Genotype × environment interactions in pig breeding programmes. III. Environmental effects and genetic parameters in on-farm test

Merks, J.W.M.

doi:10.1016/0301-6226(88)90003-6

Cited by 15 publications

(10 citation statements)

References 10 publications

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“…The value found agrees with results reported by Smith (1984) but is smaller than the values of 10 to 20% reported by other authors (Merks, 1988;Van Diepen and Kennedy, 1989;Keele et al, 1991;Haley and Lee, 1992;Hofer et al, 1992a).…”

Section: Geneticsupporting

confidence: 86%

“…The estimates for h: and h; for BF agree with those from several studies (Savoie and Minvielle, 1988, for Large White pigs; Van Diepen and Kennedy, 1989, for Canadian pigs tested on-farm; Long et al, 1990;McKay, 1990), but some other studies found smaller values at approximately .27 (Merks, 1988;Van Diepen and Kennedy, 1989, for station-tested pigs; Kaplon et al, 1991a bhf = heritability for direct animal effects; l & = heritability for maternal effects; a, , , / < = covariance between direct and maternal genetic effects as a proportion of phenotypic variance; ro,m = correlation between direct and maternal genetic effects; h; = heritability of the total genetic contribution of the animal (total heritability); c2 = relative contribution of the permanent environmental effects of sow (for reproductive traits) or litter (for growth traits) and 4 = phenotypic variance.…”

Section: Geneticsupporting

confidence: 86%

“…The estimate of hi, approximately .24, is larger than that found in other studies of pigs tested on-farm (Merks, 1988(Merks, , 1989Hofer et al, 1992a) or in experimental herds (Keele et al, 19911, for which estimates varying from .12 to .16 were found, but is close to values reported by Savoie and Minvielle ( 19881, Long et al ( 19 901, and Kaplon et al (1991a). McKay (1990) found a realized heritability of .38 for Canadian Yorkshire pigs.…”

Section: Geneticsupporting

confidence: 52%

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Animal model estimation of genetic parameters and response to selection for litter size and weight, growth, and backfat in closed seedstock populations of large white and Landrace swine2

Ferraz

Johnson

1993

Journal of Animal Science

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ABSTRACTranged from .01 to .14 for NBA, from .18 to .22 for LW, from .23 to .34 for ADG, and from .40 to .50 for BF. Maternal genetic variance was from 2.4 to 3.8% of phenotypic variance in NBA, from 1.2 to 3.6% in LW, from .5 to 1.5% in ADG, and from 1.9 to 3.4% in BF.The correlation between o and m was -.07 for NBA, -.25 for LW, -.34 for ADG, and -.26 for BF. Permanent environmental effects explained from 16 to 17% of total phenotypic variation for NBA and from 1.6 to 5.3% for LW. Approximately 7% of the variation in ADG and 5% in BF was due to litter environmental effects. Genetic trends were .012 pigsiyr for NBA, .25 kg/yr for LW, 5.91 g/yr for ADG, and -.063 mmlyr for BF.

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Section: Geneticsupporting

confidence: 86%

Section: Geneticsupporting

confidence: 86%

Section: Geneticsupporting

confidence: 52%

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Animal model estimation of genetic parameters and response to selection for litter size and weight, growth, and backfat in closed seedstock populations of large white and Landrace swine2

Ferraz

Johnson

1993

Journal of Animal Science

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“…We thus simply refer to it as SD throughout the rest of this text. In a few instances, SD was calculated from phenotypic means published in companion papers (Havenstein et al 1988a,b; Merks 1988a; Singh et al 1989; Simons and Roff 1994, see Appendix S1)…”

Section: Methodsmentioning

confidence: 99%

Sex-Specific Genetic Variance and the Evolution of Sexual Dimorphism: A Systematic Review of Cross-Sex Genetic Correlations

2010

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The independent evolution of the sexes may often be constrained if male and female homologous traits share a similar genetic architecture. Thus, cross-sex genetic covariance is assumed to play a key role in the evolution of sexual dimorphism (SD) with consequent impacts on sexual selection, population dynamics, and speciation processes. We compiled cross-sex genetic correlations (r MF ) estimates from 114 sources to assess the extent to which the evolution of SD is typically constrained and test several specific hypotheses. First, we tested if r MF differed among trait types and especially between fitness components and other traits. We also tested the theoretical prediction of a negative relationship between r MF and SD based on the expectation that increases in SD should be facilitated by sex-specific genetic variance. We show that r MF is usually large and positive but that it is typically smaller for fitness components. This demonstrates that the evolution of SD is typically genetically constrained and that sex-specific selection coefficients may often be opposite in sign due to sub-optimal levels of SD. Most importantly, we confirm that sex-specific genetic variance is an important contributor to the evolution of SD by validating the prediction of a negative correlation between r MF and SD.

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“…Independentemente do modelo, as estimativas de m 2 e c 2 foram bastante semelhantes para as três características. As estimativas de r gm para IF95 e ND95 foram zero, enquanto que para GMD esta foi maior em magnitude (-0,45) que a observada para a raça Landrace, embora a consideração desta covariância no modelo de análise não contribuiu para a redução significativa do -2 ln L. MERKS (1988), HOFER et al (1992 e BRAZÃO (1997) relataram estimativas de h 2 para GMD inferiores às observadas neste trabalhando utilizando-se o modelo 2. Já estimativas similares foram verificadas por KERR e CAMERON (1996) e BRANDT e TÄUBERT (1998).…”

Section: Resultsunclassified

Comparação de Diferentes Modelos para Avaliação Genética de Características de Desempenho Pós-desmama em Suínos

Pita

Albuquerque

2001

R. Bras. Zootec.

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RESUMO -O objetivo deste trabalho foi avaliar diferentes modelos em que os efeitos aleatórios de leitegada e genético materno (correlacionado ou não com o efeito genético aditivo direto) foram adicionados em seqüência ao efeito aleatório genético aditivo direto. Foram utilizados registros de desempenho de 17.563 animais Landrace (LD) e 8679 Large White (LW), submetidos a teste de granja. A comparação dos modelos e a significância de cada efeito adicionado foi realizada por intermédio do teste da Razão de Verossimilhança. Os componentes de variância foram estimados pelo método da Máxima Verossimilhança Restrita. Para a raça LD o melhor modelo incluiu os efeitos genéticos direto e materno, além do efeito de leitegada. Para a raça LW o melhor modelo incluiu os efeitos genético direto e de leitegada. As estimativas de herdabilidade para ganho de peso médio diário, idade ao final do teste e número de dias de permanência no teste foram, respectivamente, 0,28, 0,24 e 0,24 para a raça LD, e 0,28, 0,27 e 0,23 para a raça LW. O efeito de leitegada foi entre 0,08 e 0,12 para ambas as raças. O efeito materno na raça LD foi de magnitude muito pequena (0,01 a 0,03). As correlações entre os efeitos genéticos direto e materno foram nulas ou negativas.Palavras-chave: efeito de leitegada, efeito materno, ganho de peso médio diário, idade ao final do teste ABSTRACT -The aim of this work was to evaluate different models in which the random effects of litter and maternal genetic (correlated or not with the direct additive genetic effect) were added in sequence to the direct additive genetic random effect. There were on farm records of 17,563 Landrace (LD) and 8679 Large White (LW) animal. The comparison of the models and significance levels of each effect added were determined by the Likelihood Ratio test. Variance components were estimated using the Restricted Maximum Likelihood method. For LD breed the best model included the direct and maternal genetic effects, besides the litter effect. For the LW breed the best model included the direct genetic and litter effects. Heritability estimates of average daily gain, off-test age, and number of days on test were, respectively, 0.28, 0.24, and 0.24 for LD breed, and 0.28, 0.27, and 0.23 for LW breed. The litter effect was between 0.08 and 0.12 for both breeds. The maternal effect in LD breed was of small magnitude (0.01 to 0.03). Correlations between direct and maternal genetic effects were null or negative.

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Genotype × environment interactions in pig breeding programmes. III. Environmental effects and genetic parameters in on-farm test

Cited by 15 publications

References 10 publications

Animal model estimation of genetic parameters and response to selection for litter size and weight, growth, and backfat in closed seedstock populations of large white and Landrace swine2

Animal model estimation of genetic parameters and response to selection for litter size and weight, growth, and backfat in closed seedstock populations of large white and Landrace swine2

Sex-Specific Genetic Variance and the Evolution of Sexual Dimorphism: A Systematic Review of Cross-Sex Genetic Correlations

Comparação de Diferentes Modelos para Avaliação Genética de Características de Desempenho Pós-desmama em Suínos

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