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Detection of Favorable Alleles for Quality- and Yield-related Traits in Wheat Using a Backcross Population

Detection of Favorable Alleles for Quality- and Yield-related Traits in Wheat Using a Backcross Population
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摘要 Development of wheat varieties with high yield and good quality has been a major objective in wheat breeding.A BC 1 F 2-3 population was used to detect QTLs for wheat quality related traits: SDS-sedimentation value (Ssd),grain protein content (GPC),grain hardness (GH) and 11 mixograph parameters,as well as five agronomic traits: spike length (SL),spikelet number per spike (SPN),grain number per spike (GN),thousand-grain weight (TGW),and plant height (PH).A total of 44 putative QTLs were detected in the present study,31 for quality parameters and 13 for important agronomic traits,including three important major QTLs.One major QTL for Ssd QSsd.saas-1B.1,linked to barc137,explained on average 21.1% of the phenotypic variation in three environments.The allele increasing Ssd at this locus also significantly increased GN.The second locus on chromosome 1B with the linked marker Barc 61 was a major locus for mixograph parameters.It explained 21.3%-32.5%,24.3%-30.6%,30.6%-37% and 20.1%-22.7% of phenotypic variation for mixing tolerance (MT),weakening slope (WS),midline peak time (MPTi) and midline time x =8 value (MTxW),respectively.The third major QTL,explaining above 40% of plant height variation,close to Rht-B 1 on the short arm of chromosome 4BS,co-located with QTL for quality and yield-related traits. Development of wheat varieties with high yield and good quality has been a major objective in wheat breeding. A BC1 F2-3 population was used to detect QTLs for wheat quality related traits: SDS-sedimentation value(Ssd), grain protein content(GPC), grain hardness(GH) and 11 mixograph parameters, as well as five agronomic traits: spike length(SL), spikelet number per spike(SPN), grain number per spike(GN), thousand-grain weight(TGW), and plant height(PH). A total of 44 putative QTLs were detected in the present study, 31 for quality parameters and 13 for important agronomic traits, including three important major QTLs. One major QTL for Ssd QSsd.saas-1 B.1, linked to barc137, explained on average 21.1% of the phenotypic variation in three environments. The allele increasing Ssd at this locus also significantly increased GN. The second locus on chromosome 1 B with the linked marker Barc61 was a major locus for mixograph parameters. It explained 21.3%-32.5%, 24.3%-30.6%, 30.6%-37% and 20.1%-22.7% of phenotypic variation for mixing tolerance(MT), weakening slope(WS), midline peak time(MPTi) and midline time x=8 value(MTxW), respectively. The third major QTL, explaining above 40% of plant height variation, close to Rht-B1 on the short arm of chromosome 4 BS, co-located with QTL for quality and yield-related traits.
出处 《Agricultural Biotechnology》 CAS 2019年第3期5-12,共8页 农业生物技术(英文版)
基金 Supported by the Youth Foundation of Shandong Academy of Agricultural Sciences(2014QNZ02) the National Natural Science Foundation of China(31401378,31501312,31701428 and 31601301) the Science and Technology Development Plan of Shandong Province(2014GSF121001) the Key Research and Development Plan of Shandong Province(2017GNC10113) the Agricultural Science and Technology Innovation Project of Shandong Academy of Agricultural Sciences(CXGC2016C09) the Youth Foundation of Crop Research Institute of Shandong Academy of Agricultural Sciences
关键词 QTL WHEAT QUALITY RELATED TRAITS YIELD RELATED TRAITS QTL Wheat Quality related traits Yield related traits
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