FPUTS seria Agricultura, Alimentaria, Piscaria et Zootechnica, 2017

Stały URI zbioru

https://oa.zut.edu.pl/handle/20.500.12539/700

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Przeglądaj FPUTS seria Agricultura, Alimentaria, Piscaria et Zootechnica, 2017 wg Autor "Broda, Magdalena"

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    PozycjaOpen Access
    Association mapping of effective leaf rust resistance genes in collection of winter wheat
    (Wydawnictwo Uczelniane Zachodniopomorskiego Uniwersytetu Technologicznego w Szczecinie, 2017) Tyrka, Mirosław; Drzazga, Tadeusz; Kud, Jerzy; Miechurska, Violetta; Broda, Magdalena; Kopala, Monika; Department of Biotechnology and Bioinformatics, Rzeszow University of Technology; Malopolska Plant Breeding Ltd, Poland; Malopolska Plant Breeding Ltd, Poland; Malopolska Plant Breeding Ltd, Poland; Department of Biotechnology and Bioinformatics, Rzeszow University of Technology; Department of Biotechnology and Bioinformatics, Rzeszow University of Technology
    Leaf rust disease caused by Puccinia triticina contributes to decrease of wheat yield worldwide. Development of Next Generation Sequencing (NGS) technologies allows for scanning of genotypes. Next, selected markers associated with agronomically important traits can be used for genomic selection. In the present study 94 haplotypes scored for 4599 Single Nucleotide Polymorphism (SNP) markers extracted from DArTseq data were associated with reaction to leaf rust at adult stage estimated for three years in three locations. Mixed Linear Model (MLM) was applied to identify associations between haplotypes Area Under Disease Progress Curve (AUDPC) and Final Leaf Rust score (FLR). We found 13 markers that explained from 6.2 to 14.6% variation in AUDPC. These markers generally presented unique loci distributed over chromosomes 1A, 2A, 2B, 3D, 4A, 6B and 7B. The markers associated with FLR explained from 8.5 to 21.0% of variation. For FLR, 20 markers associated with phenotypic variation were distributed over 10 wheat chromosomes. Chromosomes 2B, 3B and 5B were represented by multiple markers. The characterized genotypes can be crossed to accumulate markers associated with improved leaf rust resistance. Alternatively, mapping populations can be developed to map more precisely the resistance loci identified in association studies. The markers proposed can be directly used in genomic selection to improve leaf rust resistance in modern wheat cultivars.