in culling decisions in seasonal dairy herds M.M. Kelleher, D.P. - - PowerPoint PPT Presentation

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in culling decisions in seasonal dairy herds M.M. Kelleher, D.P. - - PowerPoint PPT Presentation

Cow Own Worth synergising data to provide a new tool to aid in culling decisions in seasonal dairy herds M.M. Kelleher, D.P. Berry, P.R. Amer, A. Cromie, R. Evans Speaker: Margaret Kelleher ICBF Database Farmers Bord Bia Irish Food


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SLIDE 1

Cow Own Worth – synergising data to provide a new tool to aid in culling decisions in seasonal dairy herds

M.M. Kelleher, D.P. Berry, P.R. Amer, A. Cromie, R. Evans Speaker: Margaret Kelleher

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SLIDE 2

ICBF Database

ICBF Database

Farmers

Abattoirs Dept. Agri AI companies Milk recording Teagasc Research Breed Societies Milk Co-ops Marts HerdPlus Vet labs Bord Bia Irish Food Board

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SLIDE 3

3

Cow’s Own Worth (COW) Designed to represent more closely the future phenotypic performance of dairy females

A new system to rank females on predicted profit potential

  • Spring-calving system
  • EBI – Economic Breeding Index

(national breeding index)

  • Centralised database
  • Reward data recording herds

with an added value service

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SLIDE 4

Question – who would you cull?????

EBI €100 EBI €200

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SLIDE 5

Question – who would you cull?????

EBI €100 Parity 2 EBI €200 Parity 5

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SLIDE 6

Question – who would you cull?????

EBI €100 Parity 2 Calved Feb EBI €200 Parity 5 Calved April

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SLIDE 7

Question – who would you cull?????

EBI €100 Parity 2 Calved Feb Av SCC 210 EBI €200 Parity 5 Calved April Av SCC 120

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SLIDE 8

8

Cow’s Own Worth (COW)

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SLIDE 9

9

Expected profit from:

Current Lactation Future Lactations Net Culling Cost

  • Milk
  • Health
  • Management
  • Maintenance
  • Fertility (calving date)
  • Milk
  • Health
  • Beef
  • Calving
  • Management
  • Maintenance
  • Fertility
  • Descendants
  • Cull cow value
  • Replacement cost

+ predictions on fertility, survival and SCC performance

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SLIDE 10

10

Current lactation profit

Current Lactation

  • Milk
  • Health
  • Management
  • Maintenance
  • Fertility (calving date)

Current milk price Costs per calving month MDSM Actual calving date

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SLIDE 11

11

Expected profit from:

Current Lactation Future Lactations Net Culling Cost

  • Milk
  • Health
  • Management
  • Maintenance
  • Fertility (calving date)
  • Milk
  • Health
  • Beef
  • Calving
  • Management
  • Maintenance
  • Fertility
  • Descendants
  • Cull cow value
  • Replacement cost

+ predictions on fertility, survival and SCC performance

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SLIDE 12

12

Future lactations profit

Future Lactations

  • Milk
  • Health
  • Beef
  • Calving
  • Management
  • Maintenance
  • Fertility
  • Descendants
  • Cull cow value
  • Replacement cost

+ predictions on fertility, survival and SCC performance

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SLIDE 13

13

Future lactations profit

Future Lactations

  • Milk
  • Health
  • Beef
  • Calving
  • Management
  • Maintenance
  • Cull cow value
  • Replacement cost

Future milk price MDSM

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SLIDE 14

14

Future lactations profit

Future Lactations

  • Descendants
  • Cull cow value
  • Replacement cost

EBI times Cumulative Discounted Expression

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SLIDE 15

15

Future lactations profit

Future Lactations

  • Fertility
  • Cull cow value
  • Replacement cost

+ predictions on fertility, survival and SCC performance

Actual calving date Next calving date Genetic effects

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SLIDE 16

16

Future fertility performance

Jan Feb Mar Apr May 1 2 3 4 5 6 7 8 9 10 Best Genetics Worst Genetics

Jan Feb Mar Apr May Proportion 0.14 0.53 0.22 0.08 0.03 Cost (€) 0.00 0.00

  • 151.00
  • 210.00
  • 437.00

∑Cost (€)

  • 63.13

Jan Feb Mar Apr May Proportion 0.13 0.39 0.25 0.15 0.07 Cost (€) 0.00 0.00

  • 151.00
  • 210.00
  • 437.00

∑Cost (€)

  • 99.84

Difference of €36.71

Transition matrices

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SLIDE 17

17

Expected profit from:

Current Lactation Future Lactations Net Culling Cost

  • Milk
  • Health
  • Management
  • Maintenance
  • Fertility (calving date)
  • Milk
  • Health
  • Beef
  • Calving
  • Management
  • Maintenance
  • Fertility
  • Descendants
  • Cull cow value
  • Replacement cost

+ predictions on fertility, survival and SCC performance

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SLIDE 18

18

Net culling cost

Net Culling Cost

  • Cull cow value
  • Replacement cost

Cull value

Salvage value + GeneticsCWT

Replacement cost Long term replacement requirement

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SLIDE 19

19

Group Milk (kg) Fat (g/100g) Protein (g/100g)

COW EBI COW EBI COW EBI

Best

(Top 25%)

6965 (6.17) 6674 (6.32) 4.07 (0.003) 4.11 (0.003) 3.57 (0.001) 3.57 (0.003)

Good

6695 (6.45) 6580 (6.38) 4.03 (0.003) 4.04 (0.003) 3.52 (0.001) 3.52 (0.003)

Poor

6512 (6.18) 6530 (6.27) 4.01 (0.003) 4.00 (0.003) 3.49 (0.001) 3.49 (0.003)

Worst

(Bottom 25%)

6164 (6.08) 6467 (6.24) 3.97 (0.003) 3.93 (0.003) 3.44 (0.001) 3.44 (0.003)

Results: Milk production

€360 more value per cow per lactation for cows in top 25% versus bottom 25%

€9000

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SLIDE 20

7. 7. My My mi milk lk recor

  • rdin

ing g infor

  • rmatio

ion ha has s mor more valu lue no now w th that I ca can rece ceiv ive a COW irepor

  • rt.

8. 8. I wou

  • uld like the

the COW to

  • be

be gen enerated for

  • r my

y her herd fr from

  • m no

now w on.

  • n.

9. 9. I wou

  • uld

ld rec ecommend the the na natio ional l extensio ion of

  • f the

the COW to

  • al

all dairy dairy mi milk lk recor

  • rdin

ing g her herds in n 2017. 2017.

2% 5% 5% 10% 5% 0% 0% 0% 2%

5% 10% 5% 10% 7% 9% 7% 2% 2%

93% 86% 91% 80% 88% 91% 93% 98% 95%

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

COW was able to identify cows performaing well COW was able to identify cows for culling I would use COW to help inform culling decisions if it were available from ICBF The report easy to read The summary tables were useful to highlight specific areas of production The colour coding of the top and bottom 10% on traits was useful My milk recording has more value now that I can receive COW I would like COW to be generated for my herd from now on I would recommend the national extension of the COW in 2017

Percentage

Question Agree Neither Disagree

1. 1. COW was as able able to

  • ide

dentify ify cows per perfor

  • rmin

ing well ell wi within in my y her herd. 2. 2. COW was as abl able to

  • ide

dentify fy cows for

  • r

cul ulli ling g wi within in my y her herd. 3. 3. I wou

  • uld

ld use use the the COW to

  • help

help infor

  • rm my

y cul ullin ing g deci decisio ions if f it t wer ere to

  • be

become a a rou

  • utin

tine ser ervic ice fr from

  • m ICBF

CBF. 4. 4. I fou

  • und

nd the the rep epor

  • rt ea

easy to

  • read

ead. 5. 5. Th The e sum ummary ry tab able les wer ere use useful l to

  • hi

high ghlig ight spe pecifi ific ar areas of

  • f

pr prod

  • ductio

ion (E (EG: Top

  • p 10 and

and bo bottom 10 on

  • n COW, Top
  • p 10 an

and bo bottom 10 on

  • n mi

milk lk soli

  • lids, High

High SC SCC C cows). ). 6. 6. The he colo

  • lour cod
  • din

ing g of

  • f the

the top

  • p 10%

% and and bo bottom 10% % on

  • n imp

mportant tr trait its use usefu ful. l.

Survey results 2016 pilot

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SLIDE 21

Profile development 2017

  • Development

underway

  • Pilot phase

scheduled July

  • Farmers testing

screens and accuracy of COW rank

  • Potential to

encourage more data recording with data completeness dash bars

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SLIDE 22

Current data recording

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SLIDE 23

Conclusions

  • Complimentary to the EBI (national breeding index)
  • Added value service
  • Prospects to improve herd profitability
  • Multiple sources of data available
  • Live system
  • Maximise COW accuracy by;
  • Recording MORE data
  • Recording ACCURATE data
  • Pilot phase of on-line service July 2017
  • Commercial roll-out September pending results of pilot phase
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SLIDE 24
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SLIDE 25

Questions?