Germain Montazeaud

Dr. Germain Montazeaud

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Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 November 2017 in Plant and Soil
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GMGermain Montazeaud
Germain Montazeaud
CVCyrille Violle
Cyrille Violle
HFHélène Fréville
Hélène Fréville
DLDelphine Luquet
Delphine Luquet
NANourollah Ahmadi
Nourollah Ahmadi
FFFlorian Fort
Florian Fort

7 August 2020 in Journal of Applied Ecology
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GMGermain Montazeaud
Germain Montazeaud
CVCyrille Violle
Cyrille Violle
PRPierre Roumet
Pierre Roumet
ARAline Rocher
Aline Rocher
MEMartin Ecarnot
Martin Ecarnot
HFHélène Fréville
Hélène Fréville

26 January 2022 in New Phytologist
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Journal Article
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GMGermain Montazeaud
Germain Montazeaud
TFTimothée Flutre
Timothée Flutre
Elsa BalliniElsa Ballini
Elsa Ballini
JMJean‐Benoit Morel
Jean‐Benoit Morel
JDJacques David
Jacques David
HFHélène Fréville
Hélène Fréville
Summary: Agroecosystem diversification through increased crop genetic diversity could provide multiple services such as improved disease control or increased productivity. However, we still poorly understand how genetic diversity affects agronomic performance. We grew 179 inbred lines of durum wheat in pure stands and in 202 binary mixtures in field conditions. We then tested the effect of allelic richness between genotypes and genotype richness on grain yield and Septoria tritici blotch disease. Allelic richness was tested at 19K single nucleotide polymorphisms distributed along the durum wheat genome. Both genotype richness and allelic richness could be equal to 1 or 2. Mixtures were overall more productive and less diseased than their pure stand components. Yet, we identified one locus at which allelic richness between genotypes was associated with increased disease severity and decreased grain yield. The effect of allelic richness at this locus was stronger than the effect of genotype richness on grain yield (−7.6% vs +5.7%). Our results suggest that positive effects of crop diversity can be reversed by unfavourable allelic associations. This highlights the need to integrate genomic data into crop diversification strategies. More generally, investigating plant–plant interactions at the genomic level is promising to better understand biodiversity–ecosystem functioning relationships.

1 September 2016 in Field Crops Research
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Journal Article
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GMGermain Montazeaud
Germain Montazeaud
HKHandan Karatoğma
Handan Karatoğma
IÖIbrahim Özturk
Ibrahim Özturk
PRPierre Roumet
Pierre Roumet
MEMartin Ecarnot
Martin Ecarnot
MLMarta Da Silva Sabino Lopes
Marta Da Silva Sabino Lopes

19 May 2022 in Evolutionary Applications
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Journal Article
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HFHélène Fréville
Hélène Fréville
GMGermain Montazeaud
Germain Montazeaud
EFEmma Forst
Emma Forst
JDJacques David
Jacques David
Roberto PapaRoberto Papa
Roberto Papa
MTMaud I. Tenaillon
Maud I. Tenaillon
Plant domestication can be viewed as a form of co‐evolved interspecific mutualism between humans and crops for the benefit of the two partners. Here, we ask how this plant–human mutualism has, in turn, impacted beneficial interactions within crop species, between crop species, and between crops and their associated microbial partners. We focus on beneficial interactions resulting from three main mechanisms that can be promoted by manipulating genetic diversity in agrosystems: niche partitioning, facilitation, and kin selection. We show that a combination of factors has impacted either directly or indirectly plant–plant interactions during domestication and breeding, with a trend toward reduced benefits arising from niche partitioning and facilitation. Such factors include marked decrease of molecular and functional diversity of crops and other organisms present in the agroecosystem, mass selection, and increased use of chemical inputs. For example, the latter has likely contributed to the relaxation of selection pressures on nutrient‐mobilizing traits such as those associated to root exudation and plant nutrient exchanges via microbial partners. In contrast, we show that beneficial interactions arising from kin selection have likely been promoted since the advent of modern breeding. We highlight several issues that need further investigation such as whether crop phenotypic plasticity has evolved and could trigger beneficial interactions in crops, and whether human‐mediated selection has impacted cooperation via kin recognition. Finally, we discuss how plant breeding and agricultural practices can help promoting beneficial interactions within and between species in the context of agroecology where the mobilization of diversity and complexity of crop interactions is viewed as a keystone of agroecosystem sustainability.

22 January 2020 in Proceedings Of The Royal Society B-Biological Sciences
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Journal Article
Open access
GMGermain Montazeaud
Germain Montazeaud
FRFrançois Rousset
François Rousset
FFFlorian Fort
Florian Fort
CVCyrille Violle
Cyrille Violle
HFHélène Fréville
Hélène Fréville
SGSylvain Gandon
Sylvain Gandon
Selection of the fittest can promote individual competitiveness but often results in the erosion of group performance. Recently, several authors revisited this idea in crop production and proposed new practices based on selection for cooperative phenotypes, i.e. phenotypes that increase crop yield through decreased competitiveness. These recommendations, however, remain difficult to evaluate without a formal description of crop evolutionary dynamics under different selection strategies. Here, we develop a theoretical framework to investigate the evolution of cooperation-related traits in crops, using plant height as a case study. Our model is tailored to realistic agricultural practices and shows that combining high plant density, high relatedness and selection among groups favours the evolution of shorter plants that maximize grain yield. Our model allows us to revisit past and current breeding practices in light of kin selection theory, and yields practical recommendations to increase cooperation among crops and promote sustainable agriculture.