Studies on Morbidity Profile of Gir Crossbred with the Age, Year and Season of MPKV Rahuri, Maharashtra, India

The research was under taken by utilizing data generated at RCDP on cattle, Mahatma Phule Krishi Vidyapeeth, Rahuri, Maharashtra. The data of morbidity cases 8274 morbidity cases of animals were recorded over the period from 2000 to 2017 were utilized for the present study. The morbidity at various age, year, season, birth weight and causes of morbidity observed. The significance of various factor under study was tested by chi-square test.The overall morbidity cases were 8274 during the period of 2000-2017 out of which 40.91 per cent were Half breds, 36.8 per cent were Phule Triveni and 22.4 per cent were 5/8 th Gir crosses. The highest morbidity was recorded in the age group of (3-10 years) with the advancement of age and disposed of due increased mortality with the advancement of period. According to the birth weight, the highest morbidity was found in the birth weights (20-25 kg) than the heavy weight. According to season the highest morbidity occur in rainy season fallowed by winter and summer season. The maximum number of cattle was morbid due to mammary gland disorder, followed by specific disorder or injury disorder. In mammary gland disorder, mastitis was the major cause, while specific disorder, lameness weakness, pyrexia. Highest morbidity and injury disorder were wound viz., vaginal wound, knee and leg wound accounted for higher morbidity in Gir crossbred. The overall study on morbidity had given typical direction and pin pointed a specific age i.e. 3-10 years and birth weight 20-25 kg.

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Journal
Journal of Advances in Biology & Biotechnology
Published
2025-04-05
DOI
https://doi.org/10.9734/jabb/2025/v28i32162
Primary Topic
Genetic and phenotypic traits in livestock
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article
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Studies on Morbidity Profile of Gir Crossbred with the Age, Year and Season of MPKV Rahuri, Maharashtra, India

S. D. Mandakmale, Devshree Panchbhai
Journal of Advances in Biology & Biotechnology
Genetic and phenotypic traits in livestock
article

Studies on Morbidity Profile of Gir Crossbred with the Age, Year and Season of MPKV Rahuri, Maharashtra, India

S. D. Mandakmale, Devshree Panchbhai
article en

Abstract

The research was under taken by utilizing data generated at RCDP on cattle, Mahatma Phule Krishi Vidyapeeth, Rahuri, Maharashtra. The data of morbidity cases 8274 morbidity cases of animals were recorded over the period from 2000 to 2017 were utilized for the present study. The morbidity at various age, year, season, birth weight and causes of morbidity observed. The significance of various factor under study was tested by chi-square test.The overall morbidity cases were 8274 during the period of 2000-2017 out of which 40.91 per cent were Half breds, 36.8 per cent were Phule Triveni and 22.4 per cent were 5/8 th Gir crosses. The highest morbidity was recorded in the age group of (3-10 years) with the advancement of age and disposed of due increased mortality with the advancement of period. According to the birth weight, the highest morbidity was found in the birth weights (20-25 kg) than the heavy weight. According to season the highest morbidity occur in rainy season fallowed by winter and summer season. The maximum number of cattle was morbid due to mammary gland disorder, followed by specific disorder or injury disorder. In mammary gland disorder, mastitis was the major cause, while specific disorder, lameness weakness, pyrexia. Highest morbidity and injury disorder were wound viz., vaginal wound, knee and leg wound accounted for higher morbidity in Gir crossbred. The overall study on morbidity had given typical direction and pin pointed a specific age i.e. 3-10 years and birth weight 20-25 kg.

Journal of Advances in Biology & BiotechnologyVol. 28(3)
Mahatma Phule Krishi Vidyapeeth (IN)
Openalex Percentile: Top 92%
Genetic and phenotypic traits in livestock
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Studies on Morbidity Profile of Gir Crossbred with the Age, Year and Season of MPKV Rahuri, Maharashtra, India — S. D. Mandakmale, Devshree Panchbhai · Journal of Advances in Biology & Biotechnology (2025) | TGRS Research Map | TGRS