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 |