Simulating Superior Genotypes for Plant Height based on QTLs: Towards Virtual Breeding of Rice
文献类型： 会议论文
第一作者： Gerhard Buck-Sorlin
作者： Gerhard Buck-Sorlin 1 ; Lifeng Xu 2 ; Weilong Ding 2 ; Michael Henke 3 ; Winfried Kurth 3 ; Jun Zhu 4 ;
作者机构： 1.UMR 1345 Institut de Recherche en Horticulture et Semences (IRHS), AGROCAMPUS OUEST Centre d'Angers, Institut National d 'Horticulture et de Paysage, 2 rue André le N?tre, 49045 Angers Cedex 01, France
2.College of Computer Science & Technology, Zhejiang University of Technology, Key Laboratory of Visual Media Intelligent Process Technology of Zhejiang Province 310023 Hangzhou, P.R. China
3.Dept. Ecoinformatics, Biometrics and Forest Growth, Georg-August- University G?ttingen, Biisgenweg 4, 37077 G?ttingen, Germany
4.Institute of Bioinformatics, Zhejiang University, 310029 Hangzhou, P.R. China
关键词： eco-physiological model;rice;QTL;virtual breeding;quantitative genetics
会议名称： IEEE International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications
主办单位：
页码： 447-454
摘要： Crop plant researchers and agronomists have in the recent past increasingly turned to crop modeling as a promising tool for the integration and exploration of experimental data from breeding and agronomy. Set up suitably, crop modeling can then also be used to predict performance of future high-yielding cultivars, e.g. of rice, which is one of the major food crops worldwide. Questions such as "Which combination of alleles is likely to have the strongest influence on the development of the individual phenotype?" or "In which way is QTL action modified by a particular environment?" can be tackled with the help of a crop modeling approach. As a further extension of a previously established Functional-Structural Plant model (FSPM) of rice we present here simulated "virtual" reproduction of individuals using QTL information, which can contribute to providing answers to these difficult questions. In this study, we briefly describe the way QTL information has been integrated into the rice model, and sketch the algorithmic implementation of processes leading to the creation of filial genotypes from parental genotypes via simulated sexual reproduction. The phenotype value, which in this case was plant height, was determined with the rules that specify the genetic processes operating on genotypes as intrinsic properties of each individual. The mapping results from the simulated population were compared with the input values for the parental lines. It is shown that the rice model faithfully reflected the genetic properties from the parental lines with low bias, which suggests a reasonable way to integrate QTLs into the plant eco-physiological model with the predictive properties. It could in the future be used as a supporting tool in breeding practice.
分类号： q945.3-53
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