Neglect of lactation stage leads to naive assessment of residual feed intake in dairy cattle

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Standard

Neglect of lactation stage leads to naive assessment of residual feed intake in dairy cattle. / Li, Bingjie; Berglund, B.; Fikse, W.F.; Lassen, Jan; Lidauer, M. H.; Mäntysaari, P.; Løvendahl, Peter.

I: Journal of Dairy Science, Bind 100, Nr. 11, 2017, s. 9076-9084.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

Harvard

Li, B, Berglund, B, Fikse, WF, Lassen, J, Lidauer, MH, Mäntysaari, P & Løvendahl, P 2017, 'Neglect of lactation stage leads to naive assessment of residual feed intake in dairy cattle', Journal of Dairy Science, bind 100, nr. 11, s. 9076-9084. https://doi.org/10.3168/jds.2017-12775

APA

Li, B., Berglund, B., Fikse, W. F., Lassen, J., Lidauer, M. H., Mäntysaari, P., & Løvendahl, P. (2017). Neglect of lactation stage leads to naive assessment of residual feed intake in dairy cattle. Journal of Dairy Science, 100(11), 9076-9084. https://doi.org/10.3168/jds.2017-12775

CBE

Li B, Berglund B, Fikse WF, Lassen J, Lidauer MH, Mäntysaari P, Løvendahl P. 2017. Neglect of lactation stage leads to naive assessment of residual feed intake in dairy cattle. Journal of Dairy Science. 100(11):9076-9084. https://doi.org/10.3168/jds.2017-12775

MLA

Vancouver

Li B, Berglund B, Fikse WF, Lassen J, Lidauer MH, Mäntysaari P o.a. Neglect of lactation stage leads to naive assessment of residual feed intake in dairy cattle. Journal of Dairy Science. 2017;100(11):9076-9084. https://doi.org/10.3168/jds.2017-12775

Author

Li, Bingjie ; Berglund, B. ; Fikse, W.F. ; Lassen, Jan ; Lidauer, M. H. ; Mäntysaari, P. ; Løvendahl, Peter. / Neglect of lactation stage leads to naive assessment of residual feed intake in dairy cattle. I: Journal of Dairy Science. 2017 ; Bind 100, Nr. 11. s. 9076-9084.

Bibtex

@article{7ad3f49e357245ebbfa741edbabc72cc,
title = "Neglect of lactation stage leads to naive assessment of residual feed intake in dairy cattle",
abstract = "Residual feed intake (RFI) is a candidate trait for feed efficiency in dairy cattle. We investigated the influence of lactation stage on the effect of energy sinks in defining RFI and the genetic parameters for RFI across lactation stages for primiparous dairy cattle. Our analysis included 747 primiparous Holstein cows, each with recordings on dry matter intake (DMI), milk yield, milk composition, and body weight (BW) over 44 lactation weeks. For each individual cow, energy-corrected milk (ECM), metabolic BW (MBW), and change in BW (∆BW) were calculated in each week of lactation and were taken as energy sinks when defining RFI. Two RFI models were considered in the analyses; RFI model [1] was a 1-step RFI model with constant partial regression coefficients of DMI on energy sinks (ECM, MBW, and ∆BW) over lactation. In RFI model [2], data from 44 lactation weeks were divided into 11 consecutive lactation periods of 4 wk in length. The RFI model [2] was identical to model [1] except that period-specific partial regressions of DMI on ECM, MBW, and ∆BW in each lactation period were allowed across lactation. We estimated genetic parameters for RFI across lactation by both models using a random regression method. Using RFI model [2], we estimated the period-specific effects of ECM, MBW, and ∆BW on DMI in all lactation periods. Based on results from RFI model [2], the partial regression coefficients of DMI on ECM, MBW, and ∆BW differed across lactation in RFI. Constant partial regression coefficients of DMI on energy sinks over lactation was not always sufficient to account for the effects across lactation and tended to give roughly average information from all period-specific effects. Heritability for RFI over 44 lactation weeks ranged from 0.10 to 0.29 in model [1] and from 0.10 to 0.23 in model [2]. Genetic variance and heritability estimates for RFI from model [2] tended to be slightly lower and more stable across lactation than those from model [1]. In both models, RFI was genetically different over lactation, especially between early and later lactation stages. Genetic correlation estimates for RFI between early and later lactation tended to be higher when using model [2] compared with model [1]. In conclusion, partial regression coefficients of DMI on energy sinks differed across lactation when modeling RFI. Neglect of lactation stage when defining RFI could affect the assessment of RFI and the estimation of genetic parameters for RFI across lactation. Key words: residual feed intake, dairy cattle, energy sink, lactation stage, genetic parameter",
author = "Bingjie Li and B. Berglund and W.F. Fikse and Jan Lassen and Lidauer, {M. H.} and P. M{\"a}ntysaari and Peter L{\o}vendahl",
year = "2017",
doi = "10.3168/jds.2017-12775",
language = "English",
volume = "100",
pages = "9076--9084",
journal = "Journal of Dairy Science",
issn = "0022-0302",
publisher = "Elsevier Inc",
number = "11",

}

RIS

TY - JOUR

T1 - Neglect of lactation stage leads to naive assessment of residual feed intake in dairy cattle

AU - Li, Bingjie

AU - Berglund, B.

AU - Fikse, W.F.

AU - Lassen, Jan

AU - Lidauer, M. H.

AU - Mäntysaari, P.

AU - Løvendahl, Peter

PY - 2017

Y1 - 2017

N2 - Residual feed intake (RFI) is a candidate trait for feed efficiency in dairy cattle. We investigated the influence of lactation stage on the effect of energy sinks in defining RFI and the genetic parameters for RFI across lactation stages for primiparous dairy cattle. Our analysis included 747 primiparous Holstein cows, each with recordings on dry matter intake (DMI), milk yield, milk composition, and body weight (BW) over 44 lactation weeks. For each individual cow, energy-corrected milk (ECM), metabolic BW (MBW), and change in BW (∆BW) were calculated in each week of lactation and were taken as energy sinks when defining RFI. Two RFI models were considered in the analyses; RFI model [1] was a 1-step RFI model with constant partial regression coefficients of DMI on energy sinks (ECM, MBW, and ∆BW) over lactation. In RFI model [2], data from 44 lactation weeks were divided into 11 consecutive lactation periods of 4 wk in length. The RFI model [2] was identical to model [1] except that period-specific partial regressions of DMI on ECM, MBW, and ∆BW in each lactation period were allowed across lactation. We estimated genetic parameters for RFI across lactation by both models using a random regression method. Using RFI model [2], we estimated the period-specific effects of ECM, MBW, and ∆BW on DMI in all lactation periods. Based on results from RFI model [2], the partial regression coefficients of DMI on ECM, MBW, and ∆BW differed across lactation in RFI. Constant partial regression coefficients of DMI on energy sinks over lactation was not always sufficient to account for the effects across lactation and tended to give roughly average information from all period-specific effects. Heritability for RFI over 44 lactation weeks ranged from 0.10 to 0.29 in model [1] and from 0.10 to 0.23 in model [2]. Genetic variance and heritability estimates for RFI from model [2] tended to be slightly lower and more stable across lactation than those from model [1]. In both models, RFI was genetically different over lactation, especially between early and later lactation stages. Genetic correlation estimates for RFI between early and later lactation tended to be higher when using model [2] compared with model [1]. In conclusion, partial regression coefficients of DMI on energy sinks differed across lactation when modeling RFI. Neglect of lactation stage when defining RFI could affect the assessment of RFI and the estimation of genetic parameters for RFI across lactation. Key words: residual feed intake, dairy cattle, energy sink, lactation stage, genetic parameter

AB - Residual feed intake (RFI) is a candidate trait for feed efficiency in dairy cattle. We investigated the influence of lactation stage on the effect of energy sinks in defining RFI and the genetic parameters for RFI across lactation stages for primiparous dairy cattle. Our analysis included 747 primiparous Holstein cows, each with recordings on dry matter intake (DMI), milk yield, milk composition, and body weight (BW) over 44 lactation weeks. For each individual cow, energy-corrected milk (ECM), metabolic BW (MBW), and change in BW (∆BW) were calculated in each week of lactation and were taken as energy sinks when defining RFI. Two RFI models were considered in the analyses; RFI model [1] was a 1-step RFI model with constant partial regression coefficients of DMI on energy sinks (ECM, MBW, and ∆BW) over lactation. In RFI model [2], data from 44 lactation weeks were divided into 11 consecutive lactation periods of 4 wk in length. The RFI model [2] was identical to model [1] except that period-specific partial regressions of DMI on ECM, MBW, and ∆BW in each lactation period were allowed across lactation. We estimated genetic parameters for RFI across lactation by both models using a random regression method. Using RFI model [2], we estimated the period-specific effects of ECM, MBW, and ∆BW on DMI in all lactation periods. Based on results from RFI model [2], the partial regression coefficients of DMI on ECM, MBW, and ∆BW differed across lactation in RFI. Constant partial regression coefficients of DMI on energy sinks over lactation was not always sufficient to account for the effects across lactation and tended to give roughly average information from all period-specific effects. Heritability for RFI over 44 lactation weeks ranged from 0.10 to 0.29 in model [1] and from 0.10 to 0.23 in model [2]. Genetic variance and heritability estimates for RFI from model [2] tended to be slightly lower and more stable across lactation than those from model [1]. In both models, RFI was genetically different over lactation, especially between early and later lactation stages. Genetic correlation estimates for RFI between early and later lactation tended to be higher when using model [2] compared with model [1]. In conclusion, partial regression coefficients of DMI on energy sinks differed across lactation when modeling RFI. Neglect of lactation stage when defining RFI could affect the assessment of RFI and the estimation of genetic parameters for RFI across lactation. Key words: residual feed intake, dairy cattle, energy sink, lactation stage, genetic parameter

U2 - 10.3168/jds.2017-12775

DO - 10.3168/jds.2017-12775

M3 - Journal article

C2 - 28888604

VL - 100

SP - 9076

EP - 9084

JO - Journal of Dairy Science

JF - Journal of Dairy Science

SN - 0022-0302

IS - 11

ER -