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Original Article

AJVS. 2022; 74(1): 85-94


Using some statistical analysis tests for the prediction of the most important factors affecting milk production

Mohammed I. Marie, Sanad T. Atallah, Mahmoud S. El-Tarabany, Fatma D. Mohamed.




Abstract

This study was carried-out for using the statistical analysis tests for prediction of the changes of the milk production due to changes of production resources and prediction of the most important resources of either productive or economic resources in that affecting milk production.
This study was carried out through a field survey in different regions of Egypt include (Menofia, Kaliobia, El Behira, and El Giza) province during the period extended from summer 2017 to winter 2020 on random samples of dairy production sectors. These sectors were Farmers, Private and Governmental. The dairy breeds included in this study were Balady (local breed), Holstein-Friesian (exotic breed), Cross-bred (Balady X Friesian).
This study concluded that, applying some parametric and non-parametric statistical methods in dairy farm data analysis this tests that includes , Parametric tests includes (Correlation tests and Regression tests), that must be applied for improving the productive, reproductive and economic efficiency in dairy enterprises in the target area through, suitable preventive measures should be taken to prevent the economic losses from diseases occurrences. Farmers should attend short courses to improve their skill in management, record keeping and estrous detection methods. Two possibilities for the producers to increase their net profit, either increasing the outputs by low level of available resources or reducing the cost of production especially the feed cost through the best combination from the available resources and Continuous improving of the veterinary management and periodical changes of medication, vaccination and disinfection programs to avoid the fertility problems and the microbial resistance.

Key words: Statistical analysis tests - Prediction – Factors affecting milk production






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