Comparison of test interval and best prediction methods for estimation of lactation yield from monthly, am-pm, and trimonthly testing

Citation
Hd. Norman et al., Comparison of test interval and best prediction methods for estimation of lactation yield from monthly, am-pm, and trimonthly testing, J DAIRY SCI, 82(2), 1999, pp. 438-444
Citations number
14
Categorie Soggetti
Food Science/Nutrition
Journal title
JOURNAL OF DAIRY SCIENCE
ISSN journal
00220302 → ACNP
Volume
82
Issue
2
Year of publication
1999
Pages
438 - 444
Database
ISI
SICI code
0022-0302(199902)82:2<438:COTIAB>2.0.ZU;2-J
Abstract
A method with best prediction properties that condenses information from al l test days into measures of lactation yield and persistency has been propo sed as a possible replacement for the test interval method and projection f actors. The proposed method uses previously established correlations betwee n individual test days and includes inversion of a matrix for each lactatio n. Milk weights that were representative of monthly, a.m.-p.m., and trimont hly test plans were examined to compare the accuracy of best prediction and test interval methods for estimating lactation yield. Individual milk weig hts or daily yields of 658 Canadian cows in 17 herds were selected to corre spond to test intervals for 100,000 US cows. For a.m.-p.m. testing, the ini tial milk weight that was credited was selected randomly from the a.m. or p .m. milking and was alternated thereafter. Trimonthly credits were from one of the first three designated test day weights, selected randomly, and eac h third designated test weight thereafter. Correlations between 305-d actua l lactation yield and lactation estimates by the test interval method were 0.97, 0.96, and 0.93 for monthly, a.m.-p.m., and trimonthly testing, respec tively. Corresponding correlations for the best prediction method were 0.97 , 0.97, and 0.93. Standard deviations of differences between estimated and 305-d actual yields for monthly, a.m.-p.m., and trimonthly testing were 373 , 400, and 546 kg, respectively, for best prediction regressed on herd mean , which was a reduction in estimation error of 4, 6, and 10% over the test interval method. The advantage of best prediction was moderate if two milk weights were recorded monthly and was larger if testing was less frequent. Advantages also were found for fat and protein yields estimated by multitra it best prediction for records with reduced component sampling.