Using growth and transpiration phenotyping under controlled conditions to select water efficient banana genotypes
Water deficit is one of the world’s major constraints in agriculture and will aggravate in the future. Banana (Musa spp.) is an important crop that needs vast amounts of water for optimal production. The International Transit Center of Bioversity International holds the world’s biggest collection of...
| Autores principales: | , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Frontiers Media
2019
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/101242 |
| _version_ | 1855517480937586688 |
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| author | Wesemael, Jelle van Kissel, E. Eyland, D. Lawson, T. Swennen, Rony L. Carpentier, Sebastien C. |
| author_browse | Carpentier, Sebastien C. Eyland, D. Kissel, E. Lawson, T. Swennen, Rony L. Wesemael, Jelle van |
| author_facet | Wesemael, Jelle van Kissel, E. Eyland, D. Lawson, T. Swennen, Rony L. Carpentier, Sebastien C. |
| author_sort | Wesemael, Jelle van |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Water deficit is one of the world’s major constraints in agriculture and will aggravate in the future. Banana (Musa spp.) is an important crop that needs vast amounts of water for optimal production. The International Transit Center of Bioversity International holds the world’s biggest collection of banana biodiversity (>1,500 accessions). The long-term aim of this research is to evaluate the potential within this collection for climate smart agricultural usage. Therefore, we developed a phenotyping setup under controlled environmental conditions and we selected 32 representatives of the Musa biodiversity (29 cultivars and 3 wild relatives) for evaluation. The best performing genotypes accumulated six to seven times more biomass than the least performing. Eight genotypes (five ABB, one AAB, and two AAA) invest under osmotic stress significantly more in root growth than in leaf growth. We predict therefore that these genotypes have potential for high productivity under rain fed conditions with a short dry season. To gain more insight in the transpiration physiology, we gravimetrically monitored individual plant transpiration over the diurnal period. All analyzed genotypes showed a marked reduction in transpiration rate in the afternoon. Moreover, the timing of this onset, as well as its impact on total transpiration, was genotype dependent. This phenomenon was more pronounced in 13 genotypes (eight ABB, two AAB, two AA, one BB). Banana is a crop originating from the humid tropics and has developed a strong root pressure to maintain an efficient water and nutrient transport even under saturated relative humidity conditions. Therefore, we hypothesize that the diurnal transpiration decline contributes to a higher water use efficiency without compromising the nutrient transport. Of the eight genotypes that had the best growth under osmotic stress, all analyzed ABB cultivars have a lower maximal transpiration rate, keep this maximal transpiration for a shorter time and therefore consume less water per day. We conclude that lab models are very useful to study the biodiversity and to identify different traits that contribute to a better drought tolerance/avoidance. We encourage researchers investigating other crops to start exploring their collections. |
| format | Journal Article |
| id | CGSpace101242 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Frontiers Media |
| publisherStr | Frontiers Media |
| record_format | dspace |
| spelling | CGSpace1012422025-11-12T05:38:50Z Using growth and transpiration phenotyping under controlled conditions to select water efficient banana genotypes Wesemael, Jelle van Kissel, E. Eyland, D. Lawson, T. Swennen, Rony L. Carpentier, Sebastien C. biodiversity bananas water use efficiency transpiration behaviour climate-smart agriculture phenotypes Water deficit is one of the world’s major constraints in agriculture and will aggravate in the future. Banana (Musa spp.) is an important crop that needs vast amounts of water for optimal production. The International Transit Center of Bioversity International holds the world’s biggest collection of banana biodiversity (>1,500 accessions). The long-term aim of this research is to evaluate the potential within this collection for climate smart agricultural usage. Therefore, we developed a phenotyping setup under controlled environmental conditions and we selected 32 representatives of the Musa biodiversity (29 cultivars and 3 wild relatives) for evaluation. The best performing genotypes accumulated six to seven times more biomass than the least performing. Eight genotypes (five ABB, one AAB, and two AAA) invest under osmotic stress significantly more in root growth than in leaf growth. We predict therefore that these genotypes have potential for high productivity under rain fed conditions with a short dry season. To gain more insight in the transpiration physiology, we gravimetrically monitored individual plant transpiration over the diurnal period. All analyzed genotypes showed a marked reduction in transpiration rate in the afternoon. Moreover, the timing of this onset, as well as its impact on total transpiration, was genotype dependent. This phenomenon was more pronounced in 13 genotypes (eight ABB, two AAB, two AA, one BB). Banana is a crop originating from the humid tropics and has developed a strong root pressure to maintain an efficient water and nutrient transport even under saturated relative humidity conditions. Therefore, we hypothesize that the diurnal transpiration decline contributes to a higher water use efficiency without compromising the nutrient transport. Of the eight genotypes that had the best growth under osmotic stress, all analyzed ABB cultivars have a lower maximal transpiration rate, keep this maximal transpiration for a shorter time and therefore consume less water per day. We conclude that lab models are very useful to study the biodiversity and to identify different traits that contribute to a better drought tolerance/avoidance. We encourage researchers investigating other crops to start exploring their collections. 2019-03-26 2019-05-10T14:10:32Z 2019-05-10T14:10:32Z Journal Article https://hdl.handle.net/10568/101242 en Open Access application/pdf Frontiers Media van, Wesemael, J., Kissel, E., Eyland, D., Lawson, T., Swennen, R. & Carpentier, S.C. (2019). Using growth and transpiration phenotyping under controlled conditions to select water efficient banana genotypes. Frontiers in Plant Science, 10(352), 1-14. |
| spellingShingle | biodiversity bananas water use efficiency transpiration behaviour climate-smart agriculture phenotypes Wesemael, Jelle van Kissel, E. Eyland, D. Lawson, T. Swennen, Rony L. Carpentier, Sebastien C. Using growth and transpiration phenotyping under controlled conditions to select water efficient banana genotypes |
| title | Using growth and transpiration phenotyping under controlled conditions to select water efficient banana genotypes |
| title_full | Using growth and transpiration phenotyping under controlled conditions to select water efficient banana genotypes |
| title_fullStr | Using growth and transpiration phenotyping under controlled conditions to select water efficient banana genotypes |
| title_full_unstemmed | Using growth and transpiration phenotyping under controlled conditions to select water efficient banana genotypes |
| title_short | Using growth and transpiration phenotyping under controlled conditions to select water efficient banana genotypes |
| title_sort | using growth and transpiration phenotyping under controlled conditions to select water efficient banana genotypes |
| topic | biodiversity bananas water use efficiency transpiration behaviour climate-smart agriculture phenotypes |
| url | https://hdl.handle.net/10568/101242 |
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