Simulation of environmental and genotypic variations of final leaf number and anthesis date for wheat
Simulation of environmental and genotypic variations of final leaf number and anthesis date for wheat
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DOI：
10.1016/j.eja.2011.11.002
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发表时间：
2012-10-01
影响因子：
5.2
通讯作者：
Martre, Pierre
中科院分区：
文献类型：
--
作者：
He, Jianqiang;Le Gouis, Jacques;Martre, Pierre
器官出苗率和发育阶段的持续时间是植物适应环境的关键组成部分。在这里，我们描述了一种混合遗传算法的参数估计的复杂的非线性模拟模型，我们用来估计品种参数的一个评价良好的生理生态模型（天狼星）的小麦物候。本研究的目的是分析天狼星品种参数之间的相关性，并确定需要估计的最小数量的参数，以准确地模拟基因型和环境对小麦开花日期的影响。一个面板的16个面包小麦品种生长在控制条件下，不同的春化和日照处理，并在田间苗圃不同的播种日期，以表征其春化和光周期的要求和早熟性本身。这些品种还在法国和英国沿着800公里纬度样带连续两个生长季节进行田间种植，在那里确定了叶片外观和开花日期的动态。沿着800公里纬度样带。最终叶片数和开花日期的变化，在响应环境和基因型预测的平均误差为0.55叶和3.94天，分别估计后，只有三个天狼星的7个品种参数：叶时，春化率对温度的反应，和叶生产的日照反应。其中，叶时线估计得相当好，并表现出与早熟本身的正相关（斯皮尔曼的等级相关系数= 0.59）。这项研究表明，在天狼星品种参数的数量被高估，只考虑三个品种参数降低了参数之间的相关性和均方根误差的预测最终叶数和开花日期。我们的结论是，小麦发育的现象学模型可以用来估计关键的物候参数，难以确定在现场：提供了可能性进行大规模的定量遗传研究，以更好地了解遗传控制的谷物开花时间。皇冠版权所有（C）2011由Elsevier B.V.出版。保留所有权利。
The rate of organ emergence and the duration of developmental phases are key components of plant fitness to its environment. Here, we describe a hybrid genetic algorithm for the estimation of the parameters of complex non-linear simulation models that we used to estimate the varietal parameters of a well-evaluated ecophysiological model (Sirius) of wheat phenology. The aim of this study was to analyze the correlations between the varietal parameters of Sirius and to determine the minimum number of parameters that need to be estimated in order to accurately simulate the effect of the genotype and environment on wheat anthesis date. A panel of 16 bread wheat cultivars was grown under controlled conditions with different vernalization and daylength treatments and in a field nursery with different sowing dates in order to characterize their vernalization and photoperiodic requirements and earliness per se. These cultivars were also grown in the field in two consecutive growing seasons in France and in the UK along a 800 km latitude transect, where the dynamics of leaf appearance and anthesis date were determined. Variation in both final leaf number and anthesis date in response to the environment and the genotype was predicted with a mean error of 0.55 leaves and 3.94 d, respectively, after estimation of only three of the seven varietal parameters of Sirius: the phyllochron, the response of vernalization rate to temperature, and the daylength response of leaf production. Among them, the phyllochron was reasonably well estimated and showed a positive association with earliness per se (Spearman's coefficient of rank correlation = 0.59). This study showed that the number of varietal parameters in Sirius was overestimated and that considering only three varietal parameters reduced the correlations between the parameters and the root mean square error of prediction for final leaf number and anthesis date. We conclude that a phenomenogical model of wheat development can be used to estimate key phenological parameters that are difficult to determine in the field: offering the possibility to conduct large-scale quantitative genetic studies to understand better the genetic control of flowering time in cereals. Crown Copyright (C) 2011 Published by Elsevier B.V. All rights reserved.