 396 81 1100
2 Kathagadi 20 156 376 81 1000
3 Masireddypalli 45 68 356 82 850
4 Muduchinthalapal
li
56 446 500 82 2340
5 Keesara 25 250 412 81 1700
6 Bogaram 51 126 376 83 1210
7 Manchal 25 126 380 82 1140
8 Kongarakonal 57 226 416 82 1300
9 Kocharam 25 163 388 83 1690
10 Rajendranagar 24 139 396 81 1300
Range 18-57 68-446 356-500 81-85 850-2340
Chaitanya, 2016
Rajendranagar
39. TABLE 24: EFFECT OF DIFFERENT TREATMENTS ON AVAILABLE K
AFTER 36 CYCLES
TREATMENTS AVAILABLE K CHANGES
FROM
INITIAL
TOTAL K
ADDED
TOTAL K
UPTAKE
K BALANCE
50% NPK 247 -123 830 5113 -4283
100% NPK 269 -101 1660 6974 -5314
150% NPK 284 -86 2490 8284 -5794
100%NPK
+FYM
295 -75 5703 9134 -3431
CONTROL 202 -168 5113 1994 -1994
Jabalpur, Madhya Pradesh Sawarkar, 2013
Initial (1972) : 370 kg/ha
40. TABLE 26: DIFFERENT FORMS OF K (mg/kg) INFLUENCED BY
MANURES AND FERTILIZERS
TREATMENTS WSK EXK AVAIL.K NEK TOTAL K
CONTROL 4 45 49 241 6012
100 % N 5 45 50 299 6987
100 % NP 6 44 50 315 6026
50 % NPK 5.7 49.3 55 342 6375
100% NPK 6 56 62 337 6812
150 % NPK 8 61 69 339 6987
100 % NPK-S 6 55 61 298 6415
100% NPK + Zn 7 55 62 369 6638
100 % NPK + FYM 10 57 67 377 7262
CD (P=0.05) NS 7.2 9.2 108 905
INITIAL 10 48 58 355 6467
Pantnagar, Uttarakhand Singh et al., 2014
41. TABLE 25: K BALANCE AFFECTED BY 40 YEARS OF APPLICATION OF OM
AND FERTILIZERS
TREATMENT K ADDED (kg/ha) K
REMOVE
D(kg/ha)
K
BALANCE
(kg/ha)
K
BALANCE
(kg/ha/Yr)
FERT OM IW TOTAL
CONTROL 0 - 2000 2000 3911 -1911 -47.8
100 % N 0 - 2000 2000 6845 -4845 -121.1
100 % NP 0 - 2000 2000 7088 -5088 -127.2
50 % NPK 1460 - 2000 3460 6847 -3027 -75.7
100% NPK 2920 - 2000 4920 7171 -2251 -56.3
150 % NPK 4380 - 2000 6380 7354 -974 -24.4
100 % NPK-S 2920 - 2000 4920 7224 -2304 -57.6
100% NPK + Zn 2920 - 2000 4920 7645 -2725 -68.1
100 % NPK + FYM 2920 4800 2000 9720 8218 +1502 +37.6
Pantnagar, Uttarakhand Singh et al., 2014
IW Contains 5 mg K L-1. Hence, annual addition of K is 50 kg/ha/yr.
FERT – Fertilizer, OM – Organic Manure, IW – Irrigation Water.
45. CONCLUSIONS
• Recycling through crop residue management holds a great promise
in this respect as 80% of the K assimilated is contained in vegetative
parts
• Soils require judicious and frequent application of potash fertilizers
to prevent leaching losses for better crop production..
• There is a need to consider K fixing capacity of soils, soil texture, soil
type and other factors for giving potassium recommendation to
crops.
• Continuous cropping without manures and fertilizers devoid of K
results in imbalanced fertilization by reducing availability of K. So,
use of chemical fertilizers along with organic manures improves the
availability of K to plants which increases yields.