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Current IssueEditorial BoardOnline First Articles
Indian Journal of
Animal Research
Print ISSN: 0367-6722
Online ISSN: 0976-0555
NASS Rating
6.40
SJR
0.233
CiteScore
0.606

Chief Editor:
M. R. Saseendranath
Kerala Veterinary and Animal Science University, Mannuthy, Thrissur, INDIA
Frequency:Monthly
Indexing:
Science Citation Index Expanded, BIOSIS Preview, ISI Citation Index, Biological Abstracts, Scopus, ...

Indian Journal of Animal Research, volume 49 issue 1 (february 2015) : 20-25

Growth modeling and factors affecting growth traits in Madras red Sheep

R. Ganesan*, P. Dhanavanthan, D. Balasubramanyam, P. Kumarasamy, Kiruthika
1Department of Statistics, Pondicherry University, Puducherry-605 014, India.
Cite article:- Ganesan* R., Dhanavanthan P., Balasubramanyam D., Kumarasamy P., Kiruthika (2025). Growth modeling and factors affecting growth traits in Madras red Sheep. Indian Journal of Animal Research. 49(1): 20-25. doi: 10.5958/0976-0555.2015.00004.7.

ABSTRACT

Sheep rearing is an important livelihood for a large number of small and marginal farmers in India. Growth is a trait of interest in domestic animals. Information about growth model parameters is very useful for selection studies. In this paper, the growth of Madras Red sheep, a native breed of Tamil Nadu state in India, is studied through nonlinear growth models using data on average monthly body weight measurements of 1424 sheep from birth to 2 years of age born during 1996 to 2010. Sex of lamb, dam weight at lambing and year of birth were the significant non-genetic factors affecting body weight at birth, 3rd, 6th, 9th and 12th month. The birth weight and 9th month weight showed significant difference between the seasons. Average daily weight gain showed significant difference between sex of lamb, season of birth and year of birth while it showed significant difference between dam weight at lambing only for the period 3-6 months. Brody’s growth model described the average monthly growth remarkably well in males and females suggesting its usefulness in growth monitoring of Madras Red sheep.

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