Modeling leaf area development in soybean (Glycine max L.) based on the branch growth and leaf elongation.
Modeling leaf area development in soybean (Glycine max L.) based on the branch growth and leaf elongation.
复制标题
基于枝条生长和叶片伸长对大豆 (Glycine max L.) 叶面积发育进行建模。
DOI：
10.1080/1343943x.2019.1702468
复制
发表时间：
2020
影响因子：
2.5
通讯作者：
T.
中科院分区：
文献类型：
--
作者：
Nakano;S.;Purcell;L. C.;Homma;K.;Shiraiwa;T.
已经提出了几种模型来模拟大豆（Glycine maxL.）的叶面积指数（LAI）;然而，这些模型没有直接说明分支生长的影响。由于分枝和分支节的生长量随种植密度的不同而不同，因此评价分支的生长量对于LAI模型在不同种植密度下的应用是必要的。在本研究中，我们建立了一个大豆叶面积指数模型，考虑了分支生长和叶伸长在每个节点。为了简化模型，我们根据主茎节增长率估计了分支和分支节增长率。当冠层辐射截留率增加时，分支生长被认为是受到限制的。此外，我们计算了叶面积生长在每个节点的基础上在每个小叶的叶伸长。利用不同年份和不同种植密度的数据对模型进行了验证，其估算叶面积指数的均方根误差为0.76，可解释数据变异的92%。虽然需要进一步的评估，在这项研究中提出的LAI模型揭示了高潜力的准确估计叶面积指数在不同的植物密度。
Several models have been proposed to simulate the leaf area index (LAI) in soybean (Glycine maxL.); however, these models do not directly account for the effect of branch growth. Because the increases in branches and branch node vary with plant density, the evaluation of branch growth is necessary for the application of the LAI model at various plant densities. In this study, we developed an LAI model for soybean, considering the branch growth and leaf elongation at each node. To simplify this model, we estimated the rate of branch and branch node increase based on the rate of main stem node increase. Branch growth was assumed to be restricted when the fraction of canopy radiation interception was increased. Moreover, we calculated the leaf area growth at each node based on leaf elongation at each leaflet. This LAI model was validated using the data of different years and plant densities for model calibration, and it estimated the LAI with a root mean square error of 0.76, which accounted for 92% of the variation in the data. Although further evaluation is needed, the LAI model proposed in this study reveals a high potential for accurate estimation of LAI at various plant densities.