Influence of genetic and non-genetic factors on growth performance in Black Bengal goats under field condition in West Bengal

A JEMIMA JASMINE; UTTAM SARKAR; MANORANJAN ROY; SANJOY DATTA

doi:10.56093/ijans.v92i10.124645

Authors

A JEMIMA JASMINE West Bengal University of Animal and Fishery Sciences, Belgachia, Kolkata, West Bengal 700 037 India
UTTAM SARKAR West Bengal University of Animal and Fishery Sciences, Belgachia, Kolkata, West Bengal 700 037 India
MANORANJAN ROY West Bengal University of Animal and Fishery Sciences, Belgachia, Kolkata, West Bengal 700 037 India
SANJOY DATTA West Bengal University of Animal and Fishery Sciences, Belgachia, Kolkata, West Bengal 700 037 India

https://doi.org/10.56093/ijans.v92i10.124645

Keywords:

Black Bengal goat, Growth, Genetic factors, Non-genetic factors

Abstract

Data on 10148 Black Bengal kids recorded from 2008 to 2019 and maintained at farmer’s fields at different agroclimatic clusters of West Bengal under the project “AICRP on Goat Improvement, Black Bengal Field Unit- Kolkata” were used to study the effect of non-genetic factors on body weight from birth to 12 months of age. The data were analysed using least squares analysis technique. The average birth weights of Black Bengal goats obtained under four different agro-climatic clusters revealed that there was a significant variation in body weight (kg) of all ages. The effect of year of kidding, influence of season and parity of the dam on body weight of Black Bengal kids at different ages were significant. But a non-significant result was found at the body weight in all the seasons as well as in all the parities at 9 and 12 months of age. Sex of the kid and type of birth had significant effect on body weights from birth to 12 months of age. Significantly higher body weight at birth was recorded in single born kid, followed by twin and triplets. The study concluded that it is possible to improve non-genetic elements in the field, particularly by providing excellent housing, reducing stress, having access to grazing pasture, and doing routine deworming and vaccinations. The findings supported the need for environmental changes that can aid in the development of management strategies and decision making regarding the selection.

Downloads

Download data is not yet available.

References

Akhtar F, Islam A B M M and Amin M R. 2006. Effect of selection for growth on production performance in Black Bengal goats. Pakistan Journal of Biological Sciences 9(2): 182–85. DOI: https://doi.org/10.3923/pjbs.2006.182.185

Amiri Roudbar M, Mohammadabadi M R, Mehrgardi A A and Abdollahi-Arpanahi A. 2017. Estimates of variance components due to parent-of-origin effects for body weight in Iran-Black sheep. Small Ruminant Research 149: 1–5. DOI: https://doi.org/10.1016/j.smallrumres.2017.01.002

Amiri Roudbar M, Abdollahi-Arpanahi R, Ayatollahi Mehrgardi A, Mohammadabadi M, Taheri Yeganeh A and Rosa G J M. 2018. Estimation of the variance due to parent-of-origin effects for productive and reproductive traits in Lori-Bakhtiari sheep. Small Ruminant Research 160: 95–102. DOI: https://doi.org/10.1016/j.smallrumres.2018.01.022

Barazandeh A, Mohammadabadi M R, Ghaderi-Zefrehei M, Rafeied F and Imumorin I G. 2019. Whole genome comparative analysis of CpG islands in camelid and other mammalian genomes. Mammalian Biology 98: 73–79. DOI: https://doi.org/10.1016/j.mambio.2019.07.007

Choudhury M, Sarker S, Islam F, Ali A, Bhuiyan A, Ibrahim M and Okeyo A. 2013. Morphometry and performance of Black Bengal goats at the rural community level in Bangladesh. Bangladesh Journal of Animal Science 41(2): 83–89. DOI: https://doi.org/10.3329/bjas.v41i2.14122

th Livestock Census report. 2019. Department of Animal Husbandry, Dairying & Fisheries, Ministry of Agriculture.

Gholamhoseini Gooki F, Mohammadabadi M R and Asadi Fozi M. 2018. Polymorphism of the growth hormone gene and its effect on production and reproduction traits in goat. Iranian Journal of Applied Animal Science 8(4): 653–59.

Ghotbaldini H, Mohammadabadi M R, Nezamabadi-pour H, Babenko O I, Bushtruk M V and Tkachenko S V. 2019. Predicting breeding value of body weight at 6-month age using Artificial Neural Networks in Kermani sheep breed. Acta Scientiarum Animal Sciences 41(1): e45282. DOI: https://doi.org/10.4025/actascianimsci.v41i1.45282

Gooki F G, Mohammadabadi M, Fozi M A and Soflaei M. 2019 Association of biometric traits with growth hormone gene diversity in Raini Cashmere goats. Walailak Journal of Science and Technology 16(7): 499–508. DOI: https://doi.org/10.48048/wjst.2019.3791

Haque M N, Husain S S, Khandoker M A M Y, Mia M M and Apu A S. 2013. Selection of Black Bengal Buck based on some reproductive performance of their progeny at semi-intensive rearing system. Journal of Agricultural Science 5(8): 142–52. DOI: https://doi.org/10.5539/jas.v5n8p142

Hassan M, Sultana S, Iqbal A and Talukder M. 2016. Estimation of heritability, breeding values and genetic trends for growth traits of exotic goat. International Journal of Natural Sciences 3(1): 7–11. DOI: https://doi.org/10.3329/ijns.v3i1.28580

Husain S S, Horst P and Islam A B M M. 1997. Growth performance of Black Bengal goats in different regions of Bangladesh. Asian Australasian Journal of Animal Sciences 10(5): 491–494. DOI: https://doi.org/10.5713/ajas.1997.491

Kramer C Y. 1957. Extension of multiple range tests to group correlated adjusted means. Biometrics 13(1): 13–18. DOI: https://doi.org/10.2307/3001898

Mohammadabadi M, Bordbar F, Jensen J, Du M and Guo W. 2021. Key genes regulating skeletal muscle development and growth in farm animals. Animals 11: e835. DOI: https://doi.org/10.3390/ani11030835

Mohammadi A, Nassiry M R, Mosafer J and Mohammadabadi M R. 2009. Distribution of BoLA-DRB3 allelic frequencies and identification of a new allele in the Iranian cattle breed Sistani (Bos indicus). Russian Journal of Genetics 45(2): 198–202. DOI: https://doi.org/10.1134/S1022795409020100

Nassiry M R, Shahroodi F E, Mosafer J, Mohammadi A, Manshad E, Ghazanfari S, Mohammad Abadi M R and Sulimova G E. 2005. Analysis and frequency of bovine lymphocyte antigen (BoLA-DRB3) alleles in Iranian Holstein cattle. Russian Journal of Genetics 41(6): 664–68. DOI: https://doi.org/10.1007/s11177-005-0142-5

Norouzy A, Nassiry M R, Shahrody F E, Javadmanesh A, Abadi M R M and Sulimova G E. 2005. Identification of bovine leucocyte and adhesion deficiency (BLAD) carriers in Holstein and Brown Swiss AI bulls in Iran. Russian Journal of Genetics 41(12): 1409–13. DOI: https://doi.org/10.1007/s11177-006-0014-7

Sikder S, Chatterjee J K, Nandi D, Roy M and Roy S. 2015. Studies on boey growth pattern of Black Bengal goat according to agro-climatic zones and rearing practices in West Bengal, India. Exploratory Animal and Medical Research 5(1): 86–95.

Malik C P, Kanaujia A S and Pander B L. 1986. A note on the factors affecting pre-weaning growth in Beetal and Black Bengal kids and their crosses. Animal Production 43(1): 178– 82. DOI: https://doi.org/10.1017/S0003356100018481

Malik R C, Singh R N, Acharya R M and Dutta O P. 1980. Factors affecting lamb survival in crossbred sheep. Tropical Animal Health and Production 12: 217–23. DOI: https://doi.org/10.1007/BF02236619

Paul R, Rahman A, Debnath S and Khandoker M. 2014. Evaluation of productive and reproductive performance of Black Bengal goat. Bangladesh Journal of Animal Science 43(2): 104–111. DOI: https://doi.org/10.3329/bjas.v43i2.20704

Singh H, Pannu U, Narula H K, Chopra A, Naharwara V and Bhakar S K. 2016. Estimates of (co)variance components and genetic parameters of growth traits in Marwari sheep. Journal of Applied Animal Research 44(1): 27–35. DOI: https://doi.org/10.1080/09712119.2014.987291

Singh L B and Singh D K. 1999. Environmental factors affecting growth of beetal × black bengal kids. Indian Veterinary Journal 76(2): 120–24.

Zamani P, Akhondi M and Mohammadabadi M R. 2015. Associations of Inter-Simple Sequence Repeat loci with predicted breeding values of body weight in Sheep. Small Ruminant Research 132(3): 123–27. DOI: https://doi.org/10.1016/j.smallrumres.2015.10.018

Zonaed Siddiki A M A M, Miah G, Islam M S, Kumkum M, Rumi M H, Baten A and Hossain M A. 2020. Goat genomic resources: the search for genes associated with its economic traits. International Journal of Genomics 2020: 1–13. DOI: https://doi.org/10.1155/2020/5940205