日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Can genome editing help transitioning to agroecology?

基因组编辑能否助力农业生态转型?

Nogué, Fabien; Causse, Mathilde; Debaeke, Philippe; Déjardin, Annabelle; Lemarié, Stéphane; Richard, Guy; Rogowsky, Peter; Caranta, Carole

Improving crop yield potential: Underlying biological processes and future prospects

提高作物产量潜力:潜在的生物学过程和未来展望

Burgess, Alexandra J; Masclaux-Daubresse, Céline; Strittmatter, Günter; Weber, Andreas P M; Taylor, Samuel Harry; Harbinson, Jeremy; Yin, Xinyou; Long, Stephen; Paul, Matthew J; Westhoff, Peter; Loreto, Francesco; Ceriotti, Aldo; Saltenis, Vandasue L R; Pribil, Mathias; Nacry, Philippe; Scharff, Lars B; Jensen, Poul Erik; Muller, Bertrand; Cohan, Jean-Pierre; Foulkes, John; Rogowsky, Peter; Debaeke, Philippe; Meyer, Christian; Nelissen, Hilde; Inzé, Dirk; Klein Lankhorst, René; Parry, Martin A J; Murchie, Erik H; Baekelandt, Alexandra

Seedling emergence and biomass production of soybean cultivars under wheat-soybean relay cropping

小麦-大豆间作模式下大豆品种的幼苗出苗率和生物量产量

Lamichhane, Jay Ram; Varaillas, Carla; Debaeke, Philippe

Combining Experimental and Modeling Approaches to Understand Genotype x Sowing Date x Environment Interaction Effects on Emergence Rates and Grain Yield of Soybean

结合实验和建模方法了解基因型×播种日期×环境互作对大豆出苗率和籽粒产量的影响

Lamichhane, Jay Ram; Aubertot, Jean-Noël; Champolivier, Luc; Debaeke, Philippe; Maury, Pierre

Combining Simple Phenotyping and Photothermal Algorithm for the Prediction of Soybean Phenology: Application to a Range of Common Cultivars Grown in Europe

结合简单表型分析和光热算法预测大豆物候:以欧洲种植的多种常见品种为例

Schoving, Céline; Stöckle, Claudio Osvaldo; Colombet, Céline; Champolivier, Luc; Debaeke, Philippe; Maury, Pierre

Data describing the eco-physiological responses of twenty-four sunflower genotypes to water deficit

本文提供了24个向日葵基因型对水分亏缺的生态生理响应数据。

Blanchet, Nicolas; Casadebaig, Pierre; Debaeke, Philippe; Duruflé, Harold; Gody, Louise; Gosseau, Florie; Langlade, Nicolas B; Maury, Pierre

Injury profile SIMulator, a Qualitative aggregative modelling framework to predict injury profile as a function of cropping practices, and abiotic and biotic environment. II. Proof of concept: design of IPSIM-wheat-eyespot

损伤概况模拟器(IPSIM)是一个定性聚合建模框架,用于预测作物损伤概况与种植方式、非生物环境和生物环境之间的关系。二、概念验证:IPSIM-小麦眼斑病模型的设计

Robin, Marie-Hélène; Colbach, Nathalie; Lucas, Philippe; Montfort, Françoise; Cholez, Célia; Debaeke, Philippe; Aubertot, Jean-Noël

Veterinarians and the welfare of animals

兽医与动物福利

Hossard, L; Philibert, A; Bertrand, M; Colnenne-David, C; Debaeke, P; Munier-Jolain, N; Jeuffroy, M H; Richard, G; Makowski, D; Taylor, Ron