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Søren Østergaard

Defining and using novel milk composition based heat stress resilience traits in the context of genomic selection for more robust dairy cows in Wallonia

Publikation: Bidrag til bog/antologi/rapport/proceedingKonferenceabstrakt i proceedingsForskningpeer review

Standard

Defining and using novel milk composition based heat stress resilience traits in the context of genomic selection for more robust dairy cows in Wallonia. / Mineur, A.; Mota, R.; Gengler, Nicolas; Vanderick, S.; Hammami, H.; GplusE Consortium.

Proceedings of the ICAR Conference. red. / J. Bryant; M. Burke; R. Cook; B. Harris; C. Mosconi; B. Wickham. Bind 23 2018. s. 229-234 (ICAR Technical Series).

Publikation: Bidrag til bog/antologi/rapport/proceedingKonferenceabstrakt i proceedingsForskningpeer review

Harvard

Mineur, A, Mota, R, Gengler, N, Vanderick, S, Hammami, H & GplusE Consortium 2018, Defining and using novel milk composition based heat stress resilience traits in the context of genomic selection for more robust dairy cows in Wallonia. i J Bryant, M Burke, R Cook, B Harris, C Mosconi & B Wickham (red), Proceedings of the ICAR Conference. bind 23, ICAR Technical Series, s. 229-234, ICAR Conference, Auckland, New Zealand, 10/02/2018. <https://www.icar.org/wp-content/uploads/2018/07/ICAR-Technical-Series-23-Auckland-2018-Proceedings.pdf>

APA

Mineur, A., Mota, R., Gengler, N., Vanderick, S., Hammami, H., & GplusE Consortium (2018). Defining and using novel milk composition based heat stress resilience traits in the context of genomic selection for more robust dairy cows in Wallonia. I J. Bryant, M. Burke, R. Cook, B. Harris, C. Mosconi, & B. Wickham (red.), Proceedings of the ICAR Conference (Bind 23, s. 229-234). ICAR Technical Series https://www.icar.org/wp-content/uploads/2018/07/ICAR-Technical-Series-23-Auckland-2018-Proceedings.pdf

CBE

Mineur A, Mota R, Gengler N, Vanderick S, Hammami H, GplusE Consortium. 2018. Defining and using novel milk composition based heat stress resilience traits in the context of genomic selection for more robust dairy cows in Wallonia. Bryant J, Burke M, Cook R, Harris B, Mosconi C, Wickham B, red. I Proceedings of the ICAR Conference. s. 229-234. (ICAR Technical Series).

MLA

Mineur, A. o.a.. "Defining and using novel milk composition based heat stress resilience traits in the context of genomic selection for more robust dairy cows in Wallonia"., Bryant, J., Burke, M. og Cook, R. Harris, B. Mosconi, C. Wickham, B. (red.). Proceedings of the ICAR Conference. (ICAR Technical Series). 2018, 229-234.

Vancouver

Mineur A, Mota R, Gengler N, Vanderick S, Hammami H, GplusE Consortium. Defining and using novel milk composition based heat stress resilience traits in the context of genomic selection for more robust dairy cows in Wallonia. I Bryant J, Burke M, Cook R, Harris B, Mosconi C, Wickham B, red., Proceedings of the ICAR Conference. Bind 23. 2018. s. 229-234. (ICAR Technical Series).

Author

Mineur, A. ; Mota, R. ; Gengler, Nicolas ; Vanderick, S. ; Hammami, H. ; GplusE Consortium. / Defining and using novel milk composition based heat stress resilience traits in the context of genomic selection for more robust dairy cows in Wallonia. Proceedings of the ICAR Conference. red. / J. Bryant ; M. Burke ; R. Cook ; B. Harris ; C. Mosconi ; B. Wickham. Bind 23 2018. s. 229-234 (ICAR Technical Series).

Bibtex

@inbook{33c68c591ffc41918cd23bf94f2f7f95,
title = "Defining and using novel milk composition based heat stress resilience traits in the context of genomic selection for more robust dairy cows in Wallonia",
abstract = "Recent research showed the usefulness of using estimated breeding values (EBV)for mid-infrared (MIR) based biomarkers in genetic improvement. A novel class ofbiomarkers was defined based on modelling responses of milk composition(e.g., mid-infrared (MIR) based) to stress expressed on continuous scales usingreaction norm models. Heat stress is an important aspect of dairy production even in temperate climates as shown in recent studies. Implementation of genomic selection for tolerance to heat stress is therefore not only an issue for Australian dairy cattle, a country that recently introduced such an evaluation. The question remains open if using milk composition based heat stress resilience genomically enhanced EBV (GEBV) is not a viable option. Genetic parameters were estimated for production, udder health, and milk composition traits. Data included 155,977 test-day records for milk, fat, and protein yields, fat and protein percentages, 9 individual milk fatty acids (FA), 7 FA groups, 5 minerals, and 3 ketone bodies predicted by mid-infrared spectrometry, and 7 FA groups. Data were from 21,375 first-lactation Holstein cows in 473 herds in the Walloon region of Belgium and were collected between 2008 and 2014. Test-day records were merged with daily temperature-humidity index (THI) values based on meteorological records from public weather stations. The maximumdistance between each farm and its corresponding weather station was 13 km. Linear reaction norm models were used to estimate the intercept and slope responses of 23 traits to increasing THI values. Most yield and FA traits had phenotypic and genetic declines as THI increased, whereas C18:0, C18:1 cis-9, and 4 FA groups (unsaturated FA, monounsaturated FA, polyunsaturated FA, and long-chain FA) increased with THI. Moreover, the latter traits had the largest slope-to-intercept genetic variance ratios, which indicate that they are more affected by heat stress at high THI levels, and therefore good candidate traits. Among all traits, C18:1 cis-9 was the most sensitive to heat stress. As this trait is known to reflect body reserve mobilization, using its response to THI could be a very affordable milk biomarker of heat stress for dairy cattle, expressing the equilibrium between intake and mobilization, and therefore adaptation, under warm conditions. By including novel milk based composition traits to traditional production traits, correlations between EBVs and GEBVs of those milk based traits and udder health, fertility and longevity increased considerably. Thisstudy demonstrated that milk composition resilience heat stress traits could be used as early indicators of robustness traits. Our results also suggest that marker information tend to lead to higher accuracies of prediction. Therefore, new options to improve robustness through genomic selection in Walloon Holsteins are now available.",
keywords = "milk MIR spectra, resilience, genetic improvement, genomic selection",
author = "A. Mineur and R. Mota and Nicolas Gengler and S. Vanderick and H. Hammami and {GplusE Consortium} and Leslie Foldager and Torben Larsen and Tine Rousing and Krogh, {Mogens Agerbo} and Jehan Ettema and S{\o}ren {\O}stergaard and S{\o}rensen, {Martin Tang} and Ingvartsen, {Klaus L{\o}nne}",
year = "2018",
language = "English",
isbn = "92-95014-19-7",
volume = "23",
series = "ICAR Technical Series",
publisher = "ICAR, Via G. Tomassetti 3, 1/A, 00161 Rome, Italy",
pages = "229--234",
editor = "J. Bryant and M. Burke and R. Cook and B. Harris and C. Mosconi and B. Wickham",
booktitle = "Proceedings of the ICAR Conference",
note = "ICAR Conference ; Conference date: 10-02-2018 Through 11-02-2018",

}

RIS

TY - ABST

T1 - Defining and using novel milk composition based heat stress resilience traits in the context of genomic selection for more robust dairy cows in Wallonia

AU - Mineur, A.

AU - Mota, R.

AU - Gengler, Nicolas

AU - Vanderick, S.

AU - Hammami, H.

AU - GplusE Consortium

AU - Foldager, Leslie

AU - Larsen, Torben

AU - Rousing, Tine

AU - Krogh, Mogens Agerbo

AU - Ettema, Jehan

AU - Østergaard, Søren

AU - Sørensen, Martin Tang

AU - Ingvartsen, Klaus Lønne

PY - 2018

Y1 - 2018

N2 - Recent research showed the usefulness of using estimated breeding values (EBV)for mid-infrared (MIR) based biomarkers in genetic improvement. A novel class ofbiomarkers was defined based on modelling responses of milk composition(e.g., mid-infrared (MIR) based) to stress expressed on continuous scales usingreaction norm models. Heat stress is an important aspect of dairy production even in temperate climates as shown in recent studies. Implementation of genomic selection for tolerance to heat stress is therefore not only an issue for Australian dairy cattle, a country that recently introduced such an evaluation. The question remains open if using milk composition based heat stress resilience genomically enhanced EBV (GEBV) is not a viable option. Genetic parameters were estimated for production, udder health, and milk composition traits. Data included 155,977 test-day records for milk, fat, and protein yields, fat and protein percentages, 9 individual milk fatty acids (FA), 7 FA groups, 5 minerals, and 3 ketone bodies predicted by mid-infrared spectrometry, and 7 FA groups. Data were from 21,375 first-lactation Holstein cows in 473 herds in the Walloon region of Belgium and were collected between 2008 and 2014. Test-day records were merged with daily temperature-humidity index (THI) values based on meteorological records from public weather stations. The maximumdistance between each farm and its corresponding weather station was 13 km. Linear reaction norm models were used to estimate the intercept and slope responses of 23 traits to increasing THI values. Most yield and FA traits had phenotypic and genetic declines as THI increased, whereas C18:0, C18:1 cis-9, and 4 FA groups (unsaturated FA, monounsaturated FA, polyunsaturated FA, and long-chain FA) increased with THI. Moreover, the latter traits had the largest slope-to-intercept genetic variance ratios, which indicate that they are more affected by heat stress at high THI levels, and therefore good candidate traits. Among all traits, C18:1 cis-9 was the most sensitive to heat stress. As this trait is known to reflect body reserve mobilization, using its response to THI could be a very affordable milk biomarker of heat stress for dairy cattle, expressing the equilibrium between intake and mobilization, and therefore adaptation, under warm conditions. By including novel milk based composition traits to traditional production traits, correlations between EBVs and GEBVs of those milk based traits and udder health, fertility and longevity increased considerably. Thisstudy demonstrated that milk composition resilience heat stress traits could be used as early indicators of robustness traits. Our results also suggest that marker information tend to lead to higher accuracies of prediction. Therefore, new options to improve robustness through genomic selection in Walloon Holsteins are now available.

AB - Recent research showed the usefulness of using estimated breeding values (EBV)for mid-infrared (MIR) based biomarkers in genetic improvement. A novel class ofbiomarkers was defined based on modelling responses of milk composition(e.g., mid-infrared (MIR) based) to stress expressed on continuous scales usingreaction norm models. Heat stress is an important aspect of dairy production even in temperate climates as shown in recent studies. Implementation of genomic selection for tolerance to heat stress is therefore not only an issue for Australian dairy cattle, a country that recently introduced such an evaluation. The question remains open if using milk composition based heat stress resilience genomically enhanced EBV (GEBV) is not a viable option. Genetic parameters were estimated for production, udder health, and milk composition traits. Data included 155,977 test-day records for milk, fat, and protein yields, fat and protein percentages, 9 individual milk fatty acids (FA), 7 FA groups, 5 minerals, and 3 ketone bodies predicted by mid-infrared spectrometry, and 7 FA groups. Data were from 21,375 first-lactation Holstein cows in 473 herds in the Walloon region of Belgium and were collected between 2008 and 2014. Test-day records were merged with daily temperature-humidity index (THI) values based on meteorological records from public weather stations. The maximumdistance between each farm and its corresponding weather station was 13 km. Linear reaction norm models were used to estimate the intercept and slope responses of 23 traits to increasing THI values. Most yield and FA traits had phenotypic and genetic declines as THI increased, whereas C18:0, C18:1 cis-9, and 4 FA groups (unsaturated FA, monounsaturated FA, polyunsaturated FA, and long-chain FA) increased with THI. Moreover, the latter traits had the largest slope-to-intercept genetic variance ratios, which indicate that they are more affected by heat stress at high THI levels, and therefore good candidate traits. Among all traits, C18:1 cis-9 was the most sensitive to heat stress. As this trait is known to reflect body reserve mobilization, using its response to THI could be a very affordable milk biomarker of heat stress for dairy cattle, expressing the equilibrium between intake and mobilization, and therefore adaptation, under warm conditions. By including novel milk based composition traits to traditional production traits, correlations between EBVs and GEBVs of those milk based traits and udder health, fertility and longevity increased considerably. Thisstudy demonstrated that milk composition resilience heat stress traits could be used as early indicators of robustness traits. Our results also suggest that marker information tend to lead to higher accuracies of prediction. Therefore, new options to improve robustness through genomic selection in Walloon Holsteins are now available.

KW - milk MIR spectra

KW - resilience

KW - genetic improvement

KW - genomic selection

UR - http://www.gpluse.eu

M3 - Conference abstract in proceedings

SN - 92-95014-19-7

VL - 23

T3 - ICAR Technical Series

SP - 229

EP - 234

BT - Proceedings of the ICAR Conference

A2 - Bryant, J.

A2 - Burke, M.

A2 - Cook, R.

A2 - Harris, B.

A2 - Mosconi, C.

A2 - Wickham, B.

T2 - ICAR Conference

Y2 - 10 February 2018 through 11 February 2018

ER -