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Table 3 Rice productivity index and seasonal SPI and DTR relationship regression equations and statistics (R 2 and SE) in the three studied agroecosystems

From: Impacts of temperature and rainfall variation on rice productivity in major ecosystems of Bangladesh

Region Regression equation R 2 SE
Rice productivity index (RPI): aus
 Dry RPI = 17.012 + SPI i (0.8089) + DTR i (−17.2472) 0.14 5.521
 Terrace RPI = 14.775 + SPI i (−2.963) + DTR i (−20.508) 0.18 5.364
 Coastal RPI = 27.630 + SPI i (−8.532) + DTR i (−54.512) 0.19 4.697
Rice productivity index (RPI): aman
 Dry RPI = 12.921 + SPI i (−8.45) + DTR i (−23.088) 0.41* 3.760
 Terrace RPI = 10.03 + SPI i (−16.56) + DTR i (−46.136) 0.45* 5.087
 Coastal RPI = 21.178 + SPI i (−20.172) + DTR i (−34.498) 0.49* 4.643
Rice productivity index (RPI): boro
 Dry RPI = 10.22 + SPI i (−12.52) + DTR i (−6.894) 0.10 3.625
 Terrace RPI = 5.668 + SPI i (1.569) + DTR i (7.779) 0.16 2.311
 Coastal RPI = 13.603 + SPI i (−10.803) + DTR i (−7.139) 0.04 4.66
  1. * Significant at P < 0.05 level