» Articles » PMID: 22772727

Detection of Two Major Grain Yield QTL in Bread Wheat (Triticum Aestivum L.) Under Heat, Drought and High Yield Potential Environments

Overview
Publisher Springer
Specialty Genetics
Date 2012 Jul 10
PMID 22772727
Citations 77
Authors
Affiliations
Soon will be listed here.
Abstract

A large proportion of the worlds' wheat growing regions suffers water and/or heat stress at some stage during the crop growth cycle. With few exceptions, there has been no utilisation of managed environments to screen mapping populations under repeatable abiotic stress conditions, such as the facilities developed by the International Wheat and Maize Improvement Centre (CIMMYT). Through careful management of irrigation and sowing date over three consecutive seasons, repeatable heat, drought and high yield potential conditions were imposed on the RAC875/Kukri doubled haploid population to identify genetic loci for grain yield, yield components and key morpho-physiological traits under these conditions. Two of the detected quantitative trait loci (QTL) were located on chromosome 3B and had a large effect on canopy temperature and grain yield, accounting for up to 22 % of the variance for these traits. The locus on chromosome arm 3BL was detected under all three treatments but had its largest effect under the heat stress conditions, with the RAC875 allele increasing grain yield by 131 kg ha(-1) (or phenotypically, 7 % of treatment average). Only two of the eight yield QTL detected in the current study (including linkage groups 3A, 3D, 4D 5B and 7A) were previously detected in the RAC875/Kukri doubled haploid population; and there were also different yield components driving grain yield. A number of discussion points are raised to understand differences between the Mexican and southern Australian production environments and explain the lack of correlation between the datasets. The two key QTL detected on chromosome 3B in the present study are candidates for further genetic dissection and development of molecular markers.

Citing Articles

Enhancing wheat resilience: biotechnological advances in combating heat stress and environmental challenges.

Arif M, Haroon M, Nawaz A, Abbas H, Xu R, Li L Plant Mol Biol. 2025; 115(2):41.

PMID: 40057930 DOI: 10.1007/s11103-025-01569-7.


Genetic dissection for seedling root-related traits using multiple-methods in bread wheat (Triticum aestivum L.).

Wei N, Hao Y, Tao J, Zhao J, Wu B, Qiao L Theor Appl Genet. 2025; 138(3):66.

PMID: 40053141 DOI: 10.1007/s00122-025-04847-6.


Unraveling the genetic basis of heat tolerance and yield in bread wheat: QTN discovery and Its KASP-assisted validation.

Bashir L, Budhlakoti N, Pradhan A, Mehmood A, Haque M, Jacob S BMC Plant Biol. 2025; 25(1):268.

PMID: 40021958 PMC: 11871653. DOI: 10.1186/s12870-025-06285-4.


The Genetics and Breeding of Heat Stress Tolerance in Wheat: Advances and Prospects.

Zheng Y, Cai Z, Wang Z, Maruza T, Zhang G Plants (Basel). 2025; 14(2).

PMID: 39861500 PMC: 11768744. DOI: 10.3390/plants14020148.


Genome-wide association mapping for stay-green and stem reserve mobilization traits in wheat (Triticum aestivum L.) under combined heat and drought stress.

China Malakondaiah A, Arora A, Krishna H, Taria S, Kumar S, Devate N Protoplasma. 2025; .

PMID: 39808290 DOI: 10.1007/s00709-025-02031-7.


References
1.
Naruoka Y, Talbert L, Lanning S, Blake N, Martin J, Sherman J . Identification of quantitative trait loci for productive tiller number and its relationship to agronomic traits in spring wheat. Theor Appl Genet. 2011; 123(6):1043-53. DOI: 10.1007/s00122-011-1646-0. View

2.
Somers D, Isaac P, Edwards K . A high-density microsatellite consensus map for bread wheat (Triticum aestivum L.). Theor Appl Genet. 2004; 109(6):1105-14. DOI: 10.1007/s00122-004-1740-7. View

3.
Mathews K, Malosetti M, Chapman S, McIntyre L, Reynolds M, Shorter R . Multi-environment QTL mixed models for drought stress adaptation in wheat. Theor Appl Genet. 2008; 117(7):1077-91. DOI: 10.1007/s00122-008-0846-8. View

4.
Cuthbert J, Somers D, Brule-Babel A, Brown P, Crow G . Molecular mapping of quantitative trait loci for yield and yield components in spring wheat (Triticum aestivum L.). Theor Appl Genet. 2008; 117(4):595-608. DOI: 10.1007/s00122-008-0804-5. View

5.
Collins N, Tardieu F, Tuberosa R . Quantitative trait loci and crop performance under abiotic stress: where do we stand?. Plant Physiol. 2008; 147(2):469-86. PMC: 2409033. DOI: 10.1104/pp.108.118117. View