Estimation of genetic parameters for early reproduction traits in Beetal goat

Zygote ◽  
2021 ◽  
pp. 1-6
Author(s):  
Yogesh C. Bangar ◽  
Ankit Magotra ◽  
A.S. Yadav ◽  
Ashish Chauhan

Summary The evaluation of early reproduction traits in Beetal goat was performed for possible effects of genetic and non-genetic factors on litter size at birth (LSB), litter size at weaning (LSW), litter weight at birth (LWB), litter weight at weaning (LWW) and age at first kidding (AFK). The data records consisted of information of pedigree and targeted traits pertained to 223 does born to 25 sires and 122 dams between the years 2004 to 2019. A general linear model was used for assessment of non-genetic factors such as period of birth, type of birth and dam’s weight at kidding on studied traits. Genetic evaluation of targeted traits was done to estimate variance components and genetic parameters under dyadic mixed modelling. The estimates of least-square means for LSB, LSW, LWB, LWW and AFK were observed as 1.27 ± 0.03, 1.25 ± 0.03, 3.24 ± 0.07 kg, 13.08 ± 0.30 kg and 27.56 ± 0.58 months, respectively. Only the period of birth showed significant (P < 0.05) effects for targeted traits in this study. The estimates of direct heritability for LSB, LSW, LWB, LWW and AFK were low in magnitude as 0.08, 0.03, 0.10, 0.03 and 0.06, respectively. The moderate to high genetic and phenotypic correlations among litter traits indicate simultaneous improvement for these traits. It was concluded that low ranged direct heritability estimates for targeted traits indicated modest scope for genetic improvement of reproductive efficiency in Beetal goat through selection and, therefore, adoption of improved managerial practices is necessary to improve reproductive efficiency of Beetal goat.

Author(s):  
N. Bhattarai ◽  
M. R. Kolachhapati ◽  
N. R. Devkota ◽  
U. C. Thakur ◽  
S. P. Neopane

Accurate estimates of genetic parameters are important for genetic improvement in Khari goats. In this regard, altogether 1005 adult does of Khari goat in Deurali VDC, Nawalparasi were evaluated in terms of litter weight at birth (LWB) and litter weight at weaning (LWW) and their genetic parameters from February, 2012 to January 2015. Least square means (LSM) and standard errors of the mean (SEM) for these traits were determined with respect to some non-genetic factors such as altitude, season of conception, season of kidding, dam’s parity, dam’s size at conception, and birth type. Accordingly, Overall LSM±SE of LWB and LWW in present study were determined 3.97±0.06 and 18.21±0.34 Kgs., respectively. Where, LWB did not differed significantly with altitude and dam’s parity, however, it was significantly influenced (p<0.001) by the season of conception, season of kidding, dam’s size at conception, and birth type. Similarly, LWW was significantly varied with respect to altitude (p<0.01), season of conception (<0.001), season of kidding (<0.05), dam’s parity (<0.001), dam’s size at conception (<0.001), and birth type (<0.001). Moderately high heritability estimates of LWB (0.52±0.16) and LWW (0.56±0.17) indicated that these traits were under the strong influence of additive genes and selection based the superiority of individual doe would be appropriate for successful genetic improvement. Highly significant positive genetic (rA=0.95) and phenotypic correlation (rP=0.91) between LWB and LWW suggested that selection for any of these trait would result in considerable positive change in other trait. More specifically, LWB can be used as a guide to select replacement does targeting to increased LWW within the herd. Journal of the Institute of Agriculture and Animal Science.Vol. 33-34, 2015, page: 251-258


2015 ◽  
Vol 31 (1) ◽  
pp. 23-36 ◽  
Author(s):  
H. Roshanfekr ◽  
P. Berg ◽  
K. Mohammadi ◽  
Mirza Mohamadi

The current study reports, for the first time, the genetic parameters and genetic, phenotypic and environmental correlations and trends of reproductive traits in Arabi sheep. Data were collected at Animal Science Research Station of Khuzestan Ramin Agricultural and Natural Resources University (ASRSKRANRU), south-west of Iran from 2001 to 2008. Litter size at birth (LSB), litter size at weaning (LSW), litter mean weight per lamb born (LMWLB), litter mean weight per lamb weaned (LMWLW), total litter weight at birth (TLWB) and total litter weight at weaning (TLWW) averaged 1.11 lambs, 1.01 lambs, 3.83 kg, 19.43 kg, 4.16 kg and 20.12 kg, respectively. Genetic parameters and correlations were estimated with univariate and bivariate models using restricted maximum likelihood, breeding values of animals were estimated with best linear unbiased prediction (BLUP) and genetic- and phenotypic trends by regression of ewes? average breeding values and phenotypic least square means on year of birth respectively. Random effects were fitted by additive direct genetic effects and permanent environment related to the ewe as well as service sire effects, in addition to fixed effects of ewe age at lambing and lambing year. Heritability estimates of 0.05, 0.02, 0.13, 0.12, 0.04, and 0.06, and repeatability estimates of 0.08, 0.06, 0.17, 0.16, 0.14 and 0.21 for the six traits, respectively. Genetic correlations between traits varied from ?0.82 to 0.94. Phenotypic correlations were lower, ranging from ?0.33 to 0.52. Estimated annual genetic progress was very low; ?0.003 lambs for LSW and 15 g for TLWW. Annual phenotypic trend was only significant for LSW being 0.007 lambs. The study concluded that indirect selection based on total litter weight at weaning could be efficient for the traits studied.


2021 ◽  
Vol 22 (1) ◽  
pp. 131-142
Author(s):  
Mohammad Ebrahim Ahmed ◽  
Hussain Yawr Hussain

Thirty-six local dose have been used and were divided in to three groups sacording to weight, in each group twelve dose. In the first group the weights of the dose were higher than ( 2.5 kgs) and less than (3 kgs). The second groups was higher than 3 kgs) and less than (3.5 kgs). The third group was higher than (3.5 kgs) and less than (4 kgs). The aim of this study was to obtain the effect of doe weight on her reproductive efficiency (gestation period, litter size, litter weight at birth and weaning, growth rate of offspring preweaning, conception rate and preweaning mortility).  The weight of the doe had no significant effect upon the gestation period and this period was 30.9, 31.2, 31.3 days for the three groups respectively, on the other hand the litter size was affected significantly by doe weight and litter size was at birth and preaweaning (5.1 , 5.8 and 6.2), (4.5, 5.3 and 5.7) for the three groups respectively. The offspring weight at birth and weaning was affected significantly by doe weight and this weight was (40.1 , 48.2 and 53.3 gms), (203.6, 227.5 and 233.8 gms) for the three groups respectively while the conception rate was not affected by doe weight. The mortility percentage in the prewaning period was not significantly by doe weight


2006 ◽  
Vol 38 (5) ◽  
pp. 445 ◽  
Author(s):  
Juan Gutiérrez ◽  
Blanca Nieto ◽  
Pepa Piqueras ◽  
Noelia Ibáñez ◽  
Concepción Salgado

Author(s):  
Shakti Kant Dash ◽  
A. K. Gupta ◽  
Manoj M. ◽  
Virender Kumar ◽  
Pushp Raj Shivhre ◽  
...  

Present investigation includes the study of the effect of genetic and non-genetic factors and estimation of genetic parameters with respect to lifetime production and reproduction traits of Karan Fries cattle. Data consisted of a total of 5878 lactation records on 1988 cows over a period of 32years (1981 to 2012), maintained at ICAR-NDRI, Karnal. Overall least-squares means for LT2 (kg), LT3 (kg), LT4 (kg), LT5 (kg), ALTMY (kg), PL (days), HL (days), MY/PL (kg/day), MY/HL (kg/day), BE (%), LTDPR were found to be 7907.57±121.21, 12714.68±226.90, 17720.46±338.52, 22282.97±529.00, 15946.45±256.85, 1510.36±21.46, 2571.25±27.31, 9.87±0.11, 5.70±0.07, 89.30±0.84, 0.37±1.22, respectively. Both production and fertility lifetime traits were significantly affected by different factors viz. season of birth, period of birth, genetic group and normal lactations completed. LSANOVA heritability estimates of LT2, LT3, LT4, ALTMY, MY/PL, MY/HL, BE, LTDPR, PL and HL were 0.29±0.09, 0.30±0.12, 0.29±0.17, 0.17±0.08, 0.21±0.08, 0.27±0.09, 0.20±0.08, 0.09±0.10, 0.10±0.08 and 0.03±0.06, respectively. Heritability estimates indicated that lifetime fertility traits were less affected by additive gene action. Genetic correlation estimates indicated unfavourable positive correlation between lifetime fertility and production traits.


Author(s):  
A I Adeolu ◽  
V.U Oleforuh Okoleh ◽  
W Mathew ◽  
R U Onyeneke ◽  
R N Nwose ◽  
...  

Data from 302 progeny in a heterogeneous population of rabbits were used to estimate the heritability and correlations (phenotypic and genetic) of pre-weaning litter traits (litter size at birth LSB, litter size at weaning LSW, litter weight birth LWB, litter weight at weaning LWW, kit weight birth KWB, and kit weight weaning KWW). Heritability estimates for litter size ranged from 0.16 (LSW) to 0.22 (LSB). LWB and LWW were more highly heritable (0.52 and 0.55 respectively) than KWB and KWW (0.36 and 0.25 respectively). The genetic (rG ) and phenotypic (rP) correlations between litter size and litter weight at birth and weaning were 0.69 to 0.88 (rG) and 0.28 to 0.88 (rP). Generally, litter traits gave higher estimates than individual kit traits implying that selection criteria based on litter performance rather than on individual kit performance should be applied in genetic improvement of pre-weaning traits in rabbits raised in derived savanna zone.


2020 ◽  
Vol 42 ◽  
pp. e47380
Author(s):  
Hasan Baneh ◽  
Javad Ahmadpanah ◽  
Yahya Mohammadi

This study was conducted to estimate genetic parameters and trends for reproduction traits using data collected at the breeding station of Iran-Black sheep during 1980 to 2004. The traits included in the analyses were litter size at birth (LSB) and weaning (LSW) and litter mean weight per lamb born (LMWLB) and weaned (LMWLW) as basic traits, and total litter weight at birth (TLWB) and weaning (TLWW) as composite traits. Direct heritability estimates for LSB, TLWB, LMWLB, LSW, TLWW and LMWLW were 0.11, 0.07, 0.33, 0.08, 0.09 and 0.11, respectively. The permanent environmental effects had significant impact on all traits and ranged from 0.05 to 0.16. Effect of service sire was highly significant (p < 0.01) for all traits except LMWLW. Estimates of genetic correlations ranged from -0.76 (LSB-LMWLB) to 0.98 (LSB-LSW). Phenotypic and environmental correlations were generally lower than those of genetic correlations. Environmental correlations ranged from -0.55 (LSW-LMWLW) to 0.99 (LSB-LSW). Also, the estimated correlation for the effect of service sire ranged from -0.77 (LMWLB-TLWW) to 0.96 (LSB-LSW and LSB-TLWW). The results suggest that selection based on TLWB could be more effective than the other traits to enhance reproductive performance in Iran-Black ewes.


2007 ◽  
Vol 8 (1) ◽  
pp. 69
Author(s):  
Rodrigo Vásquez ◽  
Rodrigo Martínez ◽  
Carlos Manrique ◽  
Yenny Rodríguez

<p>Se realizaron análisis de varianza y estimaciones de heredabilidad y repetibilidad para características de crecimiento, reproducción y sobrevivencia en dos núcleos de conejos de las razas Nueva Zelanda (NZ) y Chinchilla (Ch), a partir de registros sobre montas y destetes realizados a lo largo de cinco años. Entre los caracteres analizados, los factores genéticos derivados de padre y madre, así como los ambientales, constituyeron fuentes significativas de variación especialmente en la fase de cría. En cuanto las estimaciones de los parámetros genéticos, se alcanzaron valores de heredabilidad de h2= 0,00 y h2= 0,33 para los caracteres ‘peso individual al parto’ e ‘intervalo entre partos’, respectivamente en la población NZ; y de h2= 0,00 para ‘peso individual al parto’ y ‘peso camada viva al parto’ y h2= 0,40 para ‘intervalo entre partos’ en la población Ch. Se determinó que las características en la fase de cría tienden a presentar mayores valores de heredabilidad que las relacionadas con la etapa de engorde, pues los índices de heredabilidad encontrados para los caracteres ‘peso al sacrificio’, ‘peso de la canal’ y ‘rendimiento en canal’ son bajos (menores de 0,11), por lo que su inclusión en un programa de selección tendría bajo impacto sobre el progreso genético.</p><p> </p><p><strong>Genetic evaluation of production and reproductive behavior in clusters of New Zealand and Chinchilla races of rabbits</strong></p><p>Analysis of variance and estimates of heritability and repeatability for characteristics of development, reproduction and survivorship in two clusters of New Zealand (NZ) and Chinchilla (Ch) races of rabbits were determined from registries about matings and weanings throughout a five year period. Among the characteristics analyzed, genetic factors derived from father and mother, as well as the environmental, constituted significant sources of variation, especially during the rearing phase. In regard to the estimations of genetic parameters, values of heritability were reached that varied between h2= 0.00 and h2= 0.33 for the characters ‘individual weight at birth’ and ‘interval between births’, respectively, for the NZ race; and between h2= 0.00 for ‘individual weight at birth’ and ‘live litter weight at birth’ and h2= 0.40 for ‘interval between births’ in the Ch population. It was determined that the characteristics during the rearing phase tend to show higher values of heritability than those related to the fattening stage, in which the heritability indices found for the characters ‘weight at sacrifice’, ‘slaughter weight’ and ‘slaughter yield’ are low (less than 0.11), so their inclusion in a selection program would have low impact on genetic progress.</p>


Author(s):  
Ercan Soydan

This study was conducted to estimate variance components and genetic parameters for birth weights of Brown Swiss calves. Experimental data were gathered from the records of a State Farm of Turkey (Konuklar) covering the years between 1995 and 2005. Random effects considered in this study included direct and maternal additive genetic effects, maternal permanent environmental effects with direct-maternal genetic covariance and random residual effects. AI-REML algorithm of WOMBAT software was used to estimate variance and covariance components, genetic parameters and breeding values. The general mean for birth weights of all calves was calculated as 38.12±0.006 kg. The least square for mean birth weights was calculated as 38.99±0.007 kg for male calves and as 37.26±0.008 for female calves. Direct heritability (hD2), maternal heritability (hM2), total heritability (hT2), rAM and cAM estimates were respectively calculated as 0.15, 0.10, 0.39, 0.96 and 0.13


2013 ◽  
Vol 58 (No. 9) ◽  
pp. 429-436 ◽  
Author(s):  
E. Krupa ◽  
J. Wolf

Genetic parameters for total number of piglets born per litter, number of piglets weaned per litter, lean meat content, and average daily gain from birth till the end of the field test were estimated for Czech Large White (445 589 records) and Czech Landrace (149 057 records) pigs using a four-trait animal model. The following heritabilities were estimated (first number: Large White, second number: Landrace): 0.10 &plusmn; 0.004 and 0.09 &plusmn; 0.007 for total number born; 0.09 &plusmn; 0.005 and 0.07 &plusmn; 0.008 for number weaned; 0.39 &plusmn; 0.004 and 0.36 &plusmn; 0.009 for lean meat content; 0.21 &plusmn; 0.004 and 0.18 &plusmn; 0.006 for daily gain. The highest genetic correlation (approximately 0.85 in both breeds) was estimated between both litter size traits. In Czech Landrace, all remaining genetic correlations were &lt; 0.20 in their absolute value. Negative correlations of approximately ‑0.25 were estimated in Czech Large White between daily gain and both reproduction traits. All remaining correlations in Czech Large White were also &lt; 0.20 in their absolute value. The estimated non-zero correlations between production and reproduction traits are, besides of other arguments, one reason to recommend a joint genetic evaluation of production and reproduction traits. If more than one litter trait is included in the genetic evaluation, repeatability models should be used instead of separate treating the first and the second and subsequent litters; this is because of the high correlations among litter size traits which are expected to cause numerical problems if multi-parity models are used. &nbsp;


Sign in / Sign up

Export Citation Format

Share Document