Malagoli Philippe, Lainé Philippe, Le Deunff Erwan, Rossato Laurence, Ney Bertrand, Ourry Alain
Unité Mixte de Recherche, Institut National de la Recherche Agronomique-Université de Caen Basse-Normandie, 950 de Physiologie et Biochimie Végétales, IRBA, Université de Caen, 14032 Caen, France.
Plant Physiol. 2004 Jan;134(1):388-400. doi: 10.1104/pp.103.029538. Epub 2003 Dec 11.
The use of kinetic equations of NO3- transport systems in oilseed rape (Brassica napus), determined by 15NO3- labeling under controlled conditions, combined with experimental field data from the INRA-Châlons rape database were used to model NO3- uptake during the plant growth cycle. The quantitative effects of different factors such as day/night cycle, ontogenetic stages, root temperature, photosynthetically active radiation, and soil nitrate availability on different components of the constitutive high-affinity transport systems, constitutive low-affinity transport systems, inducible low-affinity transport systems, and inducible high-affinity transport systems of nitrate were then determined to improve the model's predictions. Simulated uptake correlated well with measured values of nitrogen (N) uptake under field conditions for all N fertilization rates tested. Model outputs showed that the high-affinity transport system accounted for about 89% of total NO3- uptake (18% and 71% for constitutive high-affinity transport systems and inducible high-affinity transport systems, respectively) when no fertilizer was applied. The low-affinity transport system accounted for a minor proportion of total N uptake, and its activity was restricted to the early phase of the growth cycle. However, N fertilization in spring increased the duration of its contribution to total N uptake. Overall, data show that this mechanistic and environmentally regulated approach is a powerful means to simulate total N uptake in the field with the advantage of taking both physiologically regulated processes at the overall plant level and specific nitrate transport system characteristics into account.
通过在可控条件下用¹⁵NO₃⁻标记来确定油菜(甘蓝型油菜)中NO₃⁻转运系统的动力学方程,并结合法国国家农业研究院-沙隆油菜数据库的田间实验数据,用于模拟植物生长周期中的NO₃⁻吸收。随后确定了昼夜循环、个体发育阶段、根温、光合有效辐射和土壤硝酸盐有效性等不同因素对硝酸盐的组成型高亲和力转运系统、组成型低亲和力转运系统、诱导型低亲和力转运系统和诱导型高亲和力转运系统不同组分的定量影响,以改进模型预测。对于所有测试的氮肥施用量,模拟的吸收量与田间条件下测得的氮(N)吸收值相关性良好。模型输出表明,在不施肥时,高亲和力转运系统约占总NO₃⁻吸收量的89%(组成型高亲和力转运系统和诱导型高亲和力转运系统分别占18%和71%)。低亲和力转运系统占总氮吸收量的比例较小,其活性仅限于生长周期的早期阶段。然而,春季施肥增加了其对总氮吸收贡献的持续时间。总体而言,数据表明这种基于机制和环境调控的方法是模拟田间总氮吸收的有力手段,其优势在于同时考虑了整个植株水平上的生理调控过程和特定硝酸盐转运系统的特征。