Browsing by Author "R. Balasubramanian"

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Assessment of climate change impact on different pigeonpea maturity groups in north Indian condition
(Association of Agrometeorologists, 2021) M.K. Yadav; C. Patel; R.S. Singh; K.K. Singh; R. Balasubramanian; R.K. Mall; M.K. Singh; S.M. Singh; S.K. Yadav
The CROPGRO-pigeonpea model embedded in DSSAT v4.7.5 was used to assess the impact of climate change on phenology and grain yield of reference genotype of different pigeonpea maturity groups. The impact of climate change delayed reproductive stages (anthesis, maturity) and decreased grain yield of reference genotype of different pigeonpea maturity groups were evident in all scenarios. Short duration genotypes (MN5, ICPL88039, Prabhat, UPAS120) showed progressively higher decrease in yield as compared to medium (Maruti, Asha, ICP7035) and long (Bahar, MAL13) duration genotypes with each successive increase in scenatio from RCP2.6 to RCP8.5 and projected year from 2010 to 2095. Anthesis was delayed 9 days in MN5 to 20 days in Bahar and maturity delayed 15 days in MN5 to 24 days in Bahar with RCP 8.5 in year 2095 in comparison to RCP2.6 in years 2010, whereas, grain yield was decreased 14% in Bahar to 66% in MN5 among genotypes of different maturity groups. © 2021, Association of Agrometeorologists. All rights reserved.
Rice (Oryza sativa L.) yield gap using the CERES-rice model of climate variability for different agroclimatic zones of India
(Indian Academy of Sciences, 2016) P.K. Singh; K.K. Singh; L.S. Rathore; A.K. Baxla; S.C. Bhan; Akhilesh Gupta; G.B. Gohain; R. Balasubramanian; R.S. Singh; R.K. Mall
The CERES (Crop Estimation through Resource and Environment Synthesis)-rice model incorporated in DSSAT version 4.5 was calibrated for genetic coefficients of rice cultivars by conducting field experiments during the kharif season at Jorhat, Kalyani, Ranchi and Bhagalpur, the results of which were used to estimate the gap in rice yield. The trend of potential yield was found to be positive and with a rate of change of 26, 36.9, 57.6 and 3.7 kg ha-1 year-1 at Jorhat, Kalyani, Ranchi and Bhagalpur districts respectively. Delayed sowing in these districts resulted in a decrease in rice yield to the tune of 35.3, 1.9, 48.6 and 17.1 kg ha-1 day-1 respectively. Finding reveals that DSSAT crop simulation model is an effective tool for decision support system. Estimation of yield gap based on the past crop data and subsequent adjustment of appropriate sowing window may help to obtain the potential yields.