摘要
基于冬小麦水分生理生态关系 ,综合考虑土壤水分有效性、作物不同生育阶段对干旱或渍水胁迫的敏感性、作物主要生理过程 (蒸腾、光合作用、干物质分配等 )对干旱胁迫的差异性、渍水持续天数等确定了支持作物生长模拟的干旱和渍水胁迫影响因子的算法。用独立于建模的盆栽小麦水分试验观测资料对干旱和渍水胁迫影响因子的算法进行了测试检验 。
Based on crop-water eco-physiological relations, water stress factor for crop growth simulation was quantified, which integrates the availability of soil moisture, the sensitivity of crop different development stages and different physiological processes (such as photosynthesis, transpiration, partitioning) to drought and waterlogging stress, and the effect of (waterlogging) duration. With data sets from the pot experiments validations on algorithms of drought and waterlogging stress factors indicated a good performance in reliability.
出处
《作物学报》
CAS
CSCD
北大核心
2004年第5期460-464,共5页
Acta Agronomica Sinica
基金
国家自然科学基金 ( 3 0 0 3 0 0 90 )
国家 863计划 ( 2 0 0 3AA2 0 90 3 0 )资助项目
