Breeding for milkability How to use the new possibilities · 2015-09-18 · Breeding goal expressed...

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Transcript of Breeding for milkability How to use the new possibilities · 2015-09-18 · Breeding goal expressed...

Kevin Byskov

Anders Fogh

Videnscentret for

Landbrug, Kvæg

Breeding for milkability – How to use the

new possibilities

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Why calculate breeding values for

milkability?

Labour is expensive – time used for milking has to

be minimized

Equipment is expensive – AMS systems has to

optimize kg fat+protein produced per hour

Breeding is an important part of improving milkability –

reliable EBV for milkability is important

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What new possibilities are avaliable?

New equipment can measure milkability

Lots of new quality data are avaliable on central

database

More reliable EBV’s for milkability can be calculated

More genetic progress can be acheived

Information about milkability

Classification

original source of information in all Nordic

countries

TrueTest Milk Meters

Danish herds

Development project in Finland

AMS

Danish Lely AMS herds – use for research purpose

Sweden DeLaval and GEA

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Present genetic evaluation for milkability

EBVs for milking speed based on:

• Assessed by dairy farmers (DK, S, F)

• Registrations by milk meters (DK)

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• 60-70 % of all Danish cows in milk

recording

• Milking; duration, volume and milk

sample

• Collected 6/11 times a year on farm

TruTest electronic milk meters

Milk flow differences between herds

0

50

100

150

200

250

300

350

400

450

500

0,8 1 1,2 1,4 1,6 1,8 2 2,2 2,4 2,6 2,8 3 3,2 3,4

An

tal b

esæ

tnin

ger

Kg mælk/ minut

Danish Holstein

How to define milkability from TruTest

Milk Meters?

Milking time, minutes

Flow, kg/min

Actually both had high correlation to farmers

classification (rg ~ 0.9)

But using milking time would create a very negative

correlation to yield traits.

Flow of milk or solids?

Income from solids

Fluid is only cost

Flow of solids is the goal!

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Milk flow

First lactation

0,00

0,50

1,00

1,50

2,00

2,50

RDM HOL JER

Mil

k f

low

kg

/min

- 7 % -12 %

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Fat + Protein flow

First lactation

0,000

0,050

0,100

0,150

0,200

RDM HOL JER

Fat+

Pro

tein

flo

w k

g/m

in

-3% +18 %

Genetic evaluation

Milkability

Flow F + P

Classification

We choose flow if both sources are available !

Effect on r2 for a cow with own

performance

13

Reliability, pedigree = 0,35

Heritability milkability score ≈ 0,20

Reliability score+ped = 0,44

Heritability avg. 5 flow obs. ≈ 0,50

Reliability flow+ped = 0,61

For bulls equals 1 daughter with flow approx 3

daughters with milkability score!

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Effect of index for milkability

For all breeds the effect of difference of +10 index

units between sires is +10 grams of fat and protein

in total per minute

For standard milk +10 units corresponds to 0.13 kilo

more milk per minute

For Holstein +10 index units equals about 2.37 liters

of milk / min

For a cow with daily yield of 30 kg of standard milk,

milking time is 45 seconds or 5% shorter than for an

average cow

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Milkability in breeding goal

Breeding goal expressed in NTM

Economic optimal progress for Nordic farmers

Weight factors reflects economic value of less work

load from improving milkability with one unit

Breed Weight factor

Red breeds 0,10

Holstein 0,08

Jersey 0,10

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Collection of data from electronic equipment

gives new possibilities

• Registration of data exposing new traits and

registrations complementary to existing registrations

• Repeated measurements

• Objective measurements

• Measured on all cows in milk

• Measured over more lactations

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• 10-15 % of all Danish cows

• Data collected routinely since Nov. 2011

• Collection done by milk recording technician

• Collected 6/11 times a year

• Data from DeLaval and GEA

in Sweden

Lely robots

0

25

50

75

100

125

150

175

200

0

500.000

1.000.000

1.500.000

2.000.000

2.500.000

3.000.000

3.500.000

4.000.000

Nu

mb

er

of

herd

s

Nu

mb

er

of

vis

its

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Data collection

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Pilot study – Genetic parameters, flow

h2 for flowAMS is higher than for traditional

classifications and flowTruTest.

Avg. of 14 days.

High genetic correlations between traits

Heritabilities og genetic correlations (S.E.)

h2 classifications Flow, TruTest

Flow (F+P), AMS 0,63 (0,07) 0,91 (0,05) 0,94 (0,03)

Classifications 0,20 (0,02) - 0,91 (0,02)

Flow (F+P), TruTest 0,41 (0,01) - -

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Conclusion - Flow

It is possible to utilize data from AMS in routine

evaluation for milking speed.

Limited effect for bulls

Already a lot of data from TruTest-meters.

Cows from AMS-herds get own performance

included.

Thank you for your attention

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