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Advances in Breeding for Mixed Cropping – Incomplete Factorials and the Producer/Associate Concept

Mixed cropping has been suggested as a resource-efficient approach to meet high produce demands while maintaining biodiversity and minimizing environmental impact. Current breeding programs do not select for enhanced general mixing ability (GMA) and neglect biological interactions within species mix...

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Autores principales: Haug, Benedikt, Messmer, Monika M., Enjalbert, Jérôme, Goldringer, Isabelle, Forst, Emma, Flutre, Timothée, Mary-Huard, Tristan, Hohmann, Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7829252/
https://www.ncbi.nlm.nih.gov/pubmed/33505418
http://dx.doi.org/10.3389/fpls.2020.620400
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author Haug, Benedikt
Messmer, Monika M.
Enjalbert, Jérôme
Goldringer, Isabelle
Forst, Emma
Flutre, Timothée
Mary-Huard, Tristan
Hohmann, Pierre
author_facet Haug, Benedikt
Messmer, Monika M.
Enjalbert, Jérôme
Goldringer, Isabelle
Forst, Emma
Flutre, Timothée
Mary-Huard, Tristan
Hohmann, Pierre
author_sort Haug, Benedikt
collection PubMed
description Mixed cropping has been suggested as a resource-efficient approach to meet high produce demands while maintaining biodiversity and minimizing environmental impact. Current breeding programs do not select for enhanced general mixing ability (GMA) and neglect biological interactions within species mixtures. Clear concepts and efficient experimental designs, adapted to breeding for mixed cropping and encoded into appropriate statistical models, are lacking. Thus, a model framework for GMA and SMA (specific mixing ability) was established. Results of a simulation study showed that an incomplete factorial design combines advantages of two commonly used full factorials, and enables to estimate GMA, SMA, and their variances in a resource-efficient way. This model was extended to the Producer (Pr) and Associate (As) concept to exploit additional information based on fraction yields. It was shown that the Pr/As concept allows to characterize genotypes for their contribution to total mixture yield, and, when relating to plant traits, allows to describe biological interaction functions (BIF) in a mixed crop. Incomplete factorial designs show the potential to drastically improve genetic gain by testing an increased number of genotypes using the same amount of resources. The Pr/As concept can further be employed to maximize GMA in an informed and efficient way. The BIF of a trait can be used to optimize species ratios at harvest as well as to extend our understanding of competitive and facilitative interactions in a mixed plant community. This study provides an integrative methodological framework to promote breeding for mixed cropping.
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spelling pubmed-78292522021-01-26 Advances in Breeding for Mixed Cropping – Incomplete Factorials and the Producer/Associate Concept Haug, Benedikt Messmer, Monika M. Enjalbert, Jérôme Goldringer, Isabelle Forst, Emma Flutre, Timothée Mary-Huard, Tristan Hohmann, Pierre Front Plant Sci Plant Science Mixed cropping has been suggested as a resource-efficient approach to meet high produce demands while maintaining biodiversity and minimizing environmental impact. Current breeding programs do not select for enhanced general mixing ability (GMA) and neglect biological interactions within species mixtures. Clear concepts and efficient experimental designs, adapted to breeding for mixed cropping and encoded into appropriate statistical models, are lacking. Thus, a model framework for GMA and SMA (specific mixing ability) was established. Results of a simulation study showed that an incomplete factorial design combines advantages of two commonly used full factorials, and enables to estimate GMA, SMA, and their variances in a resource-efficient way. This model was extended to the Producer (Pr) and Associate (As) concept to exploit additional information based on fraction yields. It was shown that the Pr/As concept allows to characterize genotypes for their contribution to total mixture yield, and, when relating to plant traits, allows to describe biological interaction functions (BIF) in a mixed crop. Incomplete factorial designs show the potential to drastically improve genetic gain by testing an increased number of genotypes using the same amount of resources. The Pr/As concept can further be employed to maximize GMA in an informed and efficient way. The BIF of a trait can be used to optimize species ratios at harvest as well as to extend our understanding of competitive and facilitative interactions in a mixed plant community. This study provides an integrative methodological framework to promote breeding for mixed cropping. Frontiers Media S.A. 2021-01-11 /pmc/articles/PMC7829252/ /pubmed/33505418 http://dx.doi.org/10.3389/fpls.2020.620400 Text en Copyright © 2021 Haug, Messmer, Enjalbert, Goldringer, Forst, Flutre, Mary-Huard and Hohmann. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Haug, Benedikt
Messmer, Monika M.
Enjalbert, Jérôme
Goldringer, Isabelle
Forst, Emma
Flutre, Timothée
Mary-Huard, Tristan
Hohmann, Pierre
Advances in Breeding for Mixed Cropping – Incomplete Factorials and the Producer/Associate Concept
title Advances in Breeding for Mixed Cropping – Incomplete Factorials and the Producer/Associate Concept
title_full Advances in Breeding for Mixed Cropping – Incomplete Factorials and the Producer/Associate Concept
title_fullStr Advances in Breeding for Mixed Cropping – Incomplete Factorials and the Producer/Associate Concept
title_full_unstemmed Advances in Breeding for Mixed Cropping – Incomplete Factorials and the Producer/Associate Concept
title_short Advances in Breeding for Mixed Cropping – Incomplete Factorials and the Producer/Associate Concept
title_sort advances in breeding for mixed cropping – incomplete factorials and the producer/associate concept
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7829252/
https://www.ncbi.nlm.nih.gov/pubmed/33505418
http://dx.doi.org/10.3389/fpls.2020.620400
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