Abstract

A multiple nonlinear regression equation reflecting dependence of the crude gluten content in wheat grain (Y, %) on the protein content (X₁ = N_total × 5.7, %) and thousand kernel weight (X₂, g) : Y(1) = –41.928 + 0.081\(X_{1}^{2}\) + 2.548X₂ – 0.028\(X_{2}^{2}\) has been developed using regression analysis. For this equation, all grain quality indices correspond to the 12% moisture level. In the case when the protein content is determined for absolutely dry matter, the dependence is described by the following equation: Y(2) = –41.928 + 0.063\(X_{1}^{2}\) + 2.548X – 0.028\(X_{2}^{2}\). The developed equations can be used to forecast the crude gluten content in both winter and spring grain as well as soft and hard wheat varieties in all cases when the indices of its technological quality are determined by traditional analytical methods. The equations are also suitable for indirect verification of the accuracy of the crude gluten content determination if the content of protein and/or crude gluten is measured by different devices, such as InfraLUM FT-10 or FT-12, Spektra Star 2400, Infraneo, DA 7200 NIR analyzer, Inframatic 9200, and Infratec 1241.

中文翻译：

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测定小麦籽粒粗面筋含量的不同方法的比较评价

摘要

反映小麦籽粒粗面筋含量 ( Y , %) 对蛋白质含量 ( X ₁ = N _total × 5.7, %) 和千粒重 ( X ₂ , g )依赖关系的多元非线性回归方程: Y (1) = –41.928 + 0.081 \(X_{1}^{2}\) + 2.548 X ₂ – 0.028 \(X_{2}^{2}\)已使用回归分析得出。对于此等式，所有谷物质量指数对应于 12% 的水分含量。在确定绝对干物质的蛋白质含量的情况下，相关性由以下等式描述：Y (2) = –41.928 + 0.063\(X_{1}^{2}\) + 2.548 X – 0.028 \(X_{2}^{2}\)。当用传统分析方法确定技术质量指标时，所建立的方程可用于预测冬、春、软、硬小麦品种的粗面筋含量。如果蛋白质和/或粗面筋的含量由不同的设备测量，例如 InfraLUM FT-10 或 FT-12、Spektra Star 2400、Infraneo、 DA 7200 NIR 分析仪、Inframatic 9200 和 Infratec 1241。