Merging Crop Modeling and Genetics: A Training Workshop, August 2014, Univerity of Florida.

植物基因组学项目已经产生了丰富的数据，从数量不断增加的基因组序列到大量的基因表达数据。然而，植物生物界目前面临的主要挑战之一是在一系列环境下可以产生的一种基因型与其对应的一系列潜在表型之间建立可靠的联系。基于基因的作物模拟模型(CSMS)是研究不同环境下作物表型背景下基因功能的有价值的工具，也是一种植物育种工具。NSF基金将支持一个培训研讨会，让研究界意识到将遗传信息纳入作物模型的潜在好处。研讨会将促进作物模型师、育种师和遗传学家之间的互动，并将提供数量遗传学、作物模型、表型分析和生物信息学方面的高级研究生和博士后助理的培训。基于基因的作物模拟模型(CSMS)是动态工具，使用数学表达式来表示不同环境下的植物生长和发育；因此，它们提供了在遗传型域和更具可塑性的表型域之间建立桥梁的独特机会。CSMS的校准产生了一组基因特异性参数(GSP)，而遗传分析可以识别与GSP相关的基因，并帮助将GSP转化为控制基因的数学函数。佛罗里达大学的遗传学家、育种者和作物模型师正在与北达科他州立大学、宾夕法尼亚大学、波多黎各大学和国际热带农业中心(哥伦比亚)的同事合作，采用这种方法。为期6天的研讨会将包括在干湿实验室环境下的讲座和动手练习。将通过一个专门的网站向与会者和研究界提供一本涵盖讲习班将讨论的不同主题的手册以及讲习班的录像。

Plant genomics projects have generated a cornucopia of data ranging from an ever increasing number of genome sequences to a vast array of gene expression data. However, one of the major challenges facing the plant biology community at this time is establishing reliable connections between a genotype and its corresponding range of potential phenotypes that can be generated under a range of environments. Gene-based crop simulation models (CSMs) are valuable tools to study gene function in the context of a crop phenotype in diverse environments, and also as a plant breeding tool. NSF funds will support a training workshop to make the research community aware of the potential benefits of incorporating genetic information into crop models. The workshop will promote interactions between crop modelers, breeders and geneticists, and will provide training of advanced graduate students and postdoctoral associates in quantitative genetics, crop modeling, phenotyping and bioinformatics.Gene-based crop simulation models (CSMs) are dynamic tools that use mathematical expressions to represent plant growth and development under different environments; for this reason, they provide a unique opportunity to establish a bridge between the genotype domain and the more plastic phenotype domain. Calibration of CSMs yields a set of genotype specific parameters (GSPs), while genetic analysis can identify the genes associated with GSPs, and help turn the GSPs into mathematical functions of the controlling genes. This approach is being pursued by geneticist, breeders and crop-modelers at the University of Florida in collaboration with colleagues at North Dakota State University, the University of Pennsylvania, the University of Puerto Rico, and the International Center for Tropical Agriculture (CIAT) (Colombia). The 6-day workshop will include lectures and hands-on exercises in dry- and wet-lab settings. A manual covering the different topics that will be addressed in the workshop will be made available to participants and also to the research community along with a video of the workshop through a dedicated website.