Comparison of ovulation prediction methods in dogs

The present study was conducted to detect ovulation and compare the relative accuracy of different ovulation prediction methods in dogs. Eighty dogs of medium to large breeds, aged between 1.5 to 4 years, presented to the Department of Veterinary Gynaecology and Obstetrics, Veterinary College and other private clinics in Bengaluru were considered in this study. Group I, Group II, Group III, and Group IV animals were bred based on vaginal exfoliative cytology and vaginoscopy, vaginal mucus impedance, progesterone and luteinizing hormone estimation respectively (n=20). The mean number of days from the onset of spotting to the first day of mating recorded was 9.60±0.50, 10.10±0.53, 10.10±0.58 and 9.70±0.57 days for the respective groups, showing no significant difference. The conception rates were 60, 85, 85 and 70 percent, respectively, with no significant difference. The mean gestational lengths of Groups I to IV were recorded as 61.92±1.43, 61.29±1.16, 63.09±0.42 and 63.36±0.67 days, respectively, showing a significant difference (p<0.05) between groups II and IV. The mean litter sizes were 7.17±0.52, 7.65±0.45, 7.71±0.55 and 5.50±0.30 for the respective groups with significant differences (p<0.05) between group IV against groups II and III. It was concluded that all four methods for ovulation prediction in the present study were equally effective with slight variations among them. However, further studies involving large sample sizes and by considering the combination of two or more methods may be more effective in accurately determining the fertile period.

Authors

Publication Details

Journal
International Journal of Advanced Biochemistry Research
Published
2025-01-01
DOI
https://doi.org/10.33545/26174693.2025.v9.i4sb.4083
Primary Topic
Reproductive Physiology in Livestock
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparison of ovulation prediction methods in dogs

A. Sahadev, GP Kalmath, Chetan Kumar, B. M. Ravindranath et al.
International Journal of Advanced Biochemistry Research
Reproductive Physiology in Livestock
article

Comparison of ovulation prediction methods in dogs

A. Sahadev, GP Kalmath, Chetan Kumar, B. M. Ravindranath, Suchitra BR, P. C. Bhat, Naveen Kumar S
article en

Abstract

The present study was conducted to detect ovulation and compare the relative accuracy of different ovulation prediction methods in dogs. Eighty dogs of medium to large breeds, aged between 1.5 to 4 years, presented to the Department of Veterinary Gynaecology and Obstetrics, Veterinary College and other private clinics in Bengaluru were considered in this study. Group I, Group II, Group III, and Group IV animals were bred based on vaginal exfoliative cytology and vaginoscopy, vaginal mucus impedance, progesterone and luteinizing hormone estimation respectively (n=20). The mean number of days from the onset of spotting to the first day of mating recorded was 9.60±0.50, 10.10±0.53, 10.10±0.58 and 9.70±0.57 days for the respective groups, showing no significant difference. The conception rates were 60, 85, 85 and 70 percent, respectively, with no significant difference. The mean gestational lengths of Groups I to IV were recorded as 61.92±1.43, 61.29±1.16, 63.09±0.42 and 63.36±0.67 days, respectively, showing a significant difference (p<0.05) between groups II and IV. The mean litter sizes were 7.17±0.52, 7.65±0.45, 7.71±0.55 and 5.50±0.30 for the respective groups with significant differences (p<0.05) between group IV against groups II and III. It was concluded that all four methods for ovulation prediction in the present study were equally effective with slight variations among them. However, further studies involving large sample sizes and by considering the combination of two or more methods may be more effective in accurately determining the fertile period.

International Journal of Advanced Biochemistry ResearchVol. 9(4S)
Zero hunger
Openalex Percentile: Top 91%
Reproductive Physiology in Livestock
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.