Long-term organic nutrient managements foster the biological properties and carbon sequestering capability of a wetland rice soil

Preethi, B. Antrose; Poorniammal, R.; Balachandar, D.; Karthikeyan, Subburamu; Chendrayan, K.; Bhattacharyya, Pratap; Adhya, T. K.

doi:10.1080/03650340.2012.755260

Cited by 26 publications

(16 citation statements)

References 59 publications

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“…computed using these six biological indicators. Based on the literature and our previous works (Balachandar et al, 2016;Chinnadurai et al, 2013;Chinnadurai et al, 2014;Preethi et al, 2012;Tamilselvi et al, 2015), it is obvious that these biological variables were significantly altered by the nutrient management adoptions. All these bio-indicators were reported highest in OM and INM, whereas the IC and control recorded on par values or sometimes IC was higher than control.…”

Section: Discussionmentioning

confidence: 94%

“…With this background, we have used six important biological attributes of the soil, selected based on our previous works (Balachandar et al, 2016;Chinnadurai et al, 2013;Chinnadurai et al, 2014;Tamilselvi et al, 2015;Preethi et al, 2012) such as soil organic carbon, microbial biomass carbon, labile carbon, protein index, dehydrogenase activity and substrate-induced respiration as soil biological quality indicators. The https://doi.org/10.5194/soil-2019-60 Preprint.…”

Section: Introductionmentioning

confidence: 99%

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Development of soil biological quality index for soils of semi-arid tropics

Aravindh¹,

Chinnadurai²,

Balachandar³

2019

Preprint

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Abstract. The Agricultural intensification, an inevitable process to feed the ever-increasing population, affects the soil quality due to management-induced changes. To measure the soil quality in terms of the soil functioning, several attempts were made to develop the soil quality index (SQI) based on a set of soil attributes. However, there is no universal consensus protocol available for SQI and the role of soil biological indicators in SQI is meagre. Therefore, the objective of the present work is to develop a unitless soil biological quality index (SBQI) scaled between 0 and 10, which would be a major component of SQI in future. The long-term organic manure amended (OM), integrated nutrient management enforced (INM), synthetic fertilizer applied (IC) and unfertilized control (Control) soils from three different predominant soil types with three different cropping patterns of the location (Tamil Nadu state, India) were chosen for this. The soil organic carbon, microbial biomass carbon, labile carbon, protein index, dehydrogenase activity and substrate-induced respiration were used to estimate the SBQI. Five different SBQI methods viz., simple additive (SBQI-1 and SBQI-2), scoring function (SBQI-3), principal component analysis-based statistical modeling (SBQI-4) and quadrant-plot based method (SBQI-5) were developed to estimate the biological quality as unitless scale. All the five methods have same resolution to discriminate the soils and INM ≈ OM > IC > Control is the relative trend being followed in all the soil types based on the SBQIs. All the five methods were further validated for their efficiency in 25 farmers' soils of the location and proved that these methods can be effectively used to scale the biological health of the soil. Among the five SBQIs, we recommend SBQI-5, which relates the variables to each other to scale the biological health of the soil.

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Section: Discussionmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Development of soil biological quality index for soils of semi-arid tropics

Aravindh¹,

Chinnadurai²,

Balachandar³

2019

Preprint

View full text Add to dashboard Cite

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“…We measured these six variables from four long-term nutrient management adopted soils (control, inorganic fertilizer-applied, organic manure amended, and integrated nutrient management adopted). Based on the literature and our previous works, the continuous use of organic and inorganic nutrient amendments could significantly alter the above mentioned biological attributes and largely SOC (Preethi et al, 2012;Chinnadurai et al, 2013;Balachandar et al, 2014;Chinnadurai et al, 2014;Tamilselvi et al, 2015;Balachandar et al, 2016). All these biological attributes were reported highest in INM and OM, whereas the IC and control recorded on par values or sometimes IC was higher than control.…”

Section: Soil Biological Attributes and Soil Biological Quality Indexmentioning

confidence: 89%

Correlation between Carbon dioxide Evolution and Biological Quality Index of Long-term Nutrient Management Adopted Soils

Priya¹,

Malarkodi²,

Karthikeyan³

et al. 2020

Madras Agricultural Journal

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Soil respiration in terms of carbon dioxide (CO 2) evolution is a potential biological indicator to assess the soil quality as influenced by different agricultural practices. However, the relation between the CO 2 evolution and the biological attributes of soil is a multitude and hence less resolved. The purpose of the study is to relate the measured CO 2 values with the biological quality indicators of the soil. Four long-term nutrient management treatments (organic manure amended, OM, integrated nutrient management enforced, INM, synthetic fertilizer applied, IC, and unfertilized control, Control) from 100-years old permanent manurial experiment was used for this study. The soils were analyzed for soil organic carbon, microbial biomass carbon, labile carbon, protein index, dehydrogenase activity, and substrate-induced respiration and calculated the soil biological quality index (SBQI) by quadrantplot method. All the soils were measured for the flush of CO 2 immediately after wetting the dry soil by three methods viz., alkali trap method, infra-red probe-based flux apparatus, and multi-gas analyzer. The results revealed that INM had a positive influence to improve all the six biological attributes followed by OM, while the IC and Control had at par levels of all the assessed variables. The SBQI also has high resolution to discriminate against the soils and INM > OM > IC ≈ Control is the order being observed. The CO 2 evolved from these four soils had a strong positive correlation with all the assessed biological health indicators. The regression analysis revealed that SBQI had a significant positive relation with alkali trap CO 2 (R 2 0.82), flux CO 2 (R 2 0.75), and multi-gas analyzer CO 2 (R 2 0.79). The present results suggest that analyzing CO 2 evolution could be a simple method to relate the overall biological quality of the soil. Hence, developing a simple tool to measure the soil CO 2 evolution could help the farmers to know the biological quality of the soil .

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“…However, the soil quality index should link the scientific knowledge and agricultural and land management practices to assess sustainability (Romig et al, 1995). Most of the SQIs place more importance on the physical (soil aggregation, water retention) and chemical indicators (carbon dynamics and nutrient-carrying capacity), with less importance given to biological attributes (microbial biomass carbon, arthropods) (Biswas et al, 2017;Calero et al, 2018;Menta et al, 2018;Pulido et al, 2017;Schmidt et al, 2018). To emphasize the biological and biochemical attributes in soil quality, the biological quality of soil (BSQ) was first proposed by Parisi (2001), which was used to measure the bioindicators of soil, especially the arthropods of soil.…”

Section: Introductionmentioning

confidence: 99%

Development of a soil biological quality index for soils of semi-arid tropics

Aravindh

Chinnadurai

Balachandar

2020

SOIL

Self Cite

View full text Add to dashboard Cite

Abstract. Agricultural intensification, an inevitable process to feed the ever-increasing population, affects soil quality due to management-induced changes. To measure the soil quality in terms of soil functioning, several attempts were made to develop a soil quality index (SQI) based on a set of soil attributes. However, there is no universal consensus protocol available for SQI, and the role of soil biological indicators in SQI is meagre. Therefore, the present work aims to develop a unitless soil biological quality index (SBQI) scaled between 0 and 10, which would be a major component of SQI in the future. The long-term organic manure amended (OM), integrated nutrient management enforced (INM), synthetic fertilizer applied (IC), and unfertilized control (control) soils from three different predominant soil types of the location (Tamil Nadu state, India) were chosen for this. The soil organic carbon, microbial biomass carbon, labile carbon, protein index, dehydrogenase activity, and substrate-induced respiration were used to estimate the SBQI. Five different SBQI methods, viz. simple additive (SBQI1 and SBQI2), scoring function (SBQI3), principal component analysis-based statistical modelling (SBQI4), and quadrant-plot-based method (SBQI5), were developed to estimate the biological quality as a unitless scale. All five methods have the same resolution to discriminate the soils and INM ≈ OM > IC > control is the relative trend being followed in all the soil types based on the SBQIs. All five methods were further validated for their efficiency in 25 farmers' soils of the location and proved that these methods can scale the biological health of the soil. Among the five SBQIs, we recommend SBQI5, which relates the variables to each other to scale the biological health of the soil.

show abstract

Long-term organic nutrient managements foster the biological properties and carbon sequestering capability of a wetland rice soil

Cited by 26 publications

References 59 publications

Development of soil biological quality index for soils of semi-arid tropics

Development of soil biological quality index for soils of semi-arid tropics

Correlation between Carbon dioxide Evolution and Biological Quality Index of Long-term Nutrient Management Adopted Soils

Development of a soil biological quality index for soils of semi-arid tropics

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