Use of multi-trait principal component selection index to identify fall armyworm (Spodoptera frugiperda) resistant maize genotypes
The Fall armyworm (FAW), Spodoptera frugiperda (J. E. Smith) invaded sub-Saharan Africa (SSA) in 2016 and has since become prevalent in many countries, causing significant maize grain yield losses and reduced grain quality. Breeding for host plant resistance to FAW requires improving multiple traits...
| Main Authors: | , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
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Frontiers Media
2025
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/179263 |
| _version_ | 1855523627762450432 |
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| author | Wambi, Wilber Makumbi, Dan Asea, Godfrey Zeleke, Habtamu Bruce, Anani Wakgari, Mulatu Kwemoi, Daniel Bomet Boddupalli, Prasanna |
| author_browse | Asea, Godfrey Boddupalli, Prasanna Bruce, Anani Kwemoi, Daniel Bomet Makumbi, Dan Wakgari, Mulatu Wambi, Wilber Zeleke, Habtamu |
| author_facet | Wambi, Wilber Makumbi, Dan Asea, Godfrey Zeleke, Habtamu Bruce, Anani Wakgari, Mulatu Kwemoi, Daniel Bomet Boddupalli, Prasanna |
| author_sort | Wambi, Wilber |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The Fall armyworm (FAW), Spodoptera frugiperda (J. E. Smith) invaded sub-Saharan Africa (SSA) in 2016 and has since become prevalent in many countries, causing significant maize grain yield losses and reduced grain quality. Breeding for host plant resistance to FAW requires improving multiple traits, complicating selection. This study evaluated the use of principal component (PC)-based multi-trait selection indices to identify FAW resistant maize genotypes. A total of 192 maize hybrids alongside four commercial hybrids, were evaluated over four seasons under artificial FAW infestation. Data on FAW leaf feeding damage (LD) at 7, 14, and 21 days after infestation, and ear damage (ED), ear rot (ER), and grain yield (GY) were recorded. The data were subjected to analysis of variance and PC analysis, and results used to construct two economic weight-free selection indices: PC1-based index (PC1BI) and PC2-based index (PC2BI). Broad-sense heritability estimates were 0.59 to 0.73 for LD, and 0.69 for GY. The two PCs explained 97.1% of the variation among the hybrids. PC1BI, with higher loadings for the leaf feeding damage traits, showed the larger desired gains for these traits (-2.92 to -3.84%) and GY (19.9%), making it a superior index to PC2BI. PC1BI identified six promising hybrids with GY above the cutoff of 7.0 t ha-1 for selection under FAW infestation. PC2BI exhibited larger gains for ED (-11.1%) and ER (-45.4%). The index-based selected hybrids consistently outperformed the commercial hybrid checks. The PC-based indices have the potential to serve as valuable tools for breeders to maximize selection gains; however, modifications are necessary to incorporate other desirable agronomic and adaptive traits. |
| format | Journal Article |
| id | CGSpace179263 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Frontiers Media |
| publisherStr | Frontiers Media |
| record_format | dspace |
| spelling | CGSpace1792632025-12-24T02:06:49Z Use of multi-trait principal component selection index to identify fall armyworm (Spodoptera frugiperda) resistant maize genotypes Wambi, Wilber Makumbi, Dan Asea, Godfrey Zeleke, Habtamu Bruce, Anani Wakgari, Mulatu Kwemoi, Daniel Bomet Boddupalli, Prasanna fall armyworms host plant resistance principal component analysis spodoptera frugiperda selection index maize The Fall armyworm (FAW), Spodoptera frugiperda (J. E. Smith) invaded sub-Saharan Africa (SSA) in 2016 and has since become prevalent in many countries, causing significant maize grain yield losses and reduced grain quality. Breeding for host plant resistance to FAW requires improving multiple traits, complicating selection. This study evaluated the use of principal component (PC)-based multi-trait selection indices to identify FAW resistant maize genotypes. A total of 192 maize hybrids alongside four commercial hybrids, were evaluated over four seasons under artificial FAW infestation. Data on FAW leaf feeding damage (LD) at 7, 14, and 21 days after infestation, and ear damage (ED), ear rot (ER), and grain yield (GY) were recorded. The data were subjected to analysis of variance and PC analysis, and results used to construct two economic weight-free selection indices: PC1-based index (PC1BI) and PC2-based index (PC2BI). Broad-sense heritability estimates were 0.59 to 0.73 for LD, and 0.69 for GY. The two PCs explained 97.1% of the variation among the hybrids. PC1BI, with higher loadings for the leaf feeding damage traits, showed the larger desired gains for these traits (-2.92 to -3.84%) and GY (19.9%), making it a superior index to PC2BI. PC1BI identified six promising hybrids with GY above the cutoff of 7.0 t ha-1 for selection under FAW infestation. PC2BI exhibited larger gains for ED (-11.1%) and ER (-45.4%). The index-based selected hybrids consistently outperformed the commercial hybrid checks. The PC-based indices have the potential to serve as valuable tools for breeders to maximize selection gains; however, modifications are necessary to incorporate other desirable agronomic and adaptive traits. 2025-03-27 2025-12-23T20:11:24Z 2025-12-23T20:11:24Z Journal Article https://hdl.handle.net/10568/179263 en Open Access application/pdf Frontiers Media Wambi, W., Makumbi, D., Asea, G., Zeleke, H., Bruce, A. Y., Wakgari, M., Kwemoi, D. B., & Prasanna, B. M. (2025). Use of multi-trait principal component selection index to identify fall armyworm (Spodoptera frugiperda) resistant maize genotypes. Frontiers in Plant Science, 16, 1544010. https://doi.org/10.3389/fpls.2025.1544010 |
| spellingShingle | fall armyworms host plant resistance principal component analysis spodoptera frugiperda selection index maize Wambi, Wilber Makumbi, Dan Asea, Godfrey Zeleke, Habtamu Bruce, Anani Wakgari, Mulatu Kwemoi, Daniel Bomet Boddupalli, Prasanna Use of multi-trait principal component selection index to identify fall armyworm (Spodoptera frugiperda) resistant maize genotypes |
| title | Use of multi-trait principal component selection index to identify fall armyworm (Spodoptera frugiperda) resistant maize genotypes |
| title_full | Use of multi-trait principal component selection index to identify fall armyworm (Spodoptera frugiperda) resistant maize genotypes |
| title_fullStr | Use of multi-trait principal component selection index to identify fall armyworm (Spodoptera frugiperda) resistant maize genotypes |
| title_full_unstemmed | Use of multi-trait principal component selection index to identify fall armyworm (Spodoptera frugiperda) resistant maize genotypes |
| title_short | Use of multi-trait principal component selection index to identify fall armyworm (Spodoptera frugiperda) resistant maize genotypes |
| title_sort | use of multi trait principal component selection index to identify fall armyworm spodoptera frugiperda resistant maize genotypes |
| topic | fall armyworms host plant resistance principal component analysis spodoptera frugiperda selection index maize |
| url | https://hdl.handle.net/10568/179263 |
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