Simulation of individual leaf areas in grain sorghum

Agronomie Pub Date : 2004-12-01 DOI:10.1051/AGRO:2004046
W. Rosenthal, R. Vanderlip
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引用次数: 11

Abstract

Most crop simulation models that incorporate environmental conditions estimate leaf area development. The grain sorghum growth simulation model, SORKAM, calculates individual leaf area based on leaf number and maturity class. The objective of this study was to generalize present leaf growth routines in SORKAM to be independent of maturity since there are no generally accepted maturing classes. Modified relationships between leaf number and leaf growth parameters were developed from existing studies and were tested against independent detailed leaf growth data sets. The revised relationships improved the r 2 between simulated and actual individual leaf areas from 0.80 to 0.88, reduced the bias from 32 cm2 to 9 cm 2 , and the RMSE from 80 cm 2 to 52 cm 2 . With the improved simulation, estimated leaf area index through the season was also improved from the original SORKAM estimate (RMSE decreased from 0.77 to 0.63; RMSE: root mean square error). Although simulation of individual leaf areas was improved, total leaf area produced over the season was not.
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高粱单叶面积的模拟
大多数作物模拟模型纳入环境条件估计叶面积的发展。高粱生长模拟模型SORKAM根据叶片数和成熟度等级计算单叶面积。本研究的目的是概括目前SORKAM的叶片生长规律与成熟度无关,因为没有普遍接受的成熟类别。叶片数与叶片生长参数之间的修正关系是在现有研究的基础上发展起来的,并在独立的详细叶片生长数据集上进行了测试。修正后的关系将模拟单叶面积与实际单叶面积之间的r2从0.80提高到0.88,将偏差从32 cm2降低到9 cm2, RMSE从80 cm2降低到52 cm2。经过改进的模拟,整个季节的叶面积指数估计值也比原来的SORKAM估计值有所提高(RMSE从0.77降低到0.63;RMSE:均方根误差)。虽然单个叶面积的模拟得到了改进,但整个季节产生的总叶面积却没有得到改善。
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