Selection Decisions Using Economically Relevant Traits: The Pathway to Indexes

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Selection Decisions Using Economically Relevant Traits: The Pathway to Indexes B. L. Golden 1 California Polytechnic State University, San Luis Obispo

description

Selection Decisions Using Economically Relevant Traits: The Pathway to Indexes. B. L. Golden 1 California Polytechnic State University, San Luis Obispo. Objectives. Review and Chronicle the Principle of Economically Relevant Traits (ERT) Pu t ERT in Context. Ancient History. Breeds. - PowerPoint PPT Presentation

Transcript of Selection Decisions Using Economically Relevant Traits: The Pathway to Indexes

Page 1: Selection Decisions Using Economically Relevant Traits: The Pathway to Indexes

Selection Decisions Using Economically Relevant Traits: The Pathway to

Indexes

Selection Decisions Using Economically Relevant Traits: The Pathway to

IndexesB. L. Golden

1California Polytechnic State University, San Luis Obispo

B. L. Golden

1California Polytechnic State University, San Luis Obispo

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ObjectivesObjectives

Review and Chronicle the Principle of Economically Relevant Traits (ERT)

Put ERT in Context

Review and Chronicle the Principle of Economically Relevant Traits (ERT)

Put ERT in Context

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Ancient HistoryAncient History

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BreedsBreeds 1881-1883 First American

breed associations formed Hereford Shorthorn Angus

Numerous other breeds imported 1936 Charolais 1960’s others

Development of U.S. breeds 1918 Santa Gertrudis

1881-1883 First American breed associations formed Hereford Shorthorn Angus

Numerous other breeds imported 1936 Charolais 1960’s others

Development of U.S. breeds 1918 Santa Gertrudis

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Registered PurebredRegistered Purebred

Historically, virtually solely responsible for genetic improvement.

Historically “reluctant to embrace new genetic technology” (Benyshek, et al., 1997).

Visual Appraisal

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Performance Records*Performance Records*

1936 - Miles City cattle production records program

1941 - 1st gain test in Texas 1945-1950 - State BCI programs 1955 - Virginia was 1st BCIA 1955 - PRI formed in TX 1959 - RAAA required performance for

registration 1964 - 5 breeds had performance

programs

1936 - Miles City cattle production records program

1941 - 1st gain test in Texas 1945-1950 - State BCI programs 1955 - Virginia was 1st BCIA 1955 - PRI formed in TX 1959 - RAAA required performance for

registration 1964 - 5 breeds had performance

programs*Eller, A. L., 2007

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1965 - ASAS’s U.S. Beef Cattle Records Committee

ReportRecommended Procedures for

Measurement of Traits of Economic Importance

1965 - ASAS’s U.S. Beef Cattle Records Committee

ReportRecommended Procedures for

Measurement of Traits of Economic Importance

PRI State BCIA’s Breed associations

PRI State BCIA’s Breed associations

Who would process the data and implement?

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1968

1972 - 1st BIF Guidlines

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Cattle EvaluationCattle Evaluation

1971-1972 American Simmental Sire Summary

1972 - C.R. Henderson’s Lush Symposium paper

1974-1979 - BLUP implemented for several breeds EPDS became the standard Mostly designed sire evaluation programs

1971-1972 American Simmental Sire Summary

1972 - C.R. Henderson’s Lush Symposium paper

1974-1979 - BLUP implemented for several breeds EPDS became the standard Mostly designed sire evaluation programs

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1955 - 1st fully transistorized computer TRADIC AT&T Bell Labs

1952 - 1st language compiler, A-0

http://www.computerhistory.org

1957 - IBM invented FORTRAN

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1962 - DEC’s LINC-8 became the first laboratory computer for faculty - Mostly Biomed research1

1http://ed-thelen.org/comp-hist/vs-dec-linc-8.html

1965 - PDP-82

2http://www.computerhistory.org

1969 - Unix was developed2

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Modern HistoryModern History

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1974-1979BLUP Sire Models

y = Xb + Zs + e

1974-1979BLUP Sire Models

y = Xb + Zs + e

Angus Hereford Polled Hereford Shorthorn Limousin Red Angus

Angus Hereford Polled Hereford Shorthorn Limousin Red Angus

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1975 to 19951975 to 1995

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Early 1980’sBig Iron

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Breed AssociationsBreed Associations

1989 - ~ 20 breed associations conducting genetic evaluations

mid 1990’s - Online reporting and recording

Fundamental shift in associations’ roles

1989 - ~ 20 breed associations conducting genetic evaluations

mid 1990’s - Online reporting and recording

Fundamental shift in associations’ roles

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Strategic MilestonesStrategic Milestones

1995 - Whole Herd Reporting 1995 - International Cattle Evaluation

(ICE) 1995 - Online reporting and recording 1996 - Across Breed Comparisons 2004 - Economic Indexes

Breeding objectives 1994 (Harris and Newman)

1995 - Whole Herd Reporting 1995 - International Cattle Evaluation

(ICE) 1995 - Online reporting and recording 1996 - Across Breed Comparisons 2004 - Economic Indexes

Breeding objectives 1994 (Harris and Newman)

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In-House Evaluation & Non- University Service

Providers

In-House Evaluation & Non- University Service

Providers 1998 - ASA 2003 - AAA 2008 - Limousine 2008 - Red Angus

1998 - ASA 2003 - AAA 2008 - Limousine 2008 - Red Angus

2001 -

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Other Technological Milestones

Other Technological Milestones

More models Algorithms Approaches

More models Algorithms Approaches

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Molecular InformationMolecular Information

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More TraitsMore Traits

1983(?) - Maternal milk 1985 - Calving ease 1986 - Gestation length ? Scrotal Circumference 1990 - Carcass traits 1993 - Docility 1995 - Stayability 1997 - Heifer pregnancy 2003 Maintenance energy …

1983(?) - Maternal milk 1985 - Calving ease 1986 - Gestation length ? Scrotal Circumference 1990 - Carcass traits 1993 - Docility 1995 - Stayability 1997 - Heifer pregnancy 2003 Maintenance energy …

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Sire Summary of the Future?

Sire Summary of the Future?

Birth directBirth maternalWeaning directWeaning maternalTotal maternalYearling direct600 d directCalving directCalving maternalCarcass wtRib fatRump fatLMAMarb scoreQuality grade% Retail yieldLbs (kg) retail yieldYield gradeUs LMAUS rib fatUs % IMFFat percentageCondition score

Birth directBirth maternalWeaning directWeaning maternalTotal maternalYearling direct600 d directCalving directCalving maternalCarcass wtRib fatRump fatLMAMarb scoreQuality grade% Retail yieldLbs (kg) retail yieldYield gradeUs LMAUS rib fatUs % IMFFat percentageCondition score

Gestation lengthDays to calvingCalving intervalStayabilityHeifer pregnancy rateRebreeding rateCalf weaned/cow exposedScrotal circumferencePelvic areaFrame scoreMuscle scoreUdder scoreDocilityTick scoreParasite egg countMature weightMaintenance energyFeed efficiencyDrop weightType scoreUterine scoreTooth scorePrecocity score

Gestation lengthDays to calvingCalving intervalStayabilityHeifer pregnancy rateRebreeding rateCalf weaned/cow exposedScrotal circumferencePelvic areaFrame scoreMuscle scoreUdder scoreDocilityTick scoreParasite egg countMature weightMaintenance energyFeed efficiencyDrop weightType scoreUterine scoreTooth scorePrecocity score

Feedlot feed consumptionFeedlot surv.Pre-wean surv.Serving capacityServing proportionSemen volumeHip heightLeg scoreLength productive lifeDoing abilityGrand-maternal weaningTwinning rateDays to 11mm BFDays to 75% ChoiceDays to carc wt.Hair whorl scoreAverage daily gainWt. /day of ageLiver weightResting heart ratePulmonary arteriole pressureBrisket disease rateBraveryAggression

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2 Categories of Traits2 Categories of Traits

Indicator traits

Economically relevant traits

Indicator traits

Economically relevant traits

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Economically Relevant Traits

2000

Economically Relevant Traits

2000

Golden, B.L., D.J. Garrick, S. Newman, and R.M. Enns. 2000. Economically relevant traits: A framework for the next generation of EPDs. Proc. Beef Improvement Federation 32nd Annual Research Symposium and Annual Meeting, Wichita, Kansas. pp 2-13.

“Economically relevant traits are the traits that directly affect profitability by being associated with a specific cost of production or an income stream.”

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Indicator TraitIndicator Trait

A trait with a genetic correlation to an ERT so that including it in the EPD production analysis increases the accuracy of the ERT EPD.

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Using EPD of indicator traits

in a selection decision DECREASES the accuracy of the selection decision

Using EPD of indicator traits

in a selection decision DECREASES the accuracy of the selection decision

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Scrotal CircumferenceIndicator Trait or ERT?Scrotal CircumferenceIndicator Trait or ERT?

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Frame ScoreIndicator Trait or ERT?

Frame ScoreIndicator Trait or ERT?

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Feedlot Feed ConsumptionIndicator Trait or ERT?

Feedlot Feed ConsumptionIndicator Trait or ERT?

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Heifer Pregnancy RateIndicator Trait or ERT?Heifer Pregnancy RateIndicator Trait or ERT?

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Weaning WeightIndicator Trait or ERT?

Weaning WeightIndicator Trait or ERT?

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Mature WeightIndicator Trait or ERT?

Mature WeightIndicator Trait or ERT?

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Should indicator trait EPD be published?

Should indicator trait EPD be published?

Should indicator traits be measured?

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Measuring indicator traits is essential to the success of your genetic evaluation

program

Measuring indicator traits is essential to the success of your genetic evaluation

program

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Why do we publish Birth Weight EPD?

Why do we publish Birth Weight EPD?

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The EPD we should produce entirely depends on the tools we want to

have to use them.

The EPD we should produce entirely depends on the tools we want to

have to use them.

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Guideline: Only publish EPD that are used in any type of

Partial Budget Decision Analysis

Guideline: Only publish EPD that are used in any type of

Partial Budget Decision Analysis

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Partial Budget Decision AnalysisPartial Budget

Decision AnalysisAny analysis that predicts the financial impact of incremental changes in revenue and costs from alternative decisions.

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In 2000 (14 years ago):In 2000 (14 years ago):

“…to be used in an optimal manner, ERT-EPD should be used in a decision-making framework incorporating the breeder’s/producer’s desires for longer-term viability of their production system.”

“Finally, systems that are better than EPDs should be developed for presentation to bull breeders and bull buyers.”

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EPDs are just parametersNot answers

Do a better job ofDecision Analysis

EPDs are just parametersNot answers

Do a better job ofDecision Analysis

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Until recently, relatively few tools available

INDEXES

Until recently, relatively few tools available

INDEXES

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The Age of Genomic Data

The Age of Genomic Data

Decisions are more complex and

expensive

Decisions are more complex and

expensive

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Questions: Who do you genotype and with what density?

Questions: Who do you genotype and with what density?

Purebred Breeder

Commercial Producer

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Questions:How do you use the information?

Questions:How do you use the information?

E.g., Accuracy

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New Models and Methods Allow New Things

New Models and Methods Allow New Things

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To Develop IndexesWe Need Production Simulation Models

To Develop IndexesWe Need Production Simulation Models

Models for producers Models for breeders What ERT we produce completely

depends on the models

Models for producers Models for breeders What ERT we produce completely

depends on the models

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