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Genomic Selection for Wheat Blast in a Diversity Panel, Breeding Panel and Full-Sibs Panel

Juliana, Philomin and He, Xinyao and Marza, Felix and Islam, Rabiul and Anwar, Babul and Poland, Jesse and Shrestha, Sandesh and Singh, Gyanendra P. and Chawade, Aakash and Joshi, Arun K. and Singh, Ravi P. and Singh, Pawan K. (2022). Genomic Selection for Wheat Blast in a Diversity Panel, Breeding Panel and Full-Sibs Panel. Frontiers in Plant Science. 12 , 745379
[Research article]

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Abstract

Wheat blast is an emerging threat to wheat production, due to its recent migration to South Asia and Sub-Saharan Africa. Because genomic selection (GS) has emerged as a promising breeding strategy, the key objective of this study was to evaluate it for wheat blast phenotyped at precision phenotyping platforms in Quirusillas (Bolivia), Okinawa (Bolivia) and Jashore (Bangladesh) using three panels: (i) a diversity panel comprising 172 diverse spring wheat genotypes, (ii) a breeding panel comprising 248 elite breeding lines, and (iii) a full-sibs panel comprising 298 full-sibs. We evaluated two genomic prediction models (the genomic best linear unbiased prediction or GBLUP model and the Bayes B model) and compared the genomic prediction accuracies with accuracies from a fixed effects model (with selected blast-associated markers as fixed effects), a GBLUP + fixed effects model and a pedigree relationships-based model (ABLUP). On average, across all the panels and environments analyzed, the GBLUP + fixed effects model (0.63 +/- 0.13) and the fixed effects model (0.62 +/- 0.13) gave the highest prediction accuracies, followed by the Bayes B (0.59 +/- 0.11), GBLUP (0.55 +/- 0.1), and ABLUP (0.48 +/- 0.06) models. The high prediction accuracies from the fixed effects model resulted from the markers tagging the 2NS translocation that had a large effect on blast in all the panels. This implies that in environments where the 2NS translocation-based blast resistance is effective, genotyping one to few markers tagging the translocation is sufficient to predict the blast response and genome-wide markers may not be needed. We also observed that marker-assisted selection (MAS) based on a few blast-associated markers outperformed GS as it selected the highest mean percentage (88.5%) of lines also selected by phenotypic selection and discarded the highest mean percentage of lines (91.8%) also discarded by phenotypic selection, across all panels. In conclusion, while this study demonstrates that MAS might be a powerful strategy to select for the 2NS translocation-based blast resistance, we emphasize that further efforts to use genomic tools to identify non-2NS translocation-based blast resistance are critical.

Authors/Creators:Juliana, Philomin and He, Xinyao and Marza, Felix and Islam, Rabiul and Anwar, Babul and Poland, Jesse and Shrestha, Sandesh and Singh, Gyanendra P. and Chawade, Aakash and Joshi, Arun K. and Singh, Ravi P. and Singh, Pawan K.
Title:Genomic Selection for Wheat Blast in a Diversity Panel, Breeding Panel and Full-Sibs Panel
Series Name/Journal:Frontiers in Plant Science
Year of publishing :2022
Volume:12
Article number:745379
Number of Pages:18
Publisher:FRONTIERS MEDIA SA
ISSN:1664-462X
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Agricultural Science
Keywords:wheat, blast disease, genomic selection (GS), marker-assisted selection, pedigree selection, genotyping-by sequencing, Magnaporthe oryzae
URN:NBN:urn:nbn:se:slu:epsilon-p-115857
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-115857
Additional ID:
Type of IDID
DOI10.3389/fpls.2021.745379
Web of Science (WoS)000745963000001
ID Code:27179
Faculty:LTV - Fakulteten för landskapsarkitektur, trädgårds- och växtproduktionsvetenskap
Department:(LTJ, LTV) > Department of Plant Breeding (from 130101)
Deposited By: SLUpub Connector
Deposited On:23 Feb 2022 09:26
Metadata Last Modified:23 Feb 2022 09:31

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