Modeling the effects of elevation and precipitation on Rice (Oryza sativa L.) production considering multiple planting methods and cultivars in Central China

Sci Total Environ. 2022 Mar 20:813:152679. doi: 10.1016/j.scitotenv.2021.152679. Epub 2021 Dec 29.

Abstract

In this study, we investigated the effects of elevation and precipitation on rice (Oryza sativa L.) production using the Crop Environment Resource Synthesis (CERES)-Rice model in Hubei province, China. We divided our study area into four zones based on elevation and precipitation. For each zone, our simulations were conducted using three planting methods: dry direct-seeded rice (DDSR), wet direct-seeded rice (WDSR), and transplanted-flooded rice (TFR), with three rice cultivars of different growth duration: Yangliangyou6 (long-duration), Huanghuazhan (mid-duration), and Lvhan1 (short-duration). Additionally, the optimal irrigation strategy for WDSR was determined with the CERES-Rice model. Our results indicated that the yields of WDSR with the optimal irrigation strategy were comparable with those of TFR in low-elevation regions but were less than the TFR yields in high-elevation areas. Furthermore, the rice yields increased at first and then decreased with increasing elevation, which was affected by growing period length and photosynthesis rate. Compared with the other two cultivars, the short-duration cultivar may be more suitable for growing in high-elevation regions. In addition, high precipitation could facilitate the cultivation of the long-duration cultivar in low-elevation regions, as it gives DDSR a yield potential comparable to that of WDSR for the short-duration cultivar in high-elevation regions. This study could help farmers choose optimal field management practices based on elevation and precipitation, ensuring sustainable and improved rice production.

Keywords: CERES-Rice model; Direct-seeded rice; Elevation; Field management practices; Precipitation; Rice production.

MeSH terms

  • Agriculture / methods*
  • Altitude*
  • China
  • Models, Theoretical
  • Oryza* / growth & development
  • Rain*