Igor Pirez Valerio ¹ , Claudir Lorencetti ² , Jose Antonio Gonzalez da Silva ³ , Henrique de Souza Luche ⁴ , Antonio Costa de Oliveira ⁴ , Fernando Iraj� F�lix de Carvalho ⁴

1 Biotrigo Genética Ltda., Rua João Batistti, 71, Passo Fundo, RS, 99050-380, Brazil
2 Alliance One Brasil Tobacco Exporters LTd, Research and Development Department, Rua Thomaz Gonzaga, 666, Vera Cruz, RS, 96880-000, Brazil
3 School of Agronomy, Regional University of Northwest Rio Grande do Sul (UNIJUÍ), Rua do Comércio, 3000, Ijuí, RS, 98700-000, Brazil
4 Plant Genomics and Breeding Center, Eliseu Maciel School of Agronomy, Federal University of Pelotas (UFPel), Gomes Carneiro, 01, Pelotas, RS, mail box 354, 96010-900, Brazil
Author    Correspondence author
Triticeae Genomics and Genetics, 2013, Vol. 4, No. 2   doi: 10.5376/tgg.2013.04.0002
Received: 21 Mar., 2013    Accepted: 26 Mar., 2013    Published: 25 Apr., 2013

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Valério et al., 2013, Genetic Parameters for Grain Yield and Its Components in Oat, Triticeae Genomics and Genetics, Vol.4, No.2 3-11 (doi:10.5376/tgg.2013.04.0002)

The estimate from genetic parameters can represent a strong tool for the understanding of the genetic basis of quantitative characters. Thus, the present work aimed at estimating the genetic parameters involved in the character grain yield and its components, through the analyses of different generations. This strategy should provide tools for the selection of high yielding genotypes at very early selfing generations. The data was obtained from experiments conducted at Cap�o do Le�o County, Rio Grande do Sul State, Brazil, in the years 2002 and 2003. Significant episthatic interactions were found for the character grain yield per plant. The results suggest that specific crosses in oats can lead to high genetic gains in the selection at early generations. Number of panicles per plant and panicle weight present the lowest complexity for estimating genic effects and can be more effectively selected.

Avena sativa L.; Variance; Allelic and non-allelic interactions; Heterosis; Heritability