Quantification of the effects of VRN1 and Ppd-D1 to predict spring wheat (Triticum aestivum) heading time across diverse environments
Quantification of the effects of VRN1 and Ppd-D1 to predict spring wheat (Triticum aestivum) heading time across diverse environments
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量化 VRN1 和 Ppd-D1 对预测不同环境下春小麦 (Triticum aestivum) 抽穗时间的影响
DOI：
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发表时间：
2013
影响因子：
6.9
通讯作者：
S. Chapman
中科院分区：
文献类型：
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作者：
Bangyou Zheng;B. Biddulph;Dora Li;H. Kuchel;S. Chapman
抽穗期是小麦适应不同环境的一个主要决定因素，对于减少霜冻、高温和干旱对生殖发育的风险至关重要。考虑到小麦中已知的主要发育基因，对基于过程的模型APSIM进行了修改，以将基因效应纳入抽穗时间的估计中，同时最大限度地减少模型预测能力的退化。描述环境响应的模型参数被替换为在三个VRN 1位点和Ppd-D1位点的冬季和光周期（PPD）敏感的等位基因的数量的函数。两年的春化和PPD试验的210行（春小麦）在一个单一的位置被用来估计VRN 1和Ppd-D1等位基因的影响，验证对190个试验（约4400观察）在澳大利亚小麦带。与春性基因型相比，冬季基因型Vrn-A1（即具有两个冬季等位基因）的抽穗期延迟了76.8度日（°Cd），是冬季基因型Vrn-B1或Vrn-D1的两倍。在3个VRN 1位点中，Vrn-B1的冬季等位基因与PPD的互作效应最强，在长日照条件下使抽穗期延迟99.0 °Cd。基于基因的模型的校准和验证数据集的均方根误差分别为3.2和4.3 d。创建虚拟基因型，以检查抽穗时间与霜冻和高温事件的比较，并表明新的长季节品种可以抽穗晚（潜在的产量增加）时，播种季节早。这种基于基因的模型允许育种者考虑如何使用从一小组表型处理确定的参数将基因组合靶向当前和未来的生产环境。
Heading time is a major determinant of the adaptation of wheat to different environments, and is critical in minimizing risks of frost, heat, and drought on reproductive development. Given that major developmental genes are known in wheat, a process-based model, APSIM, was modified to incorporate gene effects into estimation of heading time, while minimizing degradation in the predictive capability of the model. Model parameters describing environment responses were replaced with functions of the number of winter and photoperiod (PPD)-sensitive alleles at the three VRN1 loci and the Ppd-D1 locus, respectively. Two years of vernalization and PPD trials of 210 lines (spring wheats) at a single location were used to estimate the effects of the VRN1 and Ppd-D1 alleles, with validation against 190 trials (~4400 observations) across the Australian wheatbelt. Compared with spring genotypes, winter genotypes for Vrn-A1 (i.e. with two winter alleles) had a delay of 76.8 degree days (°Cd) in time to heading, which was double the effect of the Vrn-B1 or Vrn-D1 winter genotypes. Of the three VRN1 loci, winter alleles at Vrn-B1 had the strongest interaction with PPD, delaying heading time by 99.0 °Cd under long days. The gene-based model had root mean square error of 3.2 and 4.3 d for calibration and validation datasets, respectively. Virtual genotypes were created to examine heading time in comparison with frost and heat events and showed that new longer-season varieties could be heading later (with potential increased yield) when sown early in season. This gene-based model allows breeders to consider how to target gene combinations to current and future production environments using parameters determined from a small set of phenotyping treatments.
影响因子：
5.2
作者：
He, Jianqiang;Le Gouis, Jacques;Martre, Pierre
通讯作者：
Martre, Pierre
DOI：
10.1073/pnas.1113009109
发表时间：
2012-03-13
影响因子：
11.1
作者：
Zakhrabekova, Shakhira;Gough, Simon P.;Hansson, Mats
通讯作者：
Hansson, Mats
DOI：
10.1073/pnas.1120496109
发表时间：
2012-05-22
影响因子：
11.1
作者：
Faure, Sebastien;Turner, Adrian S.;Laurie, David A.
通讯作者：
Laurie, David A.