Evaluation of centring date, test-interval and sample-day production methods of computing lactation yield from AM and PM sample-day records*
Indian Agricultural Research Journals
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Title |
Evaluation of centring date, test-interval and sample-day production methods of computing lactation yield from AM and PM sample-day records*
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Creator |
LIKHI, A K
KHANNA, A S JAISWAL, U C |
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Subject |
—
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Description |
The study was conducted on the data pertaining to 646 lactations (commenced over 1969-85) of Holstein-Friesian x Hariana halfbred cattle, maintained in the Department of Animal Breeding, CCS HAU, Hisar, to compare the efficiency of sample-day recording systems for estimating lactation yield. Centring date method resulted in similar error of estimation and higher sampling error in comparison to test-interval and sample-day production methods. The later two methods did not differ significantly. Though the trend remained similar for all the sampling intervals, there was a gradual increase in estimation and sampling error with an increase in sampling interval (30, 40, 50 and 60 days). Among sampling plans, AM - PM and PM - AM (alternate once-a-day sampling with first sample in the evening or morning) gave results closer to twice-a-day (AM + PM) recording. All-AM and All-PM plans lend to significantly over- and under-estimate the lactation yield respectively. Sampling once-aday at shorter intervals (30 or 40 days) estimated the lactation yield with similar results as with twicea-day longer interval sampling.
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Publisher |
Directorate of Knowledge Management in Agriculture
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Contributor |
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Date |
2013-10-14
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Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion — |
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Format |
application/pdf
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Identifier |
http://epubs.icar.org.in/ejournal/index.php/IJAnS/article/view/33943
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Source |
The Indian Journal of Animal Sciences; Vol 65, No 11 (1995)
0367-8318 |
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Language |
eng
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Relation |
http://epubs.icar.org.in/ejournal/index.php/IJAnS/article/view/33943/15048
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Rights |
Copyright (c) 2014 The Indian Journal of Animal Sciences
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