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Paulo C. Rodrigues

Summary

Genotype-by-environment interaction (GEI) is frequently encountered in multi-environment trials, and represents differential responses of genotypes across environments. With the development of molecular markers and mapping techniques, researchers can go one step further and analyse the whole genome to detect specific locations of genes which influence a quantitative trait such as yield. Such a location is called a quantitative trait locus (QTL), and when these QTLs have different expression across environments we talk about QTL-by-environment interaction (QEI), which is the basis of GEI. Good understanding of these interactions enables researchers to select better genotypes across different environmental conditions, and consequently to improve crops in developed and developing countries. In this paper we present an overview of statistical methods and models commonly used to detect and to understand GEI and QEI, ranging from the simple joint regression model to complex eco-physiological genotype-to-phenotype simulation models.

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Jan Bocianowski, Kamila Nowosad, Alina Liersch, Wiesława Popławska and Agnieszka Łącka

content and chemoprotective potency of broccoli. Plant Breeding 123: 60-65. Friedt W., Snowdon R.J. (2009): Oilseed rape. In: Vollmann J., Rajcan I. (eds.) Handbook of plant breeding. Oil crops, vol. 4. Springer, New York: 91-126. Gauch H.G., Zobel R.W. (1990): Imputing missing yield trial data. Theoretical and Applied Genetics 79: 753-761. Howell P.M., Sharpe A.G., Lydiate D.J. (2003): Homoeologous loci control the accumulation of seed glucosinolates in oilseed rape (Brassica napus). Genome 46: 454

Open access

Bogna Zawieja, Sylwia Lewandowska, Tomasz Mikulski and Wiesław Pilarczyk

importance of genotypic and interaction effects in plant breeding using the example of winter wheat]. Buletyn IHAR 240/241:13-32. Werner R., Lunwen Q., Voss-Fels K.P., Abbadi A., Leckband G., Frisch M., Snowdon R. (2018): Genome-wide regression models considering general and specific combining ability predict hybrid performance in oilseed rape with similar accuracy regardless of trait architecture. Theoretical and Applied Genetics 131: 299-317. Węgrzyn S. (2003): Ocena genotypowo-statystyczna wyników doświadczeń polowych z rodami hodowlanymi na przykładzie