Landmark Study Shows Daily In-line Milk Analysis May Predict Future Lactation More Accurately Than Monthly DHIA Testing

News provided by

Afimilk

06 Feb, 2017, 09:00 GMT

AFIKIM, Israel, February 6, 2017 /PRNewswire/ --

Unprecedented two-year study of 38,000 Israeli Holsteins has implications on herd management & genetic selection 

Daily in-line milk analysis with the Afimilk's AfiLab milk analyzer may be more useful in predicting a cow's future lactation than monthly DHIA tests, according to a recently published study of 37,486 Holstein cows over a two-year period.

     (Photo: http://mma.prnewswire.com/media/461323/Afimilk_Infographic.jpg )

Unprecedented in scope, the study "Genetic and phenotypic analysis of daily Israeli Holstein milk, fat, and protein production as determined by a real-time milk analyzer," selected for "Editor's Choice" in the December 2016 issue of the Journal of Dairy Science, appears to validate the hypothesis that AfiLab daily analysis of milk components provide a more representative measure of a cow's total lactation when compared with monthly DHIA tests.

Joel Weller and Ephraim Ezra from the Agricultural Research Organization, Volcani Center, compared daily records of milk production, protein and fat concentration collected by the AfiLab with monthly test day records of the same statistics derived from the central laboratory of the Israel Cattle Breeders Association. They concluded that real-time daily recording may be preferable to monthly DHIA testing based on several findings:

  • Lactation means were similar for the two methods for all traits except fat production, with minor differences of up to 0.1 percent.
  • First-parity heritabilities were higher for lactations computed from daily records for all traits except protein percentage, but differences were not significant.
  • At only 30 days in milk (DIM), high genetic correlations ranging from 0.73 to 0.79 were observed between predicted and actual lactations using in-line milk sampling.
  • Daily first-parity partial lactations for milk, fat and protein production with <150 DIM predicted future lactation more accurately than corresponding monthly partial lactations.

According to Weller & Ezra : "The AfiLab phenotypic correlations are higher than the ICBA correlations for all 3 traits at all 9 truncation points, even though DIM at truncation was lower for the AfiLab records."

Afimilk's In-line Milk Lab measures milk yield, components and conductivity every milking to help manage cow selection, and alert when cows are at risk for diseases such as mastitis and ketosis, and nutritional changes affecting the entire herd.

Afimilk, a global leader in farm management tools, provides dairy farmers in over 50 countries with technology and expertise to profitably produce milk for over 40 years. Read more: http://www.Afimilk.com. Visit us at World Ag Expo stand DS69,70,83,84.


Contact:  

Noa Yonish
noa@afimilk.com 
+972-4-6754812