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A trait–environment relationship approach to participatory plant breeding for organic agriculture

The extent of intraspecific variation in trait–environment relationships is an open question with limited empirical support in crops. In organic agriculture, with high environmental heterogeneity, this knowledge could guide breeding programs to optimize crop attributes. We propose a three‐dimensiona...

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Detalles Bibliográficos
Autores principales: Rolhauser, Andrés G., Windfeld, Emma, Hanson, Solveig, Wittman, Hannah, Thoreau, Chris, Lyon, Alexandra, Isaac, Marney E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9322327/
https://www.ncbi.nlm.nih.gov/pubmed/35510804
http://dx.doi.org/10.1111/nph.18203
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author Rolhauser, Andrés G.
Windfeld, Emma
Hanson, Solveig
Wittman, Hannah
Thoreau, Chris
Lyon, Alexandra
Isaac, Marney E.
author_facet Rolhauser, Andrés G.
Windfeld, Emma
Hanson, Solveig
Wittman, Hannah
Thoreau, Chris
Lyon, Alexandra
Isaac, Marney E.
author_sort Rolhauser, Andrés G.
collection PubMed
description The extent of intraspecific variation in trait–environment relationships is an open question with limited empirical support in crops. In organic agriculture, with high environmental heterogeneity, this knowledge could guide breeding programs to optimize crop attributes. We propose a three‐dimensional framework involving crop performance, crop traits, and environmental axes to uncover the multidimensionality of trait–environment relationships within a crop. We modeled instantaneous photosynthesis (A (sat)) and water‐use efficiency (WUE) as functions of four phenotypic traits, three soil variables, five carrot (Daucus carota) varieties, and their interactions in a national participatory plant breeding program involving a suite of farms across Canada. We used these interactions to describe the resulting 12 trait–environment relationships across varieties. We found one significant trait–environment relationship for A (sat) (taproot tissue density–soil phosphorus), which was consistent across varieties. For WUE, we found that three relationships (petiole diameter–soil nitrogen, petiole diameter–soil phosphorus, and leaf area–soil phosphorus) varied significantly across varieties. As a result, WUE was maximized by different combinations of trait values and soil conditions depending on the variety. Our three‐dimensional framework supports the identification of functional traits behind the differential responses of crop varieties to environmental variation and thus guides breeding programs to optimize crop attributes from an eco‐evolutionary perspective.
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spelling pubmed-93223272022-07-30 A trait–environment relationship approach to participatory plant breeding for organic agriculture Rolhauser, Andrés G. Windfeld, Emma Hanson, Solveig Wittman, Hannah Thoreau, Chris Lyon, Alexandra Isaac, Marney E. New Phytol Research The extent of intraspecific variation in trait–environment relationships is an open question with limited empirical support in crops. In organic agriculture, with high environmental heterogeneity, this knowledge could guide breeding programs to optimize crop attributes. We propose a three‐dimensional framework involving crop performance, crop traits, and environmental axes to uncover the multidimensionality of trait–environment relationships within a crop. We modeled instantaneous photosynthesis (A (sat)) and water‐use efficiency (WUE) as functions of four phenotypic traits, three soil variables, five carrot (Daucus carota) varieties, and their interactions in a national participatory plant breeding program involving a suite of farms across Canada. We used these interactions to describe the resulting 12 trait–environment relationships across varieties. We found one significant trait–environment relationship for A (sat) (taproot tissue density–soil phosphorus), which was consistent across varieties. For WUE, we found that three relationships (petiole diameter–soil nitrogen, petiole diameter–soil phosphorus, and leaf area–soil phosphorus) varied significantly across varieties. As a result, WUE was maximized by different combinations of trait values and soil conditions depending on the variety. Our three‐dimensional framework supports the identification of functional traits behind the differential responses of crop varieties to environmental variation and thus guides breeding programs to optimize crop attributes from an eco‐evolutionary perspective. John Wiley and Sons Inc. 2022-05-24 2022-08 /pmc/articles/PMC9322327/ /pubmed/35510804 http://dx.doi.org/10.1111/nph.18203 Text en © 2022 The Authors. New Phytologist © 2022 New Phytologist Foundation https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Rolhauser, Andrés G.
Windfeld, Emma
Hanson, Solveig
Wittman, Hannah
Thoreau, Chris
Lyon, Alexandra
Isaac, Marney E.
A trait–environment relationship approach to participatory plant breeding for organic agriculture
title A trait–environment relationship approach to participatory plant breeding for organic agriculture
title_full A trait–environment relationship approach to participatory plant breeding for organic agriculture
title_fullStr A trait–environment relationship approach to participatory plant breeding for organic agriculture
title_full_unstemmed A trait–environment relationship approach to participatory plant breeding for organic agriculture
title_short A trait–environment relationship approach to participatory plant breeding for organic agriculture
title_sort trait–environment relationship approach to participatory plant breeding for organic agriculture
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9322327/
https://www.ncbi.nlm.nih.gov/pubmed/35510804
http://dx.doi.org/10.1111/nph.18203
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