Development of an index to rank dairy females on expected lifetime profit
dc.contributor.author | Kelleher, Margaret M. | * |
dc.contributor.author | Amer, P. R. | * |
dc.contributor.author | Shalloo, Laurence | * |
dc.contributor.author | Evans, R. D. | * |
dc.contributor.author | Byrne, T. J. | * |
dc.contributor.author | Buckley, Frank | * |
dc.contributor.author | Berry, Donagh | * |
dc.date.accessioned | 2018-08-16T13:51:54Z | |
dc.date.available | 2018-08-16T13:51:54Z | |
dc.date.issued | 2015-03 | |
dc.identifier.citation | M.M. Kelleher, P.R. Amer, L. Shalloo, R.D. Evans, T.J. Byrne, F. Buckley, D.P. Berry, Development of an index to rank dairy females on expected lifetime profit, Journal of Dairy Science, 2015, 98(6), 4225-4239, doi:https://doi.org/10.3168/jds.2014-9073 | en_US |
dc.identifier.uri | http://hdl.handle.net/11019/1588 | |
dc.description | peer-reviewed | en_US |
dc.description.abstract | The objective of this study was to develop an index to rank dairy females on expected profit for the remainder of their lifetime, taking cognizance of both additive and nonadditive genetic merit, permanent environmental effects, and current states of the animal including the most recent calving date and cow parity. The cow own worth (COW) index is intended to be used for culling the expected least profitable females in a herd, as well as inform purchase and pricing decisions for trading of females. The framework of the COW index consisted of the profit accruing from (1) the current lactation, (2) future lactations, and (3) net replacement cost differential. The COW index was generated from estimated performance values (sum of additive genetic merit, nonadditive genetic merit, and permanent environmental effects) of traits, their respective net margin values, and transition probability matrices for month of calving, survival, and somatic cell count; the transition matrices were to account for predicted change in a cow’s state in the future. Transition matrices were generated from 3,156,109 lactation records from the Irish national database between the years 2010 and 2013. Phenotypic performance records for 162,981 cows in the year 2012 were used to validate the COW index. Genetic and permanent environmental effects (where applicable) were available for these cows from the 2011 national genetic evaluations and used to calculate the COW index and their national breeding index values (includes only additive genetic effects). Cows were stratified per quartile within herd, based on their COW index value and national breeding index value. The correlation between individual animal COW index value and national breeding index value was 0.65. Month of calving of the cow in her current lactation explained 18% of the variation in the COW index, with the parity of the cow explaining an additional 3 percentage units of the variance in the COW index. Females ranking higher on the COW index yielded more milk and milk solids and calved earlier in the calving season than their lower ranking contemporaries. The difference in phenotypic performance between the best and worst quartiles was larger for cows ranked on COW index than cows ranked on the national breeding index. The COW index is useful to rank females before culling or purchasing decisions on expected profit and is complementary to the national breeding index, which identifies the most suitable females for breeding replacements. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier for American Dairy Science Association | en_US |
dc.relation.ispartofseries | Journal of Dairy Science;vol 98 | |
dc.rights | Attribution-NonCommercial-ShareAlike 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/us/ | * |
dc.subject | Genetic | en_US |
dc.subject | heterosis | en_US |
dc.subject | recombination | en_US |
dc.subject | permanent environment | en_US |
dc.title | Development of an index to rank dairy females on expected lifetime profit | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.3168/jds.2014-9073 | |
refterms.dateFOA | 2018-08-16T13:51:55Z |
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