Evaluation of the performance of the Kenya Dual Purpose Goat composites: Additive and non-additive genetic parameters

Mugambi, J.N.; Wakhungu, JW; Inyangala, B.O.; Muhuyi, W. B.; Muasya, T. K.

doi:10.1016/j.smallrumres.2006.10.001

Cited by 32 publications

(27 citation statements)

References 20 publications

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“…Our h 2 estimate for BWT was in accordance with the estimates obtained by using simple animal model (model 1) by Al-Shorepy et al (2002) for Emirati goats (0.30), Rashidi et al (2008) for Markhoz goats (0.35±0.04), Zhang et al (2008) for Boer goats (0.30±0.06), Kantanamalakul et al (2008) for mixed goat population (0.30±0.04) and Zhang et al (2009) for Boer goats (0.30±0.06). Current Estimate is higher than reports by Yalcin et al (1989) and Gerstmayr and Horst (1995) in Angora goats (0.00 and 0.02), Schoeman et al (1997) for Boer goats (0.16), Mugambi et al (2007) in the Kenya dual-purpose goats (0.13), Boujenane and El Hazzab (2008) for Draa goats (0.16), Roy et al (2008) for Jamunapari goats (0.12), Shaat and Maki-Tanila (2009) for Zairabi goats (0.10), and Maghsoudi et al (2009) for Iranian Cashmere goats (0.20). Higher estimate than current study was reported by Mourad and Anous (1998) in common African and Alpine crossbred goats (0.68), Portolano et al (2002) in Sicilian Girgentana goat (0.49), and Bosso et al (2007) in Dwarf goats (0.50).…”

Section: Resultscontrasting

confidence: 63%

Estimates of (co)variance components and genetic parameters for growth traits in Sirohi goat

Gowane

Chopra

Prakash

et al. 2010

Trop Anim Health Prod

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Data were collected over a period of 21 years (1988-2008) to estimate (co)variance components for birth weight (BWT), weaning weight (WWT), 6-month weight (6WT), 9-month weight (9WT), 12-month weight (12WT), average daily gain from birth to weaning (ADG1), weaning to 6WT (ADG2), and from 6WT to 12WT (ADG3) in Sirohi goats maintained at the Central Sheep and Wool Research Institute, Avikanagar, Rajasthan, India. Analyses were carried out by restricted maximum likelihood, fitting six animal models with various combinations of direct and maternal effects. The best model was chosen after testing the improvement of the log-likelihood values. Heritability estimates for BWT, WWT, 6WT, 9WT, 12WT, ADG1, ADG2, and ADG3 were 0.39 ± 0.05, 0.09 ± 0.03, 0.06 ± 0.02, 0.09 ± 0.03, 0.11 ± 0.03, 0.10 ± 0.3, 0.04 ± 0.02, and 0.01 ± 0.01, respectively. For BWT and ADG1, only direct effects were significant. Estimate of maternal permanent environmental effect were important for body weights from weaning to 12WT and also for ADG2 and ADG3. However, direct maternal effects were not significant throughout. Estimate of c (2) were 0.06 ± 0.02, 0.03 ± 0.02, 0.06 ± 0.02, 0.05 ± 0.02, 0.02 ± 0.02, and 0.02 ± 0.02 for 3WT, 6WT, 9WT, 12WT, ADG2, and ADG3, respectively. The estimated repeatabilities across years of ewe effects on kid body weights were 0.10, 0.08, 0.05, 0.08, and 0.08 at birth, weaning, 6, 9, and 12 months of age, respectively. Results suggest possibility of modest rate of genetic progress for body weight traits and ADG1 through selection, whereas only slow progress will be possible for post-weaning gain. Genetic and phenotypic correlations between body weight traits were high and positive. High genetic correlation between 6WT and 9WT suggests that selection of animals at 6 months can be carried out instead of present practice of selection at 9 months.

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Section: Resultscontrasting

confidence: 63%

Estimates of (co)variance components and genetic parameters for growth traits in Sirohi goat

Gowane

Chopra

Prakash

et al. 2010

Trop Anim Health Prod

View full text Add to dashboard Cite

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“…Information on heritability is essential for planning efficient breeding programs and for predicting response to selection (Falconer 1986). Heritability estimates for birth weight in the present study ranged between 0.15 and 0.28 which are higher than those reported by Mugambi et al (2007) and Roy et al (2008). On the other hand heritability estimates for body weight at various ages ranged from low to high (0.04-0.54).…”

Section: Resultscontrasting

confidence: 85%

“…On the other hand heritability estimates for body weight at various ages ranged from low to high (0.04-0.54). The lowest estimate (0.04) was for body weight at 1st month of age (from sire component) similar to the results of Mugambi et al (2007); while the highest heritability estimates (0.54) was for body weight at 4th month of age (from dam component). The result was nearly agreed with that obtained by Snyman & Olivier (1999) for Angora goat in South Africa.…”

Section: Resultssupporting

confidence: 68%

“…The result shows the possibility of genetic selection and improvement within individual and family selection in the breed. It could also be noticed that post-weaning heritability estimates for body weights were higher than pre-weaning unlike the estimate obtained by Mugambi et al (2007) for Kenya dual purpose goat composites. The higher heritability estimates for body weight from dam component compared to sire component of variance in this study could be attributed to maternal effect, presence of large additive genetic variance and covariance and less environmental variance and covariance.…”

Section: Resultsmentioning

confidence: 78%

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Genetic variability in the body weight of Sudan desert goats

2011

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Data on 586 kids from 30 bucks and 120 does of Sudan desert goats was used in the present study. The study aimed at investigating the genetic variations of body weight at various ages. Range of heritability estimates for body weight from birth to 6th month was 0.04-0.54. The estimates from dam component ranged 0.28-0.68 which was higher than that from sire component estimates. The genetic correlations for body weight at various ages were substantially high, ranged from 0.51-0.99 as sire, dam and dam nested in sire components. Phenotypic correlations of body weight at various ages ranged from 0.43-0.99 with differences being significant (P<0.01). Low to high environmental correlations (0.10-0.33) were encountered as dam component. However, the random effect of sire was found to be significantly (P<0.01) positively correlated. Keywords

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“…Bittante et al (1996) verificaram apenas o efeito significativo da heterose materna em ovinos mestiços das raças Lamon e Finnsheep. Em caprinos mestiços das raças Anglo-nubiana, Galla e Toggenburg, Mugambi et al (2007) observaram o efeito da heterose individual. A diferença dos genes das raças Poll Dorset e Somalis Brasileira proporcionaram desvios significativos de 1,02 kg e -5,46 kg, respectivamente, em relação aos genes da raça Santa Inês (Tabela 1, modelo 1a).…”

Section: Resultsunclassified

Efeitos genéticos aditivos e não-aditivos em características de crescimento, reprodutivas e habilidade materna em ovinos das raças Santa Inês, Somalis Brasileira, Dorper e Poll Dorset

et al. 2010

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RESUMO -Efeitos genético aditivo, de dominância e de recombinação em cruzamentos entre as raças Santa Inês (SI), Somalis Brasileira (So), Dorper (Do) e Poll Dorset (Po) foram estimados para as características de crescimento, reprodutivas e de habilidade materna. Os dados foram obtidos da Gaasa e Alimentos LTDA, uma empresa que participa do Programa de ABSTRACT -Additive genetic, dominance and recombination effects in breedings among Santa Inês (SI), Brazilian Somali (So), Dorper (Do) and Poll Dorset (Po) breeds were estimated for growth, reproductive and maternal hability traits. Data were obtained from Gaasa e Alimentos LTDA, a company that participates on the Programa de Melhoramento Genético de Caprinos e Ovinos (GENECOC) coordinated by Embrapa Caprinos. Initially, 3,573 records were analyzed using the MIXED procedure of the statistical package SAS (1999). The analyses were carried out considering the effects of additive genetic difference among breeds, dominance and recombination effects. Birth weight was mainly influenced by additive genetic effects, while weaning weight and pre-weaning weight gain were influenced by non-additive genetic effects. Direct heritability estimates for birth weight was moderate indicating that there is genetic variability believable to be exploited by individual selection. In the same way, heritability estimates for the traits age at first lambing and litter total weight at birth indicated the existence of genetic variability to obtain genetic gains through selection. Genes of the Poll Dorset and Dorper breeds had an important role for a better growth performance, therefore, these breeds can be indicated as sires in the terminal breeds. The use of F1 Santa Inês × Brazilian Somali females on crossbreeding with Poll Dorset rams can lead to a better reproductive efficiency.

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Evaluation of the performance of the Kenya Dual Purpose Goat composites: Additive and non-additive genetic parameters

Cited by 32 publications

References 20 publications

Estimates of (co)variance components and genetic parameters for growth traits in Sirohi goat

Estimates of (co)variance components and genetic parameters for growth traits in Sirohi goat

Genetic variability in the body weight of Sudan desert goats

Efeitos genéticos aditivos e não-aditivos em características de crescimento, reprodutivas e habilidade materna em ovinos das raças Santa Inês, Somalis Brasileira, Dorper e Poll Dorset

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