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Estimated breeding values and association mapping for persistency and total milk yield using natural cubic smoothing splines

BACKGROUND: For dairy producers, a reliable description of lactation curves is a valuable tool for management and selection. From a breeding and production viewpoint, milk yield persistency and total milk yield are important traits. Understanding the genetic drivers for the phenotypic variation of b...

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Autores principales: Verbyla, Klara L, Verbyla, Arunas P
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2785761/
https://www.ncbi.nlm.nih.gov/pubmed/19891765
http://dx.doi.org/10.1186/1297-9686-41-48
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author Verbyla, Klara L
Verbyla, Arunas P
author_facet Verbyla, Klara L
Verbyla, Arunas P
author_sort Verbyla, Klara L
collection PubMed
description BACKGROUND: For dairy producers, a reliable description of lactation curves is a valuable tool for management and selection. From a breeding and production viewpoint, milk yield persistency and total milk yield are important traits. Understanding the genetic drivers for the phenotypic variation of both these traits could provide a means for improving these traits in commercial production. METHODS: It has been shown that Natural Cubic Smoothing Splines (NCSS) can model the features of lactation curves with greater flexibility than the traditional parametric methods. NCSS were used to model the sire effect on the lactation curves of cows. The sire solutions for persistency and total milk yield were derived using NCSS and a whole-genome approach based on a hierarchical model was developed for a large association study using single nucleotide polymorphisms (SNP). RESULTS: Estimated sire breeding values (EBV) for persistency and milk yield were calculated using NCSS. Persistency EBV were correlated with peak yield but not with total milk yield. Several SNP were found to be associated with both traits and these were used to identify candidate genes for further investigation. CONCLUSION: NCSS can be used to estimate EBV for lactation persistency and total milk yield, which in turn can be used in whole-genome association studies.
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spelling pubmed-27857612009-12-01 Estimated breeding values and association mapping for persistency and total milk yield using natural cubic smoothing splines Verbyla, Klara L Verbyla, Arunas P Genet Sel Evol Research BACKGROUND: For dairy producers, a reliable description of lactation curves is a valuable tool for management and selection. From a breeding and production viewpoint, milk yield persistency and total milk yield are important traits. Understanding the genetic drivers for the phenotypic variation of both these traits could provide a means for improving these traits in commercial production. METHODS: It has been shown that Natural Cubic Smoothing Splines (NCSS) can model the features of lactation curves with greater flexibility than the traditional parametric methods. NCSS were used to model the sire effect on the lactation curves of cows. The sire solutions for persistency and total milk yield were derived using NCSS and a whole-genome approach based on a hierarchical model was developed for a large association study using single nucleotide polymorphisms (SNP). RESULTS: Estimated sire breeding values (EBV) for persistency and milk yield were calculated using NCSS. Persistency EBV were correlated with peak yield but not with total milk yield. Several SNP were found to be associated with both traits and these were used to identify candidate genes for further investigation. CONCLUSION: NCSS can be used to estimate EBV for lactation persistency and total milk yield, which in turn can be used in whole-genome association studies. BioMed Central 2009-11-05 /pmc/articles/PMC2785761/ /pubmed/19891765 http://dx.doi.org/10.1186/1297-9686-41-48 Text en Copyright ©2009 Verbyla and Verbyla; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Verbyla, Klara L
Verbyla, Arunas P
Estimated breeding values and association mapping for persistency and total milk yield using natural cubic smoothing splines
title Estimated breeding values and association mapping for persistency and total milk yield using natural cubic smoothing splines
title_full Estimated breeding values and association mapping for persistency and total milk yield using natural cubic smoothing splines
title_fullStr Estimated breeding values and association mapping for persistency and total milk yield using natural cubic smoothing splines
title_full_unstemmed Estimated breeding values and association mapping for persistency and total milk yield using natural cubic smoothing splines
title_short Estimated breeding values and association mapping for persistency and total milk yield using natural cubic smoothing splines
title_sort estimated breeding values and association mapping for persistency and total milk yield using natural cubic smoothing splines
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2785761/
https://www.ncbi.nlm.nih.gov/pubmed/19891765
http://dx.doi.org/10.1186/1297-9686-41-48
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