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Caractérisation et optimisation du réseau d'inscription des variétés de pois d'hiver en 2007, 2008 et 2009 -

2023/12/08 by Lecomte, Christophe, Batifoy, Florent, Bebin, Thierry +16
#0 #Classification automatique #Diagnostic des facteurs limitants #Modèles agronomiques #Rendement #Rendement en protéines

paper · doi:10.17180/r7zm-fj63

Abstract

This study aimed at adapting on peas the diagnosis of limiting factors method previously developed on wheat, based on the multi-environmental trials for registration of new varieties applied to classical hr non-photoperiodic winter peas as well as to the new Hr photoperiod type. Thus, one of our aims was also to discuss the constitution of this new network. The use of preexisting agronomic models or of newly built ones was necessary to calculate certain limiting factor descriptive variables, including the estimation of development stages (floral initiation, beginning of grain filling) or the description of winter frost, water stress, lack of nitrogen and ascochyta intensity. The diagnosis of limiting factors carried out on 4 probe genotypes (3 hr types, 1 Hr type) permitted to explain 51 to 66% of yield variation with 3 to 7 limiting factors, and 43 to 84% of protein yield variations with 3 to 7 limiting factors, closely related to those of yield. We showed the main effect of ascochyta, of high temperatures between beginning of flowering and beginning of grain filling (being less important for protein yield), of drought and lack of radiation during the same period (being more important for protein yield). Limiting factors of the beginning of crop cycle (plant losses, delayed emergence and frost between floral initiation and beginning of flowering) have impacted more particularly early sown peas. Structuring the Hr network has been carried out with the contribution of 4 limiting factors to the yield losses. It underlined the particular status of certain environmental conditions and suggested increasing the limiting factor diversity by choosing new experimental sites or conditions. Using at least 2 probe genotypes is also advisable in order to increase this diversity.

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