Browsing by Author "Mohamed Safiullah, A"
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ArticleItem Open Access Constraints in Backyard Goat Farming in Cauvery Delta Zone – The Farmers’ Perception(2018) Senthil, R; Senthil Kumar, G; Serma Saravana Pandian, A; Thamil Vanan, Thanga.; Mohamed Safiullah, A; TANUVASThe present study was undertaken to investigate the constraints faced by backyard goat farmers in Cauvery delta zone of Tamil Nadu. The data was collected through a semi-structured interview schedule containing lists of constraints were asked to rank them. The data were tabulated and Likart score technique was adopted to analyze the constraints as perceived by the respondents. The study revealed that non-availability of vaccination, lack knowledge about balanced feeding, non-availability of improved breeding bucks, low market price for goat and lack of knowledge about goat rearing were the main constraints in the major domain of health care, feeding, breeding, marketing and others constraints.ArticleItem Open Access Economic Losses due to Milk Fever in Dairy Farms in Tamil Nadu(2016-01) Senthilkumar, V; Mohamed Safiullah, A; Kathiravan, G; Subramanaian, M; Mani, K; TANUVASMilk fever is an economically most important metabolic disease occurring in dairy animals during parturient period, as it results in not only reduction in milk production but also loss of animals and is becoming increasingly important at both farm and national levels. For the study, 83 milk fever affected dairy animals were selected through simple random sampling technique from Namakkal and Karur districts of Tamil Nadu. Data were collected from the respondent farmers through personal interviews, using pretested interview schedule. The loss due to milk fever per affected cow was estimated to be Rs.802.60. The loss due to milk fever in buffaloes was estimated to be Rs.871.19. It could be extrapolated that the total economic loss in the State due to milk fever would be Rs.33.60 crores and Rs.3.75 crores in cows and buffaloes respectively.ArticleItem Open Access Estimated Economic Losses due to Downer Cow Syndrome in Bovines in Tamil Nadu(2014-07) Senthilkumar, V; Mohamed Safiullah, A; Kathiravan, G; Subramanaian, M; Mani, K; TANUVASA downer cow is one, down for at least 24 hours without apparent reason for being down. Different terminologies used to describe this syndrome are ‘downers', ‘alert downers', ‘atypical milk fever’ or ‘creeper cows’ and 'fat cow syndrome' Downer cow diseases are complications resulting from milk fever with demonstrable muscle, tendon or nerve injuries. For the present study, 67 downer cow syndrome affected dairy animals either cow or buffalo were selected through simple random sampling technique from Namakkal and Karur districts of Tamil Nadu.ArticleItem Open Access Occurrence of Ketosis in Milch Cows in Namakkal District of Tamil Nadu(2014-10) Senthilkumar, V; Mohamed Safiullah, A; Kathiravan, G; TANUVASKetosis can cause economic losses through decreased milk production in bovines especially high yielding cows. The study of prevalence rate due to ketosis in milch cows are very much important and can help in providing overall view of the impact of this disease. Prevalence is usually expressed in terms occurrence of the number of diseased animals in relation to the number of animals in the population at risk. For the present study, 30 farmers were selected from three blocks out of‘ which 15 in Namakkal district through multistage random sampling technique with the objective to calculate prevalence rate.ArticleItem Open Access PREDISPOSING FACTORS INFLUENCING OCCURRENCE OF DOWNER COW SYNDROME IN DAIRY ANIMALS IN SELECTED DISTRICTS OF TAMIL NADU(TANUVAS, 2020-11) Senthilkumar, V; Mohamed Safiullah, A; Kathiravan, G; TANUVASA study was conducted to assess the factors influencing the occurrence of downer cow syndrome in Tamil Nadu. For this, primary data from the 67 dairy farmers (60 cow and 07 buflalo farmers) from Namakkal and Karur districts of Tamil Nadu having downer cow syndrome aflected dairy animals were collected. Using logistic regression model, Wald statistic were obtained for the independent variables which indicated that the coefficients for parity, stage of lactation, summer and winter season, previous occurrence of metabolic disease, feeding of green fodder, feeding of concentrate, promity to parturition (near term) and species of dairy animal were observed significant.OtherItem Open Access REGRESSION COEFFICIENTS OF LOGISTIC MODELS FITTED TO ANALYSE THE POST PARTUM DISORDERS INFLUENCING PREVALENCE OF METABOLIC DISEASES IN DAIRY ANIMALS(2019-12) Senthilkumar, V; Mohamed Safiullah, A; Kathiravan, G; TANUVASThe prevalence of bovine metabolic diseases such as ketosis, milk fever and downer cow syndrome were studied in 180 sample dairy farm households in Namakkal and Karur districts of Tamil Nadu. The probability of picking up of metabolic diseases in post partum disorder animals was assessed by using logistic regression analysis. For interpretation, the coefficient for the variable post partum disorder of dairy animal was found as per Wald statistics and whether this variable is significant or non significant. The outcome of the logistic regression model for ketosis is 53.149 and significant; it implies that the one unit change in the factor post partum disorders (metritis and retained foetal membrane) would make the event 53.149 times as likely to occur. Similarly, the post partum disorder factor influenced the log odds of the milch animal for being affected by the milk fever were to the tune of 17.908. In downer cow syndrome, the post partum disorder variables were found to be non significant. From this study it concluded that the post partum disorders variable to influence the risk of ketosis and milk fever in dairy animals.