interbull meeting – dublin 2007 genetic parameters of butter hardness estimated by test-day model...

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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. Gengler 1,5 1 Animal Science Unit, Gembloux Agricultural University, B-5030 Gembloux, Belgium 2 Fond pour la Recherche dans l’Industrie et l’Agriculture (F.R.I.A.), B-1000 Brussels, Belgium 3 Quality Department, Walloon Agricultural Research Centre, B-5030 Gembloux, Belgium 4 Research & Development Department, Walloon Breeders Association, B-5590 Ciney, Belgium 5 National Fund for Scientific Research (F.N.R.S.), B-1000 Brussels, Belgium

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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. Gengler 1,5

1 Animal Science Unit, Gembloux Agricultural University, B-5030 Gembloux, Belgium2Fond pour la Recherche dans l’Industrie et l’Agriculture (F.R.I.A.), B-1000 Brussels, Belgium

3 Quality Department, Walloon Agricultural Research Centre, B-5030 Gembloux, Belgium4 Research & Development Department, Walloon Breeders Association, B-5590 Ciney, Belgium

5 National Fund for Scientific Research (F.N.R.S.), B-1000 Brussels, Belgium

Introduction

Fatty acids (FA) composition influences the technological properties of butter

Already Coulter and Hill (1934) showed breed differences: Butter of Channel Island was firmer than the one

produced by Holstein or Ayrshire cows

Bobe et al. (2003): UNSAT spreadable, softer and less adhesive Phenotypic variation in FA composition among cows

fed with the same diet was sufficient to produce butter with different textural properties.

Objectives

Estimate the genetic parameters of the hardness of butter and

Estimate its correlations with milk yield, fat and protein contents using a multi-trait random regression test-day model.

Materials & Methods

Data: Cows 85% Holstein in the first lactation 3,853 spectral test-day records

• Between April 2005 and May 2007• Walloon milk recording• MilkoScan FT6000

1,099 cows in 87 herds Added historical data for cows and herds

• First lactation test-day milk yields, %FAT, %PROT

Final data: 57,759 test-day records from 7,070 cows

Materials & Methods

Prediction of FA: Soyeurt et al. (2006) : capillary column of 50m

length New calibration equations : capillary column

of 100m length• R²cv for SAT = 0.97• R²cv for UNSAT = 0.93

Hardness of butter : SAT/UNSAT

Materials & Methods

Estimation of (co)variance components: Multi-trait random regression model:

• Milk yield, %FAT, %PROT and SAT/UNSAT Fixed effects:

• Herd * test day• Class of 15 DIM (<5 and >365 were deleted)• Class of age (<29 mo, 29-32 mo and 33 mo)

Random effects: • Random regressions:

– Herd*calving year– Permanent environment– Animal genetic effect

• Residual effects considered independent

Trait Lactation

heritability Average daily

heritability Milk (kg/day) 0.28 0.24 Fat (%) 0.61 0.35 Protein (%) 0.65 0.44 SAT/UNSAT 0.22 0.11

Results & Discussion

Table 1. Heritability estimates on lactation and average daily heritability values calculated for all studied traits.

Results & Discussion

Trait Milk Fat Prot. S/U Milk (kg/day) -0.42 -0.65 0.05 Fat (%) -0.50 0.60 0.39 Protein (%) -0.42 0.56 0.28 SAT/UNSAT -0.71 0.87 0.58

Table 2. Phenotypic (above the diagonal) and genetic correlations (below the diagonal) among studied traits.

Phenotypic correlation close to 0 suggested no dilution effect

Strong negatively genetic correlations with milk yield

Results & Discussion

Trait Milk Fat Prot. S/U Milk (kg/day) -0.42 -0.65 0.05 Fat (%) -0.50 0.60 0.39 Protein (%) -0.42 0.56 0.28 SAT/UNSAT -0.71 0.87 0.58

Table 2. Phenotypic (above the diagonal) and genetic correlations (below the diagonal) among studied traits.

Hardness of butter was affected by milk composition

Stronger link between %FAT and SAT/UNSAT

Results & Discussion

Figure 1. Phenotypic correlations among traits within DIM.

Milk – SAT/UNSAT

Linear increase

Dilution effect

%FAT – SAT/UNSAT

Strong link

Increased when %FAT decreased

%PROT-SAT/UNSAT

Stable-0.8

-0.6

-0.4

-0.2

0

0.2

0.4

0.6

0.8

1

5 30 55 80 105 130 155 180 205 230 255 280 305 330 355

Days in milk

Phenoty

pic

corr

ela

tions

ppp

Milk - SAT/UNSAT %Fat - SAT/UNSAT %Protein - SAT/UNSAT

Results & Discussion

Figure 2. Genetic correlations among traits within DIM.

Higher than phenotypic correlations

Milk – SAT/UNSAT

Dilution effect

%FAT – SAT/UNSAT

Strong link

%PROT-SAT/UNSAT

Stable-0.8

-0.6

-0.4

-0.2

0

0.2

0.4

0.6

0.8

1

5 30 55 80 105 130 155 180 205 230 255 280 305 330 355

Days in milk

Gen

etic

corr

elat

ions

ppp

Milk - SAT/UNSAT %Fat - SAT/UNSAT %Protein - SAT/UNSAT

Conclusion & Perspectives

First results: Genetic variability of the hardness of butter

seemed to exist Affected by milk production Influenced by the variation of %FAT but less

by the variation of %PROT

Perspectives: From Sept. 2007, all spectra will be recorded In a few years, more data will be available for

modeling and potential genetic evaluations

Thank you for your attention

Acknowledgement :

Study supported of FRIA through grant

scholarship and FNRS through grants

F.4552.05 and 2.4507.02

Corresponding author :

Hélène Soyeurt

Passage des Déportés, 2

5030 Gembloux

BELGIUM

E-mail : [email protected]