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      Genome-Wide Mapping of Loci for Adult-Plant Resistance to Stripe Rust in Durum Wheat Svevo Using the 90K SNP Array

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          Abstract

          Stripe rust is a foliar disease in wheat caused by Puccinia striiformis f. tritici. The best way to protect wheat from this disease is by growing resistant cultivars. Tetraploid wheat can serve as a good source of valuable genetic diversity for various traits. Here, we report the mapping of nine stripe rust resistance quantitative trait loci (QTL) effective against P. striiformis f. tritici in China and Israel. We used recombinant inbred lines (RILs) developed from a cross between the durum wheat cultivar Svevo and Triticum dicoccoides accession Zavitan. By genotyping the RIL population of 137 lines using the wheat 90K single-nucleotide polymorphism array, we mapped an adult-plant resistance locus QYrsv.swust-1BL.1, the most effective QTL, within a 0.75-centimorgan region in T. turgidum subsp. durum ‘Svevo’ on chromosome arm 1BL, corresponding to the region of 670.7 to 671.5 Mb on the Chinese Spring chromosome arm 1BL. Of the other eight minor-effect stripe rust QTL, seven were from Svevo and mapped on chromosomes 1A, 1B, 2B, 3A, 4A, and 5A, and one was from Zavitan and mapped on chromosome 2A. Several QTL with epistatic effects were identified as well. The markers linked to the resistance QTL can be useful in marker-assisted selection for incorporation of these resistance QTL into both durum and common wheat cultivars.

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          A decimal code for the growth stages of cereals

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            Shifting the limits in wheat research and breeding using a fully annotated reference genome

            An annotated reference sequence representing the hexaploid bread wheat genome in 21 pseudomolecules has been analyzed to identify the distribution and genomic context of coding and noncoding elements across the A, B, and D subgenomes. With an estimated coverage of 94% of the genome and containing 107,891 high-confidence gene models, this assembly enabled the discovery of tissue- and developmental stage-related coexpression networks by providing a transcriptome atlas representing major stages of wheat development. Dynamics of complex gene families involved in environmental adaptation and end-use quality were revealed at subgenome resolution and contextualized to known agronomic single-gene or quantitative trait loci. This community resource establishes the foundation for accelerating wheat research and application through improved understanding of wheat biology and genomics-assisted breeding.
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              QTL IciMapping: Integrated software for genetic linkage map construction and quantitative trait locus mapping in biparental populations

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                Author and article information

                Contributors
                Journal
                Plant Disease
                Plant Disease
                Scientific Societies
                0191-2917
                1943-7692
                April 2021
                April 2021
                : 105
                : 4
                : 879-888
                Affiliations
                [1 ]Wheat Research Institute, School of Life Sciences and Engineering, Southwest University of Science and Technology, Mianyang, Sichuan 621010, People’s Republic of China
                [2 ]The Institute for Cereal Crops Improvement Tel-Aviv University; Institute of Evolution, Department of Evolutionary and Environmental Biology, University of Haifa; Tel Aviv 6139001, Israel
                [3 ]Key Laboratory of Agricultural Integrated Pest Management, Qinghai Province, Scientific Observing and Experimental Station of Crop Pest in Xining, Ministry of Agriculture, Academy of Agriculture and Forestry Science, Qinghai University, Xining, Qinghai 810016, People’s Republic of China
                [4 ]State Key Laboratory of Crop Stress Biology in Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, People’s Republic of China
                Article
                10.1094/PDIS-09-20-1933-RE
                33141640
                b3521ed3-2b93-4d98-9b4e-b067aac88914
                © 2021
                History

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