Post on 11-Aug-2020
Genetic parameters of novel mid-infrared predicted milk traits in three dual-purpose
cattle breeds
S. VANDERICK1,2, F.G. COLINET1, A. MINEUR1, R.R MOTA1,N. GENGLER1, H. HAMMAMI1
1 Gembloux Agro-B io Tech, UL iège, B-5030 Gembloux, Be lg ium
2 sy lv ie .vander ick@ul iege.be
EAAP 2018 MEETING DUBROVNIK 1
Dual-purpose cattle
EAAP 2018 MEETING DUBROVNIK 2
Dual-purpose Belgian Blue
(dpBB)
Montbéliarde(MON)
Normande(NOR)
Dual-purpose cattle
EAAP 2018 MEETING DUBROVNIK 3
Difficulty in gathering relevant large-scale data in routine
• Small sized cattle populations
• (Organic) pasture based production systems
EAAP 2018 MEETING DUBROVNIK 4
Usefulness of mid-infrared spectra (MIR)
Milk samples
(milk payment, milk recording)
Raw data = MIR spectra
Calibration equations
Quantification
wide range of novel phenotypes !
MIR analysisFOSS
Genetic parameters of 39 novel MIR predicted
milk traits
How MIR traits can predict longevity at early
stages?
Any help from genomics?
EAAP 2018 MEETING DUBROVNIK 5
Objectives
dpBB MON NOR
Cows in production 2,988 1,330 621
1st lactation test-day 21,287 10,062 4,637
2nd lactation test-day 11,771 6,716 2,532
3rd lactation test-day 6,246 4,217 1,370
Pedigree 7,744 3,807 2,304
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Data
Cheese properties: 8
Groups of fatty acids (FA): 14
Minerals: 5
Protein components: 8
Ketone bodies: 3
Methane (CH4)
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MIR predicted milk traits
single-trait multi-lactation
random regression test-day model
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dpBB MON NOR
Groups of FACheese
propertiesMinerals Proteins
Ketone bodies
CH4
Conventional Production
traits
EAAP 2018 MEETING DUBROVNIK 9
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dpBB MON NOR
Groups of FACheese
propertiesMinerals Proteins
Ketone bodies
CH4
Conventional Production
traits
EAAP 2018 MEETING DUBROVNIK 10
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Avera
ge d
aily
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dpBB MON NOR
Groups of FACheese
propertiesMinerals Proteins
Ketone bodies
CH4
Conventional Production
traits
EAAP 2018 MEETING DUBROVNIK 11
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Avera
ge d
aily
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dpBB MON NOR
Groups of FACheese
propertiesMinerals Proteins
Ketone bodies
CH4
Conventional Production
traits
EAAP 2018 MEETING DUBROVNIK 12
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Avera
ge d
aily
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dpBB MON NOR
Groups of FACheese
propertiesMinerals Proteins
Ketone bodies
CH4
Conventional Production
traits
EAAP 2018 MEETING DUBROVNIK 13
production & novel MIR traits
Prediction of longevity at early
stages ?
EAAP 2018 MEETING DUBROVNIK 14
EBV & GEBV for production &
novel MIR traits
Prediction of longevity at early
stages ?
21,287 test-day records
2,988 primiparousdpBB cows
7,744 animals in pedigree
314 genotyped animals (108 ♀ and 206 ♂ )
EAAP 2018 MEETING DUBROVNIK 15
EBV & GEBV for production &
novel MIR traits
Prediction of longevity at early
stages ?
Different scenarios without and with
genomics
Partial least squares analyses
(high correlated traits)
21,287 test-day records
2,988 primiparousdpBB cows
7,744 animals in pedigree
314 genotyped animals (108 ♀ and 206 ♂ )
Scenarios EBV (r) GEBV (r)
S1: Milk, fat & protein yields 0.25 0.19
S2: Acetone, citrates & BHB 0.22 0.37
S3: S1 +S2 0.34 0.41
S4: S1 + UFA + SCFA + MCFA 0.42 0.29
S5: S2 + UFA + SCFA + MCFA 0.37 0.42
S6: S3 + UFA + SCFA + MCFA 0.51 0.47
EAAP 2018 MEETING DUBROVNIK 16
Longevity from MIR traits?
Based on genotyped dpBB bulls with ≥ 10 daughters (N=160)
Scenarios EBV (r) GEBV (r)
S1: Milk, fat & protein yields 0.25 0.19
S2: Acetone, citrates & BHB 0.22 0.37
S3: S1 +S2 0.34 0.41
S4: S1 + UFA + SCFA + MCFA 0.42 0.29
S5: S2 + UFA + SCFA + MCFA 0.37 0.42
S6: S3 + UFA + SCFA + MCFA 0.51 0.47
EAAP 2018 MEETING DUBROVNIK 17
Longevity from MIR traits?
Based on genotyped dpBB bulls with ≥ 10 daughters (N=160)
Scenarios EBV (r) GEBV (r)
S1: Milk, fat & protein yields 0.25 0.19
S2: Acetone, citrates & BHB 0.22 0.37
S3: S1 +S2 0.34 0.41
S4: S1 + UFA + SCFA + MCFA 0.42 0.29
S5: S2 + UFA + SCFA + MCFA 0.37 0.42
S6: S3 + UFA + SCFA + MCFA 0.51 0.47
EAAP 2018 MEETING DUBROVNIK 18
Longevity from MIR traits?
Based on genotyped dpBB bulls with ≥ 10 daughters (N=160)
Scenarios EBV (r) GEBV (r)
S1: Milk, fat & protein yields 0.25 0.19
S2: Acetone, citrates & BHB 0.22 0.37
S3: S1 +S2 0.34 0.41
S4: S1 + UFA + SCFA + MCFA 0.42 0.29
S5: S2 + UFA + SCFA + MCFA 0.37 0.42
S6: S3 + UFA + SCFA + MCFA 0.51 0.47
EAAP 2018 MEETING DUBROVNIK 19
Longevity from MIR traits?
Based on genotyped dpBB bulls with ≥ 10 daughters (N=160)
Novel MIR predicted milk traits for dual-purpose cattle:
heritable selection
promising early indicators of longevity (for dpBB)
Use of genomics:
Slight increase of reliabilities (not shown)
GEBV for novel MIR traits tend to be better predictors of longevity
EAAP 2018 MEETING DUBROVNIK 20
Take home messages
MIR traits ~ useful in 3 dual-purpose cattle breeds
Acknowledgements
EAAP 2018 MEETING DUBROVNIK 21
Genetic parameters of novel mid-infrared predicted milk traits in three dual-purpose
cattle breeds
S. VANDERICK1,2, F.G. COLINET1, A. MINEUR1, R.R MOTA1,N. GENGLER1, H. HAMMAMI1
1 Gembloux Agro-B io Tech, UL iège, B-5030 Gembloux, Be lg ium
2 sy lv ie .vander ick@ul iege.be
EAAP 2018 MEETING DUBROVNIK 22
EAAP 2018 MEETING DUBROVNIK 23
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Avera
ge d
aily
h²
dpBB MON NOR
Groups of FACheese
propertiesMinerals Proteins
Ketone bodies
CH4
Conventional Production
traits
min max
Cheese properties 0.44 0.78
Groups of FA 0.77 0.99
Minerals 0.44 0.82
Proteins 0.69 0.77
Ketone bodies 0.62 0.89
CH4 0.70
EAAP 2018 MEETING DUBROVNIK 24
R² of calibration equation