Phenotypic limits of crop diversity: a data exploration of functional trait space
2024
Rolhauser, Andrés, G | Isaac, Marney, E | Violle, Cyrille | Martin, Adam, R | Vasseur, François | Lemoine, Taina | Mahaut, Lucie | Fort, Florian | Rotundo, José, L | Vile, Denis | University of Toronto at Scarborough | Universidad de Buenos Aires [Buenos Aires] (UBA) | Instituto de Investigaciones Fisiologicas y Ecologicas Vinculadas a la Agricultura (IFEVA) ; Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET)-Facultad de Agronomía [Buenos Aires] ; Universidad de Buenos Aires [Buenos Aires] (UBA)-Universidad de Buenos Aires [Buenos Aires] (UBA) | Centre d’Ecologie Fonctionnelle et Evolutive (CEFE) ; Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE) ; Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [Occitanie])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier ; Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Montpellier (UM) | Corteva agriscience | Écophysiologie des Plantes sous Stress environnementaux (LEPSE) ; Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier ; Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro) | Canada Research Chairs program to MEI and the Sustainable Food and Farming FuturesCluster at the University of Toronto Scarborough | CNRS and the European Research Council (ERC-StG-2020-949843) | European Research Council (ERC) Starting Grant Project ‘Ecophysiological and biophysical constraints on domestication in crop plants’ (Grant ERC-StG-2014-639706CONSTRAINTS) | ANR-19-CE32-0011,SCOOP,Sélectionner des plantes coopératives pour développer une agriculture plus durable(2019) | European Project: 639706,H2020,ERC-2014-STG,CONSTRAINTS(2015)
International audience
Показать больше [+] Меньше [-]Английский. Relationships between crop genetic and functional diversity are key to addressing contemporary agricultural challenges. Yet, there are few approaches for quantifying the relationship between genetic diversity and crop functional trait expression. Here, we introduce 'functional space accumulation curves' to analyze how trait space increases with the number of crop genotypes within a species.We explore the potential for functional space accumulating curves to quantify genotypetrait space relationships in four common annual crop species: barley (Hordeum vulgare), rice (Oryza sativa), soybean (Glycine max), and durum wheat (Triticum durum). We also employ these curves to describe genotype-trait space relationships in the wild annual Arabidopsis thaliana, which has not been subjected to artificial selection.All five species exhibited asymptotic functional space accumulation curves, suggesting a limit to intraspecific functional crop diversity, likely due to: dominant phenotypes represented by several genotypes; or functional redundancy that might exist among genotypes. Our findings indicate that there is a diminishing return of functional diversity with increasing number of genotypes.Our analysis demonstrates the efficacy of functional space accumulation curves in quantifying trait space occupancy of crops, with implications for managing crop diversity in agroecosystems, and genetic diversity in crop breeding programs.
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