Bias in the prediction of genetic gain due to mass and half-sib selection in random mating populations

Viana, José Marcelo Soriano; Faria, Vinícius Ribeiro; Silva, Admilson da Costa e

doi:10.1590/s1415-47572009005000064

Cited by 5 publications

(5 citation statements)

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“…If the population is structured in full-sib families, this function is biased when there are allelic and non-allelic gene interaction (dominance and epistasis). Assuming Hardy-Weinberg equilibrium and absence of epistasis, the mean of the population obtained after selection can be expressed as (Viana et al 2009)…”

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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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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“…Assuming population in Hardy–Weinberg equilibrium the mean of the population obtained by mass selection on only one gender can be expressed as (Viana et al. 2009): …”

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confidence: 99%

“…where M is the mean of the base population and E ( A s ) is the expectation of the additive genetic values of the selected individuals. In the case of among half‐sib selection, with recombination of all progenies, the mean of the improved population can be expressed as (Viana et al. 2009): …”

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Multi‐trait BLUP in half‐sib selection of annual crops

Viana¹,

Sobreira²,

Resende

et al. 2010

Plant Breeding

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The Best Linear Unbiased Prediction (BLUP) methodology, which is widely used in animal and forestry genetic evaluation, can also be applied to annual crop breeding. The objective of this study was to compare the accuracy and efficiency of among-and within-half-sib family selection through the use of single-and multi-trait BLUP, and BLUE/ANOVA methods. Expansion volume and yield data from two recurrent selection cycles of a popcorn population were analyzed. Progeny tests were designed as a lattice. To maximize accuracy of the prediction of breeding values, the BLUP analyses included phenotypic values of the two cycles. All BLUP analyses were performed using the ASReml software. The multi-trait BLUP method demonstrated greater accuracy and efficiency in family selection. In the case of within-family selection, both accuracy and efficiency of multi-and single-trait BLUP methods were equivalent. The selection efficiency of the multi-trait BLUP was dependent on the estimated genetic parameters, particularly the difference between the genetic and environmental correlations of the traits.

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“…I1 showed the highest selection gain (4.87) based on the first 10 classified clones (Table 3). Selection gain refers to the increase in the general average of the original population, and it depends on heritability and selection differential (Viana, Faria, & Silva, 2009). Thus, despite the high 𝐶𝑉, I1 seems to be a trait with the most genetic variability, and selection for this trait combined with rust resistance can lead to genotypes with early production, which would enable fruit supply to the consumer market before the production peak, resulting in greater returns to producers and satisfaction to consumers in terms of quality.…”

Section: Resultsmentioning

confidence: 99%

Genetic parameters and gains with the selection of fig tree genotypes

et al. 2022

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Fig tree (Ficus carica L., Moraceae), which originated in the Mediterranean Basin, is one of the many fruit trees grown in Brazil, with ‘Roxo-de-Valinhos’ being the exclusively used cultivar. In this context, research aimed at the improvement of this species to develop highly resistant and adaptable cultivars is paramount. Thus, the present study aimed to maintain fig accessions in an in vivo active germplasm bank (AGB) at the Faculty of Engineering of Ilha Solteira (FEIS), São Paulo State University (UNESP), as well as to characterize the agronomic traits of these accessions based on quantitative descriptors of genetic parameters and observe gains with the selection of specific genotypes to illustrate the AGB in terms of genetic variability. A total of 36 F. carica genotypes were evaluated in the field at the Teaching, Research and Extension Farm (FEPE) of the FEIS, UNESP. Qualitative traits, fruit parameters (e.g., insertion of the first fruit, fruit stalk length, fruit length, fruit diameter, and average fruit mass), and accumulated plant dry mass were measured. In addition, genetic parameters, variance components, and descriptive statistics, including genetic and environmental variances, heritability and average heritability of clones, coefficients of genotypic and environmental variation and their ratio ( ), general average, and selection gain, were evaluated. The selected fig tree accessions showed genetic variability in the assessed traits, exhibiting good heritability and achieving selection gains. For instance, the first 10 classified clones exhibited a heritability of 80.2% and achieved a selection gain of 98% for accumulated plant dry mass. Therefore, the maintenance of in vivo AGBs allows agronomic studies, offering promising results for continuing the breeding programs and preserving the genetic variability of species.

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Bias in the prediction of genetic gain due to mass and half-sib selection in random mating populations

Cited by 5 publications

References 12 publications

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

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

Multi‐trait BLUP in half‐sib selection of annual crops

Genetic parameters and gains with the selection of fig tree genotypes

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