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Genetic dissection uncovers genome-wide marker-trait associations for plant growth, yield, and yield-related traits under varying nitrogen levels in nested synthetic wheat introgression libraries

Creator: Sandhu, N.
Creator: Kaur, A.
Creator: Sethi, M.
Creator: Kaur, S.
Creator: Singh, V.
Creator: Sharma, A.
Creator: Bentley, A.R.
Creator: Barsby, T.
Creator: Chhuneja, P.
Year: 2021
Language: English
Publisher: Frontiers
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
Type: Article
Place of Publication: Switzerland
Volume: 12
DOI: 10.3389/fpls.2021.738710
Keywords: Genome-Wide Association Study
Keywords: Marker-Trait Association
Keywords: Synthetic Wheat
Keywords: Introgression Lines
Description: Nitrogen is one of the most important macronutrients for crop growth and metabolism. To identify marker-trait associations for complex nitrogen use efficiency (NUE)-related agronomic traits, field experiments were conducted on nested synthetic wheat introgression libraries at three nitrogen input levels across two seasons. The introgression libraries were genotyped using the 35K Axiom® Wheat Breeder's Array and genetic diversity and population structure were examined. Significant phenotypic variation was observed across genotypes, treatments, and their interactions across seasons for all the 22 traits measured. Significant positive correlations were observed among grain yield and yield-attributing traits and root traits. Across seasons, a total of 233 marker-trait associations (MTAs) associated with fifteen traits of interest at different levels of nitrogen (N0, N60, and N120) were detected using 9,474 genome-wide single nucleotide polymorphism (SNP) markers. Of these, 45 MTAs for 10 traits in the N0 treatment, 100 MTAs for 11 traits in the N60 treatment, and 88 MTAs for 11 traits in the N120 treatment were detected. We identified putative candidate genes underlying the significant MTAs which were associated directly or indirectly with various biological processes, cellular component organization, and molecular functions involving improved plant growth and grain yield. In addition, the top 10 lines based on N response and grain yield across seasons and treatments were identified. The identification and introgression of superior alleles/donors improving the NUE while maintaining grain yield may open new avenues in designing next generation nitrogen-efficient high-yielding wheat varieties.
Agrovoc: GENOMES
Agrovoc: WHEAT
Agrovoc: YIELDS
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ISSN: 1664-462X
Journal: Frontiers in Plant Science
Article number: 738710

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  • Wheat
    Wheat - breeding, phytopathology, physiology, quality, biotech

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