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作 者:Admas Alemu Tileye Feyissa Roberto Tuberosa Marco Maccaferri Giuseppe Sciara Tesfaye Letta Bekele Abeyo
机构地区:[1]Department of Microbial,Cellular and Molecular Biology,Addis Ababa University,P.O.Box 1176,Addis Ababa,Ethiopia [2]Department of Biology,Debre Tabor University,Ethiopia [3]Department of Agricultural and Food Sciences,University of Bologna,Viale G Fanin,44-40127 Bologna,Italy [4]Oromia Agricultural Research Institute,Addis Ababa,Ethiopia [5]International Maize and Wheat Improvement Center(CIMMYT),Addis Ababa,Ethiopia
出 处:《The Crop Journal》2020年第5期757-768,共12页作物学报(英文版)
基 金:The authors thank the Bill and Melinda Gates Foundation,the Department for International Development of the United Kingdom,and the AGER Agroalimentare e Ricerca-Project“From seed to pasta-Multidisciplinary approaches for a more sustainable and high quality durum wheat production”for their financial support to genotype accessions.We are grateful to Debre Zeit and Sinana Agricultural Research Centers for their generous provision of landraces and cultivars used in this study.The first author is further indebted to Addis Ababa University and University of Bologna for the training provided.
摘 要:Grain shape and color strongly influence yield and quality of durumwheat.Identifying QTL for these traits is essential for transferring favorable alleles based on selection strategies and breeding objectives.In the present study,192 Ethiopian durum wheat accessions comprising 167 landraces and 25 cultivars were genotyped with a high-density Illumina iSelect 90K singlenucleotide polymorphism(SNP)wheat array to conduct a genome-wide association analysis for grain width(GW),grain length(GL),CIE(Commission Internationale l'Eclairage)L*(brightness),CIE a*(redness),and CIE b*(yellowness)traits.The accessions were planted at Sinana Agricultural Research Center,Ethiopia in the 2015/2016 cropping season in a complete randomized block design with three replications.Twenty homogeneous and healthy seeds per replicate were used for trait measurement.Digital image analysis of seeds with GrainScan software package was used to generate the phenotypic data.Analysis of variance revealed highly significant differences between accessions for all traits.Atotal of 46 quantitative trait loci(QTL)were identified for all traits across all chromosomes.One novelmajor candidate QTL(−lg P≥4)with pleiotropic effects for grain CIE L*(brightness)and CIE a*(redness)was identified on the long armof chromosome 2A.Eighteen nominal QTL(−lg P≥3)and 26 suggestive QTL(−lg P≥2.5)were identified.Pleiotropic QTL influencing both grain shape and color were identified.
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