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Multiple Trait Selection for Maternal Productivity

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Multiple Trait Selection for Maternal Productivity. D. H. Crews, Jr., P. B. Mwansa and R. A. Kemp. Agriculture and Agri-Food Canada Research Centre, Lethbridge, AB ... – PowerPoint PPT presentation

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Title: Multiple Trait Selection for Maternal Productivity


1
Multiple Trait Selection for Maternal Productivity
  • D. H. Crews, Jr., P. B. Mwansa and R. A. Kemp
  • Agriculture and Agri-Food Canada Research Centre,
    Lethbridge, AB

2
What is maternal productivity?
  • Reproductive rate
  • Age at puberty
  • Heifer pregnancy rate, calving ease and 3 yr old
    rebreed rate
  • Persistence into profitable parities
  • Calf growth
  • Direct genetics for growth
  • Maternal genetics ? milk production
  • Cow maintenance requirements
  • Weight
  • Intake

Low heritability, Difficult evaluation
Everyone already does this
Cant measure this
3
Data and Information
  • One obstacle to new index development is
    capturing information on new traits
  • We are often limited by what data is routinely
    and comfortably recorded in national databases

You want to measure what?!?
4
Multiple Trait Selection
  • Measure This
  • Growth
  • Cow weight
  • Calves Reproductive years
  • Evaluate This
  • Maternal Productivity

5
Trait Definitions
  • Direct weaning weight
  • Maternal weaning weight
  • Cow weight at calf weaning
  • Indicator for maintenance costs
  • Stayability
  • Pr(3 1) probability that a female will have
    at least three calves given she became a dam

6
Multiple Trait Selection Index Objective
  • The selection objective was to increase genetic
    potential to consistently wean heavy calves while
    maintaining input costs which yielded an
    aggregate genetic value function
  • MPI v1 WWT v2 MLK v3 CWT v4 STY
  • with resulting economic weights
  • v1 1.17
  • v2 0.98
  • v3 -0.14
  • v4 2.39

7
MPI NCE Genetic Parameters
-0.48
8
Relative Emphasis
  • The relative contribution of component traits to
    variation in the index
  • Weaning weight 30
  • Milk 25
  • Cow weight 13
  • Stayability 27

9
Making the MPI User Friendly
  • The MPI can be interpreted as any other EPD
  • It is a combination of EPD with relative economic
    values
  • The units are differences
  • Information packaging is an important part of
    making indexes useful selection tools rather than
    only marketing tools
  • The MPI can be expressed with any mean and
    variance
  • e.g. mean 100, SD 25

10
MPI Validation
  • What differences in animals are we evaluating?
  • Is the MPI the same as selection for component
    traits?
  • Separation of MPI evaluation into high and low
    groups
  • High gt 2 SD greater than the mean MPI (n
    17,328)
  • Low gt 2 SD less than the mean MPI (n 11,496)
  • Comparison of standardized component EPD between
    groups
  • What component traits are most related to the MPI?

11
Component Traits in High and Low MPI Groups

12
To Summarize
  • The MPI was developed with the breeding objective
    to increase genetic potential to consistently
    wean heavier calves over a sustained productive
    life while maintaining input costs
  • Annual or generational genetic trend is expected
    to be positive for all component traits, however,
    cow weight increases would be minimal
  • As a multiple trait index, component trait values
    vary
  • Animals with different component EPD have similar
    MPI

13
Summary
  • The MPI places more relative emphasis on maternal
    characteristics and stayability than on growth
  • Accuracy and intensity are greatly reduced when
    data (information) is lacking on grandprogeny
  • MPI selection is not equivalent to selection for
    any of the component traits alone
  • Validation with maternal indexes is a challenge
  • MPI validation is still largely to be conducted
  • The MPI needs to be expanded to include more
    components, which will come with data

14
Thank you
  • dcrews_at_agr.gc.ca
  • 403-317-2288
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