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

Gowane, G. R.; Chopra, Ashish; Prakash, Ved; Arora, A. L.

doi:10.1007/s11250-010-9673-4

Cited by 33 publications

(58 citation statements)

References 29 publications

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“…High positive direct genetic correlations were estimated among WW, W8, W12 and W16. Similar correlations were obtained among early body weights for other goat breeds (Bosso et al, 2007;Boujenane & Hazzab, 2008;Zhang et al, 2008;Gowane et al, 2011;Rashidi et al, 2011). The maternal genetic correlations obtained between birth weight and the other body weights were medium to high.…”

Section: Resultssupporting

confidence: 75%

“…No other r am estimates are available in the literature for any traits in Angora goats. Negative correlations were also reported for early body weight in Boer goats (Zhang et al, 2008), Draa goats (Boujenane & Hazzab, 2008), Sirohi goats (Gowane et al, 2011) and Markhoz goats (Rashidi et al, 2011). However, conflicting estimates, pertaining to sign and magnitude, were reported for a wide range of sheep breeds, as summarised by Safari & Fogarty (2003).…”

Section: Resultsmentioning

confidence: 99%

“…Numerous studies have investigated the importance of applying the most appropriate model to estimate (co)variance components and genetic parameters for traits that are influenced by maternal effects in various species and breeds (Gerstmayr, 1991;Hagger & Schneeberger, 1995;Robinson, 1996;Vaez Torshizi et al, 1996;Yazdi et al, 1997;Larsgard & Olesen, 1998;Analla et al, 1999;Lewis & Beatson, 1999;Ligda et al, 2000;Maniatis & Pollott, 2003;Norris et al, 2004;Iwaisaki et al, 2005;Mandal et al, 2006;Miraei-Ashtiani et al, 2007;Boujenane & Hazzab, 2008;Mandal et al, 2008;Van Wyk et al, 2008). There is a dearth of information on the heritability of body weight and growth traits in goats in general (Bosso et al, 2007;Boujenane & Hazzab, 2008;Zhang et al, 2008;Gowane et al, 2011;Rashidi et al, 2011) and in Angora goats specifically, particularly the influence of maternal effects on these traits .…”

Section: Introductionmentioning

confidence: 99%

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Genetic analysis of body weight in South African Angora kids and young goats

Snyman¹

2012

SA J. An. Sci.

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The data used for this study consisted of 27 485 kid records, the progeny of 599 sires and 10 077 dams, and were collected on the 2000-to 2009-born kids of 11 Angora goat studs. Variance and covariance components and ratios pertaining to direct additive genetic variation, maternal additive genetic variation, maternal permanent environmental variation, and the relationship between direct and maternal effects for birth weight (BW; kg), weaning weight (WW; kg) and body weight at 8, 12 and 16 months (W8, W12 and W16; kg) were estimated with the ASReml program. Direct additive heritability estimates of 0.22, 0.20, 0.12, 0.34 and 0.58 were obtained for BW, WW, W8, W12 and W16, respectively. Maternal heritabilities were 0.10, 0.09, 0.03 and 0.06 for BW, WW, W8 and W12, respectively, while maternal environmental effects of 0.13, 0.11, 0.06 and 0.04 were estimated for the latter traits, respectively. An unfavourable correlation of -0.38 was obtained between direct and maternal genetic effects for BW. Low to medium positive direct genetic correlations were estimated between birth weight and body weights recorded at a later stage in life. High positive direct genetic correlations were estimated among WW, W8, W12 and W16. The maternal genetic correlations obtained between birth weight and the other body weights were medium to high. Phenotypic correlations among the traits ranged from low to high. Genetic trends of body weight at different ages indicate that although not many breeders use objective measurement as a selection tool, body weight increased slightly in the 11 studs over the 10-year study period. Since reproduction and body weight should be included in a selection programme for Angora goats, the relationship between the direct and maternal additive effects should be clarified. The importance of a sufficiently structured and related pedigree, especially on the part of the dams and maternal grand dams, has been highlighted in this study. As this is one of the constraints of this data set, data collection in the Angora goat industry should continue until a suitably structured data set has been built up that could be used to estimate multi-trait breeding values for the industry.___________________________________________________________________________________

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Section: Resultssupporting

confidence: 75%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Genetic analysis of body weight in South African Angora kids and young goats

Snyman¹

2012

SA J. An. Sci.

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“…Low to moderate estimates of genetic correlation between the birth and weaning weight were documented by some researchers [12][13][14][15][16][17][18][19][20][21][22][23]. Low phenotypic correlation as found in present study between the two traits were also reported by different researchers [12,17,20,24].…”

Section: Birth Weight and Weaning Weightsupporting

confidence: 75%

“…Moderate genetic correlations between the two traits were also reported by many other workers in different goat breeds around the world [9,17,19,22].…”

Section: Birth Weight and Six Month Weightsupporting

confidence: 59%

A Study on Phenotypic and Genetic Correlations between Birth Weight and other Growth Traits in Teddy Goat

Kuthu¹

2017

JDVAR

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In present study data available on 20455 kidding and performance records of 5545 Teddy goats and progeny of 406 sires maintained as separate flocks at Livestock Experiment Stations Rakh Ghulaman, Rakh Khariewala and Chak Katora, Punjab, Pakistan was analyzed. The phenotypic, genetic and environmental correlations between birth weight and other growth traits were estimated by Bivariate REML analysis. The estimates of genetic, Phenotypic and environmental correlations between birth weight and weaning weight were 0.61, 0.20 and 0.19, between birth weight and weight at six months 0.39, 0.24 and 0.23, between birth weight and weight at nine months 0.25, 0.38 and 0.36, between birth weight and yearling weight 0.29, -0.01 and -0.02, between birth weight and pre-weaning daily gain 0.55, 0.31 and 0.29, respectively, while the corresponding values for these correlations between birth weight and post weaning daily gain at six months were 0.41, 0.15, 0.13, between birth weight and post weaning daily gain at nine months were 0.22, 0.17, 0.16, while between birth weight and post weaning daily gain at twelve months was 0.29, -0.06 and -0.09, respectively. The results indicated a positive correlation of the between birth weight and other growth traits, except yearling weight and post weaning daily gain at twelve months, which indicates that birth weight that selection on the basis of birth weight would result in increase in performance at later ages.

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Genetic parameter estimates for growth traits and prolificacy in Raeini Cashmere goats

Mohammadi

Shahrebabak

2012

Trop Anim Health Prod

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The main objectives of this study were to estimate genetic and phenotypic parameters for growth traits and prolificacy in the Raeini Cashmere goat. Traits included, 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), average daily gain from weaning to 6WT (ADG2), average daily gain from 6WT to 12WT (ADG3), survival rate (SR), litter size at birth (LSB) and litter size at weaning (LSW) and total litter weight at birth (LWB). Data were collected over a period of 28 years (1982-2009) at the experimental breeding station of Raeini goat, southeast of Iran. Genetic parameters were estimated with univariate models using restricted maximum likelihood (REML) procedures. In addition to an animal model, sire and threshold models, using a logit link function, were used for analyses of SR. Age of dam, birth of type, sex and of kidding had significant influence (p < 0.05 or 0.01) all the traits. Direct heritability estimates were low for prolificacy traits (0.04 ± 0.01 for LSB, 0.09 ± 0.02 for LSW, 0.16 ± 0.02 for LWB and 0.05 ± 0.02 for SR) and average daily gain (0.12 ± 0.03 for ADG1, 0.08 ± 0.02 for ADG2, and 0.07 ± 0.03 for ADG3) to moderate for production traits (0.22 ± 0.02 for BWT, 0.25 ± 0.02 for WWT, 0.29 ± 0.04 for 6WT, 0.30 ± 0.02 for 9WT, 0.32 ± 0.05 for 12WT). The estimates for the maternal additive genetic variance ratios were lower than direct heritability for BWT (0.17 ± 0.03) and WWT (0.07 ± 0.02).

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

Cited by 33 publications

References 29 publications

Genetic analysis of body weight in South African Angora kids and young goats

Genetic analysis of body weight in South African Angora kids and young goats

A Study on Phenotypic and Genetic Correlations between Birth Weight and other Growth Traits in Teddy Goat

Genetic parameter estimates for growth traits and prolificacy in Raeini Cashmere goats

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