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定义用于作物改良的基因理想型。

Defining a genetic ideotype for crop improvement.

作者信息

Trethowan Richard M

机构信息

Plant Breeding Institute, The University of Sydney, 107 Cobbity Road, Cobbity, 2570, Sydney, NSW, Australia,

出版信息

Methods Mol Biol. 2014;1145:1-20. doi: 10.1007/978-1-4939-0446-4_1.

Abstract

While plant breeders traditionally base selection on phenotype, the development of genetic ideotypes can help focus the selection process. This chapter provides a road map for the establishment of a refined genetic ideotype. The first step is an accurate definition of the target environment including the underlying constraints, their probability of occurrence, and impact on phenotype. Once the environmental constraints are established, the wealth of information on plant physiological responses to stresses, known gene information, and knowledge of genotype ×environment and gene × environment interaction help refine the target ideotype and form a basis for cross prediction.Once a genetic ideotype is defined the challenge remains to build the ideotype in a plant breeding program. A number of strategies including marker-assisted recurrent selection and genomic selection can be used that also provide valuable information for the optimization of genetic ideotype. However, the informatics required to underpin the realization of the genetic ideotype then becomes crucial. The reduced cost of genotyping and the need to combine pedigree, phenotypic, and genetic data in a structured way for analysis and interpretation often become the rate-limiting steps, thus reducing genetic gain. Systems for managing these data and an example of ideotype construction for a defined environment type are discussed.

摘要

传统上,植物育种者基于表型进行选择,而遗传理想型的发展有助于聚焦选择过程。本章为建立精细的遗传理想型提供了路线图。第一步是准确界定目标环境,包括潜在限制因素、其发生概率以及对表型的影响。一旦确定了环境限制因素,关于植物对胁迫的生理反应的丰富信息、已知的基因信息以及基因型×环境和基因×环境相互作用的知识,有助于完善目标理想型,并为杂交预测奠定基础。一旦定义了遗传理想型,在植物育种计划中构建该理想型仍面临挑战。可以采用多种策略,包括标记辅助轮回选择和基因组选择,这些策略也为优化遗传理想型提供有价值的信息。然而,支持遗传理想型实现所需的信息学变得至关重要。基因分型成本的降低以及以结构化方式组合系谱、表型和遗传数据进行分析和解释的需求,往往成为限速步骤,从而降低遗传增益。本文讨论了管理这些数据的系统以及针对特定环境类型构建理想型的示例。

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