Abstract
Aim:This research was conducted to determine the most affecting parameters on hatchability of indigenous and improved local chickens’ eggs.Materials and Methods:Five parameters were studied (fertility, early and late embryonic mortalities, shape index, egg weight, and egg weight loss) on four strains, namely Fayoumi, Alexandria, Matrouh, and Montazah. Multiple linear regression was performed on the studied parameters to determine the most influencing one on hatchability.Results:The results showed significant differences in commercial and scientific hatchability among strains. Alexandria strain has the highest significant commercial hatchability (80.70%). Regarding the studied strains, highly significant differences in hatching chick weight among strains were observed. Using multiple linear regression analysis, fertility made the greatest percent contribution (71.31%) to hatchability, and the lowest percent contributions were made by shape index and egg weight loss.Conclusion:A prediction of hatchability using multiple regression analysis could be a good tool to improve hatchability percentage in chickens.
Highlights
Poultry production is a process which has an important role in bridging shortage of nutrition in developing countries
Path coefficient analysis becomes successful tool which can be used in examining the possible causal linkage between statistical variables and for prediction [2]
According to the indicative performance records for scientific hatchability (>93% excellent, >90% very good, >87% good, >83% average, and
Summary
Poultry production is a process which has an important role in bridging shortage of nutrition in developing countries. The hatchability of chicken eggs is one of the most important parameters for efficiency in hatchery practices. Heritability estimated for hatchability in chickens was low [1]. Numerous parameters have pronounced influence on the hatchability of chicken eggs and it is necessary to know the important parameters affecting hatchability success and its contribution. We chose five incubation parameters which have a direct effect on hatchability. Statistical models can be used in prediction and helps to make the best decisions to approach maximum productivity in the poultry industry. Path coefficient analysis becomes successful tool which can be used in examining the possible causal linkage between statistical variables and for prediction [2]
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