Identifying quantitative trait loci and determining closely related stalk traits for rind penetrometer resistance in a high-oil maize population |
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Authors: | Haixiao Hu Yujie Meng Hongwu Wang Hai Liu Shaojiang Chen |
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Institution: | (1) National Maize Improvement Center of China, China Agricultural University, 2# Yuanmingyuan West Road, Beijing, 100193, China;(2) Institute of Crop Science, Chinese Academy of Agricultural Sciences, 12# Zhongguancun South Street, Beijing, 100081, China;(3) Sorghum Institute, Shanxi Academy of Agricultural Sciences, 238# Yunhua West Road, Yuci District, Jinzhong, 030600, China;(4) The National Maize Industry Technology RD Center, MOA, Beijing, China |
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Abstract: | Stalk lodging in maize causes annual yield losses between 5 and 20% worldwide. Many studies have indicated that maize stalk
strength significantly negatively correlates with lodging observed in the field. Rind penetrometer resistance (RPR) measurements
can be used to effectively evaluate maize stalk strength, but little is known about the genetic basis of this parameter. The
objective of this study was to explore a genetic model and detect quantitative trait loci (QTL) of RPR and determine relationships
between RPR and other stalk traits, especially cell wall chemical components. RPR is quantitative trait in nature, and both
additive and non-additive effects may be important to consider for the improvement of RPR. Nine additive-effect QTLs covering
nine chromosomes, except chromosome 5, and one pair of epistatic QTLs were detected for RPR. CeSA11 involved in cellulose synthesis and colorless2 involved in lignin synthesis were identified as possible candidate genes for RPR. Internode diameter (InD), fresh weight
of internode (FreW), dry weight of internode (DryW), fresh weight and dry weight as well as cell wall components per unit
volume significantly positively correlated with RPR. The internode water content (InW) significantly negatively correlated
with RPR. Notably, these traits significantly correlated with RPR, and the QTLs of these traits co-localized with those of
RPR. The corresponding results obtained from correlation analysis and QTL mapping suggested the presence of pleitropism or
linkage between genes and indicated that these different approaches may be used for cross authentication of relationships
between different traits. |
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