DairyBio Animal Program

Slides:



Advertisements
Similar presentations
Reliable genomic evaluations across breeds and borders Sander de Roos CRV, the Netherlands.
Advertisements

Animal Genetic Improvement in Tropical Area Asst.Prof.Dr. Wuttigrai Boonkum Department of Animal Science, Faculty of Agriculture Khon Kaen University.
Animal Genetic Improvement in Tropical Area Asst.Dr. Wuttigrai Boonkum Department of Animal Science, Faculty of Agriculture Khon Kaen University.
Energy Energy is the potential to do work. Energy can be converted from one form to another but can not be created or destroyed. Units (Nutrition) calorie.
Use of Quantitative Trait Loci (QTL) in Dairy Sire Selection Fabio Monteiro de Rezende Universidade Federal Rural de Pernambuco (UFRPE) - Brazil.
Heat Stress in Dairy Cattle Akrum Hamdy Akrum Hamdy.
Bull selection based on QTL for specific environments Fabio Monteiro de Rezende Universidade Federal Rural de Pernambuco (UFRPE) - Brazil.
Wiggans, 2013RL meeting, Aug. 15 (1) Dr. George R. Wiggans, Acting Research Leader Bldg. 005, Room 306, BARC-West (main office);
How Genomics is changing Business and Services of Associations Dr. Josef Pott, Weser-Ems-Union eG, Germany.
But who will be the next GREAT one?. USA Bull Proofs * Bulls are ranked based upon their DAUGHTER’S (progeny) production and physical characteristics.
What’s coming next in genomics? Ben Hayes, Department of Primary Industries, Victoria, Australia.
WiggansARS Big Data Workshop – July 16, 2015 (1) George R. Wiggans Animal Genomics and Improvement Laboratory Agricultural Research Service, USDA Beltsville,
A nimal improvement in the tropics Written by Wuttigrai Boonkum.
Dr. Gordon F. Jones Professor of Animal Science / Retired Western Kentucky University.
Dr. George R. Wiggans, Ph.D. Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD, USA
George R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD National Association.
Breeding cattle for a more efficient and sustainable milk and meat production Oscar González-Recio, J. Pryce, M.E. Goddard, B. Hayes EURO FOOD
 PTA mobility was highly correlated with udder composite.  PTA mobility showed a moderate, positive correlation with production, productive life, and.
Comparison of Holstein service-sire fertility for heifer and cow breedings with conventional and sexed semen H. D. Norman*, J. L. Hutchison, and P. M.
2002 ADSA 2002 (HDN-1) H.D. NORMAN* ( ), R.H. MILLER, P.M. V AN RADEN, and J.R. WRIGHT Animal Improvement Programs.
AFGC Convention 2004 (1) 2004 Possibilities for Improving Dairy Cattle Performance Dr. H. Duane Norman Animal Improvement Programs Laboratory Agricultural.
REGRESSION MODEL y ijklm = BD i + b j A j + HYS k + b dstate D l + b sstate S l + b sd (S×SD m ) + b dherd F m + b sherd G m + e ijklm, y = ME milk yield,
John B. Cole Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD , USA The use and.
2007 Paul VanRaden, Mel Tooker, Jan Wright, Chuanyu Sun, and Jana Hutchison Animal Improvement Programs Lab, Beltsville, MD National Association of Animal.
John B. Cole Animal Genomics and Improvement Laboratory Agricultural Research Service, USDA Beltsville, MD Using.
2005 Paul VanRaden Animal Improvement Programs Laboratory, USDA Agricultural Research Service, Beltsville, MD, USA Selection for.
Genetic Evaluation of Lactation Persistency Estimated by Best Prediction for Ayrshire, Brown Swiss, Guernsey, and Milking Shorthorn Dairy Cattle J. B.
T. A. Cooper and G.R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD Council.
Interbull Meeting – Dublin 2007 Genetic Parameters of Butter Hardness Estimated by Test-Day Model Hélène Soyeurt 1,2, F. Dehareng 3, C. Bertozzi 4 & N.
XX International Grassland Conference 2005 (1) 2005 Genetic Alternatives for Dairy Producers who Practise Grazing H. D. Norman, J. R. Wright, R. L. Powell.
Beef Data & Genomics Programme Information Meetings 2015 Teagasc Beef Specialists.
2007 Paul VanRaden Animal Improvement Programs Laboratory USDA Agricultural Research Service, Beltsville, MD, USA
WiggansARS Big Data Computing Workshop (1) 2013 George R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville,
2007 John B. Cole USDA Animal Improvement Programs Laboratory Beltsville, MD, USA 2008 Data Collection Ratings and Best Prediction.
ANIMAL BREEDING IN THE CONTEXT OF MODERN AGRICULTURE FROM SCIENCE TO PRACTICE May 2009 PERINATAL MORTALITY IN DAIRY CATTLE Szűcs, E., Gulyás, L.,
Multi-trait, multi-breed conception rate evaluations P. M. VanRaden 1, J. R. Wright 1 *, C. Sun 2, J. L. Hutchison 1 and M. E. Tooker 1 1 Animal Genomics.
Multibreed Genomic Evaluation Using Purebred Dairy Cattle K. M. Olson* 1 and P. M. VanRaden 2 1 Department of Dairy Science Virginia Polytechnic and State.
H.D. Norman* J.R. Wright, P.M. VanRaden, and M.T. Kuhn Animal Improvement Programs Laboratory Agricultural.
G.R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD Select Sires‘ Holstein.
G.R. Wiggans Animal Improvement Programs Laboratory Agricultural Research Service, USDA Beltsville, MD 2011 National Breeders.
2007 Paul VanRaden 1, Curt Van Tassell 2, George Wiggans 1, Tad Sonstegard 2, Bob Schnabel 3, Jerry Taylor 3, and Flavio Schenkel 4, Paul VanRaden 1, Curt.
EXPRESSION PROFILING, CHARACTERIZATION AND EVALUATION OF HEAT SHOCK PROTEIN 70 (HSP 70) IN VECHUR, KASARGODE (BOS INDICUS) AND CROSSBRED (BOS INDICUS ×
Evaluation & Use of Expected Progeny Differences in Beef Cattle Dr. Fred Rayfield Livestock Specialist Georgia Agricultural Education To accompany lesson.
Managing Heat Stress in Dairy Animals
2005 P.M. VanRaden and M.E. Tooker* Animal Improvement Programs Laboratory Agricultural Research Service, USDA, Beltsville, MD Effect.
Dairy Cattle Production (95314)
REPRODUCTIVE CHALLENGES IN DAIRY ANIMLAS DURING HOT SUMMER Dr. Aijaz Ali Channa Assistant Professor, Theriogenology UVAS, Lahore.
Fundamentals of the Eurostar evaluations
Possibilities and requirements for organic dairy breeding lines
The Dairy Research Foundation 2017 Symposium Ian Halliday July 2017
J.R. Thomasen, H. Liu and A.C. Sørensen
Net Merit Changes April 2017.
Validation of €uro-Star Replacement Index.
Y. Masuda1, I. Misztal1, P. M. VanRaden2, and T. J. Lawlor3
Evaluation & Use of Expected Progeny Differences in Beef Cattle
SHORT- AND LONG-TERM IMPACTS OF HEAT STRESS
Drivers of Dairy Genetics Research
Gene editing algorithm
Methods to compute reliabilities for genomic predictions of feed intake Paul VanRaden, Jana Hutchison, Bingjie Li, Erin Connor, and John Cole USDA, Agricultural.
Introducing CDCB Health Evaluations
Impact of climate change on animal production
Correlations Among Measures of Dairy Cattle Fertility and Longevity
Genomic Selection in Dairy Cattle
Use of a threshold animal model to estimate calving ease and stillbirth (co)variance components for US Holsteins.
Validation of genomic predictions and genomic reliability
Can you believe those genomic evaluations for young bulls?
Increased reliability of genetic evaluations for dairy cattle in the United States from use of genomic information Abstr.
Effectiveness of genetic evaluations in predicting daughter performance in individual herds H. D. Norman 1, J. R. Wright 1*, C. D. Dechow 2 and R. C.
Hay Burners versus Hay Converters (a.k.a. Feed Efficiency)
Wading through the confusion of EPDs and genomics
Presentation transcript:

DairyBio Animal Program Breeding for heat tolerance Jennie Pryce and Thuy Nguyen

Heat tolerance Heat stress: temperature & humidity above comfort zones Leads to: Reduction in feed intake, milk yield, fertility Loss of income Major dairying regions in Australia will experience an increase in daily average temperatures And more frequent heat waves and longer duration Attempts: Cool Cows, cool diets, genomic selection, gene editing

Possible measures: Use adapted breeds SLICK – mutation of large effect Senepol cattle – heat tolerant Bos taurus with slick coat Mutation in prolactin receptor Littlejohn et al. 2014, Nat Comms, 5:5861 Introgressed into Holsteins – less drop in milk production in summer Dikmen et al. J Dairy Sci. 2014 97:5508. Gene editing target The Senepol breed of beef cattle was developed on the Caribbean Island of St. Croix. Single base deletion causes a premature stop codon and loss of 120 aa from the long isoform of the receptor.

Genomic selection for heat tolerance Exploit within breed variation Genome wide DNA markers

Validation Implementation Development Validation Implementation What trait to measure?

Dairy cattle and ambient heat load Lower critical THI Upper critical THI Cold stress Thermal-neutral zone Heat stress THI threshold (60) is equivalent to 20oC at 45% relative humidity Temperature – Humidity Index (THI) low high Adapted from NRC (1981) Cows are homeothermic, that is they have a thermoregulation system that help to maintain a stable internal body temperature Thermal-neutral zone: Range of temperature & humidity where animal uses no additional energy to maintain core body temperature

1,762 Holstein 519 Jersey herds Merge herd test records with weather data (temperature-humidity index, THI)

Genomic Selection THI Estimated cow slopes Production Eggen, 2012. Animal Frontiers 2:10-15. Estimated cow slopes Decline in milk, fat and protein yields per unit increase in THI Sire slope = average of daughters

Ginfo 24,084 10,000 cow Jernomics May 2017 J 10254 cows 4628 bulls with Australian daughters Ginfo 24,084 10,000 cow Jernomics 1177 bulls with Australian daughters 4232 cows

Ginfo cows improved reliability Breed Trait Without Ginfo Reliability (%) With Ginfo Reliability (%) Holstein Milk 19 42 Fat 20 40 Protein 26 38 Jersey 24 36 25 27

Expression Decline in production ($) per unit increase of THI Components Standardised to mean = 100, standard deviation = 5

Heat tolerance ABV % Production Positive An animal with a Heat Tolerance ABV of 105 is 5% more tolerant to hot, humid conditions than average. Its drop in production will be 5% less than average. Average Negative Temperature-Humidity Index

Standardised ABVs

Validation study Garner et al (2016) Scientific Reports 400 heifers screened on genomic breeding value for heat tolerance calculated 24 predicted most heat tolerant, 24 predicted most heat susceptible selected Evaluate performance in simulated 4d heat wave event at Ellinbank Measure milk production, core temperature

Empirical validation Difference in intra-vaginal temperature Decline in milk production Garner et al (2016) Scientific Reports

What’s next Heat tolerance in relation to health and fertility Genotype by environment interactions for heat tolerance Breeding values for more breeds and crossbreeds Evaluating predictors of heat tolerance

Take home messages It’s possible to breed for heat tolerance Genetic progress is permanent and cumulative Select bulls from Good Bulls Guide using an Aussie index (BPI, HWI or TWI) If farming in hot and humid conditions pick bulls with above average ABV(g)s for heat tolerance (>100)

App available to select bulls

Acknowledgements The Department of Agriculture & Water Resources The Australia Dairy Herd Improvement Scheme, DataGene Dairy Futures CRC, DairyBio ( AgVic & Dairy Australia ) CSIRO and Bureau of Meteorology – Climate Change in Australia