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Modelling QTL-Trait-Crop Relationships: Past Experiences and Future Prospects

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Crop Systems Biology

Abstract

Ecophysiological crop models have long been used to understand crop responses to environmental factors and to crop management practices, by integrating quantitative functional relationships for various physiological processes. In view of the potential added value of robust crop modelling to classical quantitative genetics, model-input parameters are increasingly considered to represent ‘genetic coefficients’, which are environment-independent and amenable to selection. Likewise, modern molecular genetics can enhance applications of ecophysiological modelling in breeding design by elucidating the genetic basis of model-input parameters. A number of case studies, in which the effects of quantitative trait loci (QTL) have been incorporated into existing ecophysiological models to replace model-input parameters, have shown promise of using these QTL-based models in analysing genotype-phenotype relationships of more complex crop traits. In this chapter, we will review recent research achievements and express our opinions on perspectives for QTL-based modelling of genotype-by-environment interactions and even epistasis on complex traits at crop level.

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Authors and Affiliations

  1. Department of Plant Sciences, Centre for Crop Systems Analysis, Wageningen University, 430, 6700 AK, Wageningen, The Netherlands

    Xinyou Yin & Paul C. Struik

  2. Key Laboratory of Crop Genetics and Physiology of Jiangsu Province, Yangzhou University, Yangzhou, Jiangsu, China

    Junfei Gu

  3. Plant Breeding and Genetics, China Agricultural University, 100193, Beijing, China

    Huaqi Wang

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  1. Xinyou Yin
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  2. Paul C. Struik
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  3. Junfei Gu
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  4. Huaqi Wang
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Correspondence to Xinyou Yin .

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  1. Department of Plant Sciences Centre for Crop Systems Analysis, Wageningen University, Wageningen, The Netherlands

    Xinyou Yin

  2. Department of Plant Sciences Centre for Crop Systems Analysis, Wageningen University, Wageningen, The Netherlands

    Paul C. Struik

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Yin, X., Struik, P.C., Gu, J., Wang, H. (2016). Modelling QTL-Trait-Crop Relationships: Past Experiences and Future Prospects. In: Yin, X., Struik, P. (eds) Crop Systems Biology. Springer, Cham. https://doi.org/10.1007/978-3-319-20562-5_9

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