Heterogeneity in genetic and nongenetic variation and energy sink relationships for residual feed intake across research stations and countries

RJ Tempelman, DM Spurlock, MP Coffey, RF Veerkamp, LE Armentano, KA Weigel, Y de Haas, CR Staples, EE Connor, Y Lu, MJ VandeHaar

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Abstract

Our long-term objective is to develop breeding strategies for improving feed efficiency in dairy cattle. In this study, phenotypic data were pooled across multiple research stations to facilitate investigation of the genetic and nongenetic components of feed efficiency in Holstein cattle. Specifically, the heritability of residual feed intake (RFI) was estimated and heterogeneous relationships between RFI and traits relating to energy utilization were characterized across research stations. Milk, fat, protein, and lactose production converted to megacalories (milk energy; MilkE), dry matter intakes (DMI), and body weights (BW) were collected on 6,824 lactations from 4,893 Holstein cows from research stations in Scotland, the Netherlands, and the United States. Weekly DMI, recorded between 50 to 200 d in milk, was fitted as a linear function of MilkE, BW0.75, and change in BW (ΔBW), along with parity, a fifth-order polynomial on days in milk (DIM), and the interaction between this polynomial and parity in a first-stage model. The residuals from this analysis were considered to be a phenotypic measure of RFI. Estimated partial regression coefficients of DMI on MilkE and on BW0.75 ranged from 0.29 to 0.47 kg/Mcal for MilkE across research stations, whereas estimated partial regression coefficients on BW0.75 ranged from 0.06 to 0.16kg/kg0.75. Estimated partial regression coefficients on ΔBW ranged from 0.06 to 0.39 across stations. Heritabilities for country-specific RFI were based on fitting second-stage random regression models and ranged from 0.06 to 0.24 depending on DIM. The overall heritability estimate across all research stations and all DIM was 0.15 ± 0.02, whereas an alternative analysis based on combining the first- and second-stage model as 1 model led to an overall heritability estimate of 0.18 ± 0.02. Hence future genomic selection programs on feed efficiency appear to be promising; nevertheless, care should be taken to allow for potentially heterogeneous variance components and partial relationships between DMI and other energy
Original languageEnglish
Pages (from-to)2013 - 2026
Number of pages14
JournalJournal of Dairy Science
Volume98
Issue number3
DOIs
Publication statusFirst published - 2015

Fingerprint

feed intake
dry matter intake
heritability
milk
energy
feed conversion
parity (reproduction)
body weight
body weight changes
Scotland
milk fat
lactose
dairy cattle
Netherlands
Holstein
lactation
genomics
cows
cattle
breeding

Bibliographical note

1023378

Keywords

  • Heritability
  • International study
  • Random regression model
  • Residual feed intake

Cite this

Tempelman, RJ ; Spurlock, DM ; Coffey, MP ; Veerkamp, RF ; Armentano, LE ; Weigel, KA ; de Haas, Y ; Staples, CR ; Connor, EE ; Lu, Y ; VandeHaar, MJ. / Heterogeneity in genetic and nongenetic variation and energy sink relationships for residual feed intake across research stations and countries. In: Journal of Dairy Science. 2015 ; Vol. 98, No. 3. pp. 2013 - 2026.
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abstract = "Our long-term objective is to develop breeding strategies for improving feed efficiency in dairy cattle. In this study, phenotypic data were pooled across multiple research stations to facilitate investigation of the genetic and nongenetic components of feed efficiency in Holstein cattle. Specifically, the heritability of residual feed intake (RFI) was estimated and heterogeneous relationships between RFI and traits relating to energy utilization were characterized across research stations. Milk, fat, protein, and lactose production converted to megacalories (milk energy; MilkE), dry matter intakes (DMI), and body weights (BW) were collected on 6,824 lactations from 4,893 Holstein cows from research stations in Scotland, the Netherlands, and the United States. Weekly DMI, recorded between 50 to 200 d in milk, was fitted as a linear function of MilkE, BW0.75, and change in BW (ΔBW), along with parity, a fifth-order polynomial on days in milk (DIM), and the interaction between this polynomial and parity in a first-stage model. The residuals from this analysis were considered to be a phenotypic measure of RFI. Estimated partial regression coefficients of DMI on MilkE and on BW0.75 ranged from 0.29 to 0.47 kg/Mcal for MilkE across research stations, whereas estimated partial regression coefficients on BW0.75 ranged from 0.06 to 0.16kg/kg0.75. Estimated partial regression coefficients on ΔBW ranged from 0.06 to 0.39 across stations. Heritabilities for country-specific RFI were based on fitting second-stage random regression models and ranged from 0.06 to 0.24 depending on DIM. The overall heritability estimate across all research stations and all DIM was 0.15 ± 0.02, whereas an alternative analysis based on combining the first- and second-stage model as 1 model led to an overall heritability estimate of 0.18 ± 0.02. Hence future genomic selection programs on feed efficiency appear to be promising; nevertheless, care should be taken to allow for potentially heterogeneous variance components and partial relationships between DMI and other energy",
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Tempelman, RJ, Spurlock, DM, Coffey, MP, Veerkamp, RF, Armentano, LE, Weigel, KA, de Haas, Y, Staples, CR, Connor, EE, Lu, Y & VandeHaar, MJ 2015, 'Heterogeneity in genetic and nongenetic variation and energy sink relationships for residual feed intake across research stations and countries', Journal of Dairy Science, vol. 98, no. 3, pp. 2013 - 2026. https://doi.org/10.3168/jds.2014.8510

Heterogeneity in genetic and nongenetic variation and energy sink relationships for residual feed intake across research stations and countries. / Tempelman, RJ; Spurlock, DM; Coffey, MP; Veerkamp, RF; Armentano, LE; Weigel, KA; de Haas, Y; Staples, CR; Connor, EE; Lu, Y; VandeHaar, MJ.

In: Journal of Dairy Science, Vol. 98, No. 3, 2015, p. 2013 - 2026.

Research output: Contribution to journalArticleResearchpeer-review

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T1 - Heterogeneity in genetic and nongenetic variation and energy sink relationships for residual feed intake across research stations and countries

AU - Tempelman, RJ

AU - Spurlock, DM

AU - Coffey, MP

AU - Veerkamp, RF

AU - Armentano, LE

AU - Weigel, KA

AU - de Haas, Y

AU - Staples, CR

AU - Connor, EE

AU - Lu, Y

AU - VandeHaar, MJ

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AB - Our long-term objective is to develop breeding strategies for improving feed efficiency in dairy cattle. In this study, phenotypic data were pooled across multiple research stations to facilitate investigation of the genetic and nongenetic components of feed efficiency in Holstein cattle. Specifically, the heritability of residual feed intake (RFI) was estimated and heterogeneous relationships between RFI and traits relating to energy utilization were characterized across research stations. Milk, fat, protein, and lactose production converted to megacalories (milk energy; MilkE), dry matter intakes (DMI), and body weights (BW) were collected on 6,824 lactations from 4,893 Holstein cows from research stations in Scotland, the Netherlands, and the United States. Weekly DMI, recorded between 50 to 200 d in milk, was fitted as a linear function of MilkE, BW0.75, and change in BW (ΔBW), along with parity, a fifth-order polynomial on days in milk (DIM), and the interaction between this polynomial and parity in a first-stage model. The residuals from this analysis were considered to be a phenotypic measure of RFI. Estimated partial regression coefficients of DMI on MilkE and on BW0.75 ranged from 0.29 to 0.47 kg/Mcal for MilkE across research stations, whereas estimated partial regression coefficients on BW0.75 ranged from 0.06 to 0.16kg/kg0.75. Estimated partial regression coefficients on ΔBW ranged from 0.06 to 0.39 across stations. Heritabilities for country-specific RFI were based on fitting second-stage random regression models and ranged from 0.06 to 0.24 depending on DIM. The overall heritability estimate across all research stations and all DIM was 0.15 ± 0.02, whereas an alternative analysis based on combining the first- and second-stage model as 1 model led to an overall heritability estimate of 0.18 ± 0.02. Hence future genomic selection programs on feed efficiency appear to be promising; nevertheless, care should be taken to allow for potentially heterogeneous variance components and partial relationships between DMI and other energy

KW - Heritability

KW - International study

KW - Random regression model

KW - Residual feed intake

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M3 - Article

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JO - Journal of Dairy Science

JF - Journal of Dairy Science

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