Genetic and phenotypic parameter estimates for growth traits in Boer goat

Zhang, Chunyan; Zhang, Ying; Xu, Deqing; Li, Xiang; Su, Jie; Yang, Liguo

doi:10.1016/j.livsci.2008.12.010

Cited by 66 publications

(93 citation statements)

References 30 publications

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“…Moderate estimate of direct heritability suggests further scope for improvement due to selection in the flock for higher birth weight. 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).…”

Section: Resultssupporting

confidence: 89%

“…Similar m 2 estimate to our current study was reported earlier by Maghsoudi et al (2009), Shaat andMaki-Tanila (2009) and Supakorn and Pralomkarn (2009). However, higher estimate was reported by Kantanamalakul et al (2008) for mixed goat population and Zhang et al (2008, Zhang et al 2009) for Boer goats. Column in italics represents estimates from best model as per LRT a s 2 a , s 2 m , s 2 c , s 2 e and s 2 p are additive direct, maternal direct genetic, maternal permanent environmental, residual variance and phenotypic variance, respectively; h 2 is heritability; m 2 is σ m 2 /s 2 p ; c 2 is s 2 c /s 2 p ; t m is maternal across year repeatability for ewe performance; h t 2 is total heritability and log L is log likelihood for the model obtained from DFREML (Meyer 2000) b Indicates that the approximation used to define standard errors of parameter estimates failed…”

Section: Resultsmentioning

confidence: 72%

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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: Resultssupporting

confidence: 89%

Section: Resultsmentioning

confidence: 72%

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

show abstract

“…Three month weight had negative phenotypic correlation with 12MWT probably could be due to environmental and managemental variations. This is in agreement with the results of Miraei et al (2007) and Zhang et al (2009). Phenotypic correlations of 12MWT with other traits were positive except for 3MWT.…”

Section: Phenotypic Correlationssupporting

confidence: 93%

Influence of genetic and non genetic factors on growth traits of Bharat Merino sheep in sub-temperate climate of Kodai hills of Tamil Nadu, India

Mallick

Pourouchottamane

Rajapandi

et al. 2016

IJAR

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In the present study, the data on 1649 Bharat Merino (BM) lambs; progeny of 144 sires over the year from 2000 to 2014 available at Southern Regional Research Centre (SRRC), Central Sheep and Wool Research Institute, Mannavanur were considered for the analysis. The different economic growth traits used for the analysis were birth weight (BWT), weaning weight (3MWT), 6 month weight (6MWT), 12 month weight (12MWT) and greasy fleece yield (GFY). The overall leastsquare means for weights (in kg) were 3.28±0.02, 19.08±0.23, 25.00±0.35, 34.79±0.59 and 2.13±0.07 for BWT, 3MWT, 6MWT, 12MWT and GFY respectively. Different non genetic factors such as year, sex, type of birth and dam's age had significant (P<0.01) influence on BWT and 3MWT. Season influenced the BWT (P<0.05) while it had no significant effect on 3MWT. Six month weight was also significantly (P<0.05) influenced by all non-genetic factors taken under present study. Twelve month weight was significantly affected by year (P<0.01), sex and season (P<0.05). Similarly, analysis of variance showed that the year, sex of the lambs (P<0.01) and season (P<0.05) were important sources of variation on GFY of Bharat Merino sheep. Lambs born single had higher values of BWT and 3MWT than that of the lambs born as twins. The trend of the increase in BWT and 3MWT of the lambs is being observed up to the period when the age of their corresponding dams is 4-5 years. The findings of the present study showed that non -genetic factors play an important role in the expression of genetic potential in the lambs as well as growth performance of Bharat Merino sheep under sub temperate conditions of Kodai hills of Tamil Nadu, India. The genetic parameters estimated of 6MWT indicate that it is most suitable for use as selection criterion. Improvement of body weight of BM sheep seems feasible in selection programs, as some of the related traits are moderately heritable and those traits specially are well correlated, which could suggest that these traits are useful in selection programs.

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“…Genetic merit for growth of meat producing animals is generally assessed treating records taken at different ages, or ranges of ages, as different traits [5,6] . Zhang et al [7] reported that the mean values and standard errors of direct additive heritability estimates calculated with the optimum model were 0.17±0.07, 0.22±0.08, 0.07±0.07, 0.10±0.08, 0.30±0.12 and 0.08±0.10 for birth weight, body weight at 90 days, average daily gains from birth to 90 days, body weight at 300 days, average daily gains from birth to 300 days and average daily gains from 90 to 300 days, respectively for Boer goat. Janssens and Vandepitte [8] showed that heritability of body measurements were in the range of 0.26-0.57 and genetic correlations between these traits were high for Belgian Bleu du Maine, Suffolk and Texel sheep.…”

Section: Traditionally Traits That Are Measured In Time Arementioning

confidence: 99%

Saanen Oğlaklarında Büyüme Özellikleri İçin Genetik Parametre Tahminleri

Önder¹,

Şen²,

Takma³

et al. 2015

Kafkas Univ Vet Fak Derg

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Genetic parameters of test day (from birth to sixth month) body weight and body size parameters of Saanen kids were estimated by random regression with third order Legendre polynomial. The analyses were applied to 2673 test day records of 382 Saanen kids (Twin = 328; Single = 54; Female = 204; Male = 178) in a private dairy goat farm in Samsun, at the black Sea region of Turkey. Permanent environmental variances were static for height at sacrum, height at withers and chest depth, increased for body weight and body length on time. Heritability values ranged from 0.2679 to 0.6135 for body weight and Height at withers. Genetic correlations changed between 0.725 and 0.979 in all traits. The positive high genetic correlations among traits suggested that selection for any one of these traits would result in considerable positive change in other traits. Keywords: Saanen kids, Heritability, Growth, Genetic parameters Saanen Oğlaklarında Büyüme Özellikleri İçin Genetik Parametre Tahminleri ÖzetSaanen oğlaklarının test günü canlı ağırlığı ve vücut ölçülerinin genetik parametreleri random regresyon ile üçüncü dereceden Legendre polinomu kullanılarak tahmin edilmiştir. Analizler, Türkiye'nin Karadeniz bölgesinde, Samsun'daki özel bir süt keçi çiftliğinde yetiştirilen 382 adet Saanen oğlağına (İkiz = 328; Tekiz = 54; Dişi = 204; Erkek =178) ait 2673 test günü (doğumdan altıncı aya kadar) kayıtlarına uygulanmıştır. Kalıcı çevre varyansları, sağrı yüksekliği, cidago yüksekliği ve göğüs derinliği için durağan iken vücut ağırlığı ve vücut uzunluğu için zamanla yükselmiştir. Kalıtım derecesi değerleri vücut ağırlığı ve cidago yüksekliği için 0.2679 ile 0.6135 arasında değişim göstermiştir. Genetik korelasyonlar tüm özelliklerde 0.725 ile 0.979 arasında değişmektedir. Özellikler arasındaki pozitif yüksek genetik korelasyonlar bu özelliklerden herhangi biri için yapılacak seleksiyonun diğer özellikler için de önemli bir ilerleme sağlanacağını göstermektedir.

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Genetic and phenotypic parameter estimates for growth traits in Boer goat

Cited by 66 publications

References 30 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

Influence of genetic and non genetic factors on growth traits of Bharat Merino sheep in sub-temperate climate of Kodai hills of Tamil Nadu, India

Saanen Oğlaklarında Büyüme Özellikleri İçin Genetik Parametre Tahminleri

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