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A phenological model for the soybean

机译:大豆的候选模型

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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发展作物模型的关键步骤。本研究的主要目的是量化光周期和温度对不同酚类时期的持续时间(开花,第一豆荚和生理成熟度)的影响,并评估简单的线性模型预测毒性时期的响应Azul,布宜诺斯艾利斯,阿根廷中心。它还使用了Summerfield等人的工作中定义的方法。 (波动现场环境中大豆开花的测量和预测。:World Soybean研究会议4,1989,布宜诺斯艾利斯。阿根廷大豆协会,1989年,第82-87页),具有非线性参数的数学模型的家庭和包括对线性模型的研究获得其他模型。最后,通过应用Summerfield等,Villacampa(一台计算机程序的Monte Carlo Issitive Issitiving的敏感性的敏感性的敏感性的敏感性的计算机程序,研究了模型对由实验数据产生的变化进行了敏感性。工程软件进步。VOL。33,N°6.PP.351-359,2002)和Verdu和Villacampa(一种用于多代非线性数学模型和稳定性研究的计算算法。工程软件的进步。这允许根据标准选择模型。

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