SlideShare a Scribd company logo
1 of 37
S U S A N S C H O E N I A N
S H E E P & G O A T S P E C I A L I S T
U N I V E R S I T Y O F M A R Y L A N D E X T E N S I O N
S S C H O E N @ U M D . E D U
W W W . S H E E P A N D G O A T . C O M
A Beginner’s Guide to EBVs
What is an EBV?
 EBV is an acronym. It stands for
Estimated Breeding Value.
 An EBV quantifies the genetic
merit of an animal (for breeding).
 It is a mathematical, computer-
generated prediction of an animal
for economically-important traits.
 For anyone familiar with EPDs
(used in cattle), an EBV is twice the
value of an EPD, as P=progeny.
 EBVs can be calculated for any trait
for which data can be collected.
Another acronym. What is NSIP?
 NSIP stands for National Sheep
Improvement Program.
 NSIP is the organization that
provides EBVs for the US sheep
and goat industry.
 NSIP data is now processed by
Sheep Genetics in Australia (also
referred to as LAMBPLAN).
 Other animal industries and
countries have similar programs.
 Small ruminant dairy producers
should use DHIA, not NSIP.
What traits does NSIP measure?
EBVs currently available for US sheep and goats
Reproductive traits
Number of lambs born (NLB, %)
Number of lambs weaned (NLW, %)
Scrotal circumference (SC, cm)
Growth traits
Birth weight (BWT, kg)
Weaning weight (WWT, kg)
Maternal weaning weight (MWWT, kg)
Post-weaning weight (PWWT, kg)
Yearling weight (YWT, kg )
Carcass traits
Loin muscle depth (EMD, mm)
Fat depth (CF, mm)
Wool traits
Fleece weight (GFW, %)
Fiber diameter (FD, μ)
Staple length (SL, mm)
Parasite resistance
Worm egg count (WEC, %)
Indexes
Carcass Plus index, %
USA Hair Index, %
USA Maternal Index, %
USA Range Index, %
Understanding the numbers
Source: Ram Buyer’s Guide, NSIP, 2016
Understanding the numbers
Understanding the numbers
1. Flock EBVs 2. (Across-flock) EBVs
 Within-flock EBVs are
calculated when a flock is
not connected to other
NSIP flocks.
 EBVs on individual
animals can only be
compared to animals in
the same flock.
 Flock has genetic linkages
with other NSIP flocks.
 EBVs from individual
animals can be compared
to EBVs from individuals
in other flocks, regardless
of geographic location or
production system.
There are two kinds of EBVs.
T H E S E C H A R A C T E R I S T I C S A R E T H E A N I M A L ’ S
P H E N O T Y P E . T H E Y I N C L U D E T R A I T S W H I C H
W E C A N M E A S U R E O R O B S E R V E .
All animals have a set of
characteristics that represent
their value to a producer.
Number born
Birth weight
Weaning weight
Fiber diameter
Loin depth
Fecal egg count
Frame size
. . . and many more.
Phenotype is the result of the animal’s
genetics (genotype), as well as the
environment in which it was/is raised.
Phenotype
Environment
Most (75-90%) of the differences we see
between animals are the result of
environment, management, and/or chance.
The remaining differences are the
result of genetics.
This may seem small, but
genetics is permanent and
compounding .
EBVs help identify the portion of
differences that are due to
genetics.
EBVs are more accurate than on-
farm and centralized testing.
How are EBVs are calculated?
 EBVs are calculated by
accounting for known
sources of variation for
each (phenotypic) trait.
 Environment
 Genetics
 Heritability
 Genetic relationships
 Genetic correlations
Production environment Fixed effects
 Pen
 Pasture
 Diet
 Health
 Management
 Adjustment factors are used
to correct for fixed effects of
differences in environment.
 Adjustment factors
standardize traits (e.g.
weights) to a common birth
and rearing type.
 Type of birth (single)
 Type of rearing (single)
 Age of dam (3-6 years)
Environment is a large source of variation.
The effect of genetics on a trait varies.
 The variation in the
proportion of genetics on
a certain trait is called
heritability (h2).
 Reproductive
Low (5-20%)
 Growth
Moderate (10-50%)
 Carcass
Moderate (10-45%)
 Wool
Moderate to high (25-55%)
 Lactation
Moderate (15-35%)
 Parasite resistance
Moderate to high (25-50%)
Number of lambs born is only ~10% heritable.
EBVs account for relationships between animals.
 Offspring inherit roughly
50% of their genes from
their sire and 50% of their
genes from their dam.
 Half-sibs share about 25%
of their genes.
 First cousins share
approximately 12.5% of
their genes.
 Even distantly-related
animals share some genes.
EBVs account for genetic correlations.
 Most performance traits are not
controlled by a single gene, but
rather have multiple genes that
control the genetic portion of
trait expression.
 Positive correlations mean that
increases in one trait will result
in increases in another trait.
 For example: birth weight (BWT)
and weaning weight (WWT) have
a genetic correlation of 0.3.
 On the other hand, some traits
have negative genetic correlations,
such as staple length (SL) and
fiber diameter (FD).
EBVs are calculated from…
1. Data for trait measured.
E.g. weaning weight
2. Data from correlated
traits.
birth weight, post-weaning weight
3. Date from relatives.
sire, dam, siblings, cousins, distant relatives
4. Factoring in heritability.
10-50%
 EBVs are comparisons to
the flock or NSIP breed
average.
Strength of EBVs is highly
dependent on three concepts.
CONTEMPORARY GROUPS
GENETIC CONNECTIONS
ACCURACY
What is a contemporary group?
 A group of lambs or kids that
are born within 45 days of
each other and have been
managed the same way.
 Same feed
 Same pasture
 Same health protocol
 Good contemporary groups
have at least two sires and
enough offspring (usually at
least 20) from each sire.
A “management” group.
These aren’t contemporary groups.
 Different breeds.
 Offspring born in different seasons
or more than 45 days apart.
 Offspring whose dams were
separated for preferential feeding
or grazing.
 Creep-fed vs. non creep-fed
animals.
 Offspring raised in different
locations.
 Fostered lambs and kids.
 Offspring removed for artificial
rearing.
Importance of genetic linkages
 When animals share some
percentage of the same
genetics.
 Genetic linkages provide a
means to compare the
performance of animals in
different flocks.
 Genetic linkages are best
accomplished by using the
same male in two or more
participating flocks/herds.
I’m coming
to your
farm next.
What are EBV accuracy values?
 A measure of confidence in an
animal’s EBV.
 How representative is the EBV of
the animal’s true breeding value?
 Accuracy values range from 0 to
100.
 The higher the accuracy value is,
the more confident we can be in
the EBV.
 Accuracy values are affected by…
 The amount of performance data that is
available on the animal and its parents.
 The heritability of the trait.
 The size of the group in which the
animal was compared.
Who should enroll in NSIP?
 Purebred producers who want to
improve the accuracy of their selection.
 Producers whose flocks are large
enough to use multiple sires and have
enough animals to create meaningful
contemporary groups.
 Producers who can provide pedigree
data (single sire matings) on progeny.
 Producers who are willing to measure,
record, and submit the required data.
 Producers who have or are willing to
create genetic linkages with other
breeders.
NSIP IS SCIENCE-BASED, INDUSTRY-TESTED.
Breeds most active in NSIP
Each breed has a coordinator (maybe 2).
 Dorset (9)
 Hampshire (12)
 Katahdin (~50)
 Polypay (~30)
 Shropshire (8)
 Suffolk (~30)
 Targhee (~26)
 Other breeds have fewer than 3
flocks enrolled.
 Only five meat goat herds are
currently enrolled in NSIP.
Source: NSIP, Feb. 10, 2016
Can producers with small flocks enroll in NSIP?
 Anyone can enroll their flock
and herd in NSIP.
 Small flocks should purchase or
lease rams with EBVs.
 Small flocks still need to use
two sires for breeding.
 Rate of genetic progress will be
slower with small flocks.
 Flock EBVs instead of (across-
flock) EBVs, if no connections
to other NSIP flocks.
15 ewes
SIRE A
15 ewes
SIRE B
25 lambs
SIRE A
25 lambs
SIRE B
30 ewes of same breed
• E B V s a r e e q u a l l y b e n e f i c i a l
t o s h e e p a n d g o a t p r o d u c e r s .
• W h i l e N S I P u s e s s h e e p
t e r m i n o l o g y ( e w e , r a m , a n d
l a m b ) , i t c o u l d c h a n g e i f
m o r e g o a t p r o d u c e r s w e r e
e n r o l l e d i n N S I P .
• S h e e p G e n e t i c s A u s t r a l i a a l s o
h a s a K I D P L A N .
• D r . K e n A n d r i e s f r o m
K e n t u c k y S t a t e U n i v e r s i t y i s
N S I P c o o r d i n a t o r f o r g o a t s .
I’m a goat producer. Why
should I enroll in the National
Sheep Improvement Program?
Purebred producer Commercial producer
 Enroll your flock in NSIP and
use EBVs to improve your
accuracy of selection for
economically important traits.
 Purchase breeding stock,
especially rams, with above
average EBVs or indexes
(enrolled and non-enrolled
flocks; small flocks).
 Establish values for your
breeding stock.
 Purchase males with
above-average EBVs or
indexes.
 Direct from breeder
 NSIP sales
How can I use EBVs in my flock?
Balanced selection Single trait selection
 Most common (recommended)
practice.
 Choose animals that are
above-average in all traits.
“Breed the best to the best.”
 Can use indexes to help make
selection decisions.
 Terminal sire (e.g. Suffolk)
 Maternal (wool, e.g. Polypay)
 Maternal (hair, e.g. Katahdin)
 Maternal (range, e.g. Targhee)
 Custom
 Focus on small number of
traits.
 Correct problem in flock
 Create elite flock for specific
trait(s).
 Riskier goal
 Need to be beware of
unintended consequences
(problems) that can results with
single or narrow trait selection.
How can I use EBVs to select better animals?
Match production system and goals to EBVs.
 If you sell 60-lb. lambs, it’s better to
select for maternal weaning weights
than for post-weaning weights.
 Organic or pasture-based operations
may want to select for parasite
resistance (fecal egg counts).
 The emphasis in terminal sire breeds
(e.g. Suffolk) should be on growth
and carcass traits, whereas maternal
breeds (e.g. Katahdin, Polypay)
should emphasize reproductive traits
and maternal weaning weights.
 Prolific flocks may want to select for
maternal weaning weights to reduce
number of orphan lambs.
Required Optional
 Date of birth
 Birth type
 Rear type
 Sire and dam info
 Contemporary (or
(management) groups
 Birth weight
(within 24 hours)
 Weaning weight
(avg. 60 days, 45-90 days)
 Post weaning weight
(90-150 days)
 Fleece traits
 Fecal egg counts
(weaning, 120 days of age)
 Scrotal circumference
(150-240 days)
 Ultrasound scan data
What do I need to measure and record?
How do I enroll my flock or herd in NSIP?
 Go to NSIP.org
 Print and fill out the enrollment
form.
 Send with check to NSIP.
 Enrollment fees are waived for
first year members and for three
years for members younger than
22 (as of 1/1/16).
 However, there is a $100 data
fee deposit (is refunded after
data is submitted).
 Start collecting and entering
data.
Annual enrollment Data fee
 Based on size of flock
 $100
 $2.50 x ewe/doe
 $25 for additional breed
• Capped at $400
- $25 early bird credit
 Based on number of
lambs (or kids) with post
birth measurement.
 $2.85 per animal,
excluding animals
designated as culls or
commercials.
 Covers lifetime of animal.
How much do EBVs cost?
Flock with 40 ewes or does
$100 + (40 x $2.50) = $200
Will EBVs make me money?
 The primary purpose of EBVs is
to make genetic improvements
in your own flock or herd (i.e. to
increase profitability).
 There is an increasing
demand for sheep with EBVs.
 SW Virginia Ram Test
 Center of the Nation
NSIP Sale (Iowa)
 Montana Ram Sale
 NSIP sale in East [?]
 Goats (eventually ?)Ram with an EBV of +5.0 for NLW
Daughters will produce 0.05 more lambs
That’s 5 more lambs per 100 lambings
5 extra lambs x $150/lamb = $750
Ram with EBV of +5.0 for WWT
Progeny will be 2.5 kg (5.5 lbs) heavier at
weaning than average
5.5 lbs x $2/lb = $11/lamb
50 lambs x $11 = $550
100 lambs x $11 = $1100
Tips for making NSIP/EBVs work for you.
 Collect the right data at the
right time
 Plan breeding groups to
test genetics.
 Maintain good
contemporary groups.
 Cooperate with other NSIP
breeders.
 Communicate with
commercial producers.
 Be honest
 Be patient and trust the
data.
CAN CAN’T
 Select ewe and doe replacements for
economically-important traits.
 Make purchasing decisions.
 Make culling decisions.
 Select flock sire(s)
 Increase the accuracy of selection for
superior performance.
 Set value of breeding stock.
 Increase profitability of enterprise.
 Improve productivity of breed.
 Tell if an animal is structurally
connect.
 Tell if an animal has good
conformation.
 Tell if an animal has good breed
character.
 Tell if an animal has a genetic
defect (e.g. bad bite).
 Replace visual appraisal.
 Force you to make the right
breeding decisions.
What EBVs can and can’t do
MAYBE, MAYBE NOT
EBVs identify poor
performing animals .
Animals without EBVs
could be genetically
superior (or inferior), but
there is no way of knowing.
Are animals with EBVs better
than animals without EBVs?
“If you don’t measure it,
you can’t manage it.”
N A T I O N A L S H E E P I M P R O V E M E N T P R O G R A M
h t t p : / / n s i p . o r g
K A T A H D I N N A T I O N A L S H E E P I M P R O V E M E N T P R O G R A M
h t t p : / / w w w . k a t n s i p . c o m /
R A M B U Y I N G G U I D E ( n e w p u b l i c a t i o n )
h t t p : / / n s i p . o r g / w p - c o n t e n t / u p l o a d s / 2 0 1 5 / 0 1 /
N S I P - R a m - B u y i n g - G u i d e - F I N A L - 1 2 - 2 1 - 1 5 . p d f
S H E E P G E N E T I C S A U S T R A L I A
h t t p : / / w w w . s h e e p g e n e t i c s . o r g . a u / H o m e
There is lots of information
about EBVs (and NSIP) online.

More Related Content

What's hot

Genetics of animal breeding 9
Genetics of animal breeding 9Genetics of animal breeding 9
Genetics of animal breeding 9zerdon
 
Open Nucleus Breeding System (ONBS)
Open Nucleus Breeding System (ONBS)Open Nucleus Breeding System (ONBS)
Open Nucleus Breeding System (ONBS)Md Sadakatul Bari
 
Mating System and Livestock Breeding Policy
Mating System and Livestock Breeding Policy Mating System and Livestock Breeding Policy
Mating System and Livestock Breeding Policy Dr. Jayesh Vyas
 
Major economic traits of cattle and buffalo
Major economic traits of cattle and buffaloMajor economic traits of cattle and buffalo
Major economic traits of cattle and buffalopratee5
 
Breeding a dairy cow
Breeding a dairy cowBreeding a dairy cow
Breeding a dairy cowILRI
 
Selection for Combining ability
Selection for Combining abilitySelection for Combining ability
Selection for Combining abilitySyedShaanz
 
Traits of economic Importance of Cattle in Nepal
Traits of economic Importance of Cattle in NepalTraits of economic Importance of Cattle in Nepal
Traits of economic Importance of Cattle in NepalDr. Ramchandra Acharya
 
Animal breeding course
Animal breeding courseAnimal breeding course
Animal breeding coursedaacadprinting
 
Lecture 3: Bull Management
Lecture 3: Bull  Management Lecture 3: Bull  Management
Lecture 3: Bull Management Rabie Fayed
 
Bases of selection family
Bases of selection  familyBases of selection  family
Bases of selection familySyedShaanz
 
Methods of selection
Methods of selectionMethods of selection
Methods of selectionSyedShaanz
 
Progeny testing
Progeny testingProgeny testing
Progeny testingSyedShaanz
 

What's hot (20)

Progeny testing
Progeny testing Progeny testing
Progeny testing
 
Repeatability
RepeatabilityRepeatability
Repeatability
 
Genetics of animal breeding 9
Genetics of animal breeding 9Genetics of animal breeding 9
Genetics of animal breeding 9
 
Open Nucleus Breeding System (ONBS)
Open Nucleus Breeding System (ONBS)Open Nucleus Breeding System (ONBS)
Open Nucleus Breeding System (ONBS)
 
Sire evaluation
Sire evaluationSire evaluation
Sire evaluation
 
Animal breeding and selection
Animal breeding and selectionAnimal breeding and selection
Animal breeding and selection
 
Mating System and Livestock Breeding Policy
Mating System and Livestock Breeding Policy Mating System and Livestock Breeding Policy
Mating System and Livestock Breeding Policy
 
Major economic traits of cattle and buffalo
Major economic traits of cattle and buffaloMajor economic traits of cattle and buffalo
Major economic traits of cattle and buffalo
 
Breeding a dairy cow
Breeding a dairy cowBreeding a dairy cow
Breeding a dairy cow
 
Genetic Parameter.pptx
Genetic Parameter.pptxGenetic Parameter.pptx
Genetic Parameter.pptx
 
Selection for Combining ability
Selection for Combining abilitySelection for Combining ability
Selection for Combining ability
 
Traits of economic Importance of Cattle in Nepal
Traits of economic Importance of Cattle in NepalTraits of economic Importance of Cattle in Nepal
Traits of economic Importance of Cattle in Nepal
 
Correlations
CorrelationsCorrelations
Correlations
 
Animal breeding course
Animal breeding courseAnimal breeding course
Animal breeding course
 
Lecture 3: Bull Management
Lecture 3: Bull  Management Lecture 3: Bull  Management
Lecture 3: Bull Management
 
Breeding better sheep
Breeding better sheepBreeding better sheep
Breeding better sheep
 
Bases of selection family
Bases of selection  familyBases of selection  family
Bases of selection family
 
Methods of selection
Methods of selectionMethods of selection
Methods of selection
 
UNIT-9-breeding strategy.pdf
UNIT-9-breeding strategy.pdfUNIT-9-breeding strategy.pdf
UNIT-9-breeding strategy.pdf
 
Progeny testing
Progeny testingProgeny testing
Progeny testing
 

Viewers also liked

Viewers also liked (20)

Raising your own replacements
Raising your own replacementsRaising your own replacements
Raising your own replacements
 
MaintainingHoofHealth
MaintainingHoofHealthMaintainingHoofHealth
MaintainingHoofHealth
 
10 Things You Should Know About Parasites
10 Things You Should Know About Parasites10 Things You Should Know About Parasites
10 Things You Should Know About Parasites
 
Natural parasite control in small ruminants
Natural parasite control in small ruminantsNatural parasite control in small ruminants
Natural parasite control in small ruminants
 
Conformation 101
Conformation 101Conformation 101
Conformation 101
 
Sheep and goats as alternative enterprises
Sheep and goats as alternative enterprisesSheep and goats as alternative enterprises
Sheep and goats as alternative enterprises
 
ManagingInternalParasitism
ManagingInternalParasitismManagingInternalParasitism
ManagingInternalParasitism
 
Tips for Improving Lambing/Kidding Percentage
Tips for Improving Lambing/Kidding PercentageTips for Improving Lambing/Kidding Percentage
Tips for Improving Lambing/Kidding Percentage
 
The value of EBVs for the US meat goat industry
The value of EBVs for the US meat goat industryThe value of EBVs for the US meat goat industry
The value of EBVs for the US meat goat industry
 
Determining Anthelmintic Resistance on Sheep Farms in the Southeastern US
Determining Anthelmintic Resistance on Sheep Farms in the Southeastern USDetermining Anthelmintic Resistance on Sheep Farms in the Southeastern US
Determining Anthelmintic Resistance on Sheep Farms in the Southeastern US
 
Management tools for flock and herd improvement
Management tools for flock and herd improvementManagement tools for flock and herd improvement
Management tools for flock and herd improvement
 
Current recommendations for internal parasite control in small ruminants
Current recommendations for internal parasite control in small ruminantsCurrent recommendations for internal parasite control in small ruminants
Current recommendations for internal parasite control in small ruminants
 
An overview of sheep and goats
An overview of sheep and goatsAn overview of sheep and goats
An overview of sheep and goats
 
Replacement ewe selection and culling underperforming ewes
Replacement ewe selection and culling underperforming ewesReplacement ewe selection and culling underperforming ewes
Replacement ewe selection and culling underperforming ewes
 
PastureHealthProblemsV
PastureHealthProblemsVPastureHealthProblemsV
PastureHealthProblemsV
 
Getting Ready for Lambing & Kidding 2015
Getting Ready for Lambing & Kidding 2015Getting Ready for Lambing & Kidding 2015
Getting Ready for Lambing & Kidding 2015
 
TheBigFiveTopics
TheBigFiveTopicsTheBigFiveTopics
TheBigFiveTopics
 
Determining Anthelmintic Resistance on Sheep Farms in the Southeastern US
Determining Anthelmintic Resistance on Sheep Farms in the Southeastern USDetermining Anthelmintic Resistance on Sheep Farms in the Southeastern US
Determining Anthelmintic Resistance on Sheep Farms in the Southeastern US
 
Can you make money with a small flock (or herd)?
Can you make money with a small flock (or herd)?Can you make money with a small flock (or herd)?
Can you make money with a small flock (or herd)?
 
MineralVitaminNutrition
MineralVitaminNutritionMineralVitaminNutrition
MineralVitaminNutrition
 

Similar to A beginner’s guide to EBVs

Genomic Selection in dairy cattle breeding -An overview
Genomic Selection in dairy cattle breeding -An overviewGenomic Selection in dairy cattle breeding -An overview
Genomic Selection in dairy cattle breeding -An overviewSuperior Animal Genetics (SAG)
 
Ai manual chapter 11
Ai manual chapter 11Ai manual chapter 11
Ai manual chapter 11Abs Pecplan
 
Final_Rouse 2013 Bull sale Poster_040413
Final_Rouse 2013 Bull sale Poster_040413Final_Rouse 2013 Bull sale Poster_040413
Final_Rouse 2013 Bull sale Poster_040413Amanda Fritts
 
Ai manual chapter 12
Ai manual chapter 12Ai manual chapter 12
Ai manual chapter 12Abs Pecplan
 
Dr. James Kober - Swine Disease Diagnostics and Economics Considerations
Dr. James Kober - Swine Disease Diagnostics and Economics ConsiderationsDr. James Kober - Swine Disease Diagnostics and Economics Considerations
Dr. James Kober - Swine Disease Diagnostics and Economics ConsiderationsJohn Blue
 
Dr. Jeff Zimmerman - Things your epidemiologist never told your about surveil...
Dr. Jeff Zimmerman - Things your epidemiologist never told your about surveil...Dr. Jeff Zimmerman - Things your epidemiologist never told your about surveil...
Dr. Jeff Zimmerman - Things your epidemiologist never told your about surveil...John Blue
 
General Genetics: Gene Segregation and Integration (Part 3)
General Genetics: Gene Segregation and Integration (Part 3)General Genetics: Gene Segregation and Integration (Part 3)
General Genetics: Gene Segregation and Integration (Part 3)Shaina Mavreen Villaroza
 
FAO Bee Survey Design Talk
FAO Bee Survey Design TalkFAO Bee Survey Design Talk
FAO Bee Survey Design TalkSam Droege
 
Clinical Decision Making with Machine Learning
Clinical Decision Making with Machine LearningClinical Decision Making with Machine Learning
Clinical Decision Making with Machine LearningSri Ambati
 
Dr. Daniel Linhares - PRRS Field Applicable Research Update
Dr. Daniel Linhares - PRRS Field Applicable Research UpdateDr. Daniel Linhares - PRRS Field Applicable Research Update
Dr. Daniel Linhares - PRRS Field Applicable Research UpdateJohn Blue
 
Dr. Dan Givens - Bovine Viral Diarrhoea (BVD) Diagnostics - Goals, Strategies...
Dr. Dan Givens - Bovine Viral Diarrhoea (BVD) Diagnostics - Goals, Strategies...Dr. Dan Givens - Bovine Viral Diarrhoea (BVD) Diagnostics - Goals, Strategies...
Dr. Dan Givens - Bovine Viral Diarrhoea (BVD) Diagnostics - Goals, Strategies...John Blue
 
Using DNA on your farm to select more profitable cattle
Using DNA on your farm to select more profitable cattleUsing DNA on your farm to select more profitable cattle
Using DNA on your farm to select more profitable cattleJared Decker
 
Genetic basis and improvement of reproductive traits
Genetic basis and improvement of reproductive traitsGenetic basis and improvement of reproductive traits
Genetic basis and improvement of reproductive traitsILRI
 
Resemblance between relatives
Resemblance between relativesResemblance between relatives
Resemblance between relativesSyedShaanz
 
Lecture 6 candidate gene association full
Lecture 6 candidate gene association fullLecture 6 candidate gene association full
Lecture 6 candidate gene association fullLekki Frazier-Wood
 
Outbreeding
OutbreedingOutbreeding
OutbreedingJheiiyn
 

Similar to A beginner’s guide to EBVs (20)

Ancestry composition 23and me
Ancestry composition   23and meAncestry composition   23and me
Ancestry composition 23and me
 
Genomic Selection in dairy cattle breeding -An overview
Genomic Selection in dairy cattle breeding -An overviewGenomic Selection in dairy cattle breeding -An overview
Genomic Selection in dairy cattle breeding -An overview
 
Ai manual chapter 11
Ai manual chapter 11Ai manual chapter 11
Ai manual chapter 11
 
Fine-tuning breeding animal selection for your farm: females
Fine-tuning breeding animal selection for your farm: femalesFine-tuning breeding animal selection for your farm: females
Fine-tuning breeding animal selection for your farm: females
 
How the goat industry can benefit from NSIP
How the goat industry can benefit from NSIPHow the goat industry can benefit from NSIP
How the goat industry can benefit from NSIP
 
Final_Rouse 2013 Bull sale Poster_040413
Final_Rouse 2013 Bull sale Poster_040413Final_Rouse 2013 Bull sale Poster_040413
Final_Rouse 2013 Bull sale Poster_040413
 
Ai manual chapter 12
Ai manual chapter 12Ai manual chapter 12
Ai manual chapter 12
 
Dr. James Kober - Swine Disease Diagnostics and Economics Considerations
Dr. James Kober - Swine Disease Diagnostics and Economics ConsiderationsDr. James Kober - Swine Disease Diagnostics and Economics Considerations
Dr. James Kober - Swine Disease Diagnostics and Economics Considerations
 
Dr. Jeff Zimmerman - Things your epidemiologist never told your about surveil...
Dr. Jeff Zimmerman - Things your epidemiologist never told your about surveil...Dr. Jeff Zimmerman - Things your epidemiologist never told your about surveil...
Dr. Jeff Zimmerman - Things your epidemiologist never told your about surveil...
 
General Genetics: Gene Segregation and Integration (Part 3)
General Genetics: Gene Segregation and Integration (Part 3)General Genetics: Gene Segregation and Integration (Part 3)
General Genetics: Gene Segregation and Integration (Part 3)
 
FAO Bee Survey Design Talk
FAO Bee Survey Design TalkFAO Bee Survey Design Talk
FAO Bee Survey Design Talk
 
Clinical Decision Making with Machine Learning
Clinical Decision Making with Machine LearningClinical Decision Making with Machine Learning
Clinical Decision Making with Machine Learning
 
Dr. Daniel Linhares - PRRS Field Applicable Research Update
Dr. Daniel Linhares - PRRS Field Applicable Research UpdateDr. Daniel Linhares - PRRS Field Applicable Research Update
Dr. Daniel Linhares - PRRS Field Applicable Research Update
 
Crossbreeding with Katahdins
Crossbreeding with KatahdinsCrossbreeding with Katahdins
Crossbreeding with Katahdins
 
Dr. Dan Givens - Bovine Viral Diarrhoea (BVD) Diagnostics - Goals, Strategies...
Dr. Dan Givens - Bovine Viral Diarrhoea (BVD) Diagnostics - Goals, Strategies...Dr. Dan Givens - Bovine Viral Diarrhoea (BVD) Diagnostics - Goals, Strategies...
Dr. Dan Givens - Bovine Viral Diarrhoea (BVD) Diagnostics - Goals, Strategies...
 
Using DNA on your farm to select more profitable cattle
Using DNA on your farm to select more profitable cattleUsing DNA on your farm to select more profitable cattle
Using DNA on your farm to select more profitable cattle
 
Genetic basis and improvement of reproductive traits
Genetic basis and improvement of reproductive traitsGenetic basis and improvement of reproductive traits
Genetic basis and improvement of reproductive traits
 
Resemblance between relatives
Resemblance between relativesResemblance between relatives
Resemblance between relatives
 
Lecture 6 candidate gene association full
Lecture 6 candidate gene association fullLecture 6 candidate gene association full
Lecture 6 candidate gene association full
 
Outbreeding
OutbreedingOutbreeding
Outbreeding
 

More from University of Maryland Extension Small Ruminant Program

More from University of Maryland Extension Small Ruminant Program (20)

Making a profit with small ruminants (sheep/goats)
Making a profit with small ruminants (sheep/goats)Making a profit with small ruminants (sheep/goats)
Making a profit with small ruminants (sheep/goats)
 
Health Care of Pregnant ewes
Health Care of Pregnant ewesHealth Care of Pregnant ewes
Health Care of Pregnant ewes
 
Hoof Care of Sheep/Goats
Hoof Care of Sheep/GoatsHoof Care of Sheep/Goats
Hoof Care of Sheep/Goats
 
Proper deworming methods
Proper deworming methodsProper deworming methods
Proper deworming methods
 
Show me the signs
Show me the signsShow me the signs
Show me the signs
 
Copper: its complicated
Copper: its complicatedCopper: its complicated
Copper: its complicated
 
Pregnancy Toxemia in sheep
Pregnancy Toxemia in sheepPregnancy Toxemia in sheep
Pregnancy Toxemia in sheep
 
Goat Hoof Health
Goat Hoof HealthGoat Hoof Health
Goat Hoof Health
 
MinimizingDrugUse
MinimizingDrugUseMinimizingDrugUse
MinimizingDrugUse
 
Beyond antibiotics: minimizing drug use in small ruminants
Beyond antibiotics: minimizing drug use in small ruminantsBeyond antibiotics: minimizing drug use in small ruminants
Beyond antibiotics: minimizing drug use in small ruminants
 
Goats 101
Goats 101Goats 101
Goats 101
 
Marketing them
Marketing themMarketing them
Marketing them
 
Keeping them healthy
Keeping them healthyKeeping them healthy
Keeping them healthy
 
Feeding them
Feeding themFeeding them
Feeding them
 
Raising them
Raising themRaising them
Raising them
 
Sheep 101
Sheep 101Sheep 101
Sheep 101
 
Management of Internal Parasites in Small Ruminants
Management of  Internal Parasites in Small RuminantsManagement of  Internal Parasites in Small Ruminants
Management of Internal Parasites in Small Ruminants
 
FAMACHA For the Control of Barber Pole Worm (Haemonchus contortus) in Small R...
FAMACHA For the Control of Barber Pole Worm (Haemonchus contortus) in Small R...FAMACHA For the Control of Barber Pole Worm (Haemonchus contortus) in Small R...
FAMACHA For the Control of Barber Pole Worm (Haemonchus contortus) in Small R...
 
Dewormers and Dewormer Resistance: Introduction to Eye Scores
Dewormers and Dewormer Resistance: Introduction to Eye ScoresDewormers and Dewormer Resistance: Introduction to Eye Scores
Dewormers and Dewormer Resistance: Introduction to Eye Scores
 
FAMACHA eye anemia system
FAMACHA eye anemia systemFAMACHA eye anemia system
FAMACHA eye anemia system
 

Recently uploaded

Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactPECB
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsMebane Rash
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdfQucHHunhnh
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingTechSoup
 
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-II
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-IIFood Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-II
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-IIShubhangi Sonawane
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxVishalSingh1417
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeThiyagu K
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.pptRamjanShidvankar
 
ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701bronxfugly43
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDThiyagu K
 
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17  How to Extend Models Using Mixin ClassesMixin Classes in Odoo 17  How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin ClassesCeline George
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxAreebaZafar22
 
Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docxPython Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docxRamakrishna Reddy Bijjam
 
Unit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxUnit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxVishalSingh1417
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfagholdier
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...christianmathematics
 
psychiatric nursing HISTORY COLLECTION .docx
psychiatric  nursing HISTORY  COLLECTION  .docxpsychiatric  nursing HISTORY  COLLECTION  .docx
psychiatric nursing HISTORY COLLECTION .docxPoojaSen20
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdfQucHHunhnh
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Celine George
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhikauryashika82
 

Recently uploaded (20)

Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan Fellows
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-II
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-IIFood Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-II
Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-II
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptx
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.ppt
 
ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
 
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17  How to Extend Models Using Mixin ClassesMixin Classes in Odoo 17  How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 
Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docxPython Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docx
 
Unit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxUnit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptx
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
 
psychiatric nursing HISTORY COLLECTION .docx
psychiatric  nursing HISTORY  COLLECTION  .docxpsychiatric  nursing HISTORY  COLLECTION  .docx
psychiatric nursing HISTORY COLLECTION .docx
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
 

A beginner’s guide to EBVs

  • 1. S U S A N S C H O E N I A N S H E E P & G O A T S P E C I A L I S T U N I V E R S I T Y O F M A R Y L A N D E X T E N S I O N S S C H O E N @ U M D . E D U W W W . S H E E P A N D G O A T . C O M A Beginner’s Guide to EBVs
  • 2. What is an EBV?  EBV is an acronym. It stands for Estimated Breeding Value.  An EBV quantifies the genetic merit of an animal (for breeding).  It is a mathematical, computer- generated prediction of an animal for economically-important traits.  For anyone familiar with EPDs (used in cattle), an EBV is twice the value of an EPD, as P=progeny.  EBVs can be calculated for any trait for which data can be collected.
  • 3. Another acronym. What is NSIP?  NSIP stands for National Sheep Improvement Program.  NSIP is the organization that provides EBVs for the US sheep and goat industry.  NSIP data is now processed by Sheep Genetics in Australia (also referred to as LAMBPLAN).  Other animal industries and countries have similar programs.  Small ruminant dairy producers should use DHIA, not NSIP.
  • 4. What traits does NSIP measure? EBVs currently available for US sheep and goats Reproductive traits Number of lambs born (NLB, %) Number of lambs weaned (NLW, %) Scrotal circumference (SC, cm) Growth traits Birth weight (BWT, kg) Weaning weight (WWT, kg) Maternal weaning weight (MWWT, kg) Post-weaning weight (PWWT, kg) Yearling weight (YWT, kg ) Carcass traits Loin muscle depth (EMD, mm) Fat depth (CF, mm) Wool traits Fleece weight (GFW, %) Fiber diameter (FD, μ) Staple length (SL, mm) Parasite resistance Worm egg count (WEC, %) Indexes Carcass Plus index, % USA Hair Index, % USA Maternal Index, % USA Range Index, %
  • 5. Understanding the numbers Source: Ram Buyer’s Guide, NSIP, 2016
  • 8. 1. Flock EBVs 2. (Across-flock) EBVs  Within-flock EBVs are calculated when a flock is not connected to other NSIP flocks.  EBVs on individual animals can only be compared to animals in the same flock.  Flock has genetic linkages with other NSIP flocks.  EBVs from individual animals can be compared to EBVs from individuals in other flocks, regardless of geographic location or production system. There are two kinds of EBVs.
  • 9. T H E S E C H A R A C T E R I S T I C S A R E T H E A N I M A L ’ S P H E N O T Y P E . T H E Y I N C L U D E T R A I T S W H I C H W E C A N M E A S U R E O R O B S E R V E . All animals have a set of characteristics that represent their value to a producer. Number born Birth weight Weaning weight Fiber diameter Loin depth Fecal egg count Frame size . . . and many more.
  • 10. Phenotype is the result of the animal’s genetics (genotype), as well as the environment in which it was/is raised. Phenotype Environment
  • 11. Most (75-90%) of the differences we see between animals are the result of environment, management, and/or chance. The remaining differences are the result of genetics. This may seem small, but genetics is permanent and compounding . EBVs help identify the portion of differences that are due to genetics. EBVs are more accurate than on- farm and centralized testing.
  • 12. How are EBVs are calculated?  EBVs are calculated by accounting for known sources of variation for each (phenotypic) trait.  Environment  Genetics  Heritability  Genetic relationships  Genetic correlations
  • 13. Production environment Fixed effects  Pen  Pasture  Diet  Health  Management  Adjustment factors are used to correct for fixed effects of differences in environment.  Adjustment factors standardize traits (e.g. weights) to a common birth and rearing type.  Type of birth (single)  Type of rearing (single)  Age of dam (3-6 years) Environment is a large source of variation.
  • 14. The effect of genetics on a trait varies.  The variation in the proportion of genetics on a certain trait is called heritability (h2).  Reproductive Low (5-20%)  Growth Moderate (10-50%)  Carcass Moderate (10-45%)  Wool Moderate to high (25-55%)  Lactation Moderate (15-35%)  Parasite resistance Moderate to high (25-50%) Number of lambs born is only ~10% heritable.
  • 15. EBVs account for relationships between animals.  Offspring inherit roughly 50% of their genes from their sire and 50% of their genes from their dam.  Half-sibs share about 25% of their genes.  First cousins share approximately 12.5% of their genes.  Even distantly-related animals share some genes.
  • 16. EBVs account for genetic correlations.  Most performance traits are not controlled by a single gene, but rather have multiple genes that control the genetic portion of trait expression.  Positive correlations mean that increases in one trait will result in increases in another trait.  For example: birth weight (BWT) and weaning weight (WWT) have a genetic correlation of 0.3.  On the other hand, some traits have negative genetic correlations, such as staple length (SL) and fiber diameter (FD).
  • 17. EBVs are calculated from… 1. Data for trait measured. E.g. weaning weight 2. Data from correlated traits. birth weight, post-weaning weight 3. Date from relatives. sire, dam, siblings, cousins, distant relatives 4. Factoring in heritability. 10-50%  EBVs are comparisons to the flock or NSIP breed average.
  • 18. Strength of EBVs is highly dependent on three concepts. CONTEMPORARY GROUPS GENETIC CONNECTIONS ACCURACY
  • 19. What is a contemporary group?  A group of lambs or kids that are born within 45 days of each other and have been managed the same way.  Same feed  Same pasture  Same health protocol  Good contemporary groups have at least two sires and enough offspring (usually at least 20) from each sire. A “management” group.
  • 20. These aren’t contemporary groups.  Different breeds.  Offspring born in different seasons or more than 45 days apart.  Offspring whose dams were separated for preferential feeding or grazing.  Creep-fed vs. non creep-fed animals.  Offspring raised in different locations.  Fostered lambs and kids.  Offspring removed for artificial rearing.
  • 21. Importance of genetic linkages  When animals share some percentage of the same genetics.  Genetic linkages provide a means to compare the performance of animals in different flocks.  Genetic linkages are best accomplished by using the same male in two or more participating flocks/herds. I’m coming to your farm next.
  • 22. What are EBV accuracy values?  A measure of confidence in an animal’s EBV.  How representative is the EBV of the animal’s true breeding value?  Accuracy values range from 0 to 100.  The higher the accuracy value is, the more confident we can be in the EBV.  Accuracy values are affected by…  The amount of performance data that is available on the animal and its parents.  The heritability of the trait.  The size of the group in which the animal was compared.
  • 23. Who should enroll in NSIP?  Purebred producers who want to improve the accuracy of their selection.  Producers whose flocks are large enough to use multiple sires and have enough animals to create meaningful contemporary groups.  Producers who can provide pedigree data (single sire matings) on progeny.  Producers who are willing to measure, record, and submit the required data.  Producers who have or are willing to create genetic linkages with other breeders. NSIP IS SCIENCE-BASED, INDUSTRY-TESTED.
  • 24. Breeds most active in NSIP Each breed has a coordinator (maybe 2).  Dorset (9)  Hampshire (12)  Katahdin (~50)  Polypay (~30)  Shropshire (8)  Suffolk (~30)  Targhee (~26)  Other breeds have fewer than 3 flocks enrolled.  Only five meat goat herds are currently enrolled in NSIP. Source: NSIP, Feb. 10, 2016
  • 25. Can producers with small flocks enroll in NSIP?  Anyone can enroll their flock and herd in NSIP.  Small flocks should purchase or lease rams with EBVs.  Small flocks still need to use two sires for breeding.  Rate of genetic progress will be slower with small flocks.  Flock EBVs instead of (across- flock) EBVs, if no connections to other NSIP flocks. 15 ewes SIRE A 15 ewes SIRE B 25 lambs SIRE A 25 lambs SIRE B 30 ewes of same breed
  • 26. • E B V s a r e e q u a l l y b e n e f i c i a l t o s h e e p a n d g o a t p r o d u c e r s . • W h i l e N S I P u s e s s h e e p t e r m i n o l o g y ( e w e , r a m , a n d l a m b ) , i t c o u l d c h a n g e i f m o r e g o a t p r o d u c e r s w e r e e n r o l l e d i n N S I P . • S h e e p G e n e t i c s A u s t r a l i a a l s o h a s a K I D P L A N . • D r . K e n A n d r i e s f r o m K e n t u c k y S t a t e U n i v e r s i t y i s N S I P c o o r d i n a t o r f o r g o a t s . I’m a goat producer. Why should I enroll in the National Sheep Improvement Program?
  • 27. Purebred producer Commercial producer  Enroll your flock in NSIP and use EBVs to improve your accuracy of selection for economically important traits.  Purchase breeding stock, especially rams, with above average EBVs or indexes (enrolled and non-enrolled flocks; small flocks).  Establish values for your breeding stock.  Purchase males with above-average EBVs or indexes.  Direct from breeder  NSIP sales How can I use EBVs in my flock?
  • 28. Balanced selection Single trait selection  Most common (recommended) practice.  Choose animals that are above-average in all traits. “Breed the best to the best.”  Can use indexes to help make selection decisions.  Terminal sire (e.g. Suffolk)  Maternal (wool, e.g. Polypay)  Maternal (hair, e.g. Katahdin)  Maternal (range, e.g. Targhee)  Custom  Focus on small number of traits.  Correct problem in flock  Create elite flock for specific trait(s).  Riskier goal  Need to be beware of unintended consequences (problems) that can results with single or narrow trait selection. How can I use EBVs to select better animals?
  • 29. Match production system and goals to EBVs.  If you sell 60-lb. lambs, it’s better to select for maternal weaning weights than for post-weaning weights.  Organic or pasture-based operations may want to select for parasite resistance (fecal egg counts).  The emphasis in terminal sire breeds (e.g. Suffolk) should be on growth and carcass traits, whereas maternal breeds (e.g. Katahdin, Polypay) should emphasize reproductive traits and maternal weaning weights.  Prolific flocks may want to select for maternal weaning weights to reduce number of orphan lambs.
  • 30. Required Optional  Date of birth  Birth type  Rear type  Sire and dam info  Contemporary (or (management) groups  Birth weight (within 24 hours)  Weaning weight (avg. 60 days, 45-90 days)  Post weaning weight (90-150 days)  Fleece traits  Fecal egg counts (weaning, 120 days of age)  Scrotal circumference (150-240 days)  Ultrasound scan data What do I need to measure and record?
  • 31. How do I enroll my flock or herd in NSIP?  Go to NSIP.org  Print and fill out the enrollment form.  Send with check to NSIP.  Enrollment fees are waived for first year members and for three years for members younger than 22 (as of 1/1/16).  However, there is a $100 data fee deposit (is refunded after data is submitted).  Start collecting and entering data.
  • 32. Annual enrollment Data fee  Based on size of flock  $100  $2.50 x ewe/doe  $25 for additional breed • Capped at $400 - $25 early bird credit  Based on number of lambs (or kids) with post birth measurement.  $2.85 per animal, excluding animals designated as culls or commercials.  Covers lifetime of animal. How much do EBVs cost? Flock with 40 ewes or does $100 + (40 x $2.50) = $200
  • 33. Will EBVs make me money?  The primary purpose of EBVs is to make genetic improvements in your own flock or herd (i.e. to increase profitability).  There is an increasing demand for sheep with EBVs.  SW Virginia Ram Test  Center of the Nation NSIP Sale (Iowa)  Montana Ram Sale  NSIP sale in East [?]  Goats (eventually ?)Ram with an EBV of +5.0 for NLW Daughters will produce 0.05 more lambs That’s 5 more lambs per 100 lambings 5 extra lambs x $150/lamb = $750 Ram with EBV of +5.0 for WWT Progeny will be 2.5 kg (5.5 lbs) heavier at weaning than average 5.5 lbs x $2/lb = $11/lamb 50 lambs x $11 = $550 100 lambs x $11 = $1100
  • 34. Tips for making NSIP/EBVs work for you.  Collect the right data at the right time  Plan breeding groups to test genetics.  Maintain good contemporary groups.  Cooperate with other NSIP breeders.  Communicate with commercial producers.  Be honest  Be patient and trust the data.
  • 35. CAN CAN’T  Select ewe and doe replacements for economically-important traits.  Make purchasing decisions.  Make culling decisions.  Select flock sire(s)  Increase the accuracy of selection for superior performance.  Set value of breeding stock.  Increase profitability of enterprise.  Improve productivity of breed.  Tell if an animal is structurally connect.  Tell if an animal has good conformation.  Tell if an animal has good breed character.  Tell if an animal has a genetic defect (e.g. bad bite).  Replace visual appraisal.  Force you to make the right breeding decisions. What EBVs can and can’t do
  • 36. MAYBE, MAYBE NOT EBVs identify poor performing animals . Animals without EBVs could be genetically superior (or inferior), but there is no way of knowing. Are animals with EBVs better than animals without EBVs? “If you don’t measure it, you can’t manage it.”
  • 37. N A T I O N A L S H E E P I M P R O V E M E N T P R O G R A M h t t p : / / n s i p . o r g K A T A H D I N N A T I O N A L S H E E P I M P R O V E M E N T P R O G R A M h t t p : / / w w w . k a t n s i p . c o m / R A M B U Y I N G G U I D E ( n e w p u b l i c a t i o n ) h t t p : / / n s i p . o r g / w p - c o n t e n t / u p l o a d s / 2 0 1 5 / 0 1 / N S I P - R a m - B u y i n g - G u i d e - F I N A L - 1 2 - 2 1 - 1 5 . p d f S H E E P G E N E T I C S A U S T R A L I A h t t p : / / w w w . s h e e p g e n e t i c s . o r g . a u / H o m e There is lots of information about EBVs (and NSIP) online.