Estimation of co (variance) components and genetic parameters for growth and feed efficiency traits in Jamunapari goat
Introduction
Jamunapari is one of the most important dual purpose goat breed with higher growth rate, milk production and it is well adapted to semi-arid climatic conditions. It has derived its name from Jamuna River and is native of Etawa district of Uttar Pradesh, India. This breed is tall, white in color, have pendulous ears and large body size (Rout et al., 2000). This breed was used to evolve the Anglo-Nubian breed of England and also has been extensively used to upgrade goats in Southeast Asian countries (Rout et al., 2004). Nucleus flock of Jamunapari goat has been established at ICAR-Central Institute for Research on Goat (ICAR-CIRG) in 1982 and since then selective breeding is practiced to improve the performance of flock for body weight, milk yield and prolificacy, besides distribution of elite germplasm for genetic improvement in field flocks. Chevon is most preferred and widely consumed meat in the country (Sen et al., 2004). The demand for chevon is progressively increasing and expected to further mount in future in view of substantial increase in per capita income. The per capita meat availability in India is only 15 g per day as compared to ICMR requirement of 30 g. Due to social taboos associated with consumption of beef and pork in India, the pressure on small ruminants and poultry is tremendous. Therefore, to meet the increasing demand and also to boost small marginal farmers, there is an urgent need to increase productivity of the goat for meat production.
In order to improve the production performance, growth and feed efficiency are utmost important traits in goat. Moreover, market weight of the goat is affected by the ADG. The Kleiber ratio is the more accurate indicator of growth measurement as it takes account of metabolic body weight. The Kleiber ratio, defined as ADG / metabolic body weight, has therefore been suggested as useful indicator of growth efficiency and as an indirect selection criterion for conversion of feed efficiency (Kleiber, 1947; Koster et al., 1994). The feed conversion efficiency is a more suitable selection criterion for achieving higher growth than the live weight itself. The additive genetic, maternal and environmental effects are known to influence the growth in goats. The information of genetic correlation among the traits is very important in any selection programme as biologically the traits are associated at genetic level and selection of one trait affects the linked trait either in positive or negative direction. The selection potential is largely dependent on the heritability of the measured trait and its correlation with other traits. Various studies have been carried out to analyze the effect of various factors affecting growth traits in different goat breeds using sire and animal model (Bosso et al., 2007; Boujenane and El-Hazzab, 2008; Rashidi et al., 2008, 2011; Zhang et al., 2008, 2009; Gholizadeh et al., 2010; Gowane et al., 2011; Mohammadi et al., 2012; Zhou et al., 2015; Rout et al., 2018; Latifi and Razmkabir, 2019; Mokhtari et al., 2019, Meza-Herrera et al., 2019; Ofori and Hegan, 2020). Accurate and unbiased estimation of the genetic parameters is very much essential for selection decisions in the breeding program. Inaccurate estimates usually fail at the levels of realized genetic gains mostly due to inflated or deflated estimates of heritability that affects the predicted response. The estimates of genetic correlations for growth and feed efficiency traits have not been studied in details in Jamunapari goat. Therefore, the main objective of the study was to estimate the genetic parameters for live weight traits at different ages, average daily gains and kleiber ratios and also to obtain the genetic and phenotypic correlations among these traits using the average information restricted maximum likelihood (AIREML) in order to design future selection plan for higher growth.
Section snippets
Location and environment
Data available on pedigree and growth performance were collected from the breeding flock of Jamunapari goat maintained at the ICAR-Central Institute for Research on Goats, Makhdoom. The institute farm is located on the banks of river Yamuna, at 78°02′ E Latitude and 27° 10′ N Longitude at an altitude of 169 m above mean sea level. The farm climate is semi-arid in nature while the average temperature varies from minimum 2 °C (winter) to maximum 48.5 °C (summer). The average rainfall is around
Result and discussion
The characteristics of the pedigree, data structure and significance of the non-genetic factors on growth traits, average daily gains and kleiber ratios are presented in Table 1. The average inbreeding coefficient for the pedigree (N = 9418) was 0.83 %, which was quite low for the nucleus maintained for more than 30 years. The inbreeding coefficient for the inbred animals (N = 3751) was 2.045 %. The low rate of inbreeding is the result of scientific mating which could keep the inbreeding within
Conclusion
The findings of this study has underlined the importance of maternal effects in Jamunapari goat and their influence on growth and feed efficiency traits. These results indicate that it is imperative to take these effects in to consideration for obtaining unbiased estimates of genetic parameters as they affect the breeding objective. Significant genetic variability suggests further scope of selection for growth and feed efficiency traits in Jamunapari goat. The high and positive genetic
Declaration of Competing Interest
The authors report no declarations of interest.
Acknowledgement
Authors acknowledge the contribution of data recorder/technical staff at farm and past project investigators. This project was funded by ICAR-All India coordinated research project on Jamunapari goat. The support provided by the Director of the institute for execution of project is also gratefully acknowledged.
References (63)
- et al.
Genetic and phenotypic parameters for early growth traits in Emirati goat
Small Rumin. Res.
(2002) - et al.
Genetic evaluation of growth in Raini goat using random regression models
Livest. Sci.
(2012) - et al.
Genetic and phenotypic parameters of body weight in West African Dwarf goat and Djallonke sheep
Small Rumin. Res.
(2007) - et al.
Genetic parameters for direct and maternal effects on body weights of Draa goats
Small Rumin. Res.
(2008) - et al.
Study on the growth performance of Black Bengal goats in different periods
Small Rumin. Res.
(1996) - et al.
Estimates of (co)variance components for productive and composite reproductive traits in Iranian Cashmere goats
Livest. Sci.
(2009) Variance components due to direct and maternal effects for growth traits of Australian beef cattle
Livest. Prod. Sci.
(1992)- et al.
Estimates of genetic parameters and heterosis for birth weight, one-month weight and litter size at birth in five goat breeds
Small Rumin. Res.
(2019) - et al.
Estimates of genetic and phenotypic parameters of some growth traits in common African and Alpine crossbred goats
Small Rumin. Res.
(1998) - et al.
Evaluation of the performance of the Kenya dual purpose goat composites: additive and non-additive genetic parameters
Small Rumin. Res.
(2007)
Estimation of genetic and phenotypic variance of several growth traits of the Sicilian Girgentana goat
Small Rumin. Res.
Genetic parameter estimates for pre-weaning performance and reproduction traits in Markhoz goats
Small Rumin. Res.
Genetic analysis of growth parameters and survival potential of Jamunapari goats in semiarid tropics
Small Rumin. Res.
Estimates of (co)variance components due to direct and maternal effects for body weights in Jamunapari goats
Animal
Variance components of early growth traits in the Boer goat
Small Rumin. Res.
Carcass yield, composition and meat quality attributes of sheep and goat under semi-arid conditions
Meat Sci.
Genetic parameters for body weight, fleece weight and fiber diameter in South African Angora goats
Livest. Prod. Sci.
A random heterosis effects on genetic parameters, estimation of birth weight, and Kleiber ratio in a population admixture of Thailand goats
Livest. Sci.
Variance components and genetic parameters for weight and size at birth in the Boer goat
Livest. Sci.
Genetic and phenotypic parameter estimates for growth traits in Boer goat
Livest. Sci.
Phenotypic and genetic parameter estimates of litter size and body weights in goats
Int. J. Sci. Nat.
Growth performance and genetic parameter estimates of the West African Dwarf goat at the Kintampo Goat Breeding Station-Ghana
Ghanaian J. Animal Sci.
Genetic parameter estimates for early growth traits in Naeini goat
Anim. Prod. Sci.
Estimating non-genetic and genetic parameters of pre-weaning growth traits in Raini Cashmere goat
Trop. Anim. Health Prod.
A Study on the performance of Mahabubnagar goats
Indian J. Anim. Res.
Direct and maternal genetic trend estimates for growth traits of Zaraibi goats in Egypt using multivariate animal Models
Int. J. Modern Biol. Med.
Introduction to Quantitative Genetics
Performance and genetic parameters of economically important traits of Black Bengal goat
J. Bangladesh Agric. Univ.
Growth modeling and genetic analysis on growth traits of sirohi goat under field conditions
Iranian J. Appl. Animal Sci.
Genetic parameter estimates for birth and weaning weights in Raeini goats
Czech J. Anim. Sci.
Estimates of (co)variance components and genetic parameters for growth traits in Sirohi goat
Trop. Anim. Health Prod.
Cited by (16)
The estimation of genetic parameters and genetic trends for growth traits in Markhoz goats
2023, Small Ruminant ResearchGenetic studies on the estimates of (Co) variance components for growth traits in Barbari goat
2022, Small Ruminant ResearchCitation Excerpt :The effect of fixed parameters like as period, sex, parity, kidding season, birth type, and doe weight at kidding are important sources of variation for growth and better growth can be harvested with suitable modification in management by taking care of these factors. The findings of this study were comparable to those reported by Barazandeh et al. (2012); Mohammadi et al. (2012); Moghbeli et al. (2013); Gupta et al. (2016); Gautam et al. (2019); Dige et al. (2021) and Magotra et al. (2021). We observed that the model 6, which was inclusive for direct and maternal effects, was the most suitable model for all live weight traits except 12 W (Table 2).
Use of Random regression model for modeling growth trajectory in Jamunapari goat in the semi-arid region of India
2021, Livestock ScienceCitation Excerpt :The highly positive genetic correlation between 6MW-9MW (0.88±0.02) indicates scope for early selection of animals at 6MW, in contrast to the present practice of selecting at 9MW. The results of the present study indicated that there was an increase in the estimate of genetic correlation when we used RRM, as compared to the correlation estimates obtained using the multivariate animal model on the same dataset (Dige et al., 2021). Thus, correction for the impact of GxE for genetic evaluation by using RRM seems to be an essential step that is usually ignored in traditional genetic analyses.
Estimation of genetic parameters and genetic change of first parity reproductive traits in Alpine × Beetal goats
2023, Reproduction in Domestic Animals
- 1
Current address: Scientist, National Bureau of Animal Genetic Resources, Karnal, 132001, Haryana.