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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： Gao, Yuqian 1 ; Li, Jianping 1 ; Ning, Ruiyao 1 ; Zheng, Yunxiao 1 ; Song, Weibin 3 ; Hou, Peng 4 ; Zhu, Liying 1 ; Jia, Xiaoyan 1 ; Zhao, Yongfeng 1 ; Song, Wei 2 ; Guo, Rui 2 ; Guo, Jinjie 1 ;

作者机构： 1.Hebei Agr Univ, Coll Agron, Hebei Sub Ctr Natl Maize Improvement Ctr China, State Key Lab North China Crop Improvement Regulat, Baoding 071000, Peoples R China

2.Hebei Acad Agr & Forestry Sci, Inst Cereal & Oil Crops, Key Lab Crop Genet & Breeding Hebei Prov, Shijiazhuang 050035, Peoples R China

3.China Agr Univ, Natl Maize Improvement Ctr, Dept Plant Genet & Breeding, State Key Lab Maize Biobreeding, Beijing 100193, Peoples R China

4.Chinese Acad Agr Sci, Minist Agr & Rural Affairs, Inst Crop Sci, Key Lab Crop Physiol & Ecol, Beijing 100193, Peoples R China

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

期刊名称：AGRONOMY-BASEL （ 影响因子：3.3； 五年影响因子：3.7 ）

ISSN：

年卷期： 2024 年 14 卷 7 期

页码：

收录情况： SCI

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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