Genetic parameters for methane emissions using indirect prediction of methane and its association with milk and milk composition traits

HIGHLIGHTS

  • who: Heydar Ghiasi and colleagues from the Department of Animal Science, Faculty of Agricultural Science, Payame Noor University, Tehran POBox, Iran have published the research: Genetic Parameters for Methane Emissions Using Indirect Prediction of Methane and Its Association with Milk and Milk Composition Traits, in the Journal: Animals 2022, 12, 2073. of /2022/
  • what: The herds selected for this study had more than 100 cows. In the study , high genetic correlations were obtained between 6 of 8 methane with milk lactose, milk fat, and milk dry matter, except in MPE1, where a moderate (0.34 . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?