Model‐based multi‐genotype characterization of drought stress target population of environments for the common bean in East Africa
Efforts toward the development of common bean varieties that can perform better under the drought conditions in Eastern Africa are constrained by significant genotype–environment–management (G × E × M) interactions. To address this, an attempt was made previously to assess drought stress for Eastern...
| Main Authors: | , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Wiley
2025
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/169853 |
| _version_ | 1855538072126488576 |
|---|---|
| author | Jha, Prakash Kumar Beebe, Steve Urban, Milan Soto, Jonatan Assefa, Teshale Ramirez-Villegas, Julian |
| author_browse | Assefa, Teshale Beebe, Steve Jha, Prakash Kumar Ramirez-Villegas, Julian Soto, Jonatan Urban, Milan |
| author_facet | Jha, Prakash Kumar Beebe, Steve Urban, Milan Soto, Jonatan Assefa, Teshale Ramirez-Villegas, Julian |
| author_sort | Jha, Prakash Kumar |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Efforts toward the development of common bean varieties that can perform better under the drought conditions in Eastern Africa are constrained by significant genotype–environment–management (G × E × M) interactions. To address this, an attempt was made previously to assess drought stress for Eastern Africa using the Target Population of Environments (TPE) approach, albeit by using a single cultivar. Here, we extend earlier TPE work with a larger sample of representative genotypes from East Africa including commercial and breeding lines. By using a larger genotype pool, we are able to (1) assess the extent to which TPEs identified vary across genotypes (i.e., generality of the TPEs) and (2) identify best‐performing genotypes for the various environments identified. To perform the analyses, we used the CROPGRO‐DRYBEAN cropping system model available in the Decision Support System for Agrotechnology Transfer (DSSAT) v4.7 calibrated and evaluated from field trials in Africa and Colombia with 10 genotypes. Our findings indicate that despite some level of genotype‐related variation, the dominant drought stress patterns, and their priorities—drought stress‐free conditions remain the dominant TPE, followed by terminal drought stress—remain unaltered. Moreover, we find that it is possible to reduce the extent and intensity of drought stress in various TPEs by adequately targeting genotypes from the pool considered herein. Importantly, the genotype characteristics for stress‐free, extreme terminal drought and moderate terminal drought stress are significantly different, confirming a differentiated breeding strategy is required between the TPEs. The findings from this study are useful for the modernization of the bean breeding programs in Africa. |
| format | Journal Article |
| id | CGSpace169853 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace1698532025-11-11T19:04:34Z Model‐based multi‐genotype characterization of drought stress target population of environments for the common bean in East Africa Jha, Prakash Kumar Beebe, Steve Urban, Milan Soto, Jonatan Assefa, Teshale Ramirez-Villegas, Julian frijol common beans models east africa drought modelo Efforts toward the development of common bean varieties that can perform better under the drought conditions in Eastern Africa are constrained by significant genotype–environment–management (G × E × M) interactions. To address this, an attempt was made previously to assess drought stress for Eastern Africa using the Target Population of Environments (TPE) approach, albeit by using a single cultivar. Here, we extend earlier TPE work with a larger sample of representative genotypes from East Africa including commercial and breeding lines. By using a larger genotype pool, we are able to (1) assess the extent to which TPEs identified vary across genotypes (i.e., generality of the TPEs) and (2) identify best‐performing genotypes for the various environments identified. To perform the analyses, we used the CROPGRO‐DRYBEAN cropping system model available in the Decision Support System for Agrotechnology Transfer (DSSAT) v4.7 calibrated and evaluated from field trials in Africa and Colombia with 10 genotypes. Our findings indicate that despite some level of genotype‐related variation, the dominant drought stress patterns, and their priorities—drought stress‐free conditions remain the dominant TPE, followed by terminal drought stress—remain unaltered. Moreover, we find that it is possible to reduce the extent and intensity of drought stress in various TPEs by adequately targeting genotypes from the pool considered herein. Importantly, the genotype characteristics for stress‐free, extreme terminal drought and moderate terminal drought stress are significantly different, confirming a differentiated breeding strategy is required between the TPEs. The findings from this study are useful for the modernization of the bean breeding programs in Africa. 2025-01 2025-01-24T15:55:01Z 2025-01-24T15:55:01Z Journal Article https://hdl.handle.net/10568/169853 en Open Access application/pdf Wiley Jha, P.K.; Beebe, S.; Urban, M.; Soto-Bermeo, J.S.; Assefa, T.; Ramirez-Villegas, J. (2024) Model‐based multi‐genotype characterization of drought stress target population of environments for the common bean in East Africa. Crop Science , Online first paper(2024-06-12). ISSN: 0011-183X |
| spellingShingle | frijol common beans models east africa drought modelo Jha, Prakash Kumar Beebe, Steve Urban, Milan Soto, Jonatan Assefa, Teshale Ramirez-Villegas, Julian Model‐based multi‐genotype characterization of drought stress target population of environments for the common bean in East Africa |
| title | Model‐based multi‐genotype characterization of drought stress target population of environments for the common bean in East Africa |
| title_full | Model‐based multi‐genotype characterization of drought stress target population of environments for the common bean in East Africa |
| title_fullStr | Model‐based multi‐genotype characterization of drought stress target population of environments for the common bean in East Africa |
| title_full_unstemmed | Model‐based multi‐genotype characterization of drought stress target population of environments for the common bean in East Africa |
| title_short | Model‐based multi‐genotype characterization of drought stress target population of environments for the common bean in East Africa |
| title_sort | model based multi genotype characterization of drought stress target population of environments for the common bean in east africa |
| topic | frijol common beans models east africa drought modelo |
| url | https://hdl.handle.net/10568/169853 |
| work_keys_str_mv | AT jhaprakashkumar modelbasedmultigenotypecharacterizationofdroughtstresstargetpopulationofenvironmentsforthecommonbeanineastafrica AT beebesteve modelbasedmultigenotypecharacterizationofdroughtstresstargetpopulationofenvironmentsforthecommonbeanineastafrica AT urbanmilan modelbasedmultigenotypecharacterizationofdroughtstresstargetpopulationofenvironmentsforthecommonbeanineastafrica AT sotojonatan modelbasedmultigenotypecharacterizationofdroughtstresstargetpopulationofenvironmentsforthecommonbeanineastafrica AT assefateshale modelbasedmultigenotypecharacterizationofdroughtstresstargetpopulationofenvironmentsforthecommonbeanineastafrica AT ramirezvillegasjulian modelbasedmultigenotypecharacterizationofdroughtstresstargetpopulationofenvironmentsforthecommonbeanineastafrica |