QTL analysis for yield-related traits under different water regimes in maize

Authors

  • Mohamed Abdelghany Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China Crop Science Department, Faculty of Agriculture, Damanhour University, Damanhour 22516, Egypt
  • Xuyang Liu Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
  • Luyang Hao Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
  • Chenxi Gao Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
  • Sirong Kou Crop Institute, Gansu Academy of Agricultural Sciences, Lanzhou 730070, China
  • Erhu Su Maize Institute, Inner Mongolia Academy of Agricultural and Animal Husbandry
  • Yuqian Zhou Crop Institute, Gansu Academy of Agricultural Sciences, Lanzhou 730070, China
  • Ruilian Wang Bayannur Academy of Agricultural Sciences of Inner Mongolia, Bayannur 015400, China
  • Dengfeng Zhang Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
  • Yongxiang Li Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
  • Yanchun Song Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
  • Yunsu Shi Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
  • Tianyu Wang Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
  • Yu Li Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China

Keywords:

Maize, QTL, ear-related trait, kernel-related trait, drought

Abstract

Drought is one of the most essential factors influencing maize yield. Improving maize varieties with drought tolerance by using marker-assisted or genomic selection requires more understanding of the genetic basis of yield-related traits under different water regimes. In the present study, 213 F2:3 families of the cross of H082183 (drought-tolerant) × Lv28 (drought susceptible) were phenotyped with five yield-related traits under four well-watered and six drought environments for two years. Quantitative trait loci analysis identified 133 significant QTLs (94 QTLs for ear traits and 39 QTLs for kernel traits) based on single environment analysis. The joint-environment analysis detected 25 QTLs under well-watered environments (eight QTLs for ear length, eight for ear diameter, one for ear weight, two for kernel weight per ear, and six for 100-kernel weight), and nine QTLs under water-stressed environments (two QTLs for ear length, three for ear diameter, one for ear weight, one for kernel weight, and two for 100-kernel weight). Among these joint-environment QTLs, one common QTL (qEL5) was stably identified at both of the water regimes. Meanwhile, two main-effect QTLs were detected in the well-watered environments,
i.e. qEL10 for ear length and qHKW2 for 100-kernel weight. Also, qED8, qEW8, and qKW8 were found to be located in the same interval of Chr. 8. Similarly, qEL4s and qKW4s were found to be located in the same interval under water-stressed environments. These genomic regions could be candidate targets for further fine mapping and marker-assisted breeding in maize.

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Published

2019-11-27

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Articles