Abstract #387
Section: Breeding and Genetics (orals)
Session: Breeding and Genetics III: Feed Efficiency crossbreeding and production
Format: Oral
Day/Time: Tuesday 2:00 PM–2:15 PM
Location: Room 301 A
Session: Breeding and Genetics III: Feed Efficiency crossbreeding and production
Format: Oral
Day/Time: Tuesday 2:00 PM–2:15 PM
Location: Room 301 A
# 387
Progeny testing results in accurate genomic breeding values for feed efficiency in Holstein dairy sires.
Claas Heuer*1, Nader Deeb1, Chuanyu Sun1, David Kendall1, Juan Moreno1, R. Vishwanath1, 1STgenetics, Navasota, TX.
Key Words: feed efficiency, genomic prediction, single step
Progeny testing results in accurate genomic breeding values for feed efficiency in Holstein dairy sires.
Claas Heuer*1, Nader Deeb1, Chuanyu Sun1, David Kendall1, Juan Moreno1, R. Vishwanath1, 1STgenetics, Navasota, TX.
Feed efficiency is projected to be one of the most important traits in dairy cattle breeding for the upcoming decades. STgenetics has committed significant resources to establish a progeny testing scheme for sire evaluations in feed efficiency. More than 2,600 growing heifers from the genetic nucleus farm at STgenetics’ Ohio Heifer Center went through feed efficiency trials so far. Heifers were not pregnant and between 200 and 400 d of age with an average of 304 d.The 70 d trials are taking place in pens of 50 heifers with 8 bunks per pen across 10 pens. Bodyweights were recorded on entry and exit and, on average, 3 additional times throughout the trial and ranged from 292 to 1087 pounds with an average (SD) of 650 (138) pounds. Average daily feed intake ranged from 11.48 to 64.40 pounds of fresh feed per day with an average (sd) of 41 (8.3). Average daily gain was estimated using a linear regression of weight on age and ranged from 0 to 7.6 pounds per day with an average (SD) of 2.2 (0.87). Residual feed intake was defined as the residuals from a linear model with daily feed intake as the response and fixed effects comprising average daily gain, metabolic body weight and age. A total of 2241 animals had genotypes and phenotypes. The heifers without genotypic data were incorporated using a single step marker regression model. The estimated heritability from the single step model was 0.16 with a posterior standard deviation of 0.03. There were 455 sires with number of daughters ranging from 1 to 73 with an average of 5. Eighteen sires had more than 20 daughters on test which resulted in reliabilities above 0.5 for that group. Generally, reliabilities of the genomic breeding values of the sires ranged from 0.2 to 0.72 with an average of 0.45. A large part of the heifers that go through test are part of the genetic heifer nucleus of STgenetics and are therefore offspring of young elite AI sires. The progeny testing scheme allows introducing high genetic merit sires with highly accurate breeding values for feed efficiency of growing heifers.
Key Words: feed efficiency, genomic prediction, single step