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Correlation and combining ability analysis of physiological traits and some agronomic traits in maize

文献类型： 外文期刊

作者： Cai, Qingsheng 1 ; Yu, Lijuan 2 ; Yao, Wenhua 2 ; Zhang, Yudong 2 ; Wang, Lulu 1 ; Chen, Xiuhua 2 ; Deng, Junxia 1 ; Kang 1 ;

作者机构： 1.Nanjing Agr Univ, Nanjing 210095, Jiangsu, Peoples R China

2.Yunnan Acad Agr Sci, Inst Food Crops, Kunming 650205, Yunnan, Peoples R China

3.Kansas State Univ, Dept Plant Pathol, Manhattan, KS 66506 USA

关键词： combining ability analysis;maize breeding;correlation analysis;physiological traits

期刊名称：MAYDICA （ 影响因子：0.542； 五年影响因子：0.605 ）

ISSN：

年卷期：

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收录情况： SCI

摘要： Combining ability information on the physiological traits in maize (Zea mays L) and the relationship between physiological traits and biomass, grain yield (GY) and yield components (YC) can help maize breeders design experiments for improving inbred lines and/or developing hybrids with improved GY or YC (GYYC). A six-parent diallel experiment (Griffing method 3) was conducted for combining ability and correlation analyses. The objectives of this study were to 1) study the correlation between physiological traits and biomass at seedling stage; 2) study which physiological traits at seedling stage have significant correlation with biomasses at both seedling and later growth stages and GYYCs; 3) evaluate combining ability of the physiological traits that are significantly correlated with either GY or one of the YCs. Results showed plant heights at 20 day, 40 day, and leaf area were highly correlated with both dry weights of shoots and roots. All chlorophyll-related organelles were significantly correlated with only dry weights of shoots. However, dry matter at seedling stage seemed not to be related to dry matter in later growth stages. Five physiological traits (stomatal conductance, transpiration rate, net photosynthetic rate, two quantum yield related traits) at seedling stage were identified to greatly impact dry matter at later growth stages. Results also showed that 13 out of 35 physiological traits studied were significantly correlated with GYYCs. Different germplasms for improving GYYCs could be used based on both correlation between the 13 traits and GYYCs and combining ability effects of each line for the 13 selected traits.

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