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Génétique Quantitative et Évolution - Le Moulon

Soutenance de thèse

 Benedikt Haug

  -  09:00:00
 Salle UMR - Le Moulon

Breeding for Mixed Cropping - Lessons Learned from a Genetic Analysis of Pea (P. sativum L.) - Barley (H. vulgare L.) Mixtures

École doctorale : Sciences du végétal: du gène à l’écosystème (SEVE)

The defense will be in english.

Mixed cropping is the simultaneous cultivation of two or more crops in the same field. Mixed cropping, especially of legume and non-legume plants, has been shown to produce higher and more stable yields than the cultivation of a single crop alone. Breeding for mixed cropping bears the potential to further improve yields in this system and its feasibility was investigated in this thesis. Computer simulations as well as field trials were carried out to clarify important questions on this path. Efficient experimental designs as well as concepts for breeding for mixed cropping were developed. Key empirical findings include the identification of key-traits for indirect selection of pea for mixed cropping, the determination of the size of interaction between genotypes and the identification of heterogeneous material as a potential future pathway to further improve yield stability. The results will contribute to the advance of mixed cropping as a sustainable farming practice and thus help to mitigate the challenges agriculture is facing in the 21st century.



Niels ANTEN Professor, Wageningen University, The Netherlands


Wolfgang LINK Professor, Universität Göttingen, Germany

Jury member

Alison KARLEY Researcher, James Hutton Institute, United Kingdom

Jury member

Cyril FIRMAT Researcher, INRAE, Université de Toulouse


PhD advisor

Monika MESSMER Chercheuse, FiBL, Switzerland

PhD advisor

Pierre HOHMANN Chercheur, IRTA, Spain

PhD co-advisor

Jérôme Enjalbert, Directeur de Recherche, INRAE, Université Paris-Saclay

PhD co-advisor

Isabelle Goldringer, Directrice de Recherche, INRAE, Université Paris-Saclay

In Salle UMR - Le Moulon, Ferme du Moulon, Gif-sur-Yvette (limit: 20 pers.) and online

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