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1.
Yi Chuan ; 28(9): 1083-6, 2006 Sep.
Artigo em Chinês | MEDLINE | ID: mdl-16963416

RESUMO

The derivative-free restricted maximum likelihood (DFREML) method was used to compare the differences of genetic parameter estimates of Inner Mongolian Cashmere Goats under two models, which differ in whether maternal genetic effect is taken into account. The differences between the two models were, tested by likelihood ratio test. The results show that maternal genetic effect highly affects live body weight and cashmere thickness while has no significant effect on raw cashmere weight, staple length, fibre diameter and fibre length.


Assuntos
Cabras/genética , Cabras/fisiologia , Mães , , Análise de Variância , Animais , Peso Corporal , Cabras/anatomia & histologia , Funções Verossimilhança , Modelos Biológicos , Fenótipo
2.
Yi Chuan Xue Bao ; 31(6): 578-81, 2004 Jun.
Artigo em Chinês | MEDLINE | ID: mdl-15490875

RESUMO

Using data on early growth traits (including birth weight, weaning weight, daily gain, and yearling weight) of cashmere goat from the Aerbasi White Cashmere Goat Breeding Farm in Inner Mongolia, four different animal models for estimating genetic parameters were compared. The four models differ in the way of handling maternal genetic effect and maternal environmental effect: in model I both maternal genetic and environmental effect were excluded, in model II only maternal genetic effect was included, in model III only maternal environmental effect was included, and in model IV both maternal genetic and environmental effect were included. The variance components under different models were estimated with derivative-free restricted maximum likelihood (DFREML) method using the MTDFREML program. The differences between different models were tested by likelihood ratio test. The results show that both maternal genetic and environmental effect have highly significant effect on birth weight. For weaning weight and daily gain the maternal genetic effect is not significant while the maternal environmental effect is highly significant; for yearling weight the maternal genetic effect is significant while the maternal environmental effect is not.


Assuntos
Cabras/genética , Crescimento/genética , Animais , Modelos Animais , Modelos Estatísticos
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