TY - JOUR
T1 - Genetic parameters for milk urea and its relationship with milk yield and compositions in Holstein dairy cows
AU - Atashi, Hadi
AU - Hostens, Miel
AU - Crowe, Mark
AU - McLoughlin, Niamh
AU - Fahey, Alan
AU - Carter, Fiona
AU - Matthews, Elizabeth
AU - Santoro, Andreia
AU - Byrne, Colin
AU - Rudd, Pauline
AU - O'Flaherty, Roisin
AU - Hallinan, Sinead
AU - Wathes, Claire
AU - Salavati, Mazdak
AU - Cheng, Zhangrui
AU - Fouladi, Ali
AU - Pollott, Geoff
AU - Werling, Dirk
AU - Bernardo, Beatriz Sanz
AU - Ferris, Conrad
AU - Wylie, Alistair
AU - Bell, Matt
AU - Vaneetvelde, Mieke
AU - Hermans, Kristof
AU - Opsomer, Geert
AU - Moerman, Sander
AU - de Koster, Jenne
AU - Bogaert, Hannes
AU - Vandepitte, Jan
AU - Vandevelde, Leila
AU - Van-Ranst, Bonny
AU - Ingvartsen, Klaus
AU - Sorensen, Martin Tang
AU - Hoglund, Johanna
AU - Dahl, Susanne
AU - Ostergaard, Soren
AU - Rothmann, Janne
AU - Krogh, Mogens
AU - Meyer, Else
AU - Foldager, Leslie
AU - Gaillard, Charlotte
AU - Ettema, Jehan
AU - Rousing, Tine
AU - Larsen, Torben
AU - Silva de Oliveira, Victor H.
AU - Marchitelli, Cinzia
AU - Signorelli, Federica
AU - Napolitano, Francesco
AU - Moioli, Bianca Moioli
AU - Crisà, Alessandra
AU - Buttazzoni, Luca
AU - McClure, Jennifer
AU - Matthews, Daragh
AU - Kearney, Francis
AU - Cromie, Andrew
AU - McClure, Matt
AU - Zhang, Shujun
AU - Chen, Xing
AU - Chen, Huanchun
AU - Zhao, Junlong
AU - Yang, Liguo
AU - Hua, Guohua
AU - Tan, Chen
AU - Wang, Guiqiang
AU - Bonneau, Michel
AU - Sciarretta, Marlène
AU - Pearn, Armin
AU - Evertson, Arnold
AU - Kosten, Linda
AU - Fogh, Anders
AU - Andersen, Thomas
AU - Lucy, Matthew
AU - Elsik, Chris
AU - Conant, Gavin
AU - Taylor, Jerry
AU - Triant, Deborah
AU - Gengler, Nicolas
AU - Georges, Michel
AU - Colinet, Frederic
AU - Pamplona, Marilou Ramos
AU - the GplusE Consortium
N1 - Publisher Copyright:
Copyright: © 2021 Atashi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2021/6/18
Y1 - 2021/6/18
N2 - The aim was to estimate genetic parameters for milk urea (MU) concentration and its relationship with milk yield and compositions in Holstein dairy Cows. Edited data were 90,594 test-day records of milk yield and composition collected during 2015 to 2018 on 13,737 lactations obtained from 7,850 Holstein cows in 50 herds. Random regression test-day model was used to estimate genetic parameters. (Co)variance components were estimated with the Bayesian Gibbs sampling method using a single chain of 400,000 iterates. The first 50,000 iterates of each chain were regarded as a burn-in period. Mean (SD) of MU was 23.03 (5.99) and 22.41 (5.74) mg/dl in primiparous and multiparous cows, respectively. Average heritability estimates for daily MU was 0.33 (SD = 0.02) ranged 0.29 to 0.36 and 0.32 (SD = 0.03) ranged 0.27 to 0.34, respectively, for primiparous and multiparous cows. The mean (SD) genetic correlation between MU and milk yield, fat yield, protein yield, lactose yield, fat percentage, protein percentage, lactose percentage, and somatic cell score was, respectively, -0.02 (0.03), -0.02 (0.01), 0.01 (0.04), 0.01 (0.03), 0.00 (0.07), -0.03 (0.04), 0.00 (0.01), -0.11 (0.06) in primiparous cows. The corresponding values in multiparous cows were -0.01 (0.02), -0.01 (0.03), -0.04 (0.04), -0.04 (0.04), 0.04 (0.04), 0.04 (0.07), -0.03 (0.09), 0.06 (0.11), respectively. The results indicate that selection on MU is possible with no effect on milk yield or compositions, however, relationships between MU and other important traits such as longevity, metabolic diseases, and fertility are needed.
AB - The aim was to estimate genetic parameters for milk urea (MU) concentration and its relationship with milk yield and compositions in Holstein dairy Cows. Edited data were 90,594 test-day records of milk yield and composition collected during 2015 to 2018 on 13,737 lactations obtained from 7,850 Holstein cows in 50 herds. Random regression test-day model was used to estimate genetic parameters. (Co)variance components were estimated with the Bayesian Gibbs sampling method using a single chain of 400,000 iterates. The first 50,000 iterates of each chain were regarded as a burn-in period. Mean (SD) of MU was 23.03 (5.99) and 22.41 (5.74) mg/dl in primiparous and multiparous cows, respectively. Average heritability estimates for daily MU was 0.33 (SD = 0.02) ranged 0.29 to 0.36 and 0.32 (SD = 0.03) ranged 0.27 to 0.34, respectively, for primiparous and multiparous cows. The mean (SD) genetic correlation between MU and milk yield, fat yield, protein yield, lactose yield, fat percentage, protein percentage, lactose percentage, and somatic cell score was, respectively, -0.02 (0.03), -0.02 (0.01), 0.01 (0.04), 0.01 (0.03), 0.00 (0.07), -0.03 (0.04), 0.00 (0.01), -0.11 (0.06) in primiparous cows. The corresponding values in multiparous cows were -0.01 (0.02), -0.01 (0.03), -0.04 (0.04), -0.04 (0.04), 0.04 (0.04), 0.04 (0.07), -0.03 (0.09), 0.06 (0.11), respectively. The results indicate that selection on MU is possible with no effect on milk yield or compositions, however, relationships between MU and other important traits such as longevity, metabolic diseases, and fertility are needed.
KW - Animals
KW - Bayes Theorem
KW - Cattle
KW - Fats/analysis
KW - Female
KW - Milk/chemistry
KW - Urea/analysis
UR - http://www.scopus.com/inward/record.url?scp=85108199712&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0253191
DO - 10.1371/journal.pone.0253191
M3 - Article
C2 - 34143805
AN - SCOPUS:85108199712
SN - 1932-6203
VL - 16
JO - PLoS ONE
JF - PLoS ONE
IS - 6
M1 - e0253191
ER -