Plant N Fluxes and Modulation by Nitrogen, Heat and Water Stresses: A Review Based on Comparison of Legumes and Non Legume Plants

Chapter 5International audienc

Impacts du réchauffement climatique en Bourgogne-Franche-Comté sur le stress gel hivernal et la date de floraison du pois d’hiver (ProSys)

National audienc

Aide à la sélection : modèles de culture Azodyn et Florsys

National audienc

Le changement climatique et son impact sur la culture du pois. Emission WebTV Agrosup canal Eduter sur la polyculture-élevage, organisée dans le cadre des projets PSDR Prosys et POEETE. Des experts parlent des "Protéines végétales pour l'homme et l'élevage". 1er avril 2021

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Le changement climatique et son impact sur la culture du pois

WebTV organisée dans le cadre du séminaire final des projets PSDR BFC (projets PSDR ProSys et POEETE), vidéo YouTub

Effect of daily temperature amplitude at high mean temperature on seed growth and nitrogen partitioning of pea

BOOK OF ABSTRACTSInternational audienc

Effect of daily temperature amplitude at high mean temperature on seed growth and nitrogen partitioning of pea

BOOK OF ABSTRACTSInternational audienc

A crop model component simulating N partitioning during seed filling in pea

International audienceSeed N concentration is one of the main quality parameters in grain legume crops. Since few studies have aimed at modellingboth seed and vegetative parts N concentrations, our objective was to model N partitioning between vegetative parts and fillingseeds for pea (Pisum sativum L.) in field situations where both N nutrition and the plant genotype varied. A crop modelcomponent predicting the time courses of vegetative and seed N concentrations was built using knowledge concerning Npartitioning during the seed filling period, which include a previously demonstrated relationship between the rate of individualseed N accumulation and the N availability within plants. A greenhouse experiment where assimilate availability was nonlimitingwas conducted with two genotypes. This experiment demonstrated the genotypic variability of one of the crop modelcomponent parameters, the maximum rate of individual seed N accumulation (SNRmax), allowing introduction of this parameterin the crop model component for the studied genotypes. Field experiments spanning 3 years and comprising various crop Nnutrition and four genotypes were conducted to evaluate the crop model component. Observed seed and vegetative parts Nconcentrations ranged at harvest from 19.3 to 39.1 mg g1 and from 3.6 to 18.4 mg g1, respectively. N partitioning was wellsimulated by the crop model component except when crops had deficient N nutrition. These results suggest that the parameter ‘‘NCn-remob’’ (proportion of N in vegetative parts which is not available for remobilization to filling seeds), which is taken as constant in the crop model component, could depend upon the crop nutrition level.A sensitivity analysis highlights the need for a precise calibration of the parameters ‘‘NCn-remob’’ and ‘‘SNRmax’’. When the crop N nutrition level and further genotypic variability of these parameters are incorporated in the proposed crop model component, it will become a useful part of a pea crop model predicting yield and seed N concentration