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Mapping QTLs associated with agronomic and physiological traits under terminal drought and heat stress conditions in wheat (Triticum aestivum L.).
Genome. 2017 Jan; 60(1):26-45.G

Abstract

Wheat crops frequently experience a combination of abiotic stresses in the field, but most quantitative trait loci (QTL) studies have focused on the identification of QTLs for traits under single stress field conditions. A recombinant inbred line (RIL) population derived from SeriM82 × Babax was used to map QTLs under well-irrigated, heat, drought, and a combination of heat and drought stress conditions in two years. A total of 477 DNA markers were used to construct linkage groups that covered 1619.6 cM of the genome, with an average distance of 3.39 cM between adjacent markers. Moderate to relatively high heritability estimates (0.60-0.70) were observed for plant height (PHE), grain yield (YLD), and grain per square meter (GM2). The most important QTLs for days to heading (DHE), thousand grain weight (TGW), and YLD were detected on chromosomes 1B, 1D-a, and 7D-b. The prominent QTLs related to canopy temperature were on 3B. Results showed that common QTLs for DHE, YLD, and TGW on 7D-b were validated in heat and drought trials. Three QTLs for chlorophyll content in SPAD unit (on 1A/6B), leaf rolling (ROL) (on 3B/4A), and GM2 (on 1B/7D-b) showed significant epistasis × environment interaction. Six heat- or drought-specific QTLs (linked to 7D-acc/cat-10, 1B-agc/cta-9, 1A-aag/cta-8, 4A-acg/cta-3, 1B-aca/caa-3, and 1B-agc/cta-9 for day to maturity (DMA), SPAD, spikelet compactness (SCOM), TGW, GM2, and GM2, respectively) were stable and validated over two years. The major DHE QTL linked to 7D-acc/cat-10, with no QTL × environment (QE) interaction increased TGW and YLD. This QTL (5.68 ≤ LOD ≤ 10.5) explained up to 19.6% variation in YLD in drought, heat, and combined stress trials. This marker as a candidate could be used for verification in other populations and identifying superior allelic variations in wheat cultivars or its wild progenitors to increase the efficiency of selection of high yielding lines adapted to end-season heat and drought stress conditions.

Authors+Show Affiliations

a Seed and Plant Improvement Division, Agricultural and Natural Resources Research Center of Fars Province, Darab, Iran. b Department of Crop Production and Plant Breeding, School of Agriculture, 7144165186, Shiraz University, Shiraz, Iran.b Department of Crop Production and Plant Breeding, School of Agriculture, 7144165186, Shiraz University, Shiraz, Iran.b Department of Crop Production and Plant Breeding, School of Agriculture, 7144165186, Shiraz University, Shiraz, Iran.c CSIRO Agriculture, Queensland Bioscience Precinct, St. Lucia, QLD, 4068, Australia.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

27996306

Citation

Tahmasebi, Sirous, et al. "Mapping QTLs Associated With Agronomic and Physiological Traits Under Terminal Drought and Heat Stress Conditions in Wheat (Triticum Aestivum L.)." Genome, vol. 60, no. 1, 2017, pp. 26-45.
Tahmasebi S, Heidari B, Pakniyat H, et al. Mapping QTLs associated with agronomic and physiological traits under terminal drought and heat stress conditions in wheat (Triticum aestivum L.). Genome. 2017;60(1):26-45.
Tahmasebi, S., Heidari, B., Pakniyat, H., & McIntyre, C. L. (2017). Mapping QTLs associated with agronomic and physiological traits under terminal drought and heat stress conditions in wheat (Triticum aestivum L.). Genome, 60(1), 26-45. https://doi.org/10.1139/gen-2016-0017
Tahmasebi S, et al. Mapping QTLs Associated With Agronomic and Physiological Traits Under Terminal Drought and Heat Stress Conditions in Wheat (Triticum Aestivum L.). Genome. 2017;60(1):26-45. PubMed PMID: 27996306.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Mapping QTLs associated with agronomic and physiological traits under terminal drought and heat stress conditions in wheat (Triticum aestivum L.). AU - Tahmasebi,Sirous, AU - Heidari,Bahram, AU - Pakniyat,Hassan, AU - McIntyre,C Lynne, Y1 - 2016/09/15/ PY - 2016/12/21/pubmed PY - 2017/2/28/medline PY - 2016/12/21/entrez KW - QTL × environment KW - QTL × environnement KW - SeriM82/Babax KW - additif par additif KW - additive by additive KW - carte de liaison génétique KW - epistasis KW - linkage map KW - épistasie SP - 26 EP - 45 JF - Genome JO - Genome VL - 60 IS - 1 N2 - Wheat crops frequently experience a combination of abiotic stresses in the field, but most quantitative trait loci (QTL) studies have focused on the identification of QTLs for traits under single stress field conditions. A recombinant inbred line (RIL) population derived from SeriM82 × Babax was used to map QTLs under well-irrigated, heat, drought, and a combination of heat and drought stress conditions in two years. A total of 477 DNA markers were used to construct linkage groups that covered 1619.6 cM of the genome, with an average distance of 3.39 cM between adjacent markers. Moderate to relatively high heritability estimates (0.60-0.70) were observed for plant height (PHE), grain yield (YLD), and grain per square meter (GM2). The most important QTLs for days to heading (DHE), thousand grain weight (TGW), and YLD were detected on chromosomes 1B, 1D-a, and 7D-b. The prominent QTLs related to canopy temperature were on 3B. Results showed that common QTLs for DHE, YLD, and TGW on 7D-b were validated in heat and drought trials. Three QTLs for chlorophyll content in SPAD unit (on 1A/6B), leaf rolling (ROL) (on 3B/4A), and GM2 (on 1B/7D-b) showed significant epistasis × environment interaction. Six heat- or drought-specific QTLs (linked to 7D-acc/cat-10, 1B-agc/cta-9, 1A-aag/cta-8, 4A-acg/cta-3, 1B-aca/caa-3, and 1B-agc/cta-9 for day to maturity (DMA), SPAD, spikelet compactness (SCOM), TGW, GM2, and GM2, respectively) were stable and validated over two years. The major DHE QTL linked to 7D-acc/cat-10, with no QTL × environment (QE) interaction increased TGW and YLD. This QTL (5.68 ≤ LOD ≤ 10.5) explained up to 19.6% variation in YLD in drought, heat, and combined stress trials. This marker as a candidate could be used for verification in other populations and identifying superior allelic variations in wheat cultivars or its wild progenitors to increase the efficiency of selection of high yielding lines adapted to end-season heat and drought stress conditions. SN - 1480-3321 UR - https://www.unboundmedicine.com/medline/citation/27996306/Mapping_QTLs_associated_with_agronomic_and_physiological_traits_under_terminal_drought_and_heat_stress_conditions_in_wheat__Triticum_aestivum_L___ DB - PRIME DP - Unbound Medicine ER -