Structural and Fractal Dimensions are Reliable Determinants of Grain Yield in Soybean

2006 Second International Symposium on Plant Growth Modeling and Applications Pub Date : 2006-11-13 DOI:10.1109/PMA.2006.19

A. Jaradat, D. Surek, D. Archer

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引用次数: 3

Abstract

Soybean [Glycin max (L.) Merr.] plants grown under five management strategies differed significantly in their geometric structures, and were classified with 75 to 100% correct classification, based on differences in their fractal dimension (Do), midday differential canopy temperature (dT), and canopy light penetration [Log(UIo)]. Single soybean plants grown under a conventional system using moldboard tillage developed complex geometric structures, with significantly larger Do (1.477) values and grain yield (11.2 g per plant) as compared to plants grown under an organic system with strip tillage (Do =1.358, and grain yield = 2.32 g per plant). Across management strategies, Do of single plants was a function of stem perimeter, circularity, and volume, and plant dry weight; whereas grain yield m was a function of Do, plant dry weight and volume, and stem circularity. Knowledge of how plants respond to single and multiple management strategies will help agronomists develop better predictive models and will help farmers refine management practices to optimize yield.

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结构维数和分形维数是大豆籽粒产量的可靠决定因素

大豆[Glycin max (L.)]稳定。5种管理策略下生长的植物在几何结构上存在显著差异，基于分形维数(Do)、正午冠层温差(dT)和冠层透光率[Log(UIo)]的差异，分类正确率为75% ~ 100%。常规模式下种植的单株大豆几何结构复杂，Do值(1.477)和籽粒产量(11.2 g /株)显著高于条带耕作有机系统(Do =1.358，籽粒产量= 2.32 g /株)。在不同的管理策略下，单个植株的Do是茎周长、圆度、体积和植株干重的函数;而籽粒产量m是Do、植株干重、干体积和茎圆度的函数。了解植物对单一和多种管理策略的反应将有助于农学家开发更好的预测模型，并将帮助农民改进管理实践以优化产量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2006 Second International Symposium on Plant Growth Modeling and Applications

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