| Identification and comprehensive evaluation of seed physical and quality traits of 429 maize germplasms |
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| DOI：10.7606/j.issn.1000-7601.2024.05.03 |
| Key Words: maize germplasm resources physical properties quality traits comprehensive evaluation |
| Author Name | Affiliation | | GUO Yiyang | College of Agronomy, Henan University of Science and Technology, Luoyang, Henan 471023, China
Cereal Institute, Henan Academy of Agricultural Science, Zhengzhou, Henan 450002, China | | GUO Shulei | College of Agronomy, Henan University of Science and Technology, Luoyang, Henan 471023, China
Cereal Institute, Henan Academy of Agricultural Science, Zhengzhou, Henan 450002, China | | ZHANG Jun | Cereal Institute, Henan Academy of Agricultural Science, Zhengzhou, Henan 450002, China | | SHI Xifei | College of Agronomy, Henan University of Science and Technology, Luoyang, Henan 471023, China | | ZHAO Haijun | College of Agronomy, Henan University of Science and Technology, Luoyang, Henan 471023, China | | CHEN Sheng | College of Agronomy, Henan University of Science and Technology, Luoyang, Henan 471023, China | | HAN Zanping | College of Agronomy, Henan University of Science and Technology, Luoyang, Henan 471023, China |
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| Abstract: |
| The objective of this study was to scientifically evaluate the breeding application potential of maize inbred lines. Phenotypic values of 10 agronomic traits of 429 maize inbred lines were measured for correlation analysis, principal component analysis, cluster analysis and stepwise regression analysis. The comprehensive evaluation model for different maize inbred lines was established to screen the quality germplasm materials. The results showed that the coefficient of variation for the 10 agronomic traits ranged from 3.6% to 40.4%. Seed quality and starch content were negatively correlated with seed nutrient content. Principal component analysis simplified the ten agronomic traits into four principal components, showing the cumulative contribution rate of 79.8%. The first principal component was kernel size factor, the second principal component was nutrient factor, the third principal component was quality factor, and the fourth principal component was lysine content factor. 429 inbred lines were divided into five groups by cluster analysis. Group 1 (W284) exhibited the most prominent physical traits among the five groups and demonstrated exceptional performance in grain size. Group 3 had the characteristics of high oil content, high protein content and high lysine content. The top 50 maize inbred lines were clustered again and divided into five groups with different germplasm characteristics. The DY358F inbred line was obtained, which has a large genetic advantage in terms of quality and quantity. Six high\|quality maize germplasm with good quality and high productivity, namely PHV53, DK625F, HM2F, P267-4, Hong 2, and B1M-6-PMO/4CV-31-1, were discovered. Stepwise regression analysis identified grain area, 100-kernel weight, and volumetric weight as key indicators for the comprehensive evaluation of maize kernel quality. |
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