BMC Genomics (Apr 2020)

Genetic dissection of heat-responsive physiological traits to improve adaptation and increase yield potential in soft winter wheat

  • Sumit Pradhan,
  • Md Ali Babar,
  • Guihua Bai,
  • Jahangir Khan,
  • Dipendra Shahi,
  • Muhsin Avci,
  • Jia Guo,
  • Jordan McBreen,
  • Senthold Asseng,
  • Salvador Gezan,
  • Byung-Kee Baik,
  • Ann Blount,
  • Stephen Harrison,
  • Suraj Sapkota,
  • Paul St. Amand,
  • Sanju Kunwar

DOI
https://doi.org/10.1186/s12864-020-6717-7
Journal volume & issue
Vol. 21, no. 1
pp. 1 – 15

Abstract

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Abstract Background Climate change, including higher temperatures (HT) has a detrimental impact on wheat productivity and modeling studies predict more frequent heat waves in the future. Wheat growth can be impaired by high daytime and nighttime temperature at any developmental stage, especially during the grain filling stage. Leaf chlorophyll content, leaf greenness, cell membrane thermostability, and canopy temperature have been proposed as candidate traits to improve crop adaptation and yield potential of wheat under HT. Nonetheless, a significant gap exists in knowledge of genetic backgrounds associated with these physiological traits. Identifying genetic loci associated with these traits can facilitate physiological breeding for increased yield potential under high temperature stress condition in wheat. Results We conducted genome-wide association study (GWAS) on a 236 elite soft wheat association mapping panel using 27,466 high quality single nucleotide polymorphism markers. The panel was phenotyped for three years in two locations where heat shock was common. GWAS identified 500 significant marker-trait associations (MTAs) (p ≤ 9.99 × 10− 4). Ten MTAs with pleiotropic effects detected on chromosomes 1D, 2B, 3A, 3B, 6A, 7B, and 7D are potentially important targets for selection. Five MTAs associated with physiological traits had pleiotropic effects on grain yield and yield-related traits. Seventy-five MTAs were consistently expressed over several environments indicating stability and more than half of these stable MTAs were found in genes encoding different types of proteins associated with heat stress. Conclusions We identified 500 significant MTAs in soft winter wheat under HT stress. We found several stable loci across environments and pleiotropic markers controlling physiological and agronomic traits. After further validation, these MTAs can be used in marker-assisted selection and breeding to develop varieties with high stability for grain yield under high temperature.

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