Lecture 6 - Milk production data (II)

ANSCI 4940 - Spring 2026

Meike van Leerdam

monitoring milk yield

  • What is the goal of the farm
  • What is the size of the farm
  • What management system do they use > seasonal, grazing, free stall etc.

Things to take into account looking at data

  • Test day average vs rolling averages
  • What are you trying to optimize?

Bias

average bias

Past/Present/Future

Past: Rolling average

Present: Test day average

Future: Production < 100 DIM

Far Future: Heifer production

average bias

What dictates milk production

phenotype = genotype + environment

Genetics

\[ \Delta G_{year} = \frac{ \sqrt{\text{reliability}} \times \text{selection intensity} \times \sqrt{\text{genetic variance}} }{ \text{generation interval} } \]

Effect of selection differs

  • Traits associated with physical shape and size
    • High heritability (≥ 40%)
  • Traits related to milk and solids yield
    • Moderate heritability (15–30%)
  • Traits associated with health and fertility
    • Low heritability (≤ 10%)

Calculation of Breeding Values

\[ y = Xb + Zu + e \]

  • y = observed phenotypes
  • b = fixed effects (e.g., sex, management)
  • u = random genetic effects (breeding values)
  • e = residual error
  • X, Z = link observations to effects

What do we get from this?

  • Each animal receives an estimate of genetic merit
  • Called Predicted Transmitting Ability (PTA)
  • PTA = breeding value ÷ 2

Note:
Real U.S. animal models are more complex and include: - Contemporary groups
- Herd-by-sire effects
- Permanent environmental effects

Genomic prediction

What is genomic prediction? - Uses DNA information + phenotypes + pedigree to estimate genetic merit - DNA markers = SNP (positions in the genome with two variants)

Why use genomics? - DNA is not influenced by environment - Improvs accuracy of breeding value estimation - Allows evaluation of young animals without records

How are genomic PTA calculated?

  • Estimate SNP effects using a predictor population with reliable PTA
  • Combine:
    • Genomic predictions from SNP
    • Parent averages (PA)
    • Traditional pedigree + phenotype evaluations

Net merit dollar value

The expected difference in lifetime profit (in USD) of a cow (or bull’s daughters) compared to a reference animal, due solely to genetics, assuming typical U.S. management and prices.

“If I replace one genetically average cow with this one, how much more (or less) money will I make over her lifetime?”

What is in it?

net_merit

Different indexes

different_merit

different_merit

Shift to prezi

presentation