Modeling the dependence of the crop calendar for rain-fed rice on precipitation in Northeast Thailand

• Published in: Paddy and water environment Vol. 6; no. 1; pp. 83 - 90
• Main Authors: Sawano, Shinji, Hasegawa, Toshihiro, Goto, Shinkichi, Konghakote, Pisarn, Polthanee, Anan, Ishigooka, Yasushi, Kuwagata, Tsuneo, Toritani, Hitoshi
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer-Verlag 01-03-2008; Springer Nature B.V
• Subjects: Agricultural ecosystems; Agricultural production; Agriculture; Biomedical and Life Sciences; Cereal crops; Climate change; Climate effects; Crop production; Crop science; Crop yield; Ecotoxicology; Food supply; Geoecology/Natural Processes; Hydrogeology; Hydrology/Water Resources; Life Sciences; Planting date; Precipitation; Rice; Soil Science & Conservation; Thailand; Crop calendar; Model; Photoperiod sensitivity; Rain-fed lowland; L
• ISSN: 1611-2490; 1611-2504
• DOI: 10.1007/s10333-007-0102-x

Rain-fed lowlands are major agricultural ecosystems used for rice production in Northeast Thailand. Developing a tool to assess the effects of variable water conditions on the regional scale yield is also important to predict the effects of climate change on food supply. To estimate regional yields, we need a simple but accurate measure of the crop calendar (i.e., the distribution of planting dates), which has a strong influence on grain yield. In this article, we modeled the dependence of the crop calendar on rainfall patterns based on a survey of the region’s farmers as a part of an effort to provide a stronger basis for regional yield estimates. Our survey, conducted in 11 provinces for 2 years, confirmed the existence of large windows for sowing and transplanting versus narrow windows for heading and harvesting for rain-fed lowland rice culture in all the provinces. Variable water, soil, and toposequential conditions in the paddy fields were responsible for the large sowing and transplanting windows, whereas the use of photoperiod-sensitive varieties explained the narrow windows for heading and harvesting. The crop calendar was well expressed as a function of cumulative precipitation from June onward. When the crop calendar model was combined with a simple phenology-based model that uses growing degree-days adjusted by a day-length factor, we could estimate the rice crop calendar under rain-fed lowland conditions with acceptable accuracy. The model described in this article will be combined with a crop growth model to improve regional yield estimates for rain-fed lowland rice.