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    Genomic selection for spot blotch in bread wheat breeding panels, full-sibs and half-sibs and index-based selection for spot blotch, heading and plant height

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    https://hdl.handle.net/10883/22063 (6.522Mb)
    Authors
    Juliana, Philomin
    Xinyao He
    Poland, Jesse A.
    Roy, Krishna K.
    Malaker, Paritosh K.
    Vinod Kumar Mishra
    Chand, Ramesh
    Shrestha, Sandesh
    Kumar, Uttam
    Roy, Chandan
    Gahtyari, Navin C.
    Joshi, Arun Kumar
    Singh, Ravi P.
    Singh, Pawan K.
    Date Issued
    2022-06
    Date Online
    2022-04
    Language
    en
    Type
    Journal Article
    Review status
    Peer Review
    ISI journal
    Accessibility
    Open Access
    Usage rights
    CC-BY-4.0
    Metadata
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    Citation
    Juliana, P., He, X., Poland, J., Roy, K. K., Malaker, P. K., Mishra, V. K., Chand, R., Shrestha, S., Kumar, U., Roy, C., Gahtyari, N. C., Joshi, A. K., Singh, R. P., & Singh, P. K. (2022). Genomic selection for spot blotch in bread wheat breeding panels, full-sibs and half-sibs and index-based selection for spot blotch, heading and plant height. Theoretical and Applied Genetics, 135(6), 1965–1983. https://hdl.handle.net/10883/22063
    Permanent link to cite or share this item: https://hdl.handle.net/10568/126596
    External link to download this item: https://hdl.handle.net/10883/22063
    DOI: https://doi.org/10.1007/s00122-022-04087-y
    Abstract/Description
    A major biotic stress challenging bread wheat production in regions characterized by humid and warm weather is spot blotch caused by the fungus Bipolaris sorokiniana. Since genomic selection (GS) is a promising selection tool, we evaluated its potential for spot blotch in seven breeding panels comprising 6736 advanced lines from the International Maize and Wheat Improvement Center. Our results indicated moderately high mean genomic prediction accuracies of 0.53 and 0.40 within and across breeding panels, respectively which were on average 177.6% and 60.4% higher than the mean accuracies from fixed effects models using selected spot blotch loci. Genomic prediction was also evaluated in full-sibs and half-sibs panels and sibs were predicted with the highest mean accuracy (0.63) from a composite training population with random full-sibs and half-sibs. The mean accuracies when full-sibs were predicted from other full-sibs within families and when full-sibs panels were predicted from other half-sibs panels were 0.47 and 0.44, respectively. Comparison of GS with phenotypic selection (PS) of the top 10% of resistant lines suggested that GS could be an ideal tool to discard susceptible lines, as greater than 90% of the susceptible lines discarded by PS were also discarded by GS. We have also reported the evaluation of selection indices to simultaneously select non-late and non-tall genotypes with low spot blotch phenotypic values and genomic-estimated breeding values. Overall, this study demonstrates the potential of integrating GS and index-based selection for improving spot blotch resistance in bread wheat.
    CGIAR Author ORCID iDs
    Philomin Julianahttps://orcid.org/0000-0001-6922-0173
    Xinyao Hehttps://orcid.org/0000-0003-0217-9510
    UTTAM KUMARhttps://orcid.org/0000-0002-6618-3810
    Jesse Polandhttps://orcid.org/0000-0002-7856-1399
    Arun Kumar Joshihttps://orcid.org/0000-0003-4205-9329
    Ravi Prakash Singhhttps://orcid.org/0000-0002-4676-5071
    Pawan Singhhttps://orcid.org/0000-0003-4610-3120
    CGIAR Action Areas
    Genetic Innovation
    CGIAR Impact Areas
    Nutrition, health and food security
    CGIAR Initiatives
    Accelerated Breeding
    Other CGIAR Affiliations
    Wheat
    AGROVOC Keywords
    foods; biotic stress; soft wheat; genomics; plant height; genes
    Organizations Affiliated to the Authors
    Borlaug Institute for South Asia; International Maize and Wheat Improvement Center; King Abdullah University of Science and Technology; Bangladesh Wheat and Maize Research Institute; Banaras Hindu University; Kansas State University; Bihar Agricultural University; Indian Council of Agricultural Research
    Investors/sponsors
    Bill & Melinda Gates Foundation; CGIAR Trust Fund; Foreign, Commonwealth and Development Office, United Kingdom; Foundation for Food and Agriculture Research; United States Agency for International Development; Indian Council of Agricultural Research
    Collections
    • CGIAR Initiative on Accelerated Breeding [479]

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