Can we identify key characteristics associated with grazing-management dairy systems from survey data?
Discriminant analysis was used to identify farms using confinement and grazing-production systems from mail survey data of 2074 dairy farmers in Pennsylvania, Vermont, Virginia, and North Carolina. Survey respondents included 45.1% of the farms using confinement management; 13.5% of farms practicing intensive grazing, defined as moving cows to new pasture at least every 3 d; and 41.4% of farms using nonintensive grazing. Farmers using confinement management had significantly more cows, higher milk production, more crop acreage, higher debt, used automatic takeoff milking units (ATO), fed total mixed rations (TMR), and were more satisfied. In general, dairy farmers who grazed their milking cows had smaller herds, fewer acres, but had more acres per cow and made less use of technology. However, farmers practicing intensive grazing were significantly younger, more educated, less experienced, more likely to use computers, and farmed less acreage than other graziers or farmers on confinement farms. The discriminant function correctly classified 70% of the total sample when divided into confinement and overall grazing categories. However, the discriminant function correctly classified only 36% of intensive-grazing farms in comparison to confinement farms. Significant variables identified using ordinary least squares as being related to confinement management were milk per cow, acres of corn, use of ATO and TMR, debt greater than 40%, and residence in North Carolina. Significant variables associated with grazing management were acres of pasture, future use of pasture, education, and residence in Vermont. The analysis indicated that the discriminant function could correctly classify confinement and nonintensive-grazing management but was unable to reliably differentiate between confinement and intensive-grazing farms.
Parsons
R L
RL
Department of Community Development and Applied Economics, University of Vermont, Burlington 05405, USA. bob.parsons@uvm.edu
Luloff
A E
AE
Hanson
G D
GD
D000328:Adult; D000824:Animal Nutritional Physiological Phenomena; D000818:Animals; D002417:Cattle / Q000502:physiology*; D003612:Dairying / Q000191:economics / Q000379:methods* / Q000706:statistics & numerical data*; D004032:Diet; D016002:Discriminant Analysis; D004522:Educational Status; D005163:Factor Analysis, Statistical; D005260:Female; D006801:Humans; D007182:Income; D007588:Job Satisfaction; D007774:Lactation; D008875:Middle Aged; D015596:Nutrition Assessment; D013997:Time Factors; D014481:United States