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Genomic-enhanced breeding values for heat stress tolerance in Girolando cattle in Brazil

Negri, Renata ; Daltro, Darlene ; Kluska, Sabrina ; Otto, Pamela Itajara ; Machado, Marco Antonio ; do Carmo Panetto, João Cláudio ; Martins, Marta Fonseca ; de Oliveira, Hinayah Rojas ; Cobuci, Jaime Araújo ; da Silva, Marcos Vinicius Gualberto Barbosa

Livestock science, 2023-12, Vol.278, p.105360, Article 105360 [Periódico revisado por pares]

Elsevier B.V

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  • Título:
    Genomic-enhanced breeding values for heat stress tolerance in Girolando cattle in Brazil
  • Autor: Negri, Renata ; Daltro, Darlene ; Kluska, Sabrina ; Otto, Pamela Itajara ; Machado, Marco Antonio ; do Carmo Panetto, João Cláudio ; Martins, Marta Fonseca ; de Oliveira, Hinayah Rojas ; Cobuci, Jaime Araújo ; da Silva, Marcos Vinicius Gualberto Barbosa
  • Assuntos: Animal welfare ; heat comfort threshold ; Holstein-Gir crossbreeding ; longitudinal data ; temperature-humidity index ; tropical climate
  • É parte de: Livestock science, 2023-12, Vol.278, p.105360, Article 105360
  • Descrição: •Environmental stress is an important limiting factor to dairy production in tropical regions.•The current study proposes a new measure of genetic merit for Brazilian Girolando cattle: heat stress tolerance.•The results have potential economic implications within the dairy value chain.•Mating systems management to increase production efficiency in tropical climates. Heat stress is a major challenge for dairy herds and can lead to significant production reduction, mainly in tropical climate. Differences in decreased milk production in animals is associated with genetic variation. The overall goal was to investigate the effect of heat stress in milk yield of Girolando cattle in tropical climate and to identify the most appropriate statistical approach for evaluation and selection for heat tolerance in different breed compositions of Girolando. Therefore, to quantify heat stress effects on milk yield loss in Girolando cattle, random regression models were applied on test-day milk yield records (TDMY) and weather data. In addition, different statistical models were evaluated for estimating variance components and predicting breeding values for heat stress (HS). The data comprised 653,956 TDMY of 69,431 first-lactation Girolando cows of different breed compositions, and 21,147 genotyped animals, with daily temperature and humidity measurements from weather stations closest to the tested herds, between 2000 and 2020. We used daily mean values of temperature-humidity index (THI) for the day of test and the 3 previous days as the measure of HS. Heat stress thresholds estimated for the different breed compositions of Girolando in this study were THI 80 for 1/4H, 1/2H and 5/8H; THI 78 for 3/4H animals and THI 77 for 7/8H animals. Average milk production can decrease by up to 34% due to heat stress. Estimated average heritability for TDMY regressed to the THI was 0.21, while the heritability estimated for TDMY regressed to the DIM was 0.29. A correlation of 0.55 was observed between the GEBVs of HS tolerance and GEBV milk yield. The parameters estimated in this study indicate that genomic selection for heat tolerance in dairy cattle is a step towards ensuring valuable tropical production efficiency and improving animal welfare in the face of predicted increases in heat stress events and increase tropical production efficiency.
  • Editor: Elsevier B.V
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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