A model driven by crop water use and nitrogen supply for simulating changes in the regional yield of rain-fed lowland rice in Northeast Thailand
A model driven by crop water use and nitrogen supply for simulating changes in the regional yield of rain-fed lowland rice in Northeast Thailand
复制标题
由作物用水和氮供应驱动的模型，用于模拟泰国东北部雨养低地稻的区域产量变化
DOI：
10.1007/s10333-007-0099-1
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发表时间：
2008
影响因子：
2.2
通讯作者：
J. Furuya
中科院分区：
文献类型：
--
作者：
T. Hasegawa;Shinji Sawano;Shinkichi Goto;Pisarn Konghakote;A. Polthanee;Y. Ishigooka;T. Kuwagata;H. Toritani;J. Furuya
气候变化将对雨养水稻生产生态系统，特别是生态系统的水文和水资源产生重大影响。在雨水灌溉的低地条件下，通常会观察到不同田间谷物产量的巨大差异，但缺乏一种可以解释田间规模产量变异性以产生区域规模产量估计值的方法，从而限制了我们在气候变化和水资源变化的情况下预测未来水稻产量的能力。在这项研究中，我们通过将简单作物模型与作物日历模型相结合，开发了一个模型来估算泰国东北部雨养低地水稻的区域产量。作物模型结合了两种重要资源（水和氮）对作物生长的影响。生物量积累由用水驱动，而氮供应决定冠层发育，从而限制作物用水。通过日历模型考虑到广泛的种植日期和水稻品种的强光周期敏感性特征是确定区域产量估算的重要组成部分。目前的模型没有考虑季中干旱或洪水的影响，但仍然能够解释过去 25 年省级产量的时空变化。因此，它可以用作模拟区域雨养低地水稻产量的原型。
Climate change will have significant impacts on the rain-fed rice production ecosystem, and particularly on the ecosystem’s hydrology and water resources. Under rain-fed lowland conditions, substantial variations among fields in grain yield are commonly observed, but a method that can account for field-scale yield variability to produce regional-scale yield estimates is lacking, thereby limiting our ability to predict future rice production under changing climate and variable water resources. In this study, we developed a model for estimating regional yields of rain-fed lowland rice in Northeast Thailand, by combining a simple crop model with a crop calendar model. The crop model incorporates the effects of two important resources (water and nitrogen) on crop growth. The biomass accumulation is driven by water use, whereas the nitrogen supply determines canopy development and thereby constrains crop water use. Accounting for the wide range of planting dates and the strong photoperiod-sensitive characteristics of rice varieties through the calendar model is an essential component in determining regional yield estimates. The present model does not account for the effects of mid-season drought or flooding, but was nonetheless able to explain the spatial and temporal yield variations at the province level for the past 25 years. Thus, it can be used as a prototype for simulating regional yields of rain-fed lowland rice.
泰国东北部移植和直播雨养低地水稻（Oryza sativa L.）谷物产量的基因型差异。
DOI：
--
发表时间：
2007
期刊：
Field Crops Res. 102
影响因子：
--
作者：
Hayashi;S.;Kamoshita;A.;Yamagishi;J.;Kotchasatit;A.;Jongdee;B.
通讯作者：
B.