QTL Mapping for the Traits Related to Thousand-kernel Weight and Analysis for Its Heat Tolerance in Spring Wheat
Author:
Affiliation:

1Institute of Cereal and Oil Crops of Hebei Academy of Agriculture and Forestry Sciences/Hebei Laboratory of Crop Genetics and Breeding/Hebei Wheat Innovation Team of Modern Agro-industry Technology Research System, Shijiazhuang 050031; 2Institute of Cash Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang 050051; 3 Tianjin Institute of Crops, Tianjin 300384; 4Agriculture Technology and Popularization Center of Shijiazhuang, Shijiazhuang 050051; 5College of Plant Science & Technology of Huazhong Agricultural University, Wuhan 430070

Clc Number:

Fund Project:

The National Key Research and Development Program of China( 2016YFD0100102-5), The National Key Research and Development Program of China( 2016YFE0108600), The Key R & D Projects in Hebei Province( 19226361D), The Hebei Science and Technology Project( 16226320D), The HAAFS Agriculture Science and Technology Innovation Project( 4-08-03), The Institute of Cereal and Oil Crops Youth Innovation Fund of HAFFS( LYS2016001)

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    The high temperature at the grain filling stage of spring wheat is harmful to the yield production and exploration of the quantitative loci with elevated high-temperature tolerance becomes of interest in wheat breeding. In this study, a recombinant inbred line population derived from the cross of two spring wheat lines ‘Avocet’ and ‘Sujata’ was used for the quantitative mapping of the genetic loci that associated with TKW (thousand kernel weight), KL (Kernel length) and KW (Kernel width) as well as analyzing the interaction pattern of QTLs responding to high temperature at the grain-filling stage. The field trails were conducted at four environments (Gaocheng, Shijiazhuang, 2016-2018; Tianjin, 2017). Twenty quantitative loci were detected at all of four environments, including five QTLs associated with KL, four with KW and eleven with TKW. Four loci QTkw-5A.1/QKl-5A, QTkw-2A.1/QKw-2A.2, QTkw-3B.2/QKw-3B and QTkw-6A/QKw-6A were found with double functions. Three TKW-QTLs (QTkw-2A.1, QTkw-4B and QTkw-5A.1) were detected specifically at different environments. Seven TKW-QTLs were detected at Shijiazhuang, where highand/ or super-high temperature was observed in two calendar years of 2017 and 2018. Two major QTLs (Tkw-2A.1 and QTkw-5A.1) explained 13.8% and 17.3% of phenotypic variation, respectively, whereas five minor QTLs (QTkw-2A.2, QTkw-3B.1, QTkw-3B.2, QTkw-4A.2 and QTkw-6A) contributed to 7.4%-9.9% of phenotypic variation. Out of nine TKW-QTLs detected in Shijiazhuang, six and three represented additive effects from Sujata and Avocet, respectively. Thus, the parental line ‘Sujata’ represented more elite alleles causing higher TKW and wider adaptability.

    Reference
    Related
    Cited by
Get Citation
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:March 01,2020
  • Revised:July 23,2020
  • Adopted:July 24,2020
  • Online: January 07,2021
  • Published:
You are the th visitor 京ICP备09069690号-23
® 2024 All Rights Reserved
Supported by:Beijing E-Tiller Technology Development Co., Ltd.