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Simulation of potential production and studies on optimum population quantitative indices in the second hybrid rice

机译:第二代杂交水稻潜在产量的模拟及最佳种群数量指标的研究

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The HDRICE model presented in the paper consisted of the modules of morphological development of rice, daily dry matter accumulation and partitioning, daily CO_2 assimilation of the canopy, leaf area and tiller development. Because of thoroughly integrating the effects of temperature and light on the rates of rice development, photosynthesis, respiration and other ecophysiological processes, the model could simulate the dynamic rice development and attainable grain yield. Besides, the model was used to optimize the combinations of the transplanting date, seedlling age and density for cultivar Xieyou 46 at Jinhua area. The rice population quantitative indices needed to achieve the potential production. such as effective panicles, leaf area index and ratio of the spikelet number or filled grains to leaf area could be also obtained by the model.
机译:本文提出的HDRICE模型由水稻的形态发育,每日干物质的积累和分配,冠层的CO_2同化,叶面积和分er发育等模块组成。由于将温度和光照对水稻发育,光合作用,呼吸作用和其他生态生理过程的影响进行了全面整合,该模型可以模拟水稻的动态发育和可达到的谷物产量。此外,利用该模型对金华地区协优46的移栽期,播种期和密度进行了优化。水稻种群数量指标需要实现潜在产量。该模型还可以得到有效穗数,叶面积指数,小穗数或实粒与叶面积之比等信息。

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