In silico system analysis of physiological traits determining grain yield and protein concentration for wheat as influenced by climate and crop management.
In silico system analysis of physiological traits determining grain yield and protein concentration for wheat as influenced by climate and crop management.
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DOI：
10.1093/jxb/erv049
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发表时间：
2015-06
影响因子：
6.9
通讯作者：
Semenov MA
中科院分区：
文献类型：
--
作者：
Martre P;He J;Le Gouis J;Semenov MA
对基于过程的模型SiriusQuality2进行了全局不确定性和敏感性分析，以量化小麦简单形态生理性状与籽粒产量和蛋白质浓度之间的关系。籽粒产量(GY)和籽粒蛋白质浓度(GPC)的遗传改良受阻于大的基因型×环境×管理互作和性状间的补偿效应。在这里，对基于过程的小麦模型SiriusQuality2进行了全局不确定性和敏感性分析，目的是识别候选性状以增加GY和GPC。选择欧洲三个不同的地点，利用长期气象资料和两个氮素处理进行模拟，以量化不同环境下参数不确定性对GY和GPC的影响。首先用Morris方法分析了天狼星品质2的全部75个植物参数的总体影响。通过扩展傅立叶幅度灵敏度检验，确定了41个影响参数，并考察了它们对模型输出的单独(一阶)和总体影响。这些参数的总体影响主要取决于它们与其他参数的交互作用。在高N供应条件下，确定了几个影响GY的参数(例如，辐射利用效率、籽粒灌浆潜在持续时间和叶轮)。然而，在低氮条件下，10个参数对GY和GPC的影响相似。各参数对GY和GPC都有相反的影响，但叶片和茎储氮量是改变GY和GPC负相关的截距的较好候选性状。本研究提供了在不同环境下决定GY和GPC的性状的系统分析，并为优先考虑模型开发和实验工作提供了有价值的信息。
A global uncertainty and sensitivity analysis of the process-based model SiriusQuality2 was carried out to quantify the relationship between simple morpho-physiological traits and grain yield and protein concentration for wheat. Genetic improvement of grain yield (GY) and grain protein concentration (GPC) is impeded by large genotype×environment×management interactions and by compensatory effects between traits. Here global uncertainty and sensitivity analyses of the process-based wheat model SiriusQuality2 were conducted with the aim of identifying candidate traits to increase GY and GPC. Three contrasted European sites were selected and simulations were performed using long-term weather data and two nitrogen (N) treatments in order to quantify the effect of parameter uncertainty on GY and GPC under variable environments. The overall influence of all 75 plant parameters of SiriusQuality2 was first analysed using the Morris method. Forty-one influential parameters were identified and their individual (first-order) and total effects on the model outputs were investigated using the extended Fourier amplitude sensitivity test. The overall effect of the parameters was dominated by their interactions with other parameters. Under high N supply, a few influential parameters with respect to GY were identified (e.g. radiation use efficiency, potential duration of grain filling, and phyllochron). However, under low N, >10 parameters showed similar effects on GY and GPC. All parameters had opposite effects on GY and GPC, but leaf and stem N storage capacity appeared as good candidate traits to change the intercept of the negative relationship between GY and GPC. This study provides a system analysis of traits determining GY and GPC under variable environments and delivers valuable information to prioritize model development and experimental work.
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影响因子：
11.6
作者：
Bassu, Simona;Brisson, Nadine;Waha, Katharina
通讯作者：
Waha, Katharina
影响因子：
5.8
作者：
Ferrise, Roberto;Triossi, Andrea;Martre, Pierre
通讯作者：
Martre, Pierre
影响因子：
4.9
作者：
Campolongo, Francesca;Cariboni, Jessica;Saltelli, Andrea
通讯作者：
Saltelli, Andrea
DOI：
10.1016/b978-0-12-417104-6.00017-0
发表时间：
2015-01-01
期刊：
CROP PHYSIOLOGY: APPLICATIONS FOR GENETIC IMPROVEMENT AND AGRONOMY, 2ND EDITION
影响因子：
--
作者：
Aguirrezabal, Luis;Martre, Pierre;Izquierdo, Natalia
通讯作者：
Izquierdo, Natalia
影响因子：
7.4
作者：
Bertheloot, Jessica;Martre, Pierre;Andrieu, Bruno
通讯作者：
Andrieu, Bruno