Pierre Martre

Pierre Martre
French National Institute for Agriculture, Food, and Environment (INRAE) | INRAE · AgroEcoSystem

Ph.D., D.Sc.

About

195
Publications
85,290
Reads
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11,896
Citations
Introduction
Pierre Martre is an ecophysiologist and crop modeler at INRAE Montpellier (France). His research focuses on cereal adaptation to climate change. His group develops and integrates a combination of ecophysiological, phenomics, and modeling approaches to predict the responses of genotypes to heat and drought scenarios and identify traits that can be used by breeders, and that are ultimately integrated in genomic prediction pipelines. He is the director of the INRAE – Institut Agro Montpellier Joint
Additional affiliations
January 2015 - present
French National Institute for Agriculture, Food, and Environment (INRAE)
Position
  • Research Director (DR)
January 2013 - December 2014
French National Institute for Agriculture, Food, and Environment (INRAE)
Position
  • Managing Director
Description
  • Wheat ecophysiology - system biology - Analysis and modeling of wheat quality genetic variability - grain storage protein regulation - N and S nutrition - transcription factor - crop modeling - model inter-comparison
January 2006 - December 2012
French National Institute for Agriculture, Food, and Environment (INRAE)
Position
  • Senior Researcher (CR)
Description
  • Wheat ecophysiology - system biology - Analysis and modeling of wheat quality genetic variability - grain storage protein regulation - N and S nutrition - transcription factor - grain water relation
Education
November 2011 - November 2011
Université Clermont Auvergne
Field of study
  • Plant Ecophysiology
December 1996 - December 1999
Université de Poitiers
Field of study
  • Plant Ecophysiology
September 1994 - June 1996
Université de Montpellier
Field of study
  • Applied Plant Physiology and Molecular Biology

Publications

Publications (195)
Article
Full-text available
Global food security requires food production to be increased in the coming decades. The closure of any existing genetic yield gap (Yig) by genetic improvement could increase crop yield potential and global production. Here we estimated present global wheat Yig, covering all wheat-growing environments and major producers, by optimizing local wheat...
Article
A c c e p t e d M a n u s c r i p t 3 Highlight An ensemble of 29 wheat crop models simulates seasonal wheat growth well under locally recommended sowing conditions, but needs improvements to capture the yield response to early sowing, especially under high sowing density. Abstract Crop multi-model ensembles (MME) have proven to be effective in inc...
Article
Full-text available
Crop multi-model ensembles (MME) have proven to be effective in increasing the accuracy of simulations in modelling experiments. However, the ability of a MME to capture crop response to changes in sowing dates and densities has not yet been investigated. These management interventions are some of the main levers for adapting cropping systems to cl...
Article
Full-text available
We assessed how the temperature response of leaf day respiration (R d) in wheat responded to contrasting water regimes and growth temperatures. In Experiment 1, well‐watered and drought‐stressed conditions were imposed on two genotypes; in Experiment 2, the two water regimes combined with high (HT), medium (MT) and low (LT) growth temperatures were...
Article
Full-text available
Wheat production in Brazil is insufficient to meet domestic demand and falls drastically in response to adverse climate events. Multiple, agro-climate-specific regression models, quantifying regional production variability, were combined to estimate national production based on past climate, cropping area, trend-corrected yield, and national commod...
Article
Full-text available
While the understanding of average impacts of climate change on crop yields is improving, few assessments have quantified expected impacts on yield distributions and the risk of yield failures. Here we present the relative distribution as a method to assess how the risk of yield failure due to heat and drought stress (measured in terms of return pe...
Preprint
Full-text available
There is potential sources of alleles and genes currently locked into wheat-related species that could be introduced into wheat breeding programs for current and future hot and dry climates. However, neither the intra- nor the inter-specific diversity of the responses of leaf growth and transpiration to temperature and evaporative demand have been...
Article
Full-text available
There are potential sources of alleles and genes currently present in wheat-related species that have the potential to be introduced into wheat breeding programs targeting current and future hot and dry climates. However, to date neither the intra- nor the interspecific diversity of the responses of leaf growth and transpiration to temperature and...
Preprint
We assessed how the temperature response of leaf day respiration ( R d ) in wheat responded to contrasting water regimes and growth temperatures. In Experiment 1, well-watered and drought-stressed conditions were imposed on two genotypes; in Experiment 2, the two water regimes combined with high (HT), medium (MT) and low (LT) growth temperatures we...
Article
Full-text available
Process-based crop models are popular tools to analyze and simulate the response of agricultural systems to weather, agronomic, or genetic factors. They are often developed in modeling platforms to ensure their future extension and to couple different crop models with a soil model and a crop management event scheduler. The intercomparison and impro...
Article
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During the past decade, the interest in using crop models for research, education, extension, outreach and in the private sector has rapidly increased. The iCROPM 2020 Symposium entitled ‘Crop Modeling for the Future’, held in February 2020, therefore, provided a great opportunity for over 400 scientists from 50 different countries to exchange info...
Article
Reduced blue light irradiance is known to enhance leaf elongation rate (LER) in grasses but the mechanisms involved have not yet been elucidated. We investigated if leaf elongation response to reduced blue light could be mediated by stomatal induced variations of plant transpiration. Two experiments were carried out on tall fescue in order to monit...
Article
Full-text available
Canopy light interception determines the amount of energy captured by a crop, and is thus critical to modelling crop growth and yield, and may substantially contribute to the prediction uncertainty of crop growth models (CGMs). We thus analyzed the canopy light interception models of the 26 wheat (Triticum aestivum) CGMs used by the Agricultural Mo...
Article
Durum wheat is one of the most important crops in the Mediterranean basin. The choice of the cultivar and the sowing time are key management practices that ensure high yield. Crop simulation models could be used to investigate the genotype × environment × sowing window (G × E×SW) interactions in order to optimize farmers' actions. The aim of this s...
Article
Full-text available
The diversity of plant and crop process-based modeling platforms in terms of implementation language, software design, and architectural constraints limits the reusability of the model components outside the platform in which they were originally developed, making model reuse a persistent issue. To facilitate the intercomparison and improvement of...
Article
Full-text available
The simulated data set described in this paper was created by an ensemble of nine different crop models: HERMES (HE), Simplace<Lintul5,Slim3, FAO-56 ET0> (L5), SiriusQuality (SQ), MONICA (MO), Sirius2014 (S2), FASSET (FA), 4M (4M), SSM (SS), DSSAT-CSM IXIM (IX). Simulations were performed for grain maize (six models) and winter wheat (eight models)...
Article
Full-text available
Understanding the molecular mechanisms controlling the accumulation of grain storage proteins in response to nitrogen (N) and sulfur (S) nutrition is essential to improve cereal grain nutritional and functional properties. Here, we studied the grain transcriptome and metabolome responses to postanthesis N and S supply for the diploid wheat einkorn...
Conference Paper
Warmer temperature with climate change will affect crop yields by shortening growth duration and increasing water demand as well as the frequency and severity of heat stress. At the same time, elevated atmospheric CO 2 concentrations will decrease rates of water use and additionally increase growth of C 3 crops like wheat. Understanding the combine...
Article
Robust projections of climate impact on crop growth and productivity by crop models are key to designing effective adaptations to cope with future climate risk. However, current crop models diverge strongly in their climate impact projections. Previous studies tried to compare or improve crop models regarding the impact of one single climate variab...
Article
Full-text available
Key message We propose new methods to predict genotype × environment interaction by selecting relevant environmental covariates and using an AMMI decomposition of the interaction. Abstract Farmers are asked to produce more efficiently and to reduce their inputs in the context of climate change. They have to face more and more limiting factors that...
Article
Full-text available
The extraction of desirable heritable traits for crop improvement from high-throughput phenotyping (HTP) observations remains challenging. We developed a modeling workflow named "Digital Plant Phenotyping Platform" (D3P), to access crop architectural traits from HTP observations. D3P couples the Architectural model of DEvelopment based on L-systems...
Article
Full-text available
Albumins and globulins (AGs) of wheat endosperm represent about 20% of total grain proteins. Some of these physiologically active proteins can influence the synthesis of storage proteins (SPs) (gliadins and glutenins) and consequently, rheological properties of wheat flour and processing. To identify such AGs, data, (published by Bonnot et al., 201...
Article
Since 1990 the Intergovernmental Panel on Climate Change (IPCC) has produced five Assessment Reports (ARs), in which agriculture as the production of food for humans via crops and livestock have featured in one form or another. A constructed data base of the ca. 2,100 cited experiments and simulations in the five ARs were analysed with respect to i...
Article
Full-text available
Plant and crop simulation models are powerful tools for predicting the impact of climate change, innovative crop management practices, and new trait- or gene-based breeding technologies on the production of crops and agricultural systems. In this special issue, we gather a collection of review, opinion, and primary research papers that represent th...
Article
Full-text available
Improving wheat (Triticum aestivum L.) yields to meet the projected demand for food in the future requires the talents of diverse scientists. In this article, we present the rationale for crop-model-driven, trait-focused collaborative research emphasizing radiation use efficiency (RUE). Improving RUE is one of the promising avenues to substantially...
Article
Full-text available
Accurate predictions of the timing of physiological stages and the development rate are crucial for predicting crop performance under field conditions. Plant development is controlled by the leaf appearance rate (LAR) and our understanding of how LAR responds to environmental factors is still limited. Here, we tested the hypothesis that carbon avai...
Article
Since 1990, the Intergovernmental Panel on Climate Change (IPCC) has produced five Assessment Reports (ARs), in which agriculture as the production of food for humans via crops and livestock have featured in one form or another. A constructed database of the ca. 2,100 cited experiments and simulations in the five ARs was analyzed with respect to im...
Article
Efforts to limit global warming to below 2°C in relation to the pre‐industrial level are under way, in accordance with the 2015 Paris Agreement. However, most impact research on agriculture to date has focused on impacts of warming >2°C on mean crop yields, and many previous studies did not focus sufficiently on extreme events and yield interannual...
Article
The quality of wheat grain is mainly determined by the quantity and composition of its grain storage proteins (GSPs). GSPs consist of the low (LMW‐GS) and high (HMW‐GS) molecular‐weight glutenins and gliadins. The synthesis of these proteins is essentially regulated at the transcriptional level and by the availability of nitrogen and sulfur. The re...
Article
Full-text available
Understanding the drivers of yield levels under climate change is required to support adaptation planning and respond to changing production risks. This study uses an ensemble of crop models applied on a spatial grid to quantify the contributions of various climatic drivers to past yield variability in grain maize and winter wheat of European cropp...
Article
Full-text available
Projections based on invariant genotypes and agronomic practices indicate that climate change will largely decrease crop yields. The comparatively few studies considering farmers' adaptation result in a diversity of impacts depending on their assumptions. We combined experiments and process-based modeling for analyzing the consequences of climate c...
Article
Full-text available
Wheat grain protein concentration is an important determinant of wheat quality for human nutrition that is often overlooked in efforts to improve crop production. We tested and applied a 32‐multi‐model ensemble to simulate global wheat yield and quality in a changing climate. Potential benefits of elevated atmospheric CO2 concentration by 2050 on g...
Article
A recent innovation in assessment of climate change impact on agricultural production has been to use crop multi model ensembles (MMEs). These studies usually find large variability between individual models but that the ensemble mean (e‐mean) and median (e‐median) often seem to predict quite well. However few studies have specifically been concern...
Article
Full-text available
The data set reported here includes the part of a Hot Serial Cereal Experiment (HSC) experiment recently used in the AgMIP-Wheat project to analyze the uncertainty of 30 wheat models and quantify their response to temperature. The HSC experiment was conducted in an open-field in a semiarid environment in the southwest USA. The data reported herewit...
Article
Extreme weather events across the world cause large variations in daily seasonal temperature and precipitation, potentially reducing grain yield and negatively affecting global food security. Thus, it is important to assess if crop growth models can simulate the yield losses caused by these extreme weather events. We tested if the DSSAT-NWheat crop...
Article
Full-text available
Temperatures are warming on a global scale, a phenomenon that likely will affect future crop productivity. Crop growth models are useful tools to predict the likely effects of these global changes on agricultural productivity and to develop strategies to maximize the benefits and minimize the detriments of such changes. However, few such models hav...
Article
Despite widespread application in studying climate change impacts, most crop models ignore complex interactions among air temperature, crop and soil water status, CO2 concentration and atmospheric conditions that influence crop canopy temperature. The current study extended previous studies by evaluating Tc simulations from nine crop models at six...
Preprint
Nendel 38 | Jørgen Eivind Olesen 37 | Taru Palosuo 44 | John R. Porter 42,45,46 | Eckart Priesack 39 | Dominique Ripoche 47 | Mikhail A. Semenov 48 | Claudio Stöckle 17 | Pierre Stratonovitch 48 | Thilo Streck 33 | Iwan Supit 49 | Fulu Tao 50,44
Article
L’environnement impacte sur les pertes de rendements variablement selon la réponse des différentes variétés de blé. Les essais « rendement » multiplient les environnements distincts pour identifier quels facteurs ont la plus forte influence sur les performances de la culture. Les modèles de simulation de croissance des plantes sont des outils préci...
Article
Full-text available
Climate change impact assessments are plagued with uncertainties from many sources, such as climate projections or the inadequacies in structure and parameters of the impact model. Previous studies tried to account for the uncertainty from one or two of these. Here, we developed a triple-ensemble probabilistic assessment using seven crop models, mu...
Article
Full-text available
Integrated assessment models (IAMs) hold great potential to assess how future agricultural systems will be shaped by socioeconomic development, technological innovation, and changing climate conditions. By coupling with climate and crop model emulators, IAMs have the potential to resolve important agricultural feedback loops and identify unintended...
Article
Full-text available
Process-based crop growth models are popular tools to analyze and understand the impact of crop management, genotype by environment interactions, or climate change. The ability to predict leaf area development is critical to predict crop growth, particularly under conditions of limited resources. Here, we aimed at deciphering growth coordination ru...
Article
Full-text available
Nature Plants 3, 17102 (2017); published online 17 July 2017; corrected online 27 September 2017.
Article
In plant breeding, one of the major challenges of genomic selection is to account for genotype-by-environment (G × E) interactions, and more specifically how varieties are adapted to various environments. Crop growth models (CGM) were developed to model the response of plants to environmental conditions. They can be used to characterize eco-physiol...
Article
Full-text available
Wheat, rice, maize, and soybean provide two-thirds of human caloric intake. Assessing the impact of global temperature increase on production of these crops is therefore critical to maintaining global food supply, but different studies have yielded different results. Here, we investigated the impacts of temperature on yields of the four crops by co...
Article
Full-text available
Wheat grain storage proteins (GSPs) make up most of the protein content of grain and determine flour end-use value. The synthesis and accumulation of GSPs depend highly on nitrogen (N) and sulfur (S) availability and it is important to understand the underlying control mechanisms. Here we studied how the einkorn (Triticum monococcum ssp. monococcum...
Article
Increasing the accuracy of crop productivity estimates is a key element in planning adaptation strategies to ensure global food security under climate change. Process-based crop models are effective means to project climate impact on crop yield, but have large uncertainty in yield simulations. Here, we show that variations in the mathematical funct...
Article
With world population growing quickly, agriculture needs to produce more with fewer inputs while being environmentally friendly. In a context of changing environments, crop models are useful tools to simulate crop yields. Wheat (Triticum spp.) crop models have been evolving since the 1960s to translate processes related to crop growth and developme...
Article
Full-text available
Martre P, Reynolds MP, Asseng S, Ewert F, Alderman PD, Cammarano D, Maiorano A, Ruane AC, Aggarwal PK, Anothai J, Basso B, Biernath C, Challinor AJ, De Sanctis G, Doltra J, Dumont B, Fereres E, Garcia-Vila M, Gayler S, Hoogenboom G, Hunt LA, Izaurralde RC, Jabloun M, Jones CD, Kassie BT, Kersebaum KC, Koehler AK, Müller C, Kumar SN, Liu B, Lobell D...