Impact of projected climate on the yield of soybean variety JS-335 in North interior Karnataka

  • LAVANYA P Department of Agricultural Meteorology, College of Agriculture, Dharwad
  • R. H. PATIL Department of Agricultural Meteorology, College of Agriculture, Dharwad
  • K. G. SUMESH Department of Agricultural Meteorology, College of Agriculture, Dharwad
  • B. SANGSHETTY Agronomist, AICRP on Safflower, ARS, Annigeri, UAS, DharwadUniversity of Agricultural Sciences, Dharwad - 580 005, Karnataka, India
Keywords: Projected climate, Simulated yield, Soybean

Abstract

Soybean is one of the important oilseed crops of north interior Karnataka (NIK) grown under both rainfed andirrigated conditions. Climate change with rising temperature and erratic rainfall patterns is threatening the productivity ofthe crops. Hence, study was taken up to find the effect of projected climate for the period from 2020 to 2050 on theproductivity of soybean crop across NIK. Experimental data required to calibrate, validate and run the model were collectedfrom experiments conducted during 2006 and 2012 at AICRP-Soybean scheme MARS, UAS, Dharwad. CROPGRO modelwas used to run simulations under current (1988-2018) and projected climate (2020-2050) following recommended practicesof UAS, Dharwad for two predominant and representative black and red soils of each district of NIK. It was seen that yieldof soybean in NIK would improve by 2 per cent under projected climate on black soil and reduce by 6 per cent on red soilscompared to under current climate (1988-2018). The maximum yield improved under the projected climate (2020-2050)was on black soils observed in Koppal (85.5 %) district, followed by Vijayapura (29.4 %) and Bidar (18 %) districtswhereas, on red soils it was for Haveri (114 %), Belagavi (53.6 %) and Vijayapura (5.4 %) districts. The highest yieldreduction under the projected climate (2020-2050) on black soils was observed in Gadag (39.3 %) followed by Raichur(12.8 %) and Yadagiri (11.3 %) districts while on red soils it was in Gadag (55.4 %) followed by Koppal (23.9 %) andRaichur (10.3 %) districts.
Published
2022-06-30