Year: 2021 | Month: October | Volume 11 | Issue 5

Retrospective Analysis of Various Reproductive Disorders of Mares in Punjab, India

Jugraj Singh Mahal Mrigank Honparkhe Ajeet Kumar
DOI:10.30954/2277-940X.05.2021.15

Abstract:

A retrospective data were analyzed to investigate the incidence of various reproductive disorders of indigenous mares (n=150) at various animal fairs and organized private stud farms of Punjab during the period of last five years (2013 to 2017). A common questionnaire was prepared to generate information regarding various fertility parameters for breeding practices, %
barren mares, % maiden mares and pregnancy losses during different stages of gestation. The reproductive parameters (estrus/mareyear, estrus/foaling, mating/mareyear, mating/estrus, mating/foaling) were calculated for 750 mare year, using SPSS software (version 16.00). The comparison of data was done using Hosmer and Lemesaw test, Logistic Regression and One-way ANOVA. Amongst 2,949 oestrous cycles in five years, 2,296 (77.86%) were spontaneous whereas 653 (22.14%) were induced with exogenous hormones. Out of 2296 spontaneous estruses, 426 (18.55%) were foal heats. The overall Mean values of estrus/mare year, estrus/foaling, mating/mare year, mating/estrus, mating/foaling were 3.93, 1.94, 1.78, 1.63 and 1.72, respectively. There was non-significant (P≥0.05) difference observed for these reproductive parameters during five years of period. The percentage of barren mares increased significantly (P< 0.05) whereas, the percent foaling mares decreased significantly (P<0.05) during last five years. An early stage of gestation (17-35 days) was more prone (3.47%) for the pregnancy losses followed by the stage at 30-60 days of gestation (2.27 %). Pregnancy losses during these stages were significantly (P<0.05) higher as compared to later stage of gestation.

Highlights

  • To investigate incidence of various reproductive disorders in mares of Punjab.
  • There was increasing number of barren mares and decreasing number of foaling mare.
  • The data generated out of this study would be helpful for planning of breeding strategies and to take suitable measures to curtail the reproductive disorders.


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