Establishment of critical limits of indicators and indices of soil quality in rice-rice cropping systems under different soil orders

Biswas, Sunanda; Hazra, Gora Chand; Purakayastha, T. J.; Saha, Niharendu; Mitran, Tarik; Roy, S. S.; Basak, Nirmalendu; Mandal, Biswapati

doi:10.1016/j.geoderma.2017.01.003

Cited by 184 publications

(121 citation statements)

References 39 publications

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“…Multivariate statistical techniques such as principal component analysis (PCA), canonical discriminant analysis (CDA), cluster analysis (CA), partial least squares (PLS), principal component regression (PCR), ordinary least squares regression (OLS), and multiple linear regression analysis (MLRA) have been applied to assess soil quality (Parras-Alcántara and Lozano-García, 2014;Xu et al, 2016;Sione et al, 2017;Biswas et al, 2017;Renzi et al, 2017;Khaledian et al, 2017). These statistical techniques can assist researchers in selecting important soil quality indicators that are useful for developing an overall soil quality or degradation index for effective land resource management and planning (Khaledian et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…These statistical techniques can assist researchers in selecting important soil quality indicators that are useful for developing an overall soil quality or degradation index for effective land resource management and planning (Khaledian et al, 2017). Regardless of the techniques used, the selection of a minimum data set (MDS) of soil quality and degradation parameters has been widely supported in the literature (Biswas et al, 2017). For instance, Sione et al (2017) used a soil quality index (SQI) to evaluate the impact of rice production systems that use irrigation with groundwater on soil degradation on the field scale in Argentina.…”

Section: Introductionmentioning

confidence: 99%

“…Their results showed that the use of soil quality indicators can provide an early assessment of soil degradation processes and help land managers to implement soil conservation practices (Sione et al, 2017). In South Asia, Biswas et al (2017) combined PCA and multiple regression S. A. Adeniyi et al: Development of a composite soil degradation assessment index analysis to create MDSs of physical, chemical, and biological indicators, which were integrated to develop a unified SQI for rice-rice cropping systems.…”

Section: Introductionmentioning

confidence: 99%

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Development of a composite soil degradation assessment index for cocoa agroecosystems in southwestern Nigeria

2017

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Abstract. Cocoa agroecosystems are a major land-use type in the tropical rainforest belt of West Africa, reportedly associated with several ecological changes, including soil degradation. This study aims to develop a composite soil degradation assessment index (CSDI) for determining the degradation level of cocoa soils under smallholder agroecosystems of southwestern Nigeria. Plots where natural forests have been converted to cocoa agroecosystems of ages 1-10, 11-40, and 41-80 years, respectively representing young cocoa plantations (YCPs), mature cocoa plantations (MCPs), and senescent cocoa plantations (SCPs), were identified to represent the biological cycle of the cocoa tree. Soil samples were collected at a depth of 0 to 20 cm in each plot and analysed in terms of their physical, chemical, and biological properties. Factor analysis of soil data revealed four major interacting soil degradation processes: decline in soil nutrients, loss of soil organic matter, increase in soil acidity, and the breakdown of soil textural characteristics over time. These processes were represented by eight soil properties (extractable zinc, silt, soil organic matter (SOM), cation exchange capacity (CEC), available phosphorus, total porosity, pH, and clay content). These soil properties were subjected to forward stepwise discriminant analysis (STEPDA), and the result showed that four soil properties (extractable zinc, cation exchange capacity, SOM, and clay content) are the most useful in separating the studied soils into YCP, MCP, and SCP. In this way, we have sufficiently eliminated redundancy in the final selection of soil degradation indicators. Based on these four soil parameters, a CSDI was developed and used to classify selected cocoa soils into three different classes of degradation. The results revealed that 65 % of the selected cocoa farms are moderately degraded, while 18 % have a high degradation status. The numerical value of the CSDI as an objective index of soil degradation under cocoa agroecosystems was statistically validated. The results of this study reveal that soil management should promote activities that help to increase organic matter and reduce Zn deficiency over the cocoa growth cycle. Finally, the newly developed CSDI can provide an early warning of soil degradation processes and help farmers and extension officers to implement rehabilitation practices on degraded cocoa soils.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Development of a composite soil degradation assessment index for cocoa agroecosystems in southwestern Nigeria

2017

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“…The most practical way to enhance soil quality is to promote the better management of soil carbon and soil organic matter. Biswas et al, (2017) established critical limits for two soil orders i.e. entisol and alfisols collected from farmers' fields with long term rice-rice cropping system in sub-tropical India ( fig.2).…”

Section: Soil Organic Carbon Threshold In Relation To Crop Productivitymentioning

confidence: 99%

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

Pawar¹,

Kumawat²,

Verma³

et al. 2017

Int.J.Curr.Microbiol.App.Sci

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“…Fertilizers are the major source of nutrients for rice under intensive cultivation. The use of chemical fertilizers in rice cultivation potentially reduces soil fertility (Biswas et al, 2017). The use of P and K fertilizers in rice cultivation may in the long run lead to nutrient imbalance in the soil, resulting in lower rice productivity (Dong et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Influence of Cow Manure and Its Vermicomposting on the Improvement of Grain Yield and Quality of Rice (Oryza Sativa L.) in Field Conditions

Rahimabadi¹

2018

Appl. Ecol. Env. Res.

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Abstract.A field experiment was conducted to assess the impact of cow manure and its vermicompost on the improvement of rice grain yield and quality in Rasht, Iran in 2015 and 2016. The experimental factors were devoted to cow manure (0, 10 and 20 t ha -1 ) and vermicompost (0, 5 and 10 t ha -1). The results revealed that the application of cow manure and vermicompost increased leaf chlorophyll and grain yield components such as the number of fertile tillers and the number of grain, but, it decreased by 1000-grain weight. The highest grain yield was obtained from the application of 30 t ha -1 cow manure + 10 t ha ) and in the second year (3958 kg ha -1 ). In addition, the application of cow manure and vermicompost increased the grain's N, P and K content by 8-20%, 22-23% and 20-33%, but decreased the starch content by 3-7%. Although the combined application of various rates of cow manure and vermicompost improved plant growth and nutrient uptake, the influence of vermicompost on the grain yield and quality of gain was much stronger. In poor areas of the world that experience reduction in rice yield mainly due to lack of soil organic matter, and the farmers cannot buy vermicompost to improve soil fertility, we recommend the combined application of manure and vermicompost, which leads to increased grain qualitative traits and milling percentage, resulting in higher nutritional value of grains and higher grain yield.

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Establishment of critical limits of indicators and indices of soil quality in rice-rice cropping systems under different soil orders

Cited by 184 publications

References 39 publications

Development of a composite soil degradation assessment index for cocoa agroecosystems in southwestern Nigeria

Development of a composite soil degradation assessment index for cocoa agroecosystems in southwestern Nigeria

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

Influence of Cow Manure and Its Vermicomposting on the Improvement of Grain Yield and Quality of Rice (Oryza Sativa L.) in Field Conditions

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