Response to mass selection  when an identified major gene  is segregating

Pong‐Wong, Ricardo; Woolliams, John

doi:10.1051/gse:19980401

Cited by 18 publications

(28 citation statements)

References 8 publications

(8 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…I), followed by phenotypic selection and then standard QTL selection. The greater terminal response for phenotypic than standard QTL selection agrees with previous studies, which investigated selection on a single identified QTL [9,11,14]. The difference between phenotypic and standard QTL selection was, however, slightly less for two QTL than when their effects were concentrated into one QTL (−4.5% for two QTL compared to −6.1% for one QTL).…”

Section: Maximizing Terminal Responsesupporting

confidence: 88%

Optimal selection on two quantitative trait loci with linkage

2002

View full text Add to dashboard Cite

-A mathematical approach to optimize selection on multiple quantitative trait loci (QTL) and an estimate of residual polygenic effects was applied to selection on two linked or unlinked additive QTL. Strategies to maximize total or cumulative discounted response over ten generations were compared to standard QTL selection on the sum of breeding values for the QTL and an estimated breeding value for polygenes, and to phenotypic selection. Optimal selection resulted in greater response to selection than standard QTL or phenotypic selection. Tight linkage between the QTL (recombination rate 0.05) resulted in a slightly lower response for standard QTL and phenotypic selection but in a greater response for optimal selection. Optimal selection capitalized on linkage by emphasizing selection on favorable haplotypes. When the objective was to maximize total response after ten generations and QTL were unlinked, optimal selection increased QTL frequencies to fixation in a near linear manner. When starting frequencies were equal for the two QTL, equal emphasis was given to each QTL, regardless of the difference in effects of the QTL and regardless of the linkage, but the emphasis given to each of the two QTL was not additive. These results demonstrate the ability of optimal selection to capitalize on information on the complex genetic basis of quantitative traits that is forthcoming. selection / marker-assisted selection / quantitative trait loci / optimization

show abstract

Section: Maximizing Terminal Responsesupporting

confidence: 88%

Optimal selection on two quantitative trait loci with linkage

2002

View full text Add to dashboard Cite

show abstract

“…The detrimental long-term effect was only avoided when the favourable allele was recessive with a large effect [12,15]. The [15]. The [2] and by Manfredi et al [13] where the purpose of the optimisation was to achieve the right emphasis given to the major gene relative to the polygenes for maximising gain without restrictions on inbreeding.…”

mentioning

confidence: 99%

“…Although in these studies the use of the available information on the major gene led to greater total genetic gain during the initial generations of selection, the accumulated response was lower when using genotype information by the time the favourable allele was fixed in both schemes (the scheme using the gene and the scheme ignoring the gene). The detrimental long-term effect was only avoided when the favourable allele was recessive with a large effect [12,15]. The [15].…”

mentioning

confidence: 99%

“…Studies evaluating the use of a major gene in mixed inheritance models for increasing genetic gain in mass selection programmes suggest a conflict between short-and long-term gains [5,6,11,12,15,18]. Although in these studies the use of the available information on the major gene led to greater total genetic gain during the initial generations of selection, the accumulated response was lower when using genotype information by the time the favourable allele was fixed in both schemes (the scheme using the gene and the scheme ignoring the gene).…”

mentioning

confidence: 99%

See 1 more Smart Citation

Potential benefit from using an identified major gene in BLUP evaluation with truncation and optimal selection

Villanueva¹,

Pong‐Wong²,

Grundy³

et al. 1999

Genet. Sel. Evol.

Self Cite

View full text Add to dashboard Cite

show abstract

“…In practice, however, the goal is to maximize gains in current and future generations. Several studies have shown that with selection on QTL, maximization of response in the short term can result in lower cumulative responses in the longer term [10,12,19]. Methods to optimize selection on QTL to maximize a combination of short and longerterm responses have been derived [3,5,16].…”

Section: Introductionmentioning

confidence: 99%

Optimizing purebred selection for crossbred performance using QTL with different degrees of dominance

Dekkers

Chakraborty

2004

Genet. Sel. Evol.

View full text Add to dashboard Cite

-A method was developed to optimize simultaneous selection for a quantitative trait with a known QTL within a male and a female line to maximize crossbred performance from a two-way cross. Strategies to maximize cumulative discounted response in crossbred performance over ten generations were derived by optimizing weights in an index of a QTL and phenotype. Strategies were compared to selection on purebred phenotype. Extra responses were limited for QTL with additive and partial dominance effects, but substantial for QTL with over-dominance, for which optimal QTL selection resulted in differential selection in male and female lines to increase the frequency of heterozygotes and polygenic responses. For overdominant QTL, maximization of crossbred performance one generation at a time resulted in similar responses as optimization across all generations and simultaneous optimal selection in a male and female line resulted in greater response than optimal selection within a single line without crossbreeding. Results show that strategic use of information on over-dominant QTL can enhance crossbred performance without crossbred testing.crossbreeding / selection / quantitative trait loci / marker assisted selection

show abstract

Response to mass selection when an identified major gene is segregating

Abstract: -A deterministic model to predict response with mass selection when a major locus is segregating is presented. The

Cited by 18 publications

References 8 publications

Optimal selection on two quantitative trait loci with linkage

Optimal selection on two quantitative trait loci with linkage

Potential benefit from using an identified major gene in BLUP evaluation with truncation and optimal selection

Optimizing purebred selection for crossbred performance using QTL with different degrees of dominance

Contact Info

Product

Resources

About