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International Journal of Pure & Applied Bioscience (IJPAB)
Year : 2018, Volume : 6, Issue : 3
First page : (666) Last page : (673)
Article doi: : http://dx.doi.org/10.18782/2320-6330
Phenotypic Correlation Among Egg Quality Traits - A Review
Beena Sinha1, 2*, K. G. Mandal1, Ramesh Kumar Singh1, Ragini Kumari2 and Pappu Kumar1
1Department of Animal Genetics and Breeding, Bihar Veterinary College,
Bihar Animal Science University, Patna, India
2Animal Genetics and Breeding Division, ICAR-NDRI, Karnal, India
*Corresponding Author E-mail: bkumarvet@gmail.com
Received: 13.03.2018 | Revised: 20.04.2018 | Accepted: 28.05.2018
ABSTRACT
Growth of poultry industry depends both egg production and hatchability. For this a combination of poultry genetics and breeding is required along with others such as nutrition, health, housing etc Besides, an increase in the number of quality traits causes difficulties in the selection of parent stocks. Therefore, selecting the most determinative traits correlated with other traits facilitates in the selection of the breeds. This implies that egg quality traits can be improved genetically through knowledge of their genetic variability8. Phenotypic correlation is a measure of the strength (consistency, reliability) of the relationship between performance in one trait and in another trait. Thus a comprehensive overview of phenotypic correlation among various trait is needed. Egg weight found to be positively and significantly (p<0.05,p<0.01) correlated with most of the internal egg quality traits where as shape index found to be negatively correlated to most of the authors. Albumen height has positive and significant (p<0.05, p<0.01) correlation with albumen weight, yolk height, yolk weight and albumen index.
Key words: Phenotypic correlation, Poultry, Egg weight, Egg quality traits
Full Text : PDF; Journal doi : http://dx.doi.org/10.18782
Cite this article: Sinha, B., Mandal, K.G., Singh, R.K., Kumari, R. and Kumar, P., Phenotypic Correlation Among Egg Quality Traits - A Review, Int. J. Pure App. Biosci.6(3): 666-673 (2018). doi: http://dx.doi.org/10.18782/2320-7051.6330