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Genetic relationships between behavioral traits and feed efficiency traits in lactating Holstein cows.
Nascimento, Bárbara M; Cavani, Ligia; Caputo, Malia J; Marinho, Mariana N; Borchers, Matthew R; Wallace, Richard L; Santos, José E P; White, Heather M; Peñagaricano, Francisco; Weigel, Kent A.
Afiliação
  • Nascimento BM; Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706. Electronic address: mazettinasci@wisc.edu.
  • Cavani L; Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706.
  • Caputo MJ; Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706.
  • Marinho MN; Department of Animal Sciences, University of Florida, Gainesville, FL 32611.
  • Borchers MR; Zoetis Inc., Kalamazoo, MI 49007.
  • Wallace RL; Zoetis Inc., Kalamazoo, MI 49007.
  • Santos JEP; Department of Animal Sciences, University of Florida, Gainesville, FL 32611.
  • White HM; Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706.
  • Peñagaricano F; Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706.
  • Weigel KA; Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706.
J Dairy Sci ; 107(10): 8141-8149, 2024 Oct.
Article em En | MEDLINE | ID: mdl-38825121
ABSTRACT
The evaluation of dairy cow feed efficiency using residual feed intake accounts for known energy sinks. However, behavioral traits may also contribute to the variation in feed efficiency. Our objective was to estimate the heritability and repeatability of behavioral traits and their genetic correlations with feed efficiency and its components in lactating Holstein cows. The first dataset consisted of 36,075 daily rumination and lying time records collected using a SMARTBOW ear-tag accelerometer (Zoetis, Parsippany, NJ) and 6,371 weekly feed efficiency records of 728 cows from the University of Wisconsin-Madison. The second dataset consisted of 59,155 daily activity records, measured as number of steps, recorded by pedometers (AfiAct; SAE Afikim, Kibbutz Afikim, Israel) and 8,626 weekly feed efficiency records of 635 cows from the University of Florida. Feed efficiency and its components included DMI, change in BW, metabolic BW, secreted milk energy, and residual feed intake. The statistical models included the fixed effect of cohort, lactation number, and days in milk, and the random effects of animal and permanent environment. Heritability estimates for behavioral traits using daily records were 0.19 ± 0.06 for rumination and activity, and 0.37 ± 0.07 for lying time. Repeatability estimates for behavioral traits using daily data ranged from 0.56 ± 0.02 for activity to 0.62 ± 0.01 for lying time. Both heritability and repeatability estimates were larger when weekly records instead of daily records were used. Rumination and activity had positive genetic correlations with residual feed intake (0.40 ± 0.19 and 0.31 ± 0.22, respectively) and lying time had a negative genetic correlation with this residual feed intake (-0.27 ± 0.11). These results indicate that more efficient cows tend to spend more time lying and less time active. Additionally, less efficient cows tend to eat more and therefore also tend to ruminate longer. Overall, sensor-based behavioral traits are heritable and genetically correlated with feed efficiency and its components and, therefore, they could be used as indicators to identify feed-efficient cows within the herd.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Lactação / Leite Limite: Animals Idioma: En Revista: J Dairy Sci / J. dairy sci / Journal of dairy science Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Lactação / Leite Limite: Animals Idioma: En Revista: J Dairy Sci / J. dairy sci / Journal of dairy science Ano de publicação: 2024 Tipo de documento: Article