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Triticeae Genomics and Genetics 2013, Vol.4, No.2, 3
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Research Report Open Access
Genetic Parameters for Grain Yield and Its Components in Oat
Igor Pires Valério
1
, Claudir Lorencetti
2
, José Antonio Gonzalez da Silva
3
, Henrique de Souza Luche
4
,
Antonio Costa de Oliveira
4
, Fernando Irajá Félix 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
Corresponding author email:
acostol@cgfufpel.org
Triticeae Genomics and Genetics 2013, Vol.4, No.2 doi: 10.5376/ijccr.2013.04.0002
Received: 21 Mar., 2013
Accepted: 26 Mar., 2013
Published: 25 Apr., 2013
Copyright: © 2013 Valério et al., 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.
Preferred citation for this article as:
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)
Abstract
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 Capão do Leão 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.
Keywords
Avena sativa
L., Variance, Allelic and non allelic interactions, Heterosis, Heritability
Background
The understanding of the genetic basis of quantitative
characters has its peak of complexity in grain yield
because the interaction of different yield components
and the environmental effects hamper the direct
selection of the character. In this case, the indirect
selection through yield components is a more efficient
criterion for genetic gain (Novoselovic et al., 2004).
Genetic parameters that can estimate the performance
of quantitative characters with higher accuracy have
been greatly pursued by breeders aiming at a higher
efficiency in the selection process. In this sense,
generation analysis is an important tool for the
estimation of genic effects, besides enabling the
measurement of episthatic effects that interfere in the
expression of the character (Bertan et al., 2009). The
major need for estimating genetic parameters is based
on two reasons: i) to obtain information on the action
of genes involved in the inheritance of characters and
ii) to establish the basis for choosing breeding
methods (Hayes and Thill, 2002).
In measurable characters, the primary genetic questi-
ons are formulated in terms of variance and its
partitioning into components attributable to different
causes (Falconer and Mackay, 1996). The first
partition of genetic variance (σ
G
2
) was determined in
1918, in three components: i) additive variance, due to
average gene effects; ii) dominance variance, due to
the interaction between alleles from the same locus
and iii) episthatic variance, originating from the
interaction between alleles from distinct loci (Fisher,
1984). The analysis of generation parameters has
contributed for the understanding of genetic parame-
ters associated to many important agronomic charact-
ers, leading to gains in selection efficiency. Therefore,
the present work had as objective to estimate the
genetic parameters involved in oat grain yield and its
components through the analyses of different
generations, supplying information for the selection of
high yielding genotypes at early selfing generations.
1 Results
A significant difference between all parents (P
1
and
P
2
), individually evaluated for the three target
characters, except for CR2 (UPF 16/UFRGS 7) and