Genomic prediction of the performance of tropical doubled haploid maize lines under artificial striga hermonthica (Del.) Benth. infestation
Striga hermonthica (Del.) Benth., a parasitic weed, causes substantial yield losses in maize production in sub-Saharan Africa (SSA). Breeding for Striga resistance in maize is constrained by limited genetic diversity for Striga resistance within the elite germplasm and phenotyping capacity under art...
| Autores principales: | , , , , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Oxford University Press
2024
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/152067 |
| _version_ | 1855538502153797632 |
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| author | Kimutai, J.J.C. Makumbi, D. Burgueno, J. Perez-Rodriguez, P. Crossa, J. Gowda, M. Menkir, A. Pacheco, A. Ifie, B.E. Tongoona, P. Danquah, E.Y. Prasanna, B.M. |
| author_browse | Burgueno, J. Crossa, J. Danquah, E.Y. Gowda, M. Ifie, B.E. Kimutai, J.J.C. Makumbi, D. Menkir, A. Pacheco, A. Perez-Rodriguez, P. Prasanna, B.M. Tongoona, P. |
| author_facet | Kimutai, J.J.C. Makumbi, D. Burgueno, J. Perez-Rodriguez, P. Crossa, J. Gowda, M. Menkir, A. Pacheco, A. Ifie, B.E. Tongoona, P. Danquah, E.Y. Prasanna, B.M. |
| author_sort | Kimutai, J.J.C. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Striga hermonthica (Del.) Benth., a parasitic weed, causes substantial yield losses in maize production in sub-Saharan Africa (SSA). Breeding for Striga resistance in maize is constrained by limited genetic diversity for Striga resistance within the elite germplasm and phenotyping capacity under artificial Striga infestation. Genomics-enabled approaches have the potential to accelerate identification of Striga resistant lines for hybrid development. The objectives of this study were to evaluate the accuracy of genomic selection for traits associated with Striga resistance and grain yield (GY) and to predict genetic values of tested and untested doubled haploid (DH) maize lines. We genotyped 606 DH lines with 8,439 rAmpSeq markers. A training set of 116 DH lines crossed to two testers was phenotyped under artificial Striga infestation at three locations in Kenya. Heritability for Striga resistance parameters ranged from 0.38‒0.65 while that for GY was 0.54. The prediction accuracies for Striga resistance-associated traits across locations, as determined by cross validation (CV) were 0.24 to 0.53 for CV0 and from 0.20 to 0.37 for CV2. For GY, the prediction accuracies were 0.59 and 0.56 for CV0 and CV2, respectively. The results revealed 300 DH lines with desirable genomic estimated breeding values (GEBVs) for reduced number of emerged Striga plants (STR) at 8, 10, and 12 weeks after planting. The GEBVs of DH lines for Striga resistance associated traits in the training and testing sets were similar in magnitude. These results highlight the potential application of genomic selection in breeding for Striga resistance in maize. The integration of genomic-assisted strategies and DH technology for line development coupled with forward breeding for major adaptive traits will enhance genetic gains in breeding for Striga resistance in maize. |
| format | Journal Article |
| id | CGSpace152067 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Oxford University Press |
| publisherStr | Oxford University Press |
| record_format | dspace |
| spelling | CGSpace1520672025-11-11T10:45:36Z Genomic prediction of the performance of tropical doubled haploid maize lines under artificial striga hermonthica (Del.) Benth. infestation Kimutai, J.J.C. Makumbi, D. Burgueno, J. Perez-Rodriguez, P. Crossa, J. Gowda, M. Menkir, A. Pacheco, A. Ifie, B.E. Tongoona, P. Danquah, E.Y. Prasanna, B.M. striga hermonthica maize breeding genomics haplotypes phenotypes Striga hermonthica (Del.) Benth., a parasitic weed, causes substantial yield losses in maize production in sub-Saharan Africa (SSA). Breeding for Striga resistance in maize is constrained by limited genetic diversity for Striga resistance within the elite germplasm and phenotyping capacity under artificial Striga infestation. Genomics-enabled approaches have the potential to accelerate identification of Striga resistant lines for hybrid development. The objectives of this study were to evaluate the accuracy of genomic selection for traits associated with Striga resistance and grain yield (GY) and to predict genetic values of tested and untested doubled haploid (DH) maize lines. We genotyped 606 DH lines with 8,439 rAmpSeq markers. A training set of 116 DH lines crossed to two testers was phenotyped under artificial Striga infestation at three locations in Kenya. Heritability for Striga resistance parameters ranged from 0.38‒0.65 while that for GY was 0.54. The prediction accuracies for Striga resistance-associated traits across locations, as determined by cross validation (CV) were 0.24 to 0.53 for CV0 and from 0.20 to 0.37 for CV2. For GY, the prediction accuracies were 0.59 and 0.56 for CV0 and CV2, respectively. The results revealed 300 DH lines with desirable genomic estimated breeding values (GEBVs) for reduced number of emerged Striga plants (STR) at 8, 10, and 12 weeks after planting. The GEBVs of DH lines for Striga resistance associated traits in the training and testing sets were similar in magnitude. These results highlight the potential application of genomic selection in breeding for Striga resistance in maize. The integration of genomic-assisted strategies and DH technology for line development coupled with forward breeding for major adaptive traits will enhance genetic gains in breeding for Striga resistance in maize. 2024-10-07 2024-09-10T12:29:54Z 2024-09-10T12:29:54Z Journal Article https://hdl.handle.net/10568/152067 en Open Access application/pdf Oxford University Press Kimutai, J.J., Makumbi, D., Burgueño, J., Pérez-Rodríguez, P., Crossa, J., Gowda, M., ... & Prasanna, B.M. (2024). Genomic prediction of the performance of tropical doubled haploid maize lines under artificial striga hermonthica (Del.) Benth. infestation. G3: Genes, Genomes, Genetics, 1-35. |
| spellingShingle | striga hermonthica maize breeding genomics haplotypes phenotypes Kimutai, J.J.C. Makumbi, D. Burgueno, J. Perez-Rodriguez, P. Crossa, J. Gowda, M. Menkir, A. Pacheco, A. Ifie, B.E. Tongoona, P. Danquah, E.Y. Prasanna, B.M. Genomic prediction of the performance of tropical doubled haploid maize lines under artificial striga hermonthica (Del.) Benth. infestation |
| title | Genomic prediction of the performance of tropical doubled haploid maize lines under artificial striga hermonthica (Del.) Benth. infestation |
| title_full | Genomic prediction of the performance of tropical doubled haploid maize lines under artificial striga hermonthica (Del.) Benth. infestation |
| title_fullStr | Genomic prediction of the performance of tropical doubled haploid maize lines under artificial striga hermonthica (Del.) Benth. infestation |
| title_full_unstemmed | Genomic prediction of the performance of tropical doubled haploid maize lines under artificial striga hermonthica (Del.) Benth. infestation |
| title_short | Genomic prediction of the performance of tropical doubled haploid maize lines under artificial striga hermonthica (Del.) Benth. infestation |
| title_sort | genomic prediction of the performance of tropical doubled haploid maize lines under artificial striga hermonthica del benth infestation |
| topic | striga hermonthica maize breeding genomics haplotypes phenotypes |
| url | https://hdl.handle.net/10568/152067 |
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