Norman, 2014ICAR / Interbull annual meeting, Berlin, Germany, May 20, 2014 (1) Dr. H. Duane Norman Interim Administrator Council on Dairy Cattle Breeding.

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Presentation transcript:

Norman, 2014ICAR / Interbull annual meeting, Berlin, Germany, May 20, 2014 (1) Dr. H. Duane Norman Interim Administrator Council on Dairy Cattle Breeding Beltsville, MD (voice) Selection changes in the United States due to genomics

Norman, 2014ICAR / Interbull annual meeting, Berlin, Germany, May 20, 2014 (2) Coauthors  Janice R. Wright 1  Jana L. Hutchison 1  Jay M. Mattison 2  1 Animal Scientist, Animal Genomic and Improvement Laboratory, Beltsville, Maryland  2 Chief Executive Officer, National Dairy Herd Information Association, Verona, Wisconsin

Norman, 2014ICAR / Interbull annual meeting, Berlin, Germany, May 20, 2014 (3) Introduction  Genomic testing of dairy cattle accelerated in the United States in early  Genomics is changing the way breeding programs are operating.  Genomics is changing information available & choice of parents producing replacements.  It is impacting genetic improvement. Some differences in programs will be described.

Norman, 2014ICAR / Interbull annual meeting, Berlin, Germany, May 20, 2014 (4) Objectives  Show number of genomic tests across time.  Show how age of bulls’ ancestors have changed.  Show genetic merit of bulls entering artificial insemination (AI) service across time.  Determine expected genetic merit of future animals derived from examining confirmed pregnancies.

Norman, 2014ICAR / Interbull annual meeting, Berlin, Germany, May 20, 2014 (5) Traits examined  Milk  Fat  Protein  Somatic cell score (SCS)  Productive life (Prod. Life)  Daughter Pregnancy Rate (Dau. Preg. Rate)  Net Merit Dollars

Norman, 2014ICAR / Interbull annual meeting, Berlin, Germany, May 20, 2014 (6) Number of US animals genotyped by year (Holstein) YearFemalesMales , , ,38211, ,31417,417

Norman, 2014ICAR / Interbull annual meeting, Berlin, Germany, May 20, 2014 (7) Number of US animals genotyped by year (Jersey) Year FemalesMales , ,

Norman, 2014ICAR / Interbull annual meeting, Berlin, Germany, May 20, 2014 (8) Mean PTA* of Holstein bulls entering AI by year (yield traits) YearMilkFatProteinNumber bulls (kg) *Based on April 2014 evaluations

Norman, 2014ICAR / Interbull annual meeting, Berlin, Germany, May 20, 2014 (9) Mean PTA* of Holstein bulls entering AI by year (other traits) YearSCS Prod. Life Dau. Preg. Rate Net Merit *Based on April 2014 evaluations

Norman, 2014ICAR / Interbull annual meeting, Berlin, Germany, May 20, 2014 (10) Mean PTA* of Jersey bulls entering AI by year (yield traits) YearMilkFatProteinNumber bulls (kg) *Based on April 2014 evaluations

Norman, 2014ICAR / Interbull annual meeting, Berlin, Germany, May 20, 2014 (11) Mean PTA* of Jersey bulls entering AI by year (other traits) YearSCS Prod. Life Dau. Preg. Rate Net Merit *Based on April 2014 evaluations

Norman, 2014ICAR / Interbull annual meeting, Berlin, Germany, May 20, 2014 (12) Age of sire and dam at bull’s birth (all breeds)

Norman, 2014ICAR / Interbull annual meeting, Berlin, Germany, May 20, 2014 (13) Age of Paternal and Maternal grandsire at bull’s birth

Norman, 2014ICAR / Interbull annual meeting, Berlin, Germany, May 20, 2014 (14) Age of Paternal and Maternal granddam at bull’s birth

Norman, 2014ICAR / Interbull annual meeting, Berlin, Germany, May 20, 2014 (15) Mean PTA protein of HO service sires used in matings

Norman, 2014ICAR / Interbull annual meeting, Berlin, Germany, May 20, 2014 (16) Mean PTA Daughter pregnancy rate of service sires used in matings

Norman, 2014ICAR / Interbull annual meeting, Berlin, Germany, May 20, 2014 (17) Mean PTA Productive life of HO service sires used in matings

Norman, 2014ICAR / Interbull annual meeting, Berlin, Germany, May 20, 2014 (18) Mean Net Merit of HO service sires used in matings

Norman, 2014ICAR / Interbull annual meeting, Berlin, Germany, May 20, 2014 (19) Conclusions  Amount of genomic testing has been increasing. Still, it seems risky predicting how the number of tests will change in the next few years.  Bulls age when entering AI has not changed, remaining at 16 mo. All ancestors’ ages when the bull entered AI service have declined.

Norman, 2014ICAR / Interbull annual meeting, Berlin, Germany, May 20, 2014 (20) Conclusions  Genetic change for bulls entering AI has been accelerating for most of the important traits. A few of the fitness traits have increased faster than the yield traits.  Confirmed pregnancy from breeding records illustrates rapid improvement due to genomics will continue.

Norman, 2014ICAR / Interbull annual meeting, Berlin, Germany, May 20, 2014 (21)  Appreciation to all producers in the U.S. dairy industry and the industry support personnel who provided information to the Council on Dairy Cattle Breeding’s national database  Also, to personnel in the Animal Genomics and Improvement Laboratory who have assisted in the transition of operations to the Council on Dairy Cattle Breeding Acknowledgments