Abstract

The objective of this study was to assess genotype by environment interaction for 1000-kernel weight in spring barley lines grown in South Poland by the additive main effects and multiplicative interaction model. The study comprised of 32 spring barley (Hordeum vulgare L.) genotypes (two parental genotypes—breeding line 1 N86 and doubled haploid (DH) line RK63/1, and 30 DH lines derived from F1 hybrids), evaluated at six locations in a randomized complete block design, with three replicates. 1000-kernel weight ranged from 24.35 g (for R63N/42 in 2011) to 61.46 g (for R63N/18 in 2008), with an average of 44.80 g. AMMI analyses revealed significant genotype and environmental effects as well as GE interaction with respect to 1000-kernel weight. In the analysis of variance, 16.86% of the total 1000-kernel weight variation was explained by environment, 32.18% by differences between genotypes, and 24.50% by GE interaction. The lines R63N/61, R63N/22, and R63N/1 are recommended for further inclusion in the breeding program because their stability and the highest averages of 1000-kernel weight. The total additive effect of all genes controlling the trait and the total epistasis effect of 1000-kernel weight were estimated. Additive gene action effects based on DH lines were always larger that this parameter estimated on the basis of parental lines. Estimates of additive gene action effects based on the all DH lines were significantly larger than zero in each year of study. Epistasis effects based on all DH lines were statistically significant in 2011 and 2013.

Highlights

  • Environmental conditions might possess various influence on genotype; certain genotype responses could differ depending on various environment-forming genotype-byenvironment (GE) interaction

  • The study comprised of 32 spring barley (Hordeum vulgare L.) genotypes (two parental genotypes—breeding line 1 N86 and doubled haploid (DH) line RK63/1, and 30 DH lines derived from F1 hybrids), evaluated at six locations in a randomized complete block design, with three replicates. 1000kernel weight ranged from 24.35 g to 61.46 g, with an average of 44.80 g

  • The material for the studies covered 32 spring barley (Hordeum vulgare L.) genotypes: two parental genotypes, and 30 DH lines derived from F1 hybrids

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Summary

Introduction

Environmental conditions might possess various influence on genotype; certain genotype responses could differ depending on various environment-forming genotype-byenvironment (GE) interaction. J Appl Genetics (2019) 60:127–135 statistical methods for estimating the manner of genotype reaction to diverse environmental condition (Neyman 1932; Yates and Cochran 1938; Mather and Jones 1958; Finlay and Wilkinson 1963; Eberhart and Russell 1966; Wricke and Weber 1986). The calculation of stability articulated in GE interaction with the Fstatistic value application can be traced back to the methods initially developed by Caliński (1960) and in parallel by Wricke (1962), whereas the F-statistic for the regression, measured as the determination of adaptability, is connected to the idea of Finlay and Wilkinson (1963) and Eberhart and Russell (1966). Response of genotypes on unstable abiotic factors can be assessed by performing research within a number of years and/or in diverse localization, while the result of biotic stresses (e.g., viral, bacterial, or fungal pathogens) could be studied predominantly with artificial infection application

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