Optimized cultivar deployment improves the efficiency and stability of sunflower crop production at national scale
| Autor: | Philippe Debaeke, Emmanuelle Mestries, Nicolas B. Langlade, Ronan Trépos, Amélia Landré, Patrick Vincourt, Arnaud Gauffreteau, Julien Sarron, Pierre Casadebaig |
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| Přispěvatelé: | AGroécologie, Innovations, teRritoires (AGIR), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Agronomie, AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire des Interactions Plantes Microbes Environnement (LIPME), Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Terres Inovia, Fonctionnement agroécologique et performances des systèmes de cultures horticoles (UPR HORTSYS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST), Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRA), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
0106 biological sciences
Population [SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy Agricultural engineering Performance de culture 01 natural sciences F30 - Génétique et amélioration des plantes Crop Production végétale F01 - Culture des plantes Genetics Cultivar Plant breeding education 2. Zero hunger education.field_of_study Abiotic stress business.industry cultivar selection [EN] Helianthus annuus General Medicine 04 agricultural and veterinary sciences 15. Life on land [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation Sunflower Rendement des cultures Agriculture 040103 agronomy & agriculture Helianthus 0401 agriculture forestry and fisheries Environmental science France business Agronomy and Crop Science Cropping Biotechnology 010606 plant biology & botany |
| Zdroj: | Theoretical and Applied Genetics |
| Popis: | Plant breeding programs design new crop cultivars which, while developed for distinct populations of environments, are nevertheless grown over large areas during their time in the market. Over its cultivation area, the crop is exposed to highly diverse stress patterns caused by climatic uncertainty and multiple management options, which often leads to decreased expected crop performance.In this study, we aim is to assess how finer spatial management of genetic resources could reduce the yield variance explained by genotype × environment interactions in a set of cropping environments and ultimately improve the efficiency and stability of crop production. We used modeling and simulation to predict the crop performance resulting from the interaction between cultivar growth and development, climate and soil conditions, and management practices. We designed a computational experiment that evaluated the performance of a collection of commercial sunflower cultivars in a realistic population of cropping conditions in France, built from extensive agricultural surveys. Distinct farming locations sharing similar simulated abiotic stress patterns were clustered together to specify environment types. We then used optimization methods to search for cultivars × environments combinations leading to increased yield expectations.Results showed that a single cultivar choice adapted to the most frequent environment-type in the population is a robust strategy. However, the relevance of cultivar recommendations to specific locations was gradually increasing with the knowledge of pedo-climatic conditions. We argue that this approach while being operational on current genetic material could act synergistically with plant breeding as more diverse material could enable access to cultivars with distinctive traits, more adapted to specific conditions.Key messageCrop simulation helps to analyze environmental impacts on crops and provides year-independent context information. This information is of major importance when deciding which cultivar to choose at sowing time. |
| Databáze: | OpenAIRE |
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