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RISS 인기검색어
- 검색키워드
- 저자 : Chaseling, J. (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
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FACTORS AFFECTING PRODUCTIVITY ON DAIRY FARMS IN TROPICAL AND SUB-TROPICAL ENVIRONMENTS
Kerr, D.V.,Davison, T.M.,Cowan, R.T.,Chaseling, J. Asian Australasian Association of Animal Productio 1995 Animal Bioscience Vol.8 No.5
The major factors affecting productivity on daily farms in Queensland, Australia, were determined using the stepwise linear regression approach. The data were obtained from a survey conducted on the total population of daily farms in Queensland in 1987. These data were divided into six major dailying regions. The technique was applied using 12 independent variables believed by a panel of experienced research and extension personnel to exert the most influence on milk production. The regression equations were all significant (p < 0.001) with the percentage coefficients of determination ranging from 62 to 76% for equations developed using' total farm milk: production as the dependent variable. Three of the variables affecting total farm milk: production were found to be common to all six regions. These were; the amount of supplementary energy fed, the area set aside to irrigate winter feed and the size of the area used for dailying. Higher production farms appeared to be more efficient in that they consistently produced milk production levels higher than those estimated from the regression equation for their region. Other methods of analysis including robust regression and non linear regression techniques were unsuccessful in overcoming this problem and allowing development of a model appropriate for farms at all levels of production.
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AN ASSESSMENT OF FACTORS ASSOCIATED WITH INCREASED PRODUCTIVITY OF DAIRY FARMS IN FIJI
Kerr, D.V.,Fell, R.F.,Murray, A.J.,Chaseling, J. Asian Australasian Association of Animal Productio 1995 Animal Bioscience Vol.8 No.5
A survey of physical inputs was conducted on the total population of dairy farms supplying milk to the Rewa cooperative dairy company in Fiji. The critical inputs associated with total farm milk production were determined using multiple regression, with analyses being conducted for each of the three identified supplier groups, bulk milk, canned milk and cream. Mean annual milk production per cow averaged 1460 (s.d. = 319), 889 (s.d. = 321) and 800 (s.d. = 451) litres for the bulk milk, canned milk and cream suppliers respectively. Stocking rate averaged 1.37 (s.d. = 1.18) cows per hectare over all farms. Inputs to pasture were universally low and Navua sedge (Cyperus aromaticus) was identified as a major weed. The average amount of supplement fed annually on a grain equivalent basis was 700 (s.d. = 984) kg per cow for bulk milk, 84 (s.d. = 198) kg per cow for canned milk and 146 (s.d. = 542) kg per cow for cream suppliers. The analysis of data from a small group of farms using nitrogen fertiliser indicated that their production levels were higher than the general population. This suggests that there is potential for the Fijian dairy industry to increase milk production through the use of higher inputs to cows and pastures. The regression models relating annual milk production from farms to the two key inputs of number of cows milked and the amount of supplement fed were all significant (p < 0.001). The coefficients of determination for these models ranged from 56.9 to 89.4 percent.
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