Breeding and Genetics: Application and methods - Dairy I

Section: Breeding and Genetics
Format: Orals
Day/Time: Tuesday 9:30 AM–12:30 PM
Location: Panzacola F-3
Chair: John B Cole, Animal Genomics and Improvement Laboratory, Agriculture Research Service, United States Department of Agriculture
Please note: last-minute changes to the program may not be reflected here.
9:30 AM
#373 Montbéliarde × Holstein and Viking Red × Holstein crossbreds compared with pure Holsteins during first lactation in eight high-performance dairies in Minnesota: I. Production.
A. R. Hazel
9:45 AM
#374 Montbéliarde × Holstein and Viking Red × Holstein crossbreds compared with pure Holsteins during first lactation in eight high-performance dairies in Minnesota: II. Fertility, survival, and conformation.
A. R. Hazel
10:00 AM
#375 Milk production and fertility performance of Holstein, Friesian, Jersey, Holstein x Jersey, and Friesian x Jersey crossbred cows on commercial Irish farms.
E. L. Coffey
10:15 AM
#376 Fertility and production of 3-breed and third-generation Holstein-sired crossbreds compared with pure Holstein cows in a seasonal pasture production system.
Bradley J. Heins
10:30 AM
#377 Relationships between yield, fitness, and type traits in US Brown Swiss.
Keith D. Gibson
10:45 AM
#378 Genetic disorders in Indian dairy cattle.
Prasad Dinkar Deshpande
11:00 AM
Break
11:15 AM
#380 SNP-analysis solves questions on the genetic background of the rare Dutch breed of Red Friesian cattle.
Kor Oldenbroek
11:30 AM
#381 Genetic variation and breeding values of casein in Holstein cattle using novel FTIR predictive modeling.
Gerben de Jong
11:45 AM
#382 Use of infrared spectroscopy to enhance technological and nutritional quality of milk: Genetic components of FTIR spectra and breeding values estimates in Italian Simmental cattle.
Valentina Bonfatti
12:00 PM
#383 Association between INHA A192G polymorphism and dairy traits in Holstein cattle of Antioquia-Colombia.
Stephania Madrid
12:15 PM
#384 Genome-wide association studies for fertility traits in Brown Swiss cattle using single SNP regression and Bayesian approaches applied to high-density SNP array information.
Beat Bapst