Dominance, epistasis, heritabilities and expected genetic gains

Viana, José Marcelo Soriano

doi:10.1590/s1415-47572005000100012

Cited by 15 publications

(11 citation statements)

References 17 publications

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“…The additive value is an almost perfect indicator of the superiority of the common parent with regard to the number of favorable genes. However, the nonadditive genetic values do not correlate with the number of favorable genes (Viana, 2005). In noninbred populations, E ( AA ) = 0 and Cov( A , AA ) = 0.…”

Section: Methodsmentioning

confidence: 99%

Best Linear Unbiased Prediction and Family Selection in Crop Species

et al. 2011

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Best linear unbiased prediction (BLUP) is the method primarily used for genetic evaluation in animal and forest species breeding. The objective was to present theory and application of BLUP in family selection. Statistical models aim to predict the breeding values of parents of half-sib and inbred families and the individual or average additive values of parents of full-sib families. We analyzed the expansion volume (EV) and grain yield of half-and full-sib families and of inbred progeny from the Viçosa popcorn {Zea mays L. subsp. mays [syn. Zea mays L. subsp. everts (Sturtev.) Zhuk.]} population in two selection cycles. The noninbred families were evaluated in a 14 by 14 simple lattice, and the inbred progeny were assessed in the incomplete block design. The additive-dominant model was fitted for yield of full-sib families of the second cycle and across generations for yield of full-sib families and EV of inbred progeny. Additive x additive epistasis was not significant for EV and yield of half-sib families. Although the predictions of breeding values in the additive and additive-dominant models are positively correlated, different sets of parents were included in the top 10% of breeding values from the two models. Therefore, the additive-dominant model should be fitted wherever possible. J.M.S. Viana and V.RAbbreviations: BLUP, best linear unbiased prediction; EV, expansion volume; MME, mixed model equations; REML, restricted maximum likelihood; UFV, Federal University of Viçosa.I NTRAPOPULATION recurrent selection aims to identify parents that have the hest additive genetic values. Several statistical methods can be used for the estimation or prediction of breeding values, assuming fixed, random, or mixed models, and hased on least squares, maximum likelihood, or Bayesian inference. A flexible and powerful methodology was developed from the combination of the hest linear unbiased prediction (BLUP) method proposed hy Henderson (1974) and the restricted maximum likelihood (REML) method proposed hy Patterson and Thompson (1971). The BLUP method is renowned and is widely used in animal and forestry breeding programs (Piepho et al., 2008). This methodology has only recently become important for genetic evaluation in annual crops breeding. In their review of the application of BLUP in plant breeding, Piepho et al. (2008) described relevant studies with and without inclusion of pedigree information, related to prediction of genotypic or additive genetic values in experiments with or without replications, analysis of genotype X environment interaction, quantitative trait loci mapping, and genetic assessment of pure and inbred lines.

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Section: Methodsmentioning

confidence: 99%

Best Linear Unbiased Prediction and Family Selection in Crop Species

et al. 2011

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“…Although the genotypic value (G) and the additive genetic value (A) are, in general, both positively correlated with the number of favorable genes (N), the correlation of A with N is usually greater or equal (in the absence of dominance) to the correlation of G with N (Viana 2005).…”

Section: Theoretical Aspectsmentioning

confidence: 99%

BLUP for genetic evaluation of plants in non-inbred families of annual crops

et al. 2009

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Best Linear Unbiased Prediction (BLUP) has become the most widely used method for genetic assessment of animal and perennial species, and it is potentially relevant for annual crops. The objective of this study was to assess this method for selection within non-inbred families in recurrent breeding programs. The 'animal model' was fitted. The data were expansion volume (EV) and grain yield of plants in recombination plots of two to three selection cycles in the popcorn population Viçosa, with halfand full-sib progenies. The ASReml program was used to perform the analyses. For both EV and yield the breeding values predicted from the additive and additive-dominant models were highly correlated. Multi-generation BLUP was, in general, more accurate than single-generation analysis. These two methods resulted in highly correlated predicted breeding values. The dominance genetic values predicted from the single-and multi-generation analysis were also highly correlated. The pedigree information reduced the percentage of coincidences among the selected individuals relative to phenotypic selection mainly in the population structured in halfsib families. Based on breeding values predicted by BLUP analysis, the most efficient selection procedure was mass selection.

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“…Additive genetic value is generally the best indicator of the favourable genes present in an individual (Viana ). Additive effects were positive and larger than the dominant genetic effects indicating that the resistant allele was from the parent PG06102.…”

Section: Discussionmentioning

confidence: 99%

“…The bulk segregation analysis approach was utilized earlier in the identification of markers linked to resistance to other fungal diseases of chickpea (Mayer et al 1997, Tiwari et al 1998, Rajesh et al 2002. Additive genetic value is generally the best indicator of the favourable genes present in an individual (Viana 2005). Additive effects were positive and larger than the dominant genetic effects indicating that the resistant allele was from the parent PG06102.…”

Section: Discussionmentioning

confidence: 99%

Identification of resistant sources and DNA markers linked to genomic region conferring dry root rot resistance in chickpea (Cicer arietinum L.)

Talekar

Lohithaswa²,

Viswanatha

2017

Plant Breeding

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A set of 520 chickpea germplasm lines was screened under laboratory conditions using blotter paper technique for reaction to dry root rot caused by Rhizoctonia bataticola (Taub.) Butler. The lines PG06102, BG2094 and IC552137 were identified as resistant for dry root rot. Phenotyping the mapping population consisting of 129 F2:3 progeny derived from the cross L550 × PG06102 during 2013 winter indicated monogenic inheritance of dry root rot resistance. Fifty‐two of 381 simple sequence repeat (SSR) primers polymorphic between the two parents were used to genotype F2 resistant and susceptible bulks prepared on the basis of reaction of F2:3 progeny. Four markers differentiated the resistant and susceptible bulks. All the four polymorphic markers were then assayed on the entire F2 population. Linkage analysis using 129 F2 plants revealed that two markers ICCM0299 and ICCM0120b were co‐segregating with resistance to dry root rot. These two markers appeared to have additive effects on resistance and could be potentially utilized in dry root resistance breeding programme.

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Dominance, epistasis, heritabilities and expected genetic gains

Cited by 15 publications

References 17 publications

Best Linear Unbiased Prediction and Family Selection in Crop Species

Best Linear Unbiased Prediction and Family Selection in Crop Species

BLUP for genetic evaluation of plants in non-inbred families of annual crops

Identification of resistant sources and DNA markers linked to genomic region conferring dry root rot resistance in chickpea (Cicer arietinum L.)

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