| dc.contributor.author | Juliana, Philomin | en_US |
| dc.contributor.author | Xinyao He | en_US |
| dc.contributor.author | Poland, Jesse A. | en_US |
| dc.contributor.author | Roy, Krishna K. | en_US |
| dc.contributor.author | Malaker, Paritosh K. | en_US |
| dc.contributor.author | Vinod Kumar Mishra | en_US |
| dc.contributor.author | Chand, Ramesh | en_US |
| dc.contributor.author | Shrestha, Sandesh | en_US |
| dc.contributor.author | Kumar, Uttam | en_US |
| dc.contributor.author | Roy, Chandan | en_US |
| dc.contributor.author | Gahtyari, Navin C. | en_US |
| dc.contributor.author | Joshi, Arun Kumar | en_US |
| dc.contributor.author | Singh, Ravi P. | en_US |
| dc.contributor.author | Singh, Pawan K. | en_US |
| dc.date.accessioned | 2023-01-05T09:09:07Z | en_US |
| dc.date.available | 2023-01-05T09:09:07Z | en_US |
| dc.identifier.uri | https://hdl.handle.net/10568/126596 | en_US |
| dc.title | 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 | en_US |
| cg.authorship.types | CGIAR and developing country institute | en_US |
| cg.authorship.types | CGIAR and advanced research institute | en_US |
| dcterms.abstract | 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. | en_US |
| dcterms.accessRights | Open Access | en_US |
| dcterms.audience | Scientists | en_US |
| dcterms.available | 2022-04-13 | en_US |
| dcterms.bibliographicCitation | 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 | en_US |
| dcterms.issued | 2022-06 | en_US |
| dcterms.language | en | en_US |
| dcterms.license | CC-BY-4.0 | en_US |
| dcterms.publisher | Springer Science and Business Media LLC | en_US |
| dcterms.subject | foods | en_US |
| dcterms.subject | biotic stress | en_US |
| dcterms.subject | soft wheat | en_US |
| dcterms.subject | genomics | en_US |
| dcterms.subject | plant height | en_US |
| dcterms.subject | genes | en_US |
| dcterms.type | Journal Article | en_US |
| cg.contributor.affiliation | Borlaug Institute for South Asia | en_US |
| cg.contributor.affiliation | International Maize and Wheat Improvement Center | en_US |
| cg.contributor.affiliation | King Abdullah University of Science and Technology | en_US |
| cg.contributor.affiliation | Bangladesh Wheat and Maize Research Institute | en_US |
| cg.contributor.affiliation | Banaras Hindu University | en_US |
| cg.contributor.affiliation | Kansas State University | en_US |
| cg.contributor.affiliation | Bihar Agricultural University | en_US |
| cg.contributor.affiliation | Indian Council of Agricultural Research | en_US |
| cg.identifier.url | https://hdl.handle.net/10883/22063 | en_US |
| cg.identifier.doi | https://doi.org/10.1007/s00122-022-04087-y | en_US |
| cg.place | Germany | en_US |
| cg.isijournal | ISI Journal | en_US |
| cg.contributor.crp | Wheat | en_US |
| cg.subject.impactArea | Nutrition, health and food security | en_US |
| cg.creator.identifier | Philomin Juliana: 0000-0001-6922-0173 | en_US |
| cg.creator.identifier | Xinyao He: 0000-0003-0217-9510 | en_US |
| cg.creator.identifier | UTTAM KUMAR: 0000-0002-6618-3810 | en_US |
| cg.creator.identifier | Jesse Poland: 0000-0002-7856-1399 | en_US |
| cg.creator.identifier | Arun Kumar Joshi: 0000-0003-4205-9329 | en_US |
| cg.creator.identifier | Ravi Prakash Singh: 0000-0002-4676-5071 | en_US |
| cg.creator.identifier | Pawan Singh: 0000-0003-4610-3120 | en_US |
| cg.contributor.donor | Bill & Melinda Gates Foundation | en_US |
| cg.contributor.donor | CGIAR Trust Fund | en_US |
| cg.contributor.donor | Foreign, Commonwealth and Development Office, United Kingdom | en_US |
| cg.contributor.donor | Foundation for Food and Agriculture Research | en_US |
| cg.contributor.donor | United States Agency for International Development | en_US |
| cg.contributor.donor | Indian Council of Agricultural Research | en_US |
| cg.reviewStatus | Peer Review | en_US |
| cg.howPublished | Formally Published | en_US |
| cg.journal | Theoretical and Applied Genetics | en_US |
| cg.issn | 1432-2242 | en_US |
| cg.volume | 135 | en_US |
| cg.issue | 6 | en_US |
| cg.subject.actionArea | Genetic Innovation | en_US |
| cg.contributor.initiative | Accelerated Breeding | en_US |