数字农科院2.0

Evaluation of Grain Moisture Content at Maturity and Screening for Identification Indexes of Maize Inbred Lines

文献类型： 外文期刊

作者： Yuqian Gao;Jianping Li;Ruiyao Ning;Yunxiao Zheng;Weibin Song;Peng Hou;Liying Zhu;Xiaoyan Jia;Yongfeng Zhao;Wei Song;Rui Guo;Jinjie Guo

作者机构：

关键词： cluster analysis;comprehensive evaluation;grain moisture content;maize;principal component analysis;stepwise regression

期刊名称： Agronomy

ISSN： 2073-4395

年卷期： 2024 年 14 卷 7 期

页码：

收录情况： SCIE（2024版）

摘要： The grain moisture content of maize inbred lines at maturity is one of the most important indicators for mechanical harvesting of kernels. In this study, 116 maize inbred lines from a wide range of sources were used as research materials and 30 traits of grain moisture content were analyzed using multivariate statistical analysis. The results showed that all 30 traits had some correlations. Principal component analysis downscaled the 30 traits into 10 principal component factors, reflecting 77.674% of the information in the original traits. Cluster analysis categorized the 116 inbred lines into 5 major groups containing 26, 29, 31, 16 and 14 inbred lines. Based on the D value of the overall evaluation, discriminant analysis reclassified the maize inbred lines by principal component scores and 98 maize inbred lines were correctly discriminated with a probability of 84.48%, which can be regarded as a relatively reliable clustering result. The stepwise regression method was further used to screen seven traits: GMC2, GDR1, HMC3, NH, GDR2, CD and EL and to establish a comprehensive evaluation model for the grain moisture content of maize inbred lines. Among 116 maize inbred lines, 14, represented by H21 and MS71, had the lowest grain moisture content at maturity.

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