Using Statistical Tests for Examination of Reproductive System Disease Losses in Dairy Farms.

Document Type : Original Article


1 Animal welfare and Wealth Development Department, Faculty of Veterinary Medicine,21526, Alexandria University, Egypt

2 Professor of animal breeding and production Faculty of Veterinary Medicine Zagazig University

3 Prof. of veterinary economy and farm management Faculty of Veterinary Medicine Alexandria University

4 Assistant professor of Biostatistics Faculty of Veterinary Medicine Zagazig University


study aimed to apply some parametric and non-parametric statistical methods to analyze productive and economic loss due to diseases in dairy farms, From the summer of 2017 to the winter of 2020, a field survey was carried out in different areas of Egypt, covering (Menofia, Kaliobia, El Behira, and El Giza) province, on random sampling of dairy producing sectors. Farmers, the private sector, and the governmental were amongst these sectors. This study investigated several dairy breeds: Balady (a native breed), Holstein-Friesian (an alien breed), and Cross-bred (Balady X Friesian). The results concluded that, the statistical tests (Analysis of variance test, t-test, and Chi2-test were effective tools to evaluate the diseases losses in dairy animals especially cattle and buffaloes . The higher incidence of productive and reproductive disorders in buffaloes was reported in anestrous (33.5%), inactive ovaries (31.2%), silent heat (22.6%), endometritis (13.2%) and clinical mastitis (11.7%). Where, the lower incidence was repeated breeder (8.8%), retained placenta (7.5%), lameness (4.3%), and abortion (1.8%) respectively. While, in cattle, the incidence of productive and reproductive disorders reported was from highest to lowest as follows clinical mastitis (29%), endometritis (25.5%), lameness (17.4%), repeat breeder (14.2%), retained placenta (13.3%), anestrous (7%), inactive ovaries (5.7%), silent heat (5.1%) and abortion (1.2%) respectively.


Main Subjects

Volume 54, Issue 7 - Serial Number 7
The Scientific Conference of Kafr Elsheikh University (One World.......One Health, 5th– 8th October 2022)
November and December 2023
Pages 245-252
  • Receive Date: 02 September 2023
  • Revise Date: 24 November 2023
  • Accept Date: 09 December 2023