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Inclusion of partial lactations in the genetic analysis of yield traits by differential weighting of records.
Year:
1988
Source of publication :
Journal of Dairy Science
Authors :
Weller, Joel Ira
;
.
Volume :
71
Co-Authors:
Weller, J.I., Institute of Animal Sciences, Agricultural Research Organization, Bet Dagan, Israel.
Facilitators :
From page:
1873
To page:
1879
(
Total pages:
7
)
Abstract:
Mixed model equations are constructed using the convention of regression on dummy variables that are given values of either unity (presence of the effect) or zero (absence of the effect). In the proposed method, incomplete records were included by computing regression coefficients of sire effects as the regression of the effect on the partial record on the same effect on the complete record. Partial and complete records were treated equally for other effects. Regression and the error components of variance were estimated as simple functions of the length of the partial records. The only additional computation required in sire evaluation was the differential weighting of records in the construction of the mixed model equations. This method was tested on field data and was slightly more accurate than evaluations including partial records without differential weighting and significantly more accurate than evaluations obtained with partial records deleted.
Note:
Related Files :
Animal
cattle
Female
Genetics
genetic selection
lactation
Male
Models, Genetic
pregnancy
Selection (Genetics)
Show More
Related Content
More details
DOI :
Article number:
Affiliations:
Database:
Scopus
Publication Type:
article
;
.
Language:
English
Editors' remarks:
ID:
19423
Last updated date:
02/03/2022 17:27
Creation date:
16/04/2018 23:28
Scientific Publication
Inclusion of partial lactations in the genetic analysis of yield traits by differential weighting of records.
71
Weller, J.I., Institute of Animal Sciences, Agricultural Research Organization, Bet Dagan, Israel.
Inclusion of partial lactations in the genetic analysis of yield traits by differential weighting of records.
Mixed model equations are constructed using the convention of regression on dummy variables that are given values of either unity (presence of the effect) or zero (absence of the effect). In the proposed method, incomplete records were included by computing regression coefficients of sire effects as the regression of the effect on the partial record on the same effect on the complete record. Partial and complete records were treated equally for other effects. Regression and the error components of variance were estimated as simple functions of the length of the partial records. The only additional computation required in sire evaluation was the differential weighting of records in the construction of the mixed model equations. This method was tested on field data and was slightly more accurate than evaluations including partial records without differential weighting and significantly more accurate than evaluations obtained with partial records deleted.
Scientific Publication
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