Threshold Limits of Soil in Relation to Various Soil Functions and Crop Productivity

Pawar, Atul Bhagawan; Kumawat, Chiranjeev; Verma, Anil Kumar; Meena, Ravi Kumar; Raza, Md Basit; Anil, Ajin S.; Trivedi, V.K.

doi:10.20546/ijcmas.2017.605.256

Cited by 7 publications

(3 citation statements)

References 19 publications

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“…The average Walkley-Black soil organic content was 0.71% (0.1-1.97%). By and large, the soil samples were low in organic carbon, which could be attributed to the high temperature in the region leading to the faster oxidation of organic matter [44,45]. Most of the area (56.5% of the soil samples) was found to be low in available N content, and the rest had medium levels of available N (43.5% samples).…”

Section: Physico-chemical Properties Of Soilmentioning

confidence: 99%

Combining Fuzzy, Multicriteria and Mapping Techniques to Assess Soil Fertility for Agricultural Development: A Case Study of Firozabad District, Uttar Pradesh, India

Saraswat

Ram

AbdelRahman

et al. 2023

Land

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Soil fertility (SF) assessment is an important strategy for identifying agriculturally productive lands, particularly in areas that are vulnerable to climate change. This research focuses on detecting SF zones in Firozabad district, Uttar Pradesh, India, for agricultural purposes, so that they can be prioritized for future management using the fuzzy technique in the Arc GIS model-builder. The model computing technique was also deployed to determine the different fertility zones, considering 17 soil parameters. The derived fuzzy technique outperformed the traditional method of dividing the sampling sites into clusters to correlate soil fertility classes with the studied soil samples. The prioritization of the soil factors and a spatial analysis of the fertility areas were carried out using the Analytic Hierarchy Process (AHP) and GIS tools, respectively. The AHP analysis outcome indicated that hydraulic properties had the highest weighted value, followed by physical and chemical properties, regarding their influence on SF. The spatial distribution map of physico-chemical properties also clearly depicts the standard classification. A fuzzy priority map was implemented based on all the classes parameters to identify the five fertility classes of the soil, namely very high (0.05%); high (16.59%); medium (60.94%); low (22.34%); and very low (0.07% of total area). This study will be of significant value to planners and policymakers in the future planning and development of activities and schemes that aim to solve similar problems across the country.

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Section: Physico-chemical Properties Of Soilmentioning

confidence: 99%

Combining Fuzzy, Multicriteria and Mapping Techniques to Assess Soil Fertility for Agricultural Development: A Case Study of Firozabad District, Uttar Pradesh, India

Saraswat

Ram

AbdelRahman

et al. 2023

Land

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“…This is possibly due to the following reasons: a) the regions already have higher SOC (1.1-1.5) than other regions, and agroforestry systems improve SOC further (1.3-1.8), and it improves soil structure and water-holding properties, improving crop yield (Oldfield et al, 2019). b) Additionally, an increase in SOC could improve microbial activity, indicated by a rise in various enzymatic activities within a range of 1.52-1.82 SOC, could reflect more benefits in productivity (Pawar et al, 2017). Experiments show encouraging results regarding the positive impact of SOC on crop yields and agronomic productivity (Lal, 2006).…”

Section: Agroforestrymentioning

confidence: 99%

Climate change impacts and adaptation strategies: An assessment on sorghum for Burkina Faso

Arumugam

Chemura

Aschenbrenner

et al. 2023

European Journal of Agronomy

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“…Around 47% of the samples in the summer dataset and 45% in the winter dataset had SOC ranging from 0.16% to 0.25%. SOC values less than 2% indicate that the soil is of poor-quality in terms of its structural stability 35 . In agricultural criterion too, the soils having less than 2% SOC value are widely considered to be the ones that have more chances to get deteriorated in terms of productivity and yield 36 .…”

Section: Predictions and Residualsmentioning

confidence: 99%

SOC stocks prediction on the basis of spatial and temporal variation in soil properties by using partial least square regression

Usman

Begum

2023

Sci Rep

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Global warming is a wide-scale problem and soil carbon sequestration is its local scale, natural solution. Role of soil as carbon sink has been researched extensively but the knowledge regarding the role of soil variables in predicting soil carbon uptake and its retention is scarce. The current study predicts SOC stocks in the topsoil of Islamabad-Rawalpindi region keeping the soil properties as explanatory variables and applying the partial least square regression model on two different seasons’ datasets. Samples collected from the twin cities of Islamabad and Rawalpindi were tested for soil color, texture, moisture-content, SOM, bulk density, soil pH, EC, SOC, sulphates, nitrates, phosphates, fluorides, calcium, magnesium, sodium, potassium, and heavy metals (nickel, chromium, cadmium, copper and manganese) by applying standard protocols. Afterwards, PLSR was applied to predict the SOC-stocks. Although, current SOC stocks, ranged from 2.4 to 42.5 Mg/hectare, but the outcomes of PLSR projected that if soil variables remain unaltered, the SOC stocks would be likely to get concentrated around 10 Mg/hectare in the region. The study also identified variable importance for both seasons’ datasets so that noisy variables in the datasets could be ruled out in future researches and precise and accurate estimations could be made.

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Threshold Limits of Soil in Relation to Various Soil Functions and Crop Productivity

Cited by 7 publications

References 19 publications

Combining Fuzzy, Multicriteria and Mapping Techniques to Assess Soil Fertility for Agricultural Development: A Case Study of Firozabad District, Uttar Pradesh, India

Combining Fuzzy, Multicriteria and Mapping Techniques to Assess Soil Fertility for Agricultural Development: A Case Study of Firozabad District, Uttar Pradesh, India

Climate change impacts and adaptation strategies: An assessment on sorghum for Burkina Faso

SOC stocks prediction on the basis of spatial and temporal variation in soil properties by using partial least square regression

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