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A phenological model for the soybean

机译:大豆的物候模型

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摘要

Predicting the time of soybean flowering is a critical step for crop management practices and for the development of crop models. The main objective of this study was to quantify the effect of the photoperiod and of temperature on the duration of the different phenological periods (flowering, first pod and physiological maturity), and to evaluate the response of a simple linear model for predicting phenological periods in Azul, centre of Buenos Aires, Argentina. It also used the methodology defined in the work of Summerfield et al. (Measurement and prediction of flowering in soybeans in fluctuating field environments. In: World Soybean Research Conference 4, 1989, Buenos Aires. Argentina Soybeans Association, 1989. pp. 82-87) which generates families of mathematical models with non-linear parameters and includes the study of linear models to obtain other models. Finally the sensitivity of the models to the variations produced by the experimental data was studied by applying the methodology used in Summerfield et al, Verdu and Villacampa (A computer program for a Monte Carlo analysis of sensitivity in equations of environmental modelling obtained from experimental data. Advances in Engineering Software. Vol. 33, N° 6. pp.351-359, 2002) and Verdu and Villacampa (A Computational algorithm for the multiple generation of nonlineal mathematical models and stability study. Advances in Engineering Software. In Press). This allowed the model to be selected according to the criteria.
机译:预测大豆开花的时间是作物管理实践和作物模型开发的关键步骤。这项研究的主要目的是量化光周期和温度对不同物候期(开花,初生荚果和生理成熟期)持续时间的影响,并评估简单线性模型预测物候期的响应。 Azul,阿根廷布宜诺斯艾利斯的中心。它还使用了Summerfield等人的工作中定义的方法。 (在波动的田间环境中对大豆开花的测量和预测。在:世界大豆研究大会1989年第4期,布宜诺斯艾利斯,阿根廷大豆协会,1989年。第82-87页),它生成具有非线性参数和包括研究线性模型以获得其他模型。最后,通过应用Summerfield等人,Verdu和Villacampa(用于从实验数据中获得的环境建模方程式中的蒙特卡罗分析敏感性的计算机程序)中使用的方法,研究了模型对实验数据产生的敏感性。工程软件进展,第33卷,第6期,第351-359页,2002年)以及Verdu和Villacampa(用于多代非线性数学模型和稳定性研究的计算算法。工程软件进展。印刷中)。这样就可以根据标准选择模型。

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