Simulating change in soil organic carbon in two long term fertilizer experiments in India: with the Roth<i>C</i>model

Bhattacharyya, T.; Pal, Dilip Kumar; Ray, S.K.; Chandran, P.; Mandal̀, C.; Telpande, B.; Deshmukh, A.S.; Tiwary, P.

doi:10.5958/j.2320-642x.1.2.010

Cited by 12 publications

(13 citation statements)

References 19 publications

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“…However, these PTFs are useful to assess bulk density (Figure 8 b). Earlier through soil data derived from regular soil survey activities and also using RothC model a threshold limit of 850 mm mean annual rainfall was arrived at to show the initiation of the formation of pedogenic carbonates 26,27,35 ( Figure 9). If the data for 1980 are ignored, the water retention at 33 and 1500 kPa was reduced over years ( Figure 8 c, d).…”

Section: Physical Properties Of Soilsmentioning

confidence: 99%

“…Use of pedotransfer functions helps in this regard as has already been demonstrated while developing soil information system for the Indo-Gangetic plains and the black soil regions of India 34 . Such exercise not only helps monitoring soil parameters, but also permits the trend of changes in the dynamic properties of soils through appropriate data interpretation 36 , soil carbon and crop modelling 35,37,38 . We made an effort to understand the nature of the SAT soils as it would exist in years to come.…”

Section: Soils For Tomorrowmentioning

confidence: 99%

“…We made an effort to understand the nature of the SAT soils as it would exist in years to come. Judging by the rate of changes in chemical and physical soil parameters (Table 9) and also on the basis of available trend of data in the semi-arid tropics 27,35,[37][38][39] , we attempted to project changes in soil properties in case the present land use and management interventions are continued (business as usual, BAU) and also, if appropriate, management interventions are adopted 40 ( Figure 10). It is quite likely that soil organic C level in black soils will further decrease until management interventions are CURRENT SCIENCE, VOL.…”

Section: Soils For Tomorrowmentioning

confidence: 99%

“…not adopted to add mineral fertilizers and organic matter on a continuing basis (Figures 10 a). Modelling and results from the long-term experiments predict that soil organic carbon can be increased if recommended dose of fertilizers (RDFs) along with farm yard manure (FYM) (10 t ha -1 ) are applied 35,37,38,41 . For Patancheru soils, BAU indicates an increase of SOC as the site is pristine.…”

Section: Soils For Tomorrowmentioning

confidence: 99%

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ICRISAT, India Soils:Yesterday, Today and Tomorrow

Bhattacharyya

Wani²,

Pal

et al. 2016

Current Science

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Associated red and black soils are common in the Deccan plateau and the Indian peninsula. The red soils are formed due to the progressive landscape reduction process and black soils due to the aggradation processes; and they are often spatially associated maintaining their typical characteristics over the years. These soils are subject to changes due to age-long management practices and the other factors like climate change. To maintain soil quality, it is essential to monitor changes in soil properties preferably using benchmark (BM) soil sites. One such example lies at the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) farm in Patancheru, India where red (Patancheru) and black (Kasireddipalli) soils co-exist in close association under almost similar topographical condition, which also represents very commonly occurring spatially associated soils. The database generated over the years for these two dominant soils that are under cultural practices for the last 2-3 decades, helps us understand the relative changes in properties over a time scale. To do this exercise, we revisited the BM spots as the data on the original characterization of these soils since the development of the farm, are available, for comparative evaluation. We also attempted to make prediction of future changes in properties for these two important and representative black and red soils of the ICRISAT farm in Patancheru, India.

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Section: Physical Properties Of Soilsmentioning

confidence: 99%

Section: Soils For Tomorrowmentioning

confidence: 99%

Section: Soils For Tomorrowmentioning

confidence: 99%

Section: Soils For Tomorrowmentioning

confidence: 99%

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ICRISAT, India Soils:Yesterday, Today and Tomorrow

Bhattacharyya

Wani²,

Pal

et al. 2016

Current Science

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“…The distribution pattern of the area with suitable Organic Carbon percentage is shown by Figure 05. The suitable Organic Carbon range for the paddy is more than 0.6% (Bhattacharyya et al 2013). Many areas of the Kamburupitiya DS Division are contained more than 0.6% organic carbon.…”

Section: Distribution Of Soil Phmentioning

confidence: 99%

Application of geographic information system (GIS) for site specific management of paddy production systems - a case study in Kamburupitiya divisional secretariat (DS), Sri Lanka

Kahandage

Rupasinghe

Gunasena

2016

Trop Agric Res & Ext

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Geographic Information System (GIS) has been known as a powerful tool to analyze spatial data and this technology is recently applied to agricultural sector in Sri Lanka. This study aimed to apply the GIS technology to manage information in efficient way to develop the paddy sector under Kamburupitiya Divisional Secretariat (DS), Sri Lanka. An extensive field survey was conducted to collect 77 soil samples at a depth of 5-20 cm and GPS locations were recorded for each sample. The information related to Machineries used in Paddy production was collected by a survey using a questionnaire. Yield data were collected from Agrarian Services Centers. The pH meter, Walkley & Black rapid titration method and Kjeldhal method were used to determine soil pH, organic carbon and soil nitrogen content respectively. ArcView GIS 3.3 software was used for the spatial analysis and mapping. Results of the study revealed that land areas with suitable pH and soil organic carbon are 3936.96ha and 791.99ha respectively. Soil Nitrogen content was very low. The yield per unit area vary from 1,111.3 to 4,769kg/ha/year. There are considerable usages of machineries for rice cultivation including two wheel tractors, four wheel tractors, threshers, harvesters and sprayers.

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