Abstract

The paper reports a study conducted with the goal of expanding the possibilities of using the previously obtained multiple nonlinear regression equation describing the dependence of protein content in wheat grain (Y, %) on the amount of crude gluten (X₁, %) and 1000-grain weight (X₂, g). It has been demonstrated that the original and three improved equations can be used in breeding practice to predict wheat grain protein content. The algorithm and the results of testing the predictive ability and prediction accuracy of the equations using independent data were presented. Analysis of the experimental data from 288 Russian and foreign publications, with a total number of observations n = 4604, obtained for more than 300 winter and spring soft and durum wheats in Russia and abroad (Albania, Belarus, Bulgaria, Egypt, Kazakhstan, Lithuania, Poland, Slovakia, and Ukraine) within the period from 1959 to 2020 showed that 755 observations, or 16.4%, fell beyond the variation limits accepted by GOST 10846-91: Method of Protein Determination. At the same time, the accuracy of protein content prediction reached 83.6%. The developed equations can be used for predicting protein content in almost all cases when the results of protein and crude gluten content analysis in wheat grain, as well as 1000-grain weight, are provided for actual or fixed moisture content or are recalculated for absolute dry matter.

中文翻译：

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改进小麦籽粒中蛋白质含量的预测

摘要

该论文报道了一项研究，其目的是扩大使用先前获得的多元非线性回归方程的可能性，该方程描述了小麦籽粒中蛋白质含量 ( Y , %) 对粗面筋量 ( X ₁ , %) 和 1000 的依赖性-粒重（X ₂，g）。事实证明，原始方程和三个改进方程可用于育种实践中预测小麦籽粒蛋白质含量。给出了算法以及使用独立数据测试方程的预测能力和预测精度的结果。对俄罗斯和国外 288 份出版物的实验数据进行分析，观察总数n = 4604，获得俄罗斯和国外（阿尔巴尼亚、白俄罗斯、保加利亚、埃及、哈萨克斯坦、立陶宛）300 多种冬春软小麦和硬粒小麦的实验数据、波兰、斯洛伐克和乌克兰）在 1959 年至 2020 年期间显示，755 个观测值（即 16.4%）超出了 GOST 10846-91：蛋白质测定方法所接受的变异限制。同时，蛋白质含量预测准确率达到83.6%。当小麦籽粒中蛋白质和粗面筋含量分析结果以及 1000 粒重量提供实际或固定水分含量或重新计算绝对干度时，所开发的方程可用于预测几乎所有情况下的蛋白质含量。事情。