Aarhus University Seal / Aarhus Universitets segl

Estimation of genetic parameters for predicted nitrogen use efficiency and losses in early lactation of Holstein cows

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Standard

Estimation of genetic parameters for predicted nitrogen use efficiency and losses in early lactation of Holstein cows. / Chen, Y.; Vanderick, S.; Mota, R.R. et al.

In: Journal of Dairy Science, Vol. 104, No. 4, 04.2021, p. 4413-4423.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Harvard

Chen, Y, Vanderick, S, Mota, RR, Grelet, C, GplusE Consortium & Gengler, N 2021, 'Estimation of genetic parameters for predicted nitrogen use efficiency and losses in early lactation of Holstein cows', Journal of Dairy Science, vol. 104, no. 4, pp. 4413-4423. https://doi.org/10.3168/jds.2020-18849

APA

Chen, Y., Vanderick, S., Mota, R. R., Grelet, C., GplusE Consortium, & Gengler, N. (2021). Estimation of genetic parameters for predicted nitrogen use efficiency and losses in early lactation of Holstein cows. Journal of Dairy Science, 104(4), 4413-4423. https://doi.org/10.3168/jds.2020-18849

CBE

Chen Y, Vanderick S, Mota RR, Grelet C, GplusE Consortium, Gengler N. 2021. Estimation of genetic parameters for predicted nitrogen use efficiency and losses in early lactation of Holstein cows. Journal of Dairy Science. 104(4):4413-4423. https://doi.org/10.3168/jds.2020-18849

MLA

Vancouver

Chen Y, Vanderick S, Mota RR, Grelet C, GplusE Consortium, Gengler N. Estimation of genetic parameters for predicted nitrogen use efficiency and losses in early lactation of Holstein cows. Journal of Dairy Science. 2021 Apr;104(4):4413-4423. https://doi.org/10.3168/jds.2020-18849

Author

Chen, Y. ; Vanderick, S. ; Mota, R.R. et al. / Estimation of genetic parameters for predicted nitrogen use efficiency and losses in early lactation of Holstein cows. In: Journal of Dairy Science. 2021 ; Vol. 104, No. 4. pp. 4413-4423.

Bibtex

@article{28d875a999134c8285ba1f0f7e07911d,
title = "Estimation of genetic parameters for predicted nitrogen use efficiency and losses in early lactation of Holstein cows",
abstract = "The objective of this study was to estimate genetic parameters of predicted N use efficiency (PNUE) and N losses (PNL) as proxies of N use and loss for Holstein cows. Furthermore, we have assessed approximate genetic correlations between PNUE, PNL, and dairy production, health, longevity, and conformation traits. These traits are considered important in many countries and are currently evaluated by the International Bull Evaluation Service (Interbull). The values of PNUE and PNL were obtained by using the combined milk mid-infrared (MIR) spectrum, parity, and milk yield–based prediction equations on test-day MIR records with days in milk (DIM) between 5 and 50 d. After editing, the final data set comprised 46,163 records of 21,462 cows from 154 farms in 5 countries. Each trait was divided into primiparous and multiparous (including second to fifth parity) groups. Genetic parameters and breeding values were estimated by using a multitrait (2-trait, 2-parity classes) repeatability model. Herd-year-season of calving, DIM, age of calving, and parity were used as fixed effects. Random effects were defined as parity (within-parity permanent environment), nongenetic cow (across-parity permanent environment), additive genetic animal, and residual effects. The estimated heritability of PNUE and PNL in the first and later parity were 0.13, 0.12, 0.14, and 0.13, and the repeatability values were 0.49, 0.40, 0.55, and 0.43, respectively. The estimated approximate genetic correlations between PNUE and PNL were negative and high (from −0.89 to −0.53), whereas the phenotypic correlations were also negative but relatively low (from −0.45 to −0.11). At a level of reliability of more than 0.30 for all novel traits, a total of 504 bulls born after 1995 had also publishable Interbull multiple-trait across-country estimated breeding values (EBV). The approximate genetic correlations between PNUE and the other 30 traits of interest, estimated as corrected correlations between EBV of bulls, ranged from −0.46 (udder depth) to 0.47 (milk yield). Obtained results showed the complex genetic relationship between efficiency, production, and other traits: for instance, more efficient cows seem to give more milk, which is linked to deeper udders, but seem to have lower health, fertility, and longevity. Additionally, the approximate genetic correlations between PNL, lower values representing less loss of N, and the 30 other traits, were from −0.32 (angularity) to 0.57 (direct calving ease). Even if further research is needed, our results provided preliminary evidence that the PNUE and PNL traits used as proxies could be included in genetic improvement programs in Holstein cows and could help their management.",
keywords = "genetic correlation, heritability, indirect selection, repeatability model, mid-infrared spectrum",
author = "Y. Chen and S. Vanderick and R.R. Mota and Clement Grelet and {GplusE Consortium} and Nicolas Gengler and Leslie Foldager and Torben Larsen and Tine Rousing and Jehan Ettema and S{\o}ren {\O}stergaard and S{\o}rensen, {Martin Tang} and Ingvartsen, {Klaus L{\o}nne}",
year = "2021",
month = apr,
doi = "10.3168/jds.2020-18849",
language = "English",
volume = "104",
pages = "4413--4423",
journal = "Journal of Dairy Science",
issn = "0022-0302",
publisher = "Elsevier Inc.",
number = "4",

}

RIS

TY - JOUR

T1 - Estimation of genetic parameters for predicted nitrogen use efficiency and losses in early lactation of Holstein cows

AU - Chen, Y.

AU - Vanderick, S.

AU - Mota, R.R.

AU - Grelet, Clement

AU - GplusE Consortium

AU - Gengler, Nicolas

AU - Foldager, Leslie

AU - Larsen, Torben

AU - Rousing, Tine

AU - Ettema, Jehan

AU - Østergaard, Søren

AU - Sørensen, Martin Tang

AU - Ingvartsen, Klaus Lønne

PY - 2021/4

Y1 - 2021/4

N2 - The objective of this study was to estimate genetic parameters of predicted N use efficiency (PNUE) and N losses (PNL) as proxies of N use and loss for Holstein cows. Furthermore, we have assessed approximate genetic correlations between PNUE, PNL, and dairy production, health, longevity, and conformation traits. These traits are considered important in many countries and are currently evaluated by the International Bull Evaluation Service (Interbull). The values of PNUE and PNL were obtained by using the combined milk mid-infrared (MIR) spectrum, parity, and milk yield–based prediction equations on test-day MIR records with days in milk (DIM) between 5 and 50 d. After editing, the final data set comprised 46,163 records of 21,462 cows from 154 farms in 5 countries. Each trait was divided into primiparous and multiparous (including second to fifth parity) groups. Genetic parameters and breeding values were estimated by using a multitrait (2-trait, 2-parity classes) repeatability model. Herd-year-season of calving, DIM, age of calving, and parity were used as fixed effects. Random effects were defined as parity (within-parity permanent environment), nongenetic cow (across-parity permanent environment), additive genetic animal, and residual effects. The estimated heritability of PNUE and PNL in the first and later parity were 0.13, 0.12, 0.14, and 0.13, and the repeatability values were 0.49, 0.40, 0.55, and 0.43, respectively. The estimated approximate genetic correlations between PNUE and PNL were negative and high (from −0.89 to −0.53), whereas the phenotypic correlations were also negative but relatively low (from −0.45 to −0.11). At a level of reliability of more than 0.30 for all novel traits, a total of 504 bulls born after 1995 had also publishable Interbull multiple-trait across-country estimated breeding values (EBV). The approximate genetic correlations between PNUE and the other 30 traits of interest, estimated as corrected correlations between EBV of bulls, ranged from −0.46 (udder depth) to 0.47 (milk yield). Obtained results showed the complex genetic relationship between efficiency, production, and other traits: for instance, more efficient cows seem to give more milk, which is linked to deeper udders, but seem to have lower health, fertility, and longevity. Additionally, the approximate genetic correlations between PNL, lower values representing less loss of N, and the 30 other traits, were from −0.32 (angularity) to 0.57 (direct calving ease). Even if further research is needed, our results provided preliminary evidence that the PNUE and PNL traits used as proxies could be included in genetic improvement programs in Holstein cows and could help their management.

AB - The objective of this study was to estimate genetic parameters of predicted N use efficiency (PNUE) and N losses (PNL) as proxies of N use and loss for Holstein cows. Furthermore, we have assessed approximate genetic correlations between PNUE, PNL, and dairy production, health, longevity, and conformation traits. These traits are considered important in many countries and are currently evaluated by the International Bull Evaluation Service (Interbull). The values of PNUE and PNL were obtained by using the combined milk mid-infrared (MIR) spectrum, parity, and milk yield–based prediction equations on test-day MIR records with days in milk (DIM) between 5 and 50 d. After editing, the final data set comprised 46,163 records of 21,462 cows from 154 farms in 5 countries. Each trait was divided into primiparous and multiparous (including second to fifth parity) groups. Genetic parameters and breeding values were estimated by using a multitrait (2-trait, 2-parity classes) repeatability model. Herd-year-season of calving, DIM, age of calving, and parity were used as fixed effects. Random effects were defined as parity (within-parity permanent environment), nongenetic cow (across-parity permanent environment), additive genetic animal, and residual effects. The estimated heritability of PNUE and PNL in the first and later parity were 0.13, 0.12, 0.14, and 0.13, and the repeatability values were 0.49, 0.40, 0.55, and 0.43, respectively. The estimated approximate genetic correlations between PNUE and PNL were negative and high (from −0.89 to −0.53), whereas the phenotypic correlations were also negative but relatively low (from −0.45 to −0.11). At a level of reliability of more than 0.30 for all novel traits, a total of 504 bulls born after 1995 had also publishable Interbull multiple-trait across-country estimated breeding values (EBV). The approximate genetic correlations between PNUE and the other 30 traits of interest, estimated as corrected correlations between EBV of bulls, ranged from −0.46 (udder depth) to 0.47 (milk yield). Obtained results showed the complex genetic relationship between efficiency, production, and other traits: for instance, more efficient cows seem to give more milk, which is linked to deeper udders, but seem to have lower health, fertility, and longevity. Additionally, the approximate genetic correlations between PNL, lower values representing less loss of N, and the 30 other traits, were from −0.32 (angularity) to 0.57 (direct calving ease). Even if further research is needed, our results provided preliminary evidence that the PNUE and PNL traits used as proxies could be included in genetic improvement programs in Holstein cows and could help their management.

KW - genetic correlation

KW - heritability

KW - indirect selection

KW - repeatability model

KW - mid-infrared spectrum

UR - http://www.scopus.com/inward/record.url?scp=85100409169&partnerID=8YFLogxK

U2 - 10.3168/jds.2020-18849

DO - 10.3168/jds.2020-18849

M3 - Journal article

C2 - 33551153

VL - 104

SP - 4413

EP - 4423

JO - Journal of Dairy Science

JF - Journal of Dairy Science

SN - 0022-0302

IS - 4

ER -