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首页> 外文期刊>Spanish Journal of Agricultural Research >Statistical models to describe the fruit growth pattern in sweet orange 'Valencia late'
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Statistical models to describe the fruit growth pattern in sweet orange 'Valencia late'

机译：描述甜橙“ Valencia late”果实生长模式的统计模型

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The objective of the present work was to find the statistical model that best describes the pattern of fruit growth of sweet orange "Valencia late" in the departments of Concepción (orchard 1) and General Paz (orchard 2), province of Corrientes, Argentina. In order to fit the growth curves, models of sigmoid type: Logistic, Gompertz, Weibull, Morgan Mercer Flodin, Richards, and reparameterizations of the Logistic and Gompertz models, were evaluated and compared. As criteria for selecting the model, measures of nonlinearity and estimates of residual variance for the different models and reparameterizations were compared. The model found to be most suitable to describe "Valencia late" orange fruit growth was the fifth parameterization of Logistic model: y = 1/alpha + exp(beta)gamma Ex. In this model, beta and gamma had similar values on all fruit sizes in orchard 1, but different values for fruit sizes in orchard 2; alpha values varied for both orchards between fruit sizes. For this reason, a family of curves will be necessary for different situations.
机译：本工作的目的是在阿根廷科伦蒂斯省的康塞普西翁（果园1）和帕斯将军（果园2）部门中找到最能描述甜橙“ Valencia late”果实生长模式的统计模型。为了拟合增长曲线，评估并比较了S型模型：Logistic，Gompertz，Weibull，Morgan Mercer Flodin，Richards，以及Logistic和Gompertz模型的重新参数化。作为选择模型的标准，比较了非线性测量和不同模型的残差估计值以及重新参数化。发现最适合描述“ Valencia late”橙色水果生长的模型是Logistic模型的第五个参数化：y = 1 / alpha +expβbetaγ。在此模型中，果园1中所有水果大小的β和γ值相似，但果园2中水果大小的值不同;两个果园的果实大小之间的alpha值不同。因此，在不同情况下需要一组曲线。

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