SlideShare a Scribd company logo
1 of 33
2013 Winter Webinar Series: Breeding Better Sheep & Goats


                 Selection

              SUSAN SCHOENIAN
            Sheep & Goat Specialist
        University of Maryland Extension
  sschoen@umd.edu - www.sheepandgoat.com
Two ways to make genetic improvement
1. Crossbreeding
   Generally, traits which respond well to crossbreeding ( heterosis)
   do not respond well to selection.
2. Selection
   Conversely, traits which respond well to selection ( heritability)
   usually do not respond well to crossbreeding (heterosis).




               Crossbreeding                    Selection
What is selection?
• Choosing which animals get to be parents.
• Choosing which male and female mate.
                               Top-performing bucks




         Replacement females
Two kinds of selection
1. Natural - “survival of the fittest”
2. Artificial - breeding plants or animals for
   specific traits (human intervention)

                                     Soay - natural selection




      Merino- artificial selection
What is the goal of selection?
• Improve the frequency
  of desirable alleles.

• Reduce frequency of
  undesirable alleles.

• Eliminate deleterious
  genes.
                          Top-selling Katahdin ram
What makes selection difficult?
• Most traits of economic
  significance are quantitative
  (polygenic) - controlled by
  many genes.
• Phenotype ≠ Genotype
  We can’t see genes.
• Sometimes, it’s difficult to
  separate genetics from
  environmental influences.
• Some traits cannot be
  directly or easily selected for.
• Quantitative (population)
  genetics is about probabilities.   P=G+E
Selection basics
• Heritability (h2)

• Repeatability (R)

• Selection differential (SD)

• Generation interval (L)

• Genetic progress (G)
                                Kiko bucklings from 2012 buck test
Heritability - h2
• The proportion of phenotypic variation in a
  population that is due to genetics (genotype).




Litter size (prolificacy)        Milk yield            Tail length
    h2 = 10 percent         h2 = 30-35 percent   h2 = up to 82 percent
Heritability estimates
• There are a lot of h2
  estimates for most
  sheep traits.
• There are h2 estimates
  for most dairy goat traits.
• It’s harder to find h2
  subjectively measured traits.
• H2 estimates usually vary by
  species, breed, and           • There aren’t many h2
  environment, so averages are    estimates for meat goats,
  often used.                     so we usually use sheep
                                 estimates.
Heritability of different traits
Trait type     Heritability       Genetics   Environment
Reproductive   Low                 5-20%      85-100%
Growth         Moderate           10-50%       50-90%
Carcass        Moderate           10-45%       55-90%
Fleece         Moderate to high   25-55%       45-75%
Lactation      Moderate           15-35%       65-85%
Heritability of reproductive traits
Most maternal traits have a low heritability (<20%).
                                      Trait                                        Avg. h2
                                      Age at puberty                                0.25
                                      Ewe fertility*                                0.05
                                      Ewe productivity *                            0.20
                                      Gestation length                              0.45
                                      Lamb survival *                               0.05
                                      Libido                                        0.22
                                      Longevity                                     0.27
                                      Mothering ability                             0.39
                                      Out-of-season breeding                        0.20
                                      Prolificacy *                                 0.10
                                      Scrotal circumference *                       0.35
                                      Spring fertility                            0.07-0.11
 Katahdin                             *Source: Sheep Production Handbook (2002)
Heritability of growth traits
Most growth traits are moderately heritable (20-40%).

                                    Trait                                Avg. h2
                                    Birth weight *                         0.15
                                    60 day weight *                        0.10
                                    90 day weight *                        0.15
                                    120 day weight *                       0.20
                                    240 day weight *                       0.40
                                    Mature weight                          0.50
                                    Feed efficiency                        0.26
                                    Post-weaning gain                      0.25
                                    Pre-weaning gain                       0.15
                                    *Source: Sheep Production Handbook (2002)
          South Dakota lambs
Heritability of carcass traits
Most carcass traits are moderately heritable (20-40%).
                                    Trait                                        Avg. h2
                                    12th rib fat thickness *                      0.30
                                    Bone weight                                   0.30
                                    Carcass length                                0.31
                                    Carcass weight *                              0.35
                                    Dressing percent *                            0.10
                                    Grade                                         0.12
                                    Lean weight                                   0.39
                                    Loin depth                                  0.15-0.38
                                    Loin eye area *                               0.35
                                    Percent retail cuts *                         0.40
                                    Weight of retail cuts *                       0.45
        Southdown lamb              *Source: Sheep Production Handbook (2002)
Heritability of fleece traits
Sheep fleece traits are moderate to highly heritable (>25%).

                                         Trait                                       Avg. h2
                                         Character                                    0.33
                                         Clean fleece weight*                         0.25
                                         Color *                                      0.45
                                         Crimp*                                       0.45
                                         CV of fiber diameter                         0.50
                                         Fiber diameter*                              0.40
                                         Grease fleece weight*                        0.35
                                         Handle                                       0.33
                                         Staple length*                               0.55
                                         Yield (%)*                                   0.40
                                         *Source: Sheep Production Handbook (2002)
      Rambouillet rams in South Dakota
Heritability of lactation (sheep)
Most lactation traits are moderately heritable (20-40%).

                                   Trait                                       Avg. h2
                                   Fat percentage*                              0.30
                                   Fat yield*                                   0.35
                                   Milk yield*                                  0.30
                                   Protein percentage*                          0.30
                                   Protein yield*                               0.45
                                   Rear udder attachment**                      0.15
                                   Teat placement**                             0.25
                                   Teat size**                                  0.20
                                   Udder height/depth**                         0.15
                                   *Source: Sheep Production Handbook (2002)
       Dairy ewe in Maryland       ** Dave Thomas, University of Wisconsin
Heritability of production traits of dairy goats
Dairy goat production traits are moderate to highly heritable (20-50%).

                                          Trait                                         Avg. h2
                                          Milk yield                                      0.35
                                          Fat yield                                       0.35
                                          Protein yield                                   0.37
                                          Protein: fat ratio                              0.37
                                          Fat and protein yield                           0.36
                                          Fat percentage                                  0.52
                                          Protein percentage                              0.54
                                          Age at first kidding                            0.23
                                          Kidding interval                                0.05
                                          Source: Breed differences over time and heritability estimates
                                          for production and reproduction traits of dairy goats in the
                                          United States (Journal of Dairy Science, 2012).
    Sannen doe in Maryland
Disease resistance
                                          Disease                              Avg. h2
                                          Dag scores (scouring)              0.10 - 0.37
                                          Facial eczema                         0.45
                                          Parasite resistance                0.25 - 0.50*
                                          [fecal egg counts]

                                          Fly strike                         0.20 - 0.33
                                          Foot rot                           0.20 - 0.30
                                          Mastitis                              0.13
                                          Parasite resilience                   0.10
                                          [PCV, FAMACHA© scores]

                                          Somatic cell count                  0.10-0.20
                                          (strong correlation to mastitis)


 Fecal egg counting with McMaster slide   * Katahdin
Heritability of defects
                               Defect                          Avg. h2
                               Cryptorchidism                  high (?)
                               Entropion                        0.15
                               (inverted eye lid)
                               Face cover                       0.56
                               (precursor to wool blindness)

                               Multiple nipples                high (?)
                               Jaw position                     0.13
                               Hernias                         high (?)
                               umbilical, inguinal, scrotal
                               Rectal prolapse                  0.14
                               Vaginal prolapse                low (?)
   Congenital scrotal hernia
                               Source: various
Heritability of conformation and type
                               Trait                       Avg. h2


                                   Though not well
                                  documented, the
                               heritability of individual
                               conformation traits (e.g.
                                 height and length) is
                                considered to be high.
                                However, these traits are usually not
   Hampshire ewe in Kentucky   strongly -correlated with performance.
Repeatability (accuracy)
• Correlation (reliability)
  between repeated
  measurements.

• Indicates the upper
  level of heritability.

• Traits with high
  heritability usually have
  high repeatability.         Top-performing buck (Kiko) from 2009 Test
Generation interval
• Average age of parents when progeny are born.
  Varies by gender and management.




       Yearling Katahdin ewe         11 year old Katahdin ewe
Selection differential (SD)
• Difference between selected animals and the average
  of the population from which they were selected.

                                                     Average of
                                                     population



       Average of
        selected
       population




                         Selection differential




                    500 epg               1500 epg                10000 epg
Genetic progress (G)
                                  G = h2 x selection differential
                                          generation interval


                                      G =
                                                   0.40 x [1500-500]
                                                            4

                                            G =        -100 epg per year
                                                       -500 epg in 5 years
                                                      -1000 epg in 10 years
This is a “simplistic” example. Other factors, such as repeatability, will affect genetic progress.
Most genetic progress when…
• Heritability is high.

• Repeatability is high.

• Selection differential
  is wide.

• Generational interval
  is short (though there is a
  trade-off with selection
  differential).
                                Rambouillet lambs in South Dakota
Practical aspects of selection
 • Animal identification
     a)   Permanent
     b)   Unique

 • Data collection
     a)   Reproduction
     b)   Growth
     c)   Milk
     d)   Fleece
     e)   Carcass
     f)   Disease resistance
     g)   Defects

 • Record keeping and analysis
     a)   Pedigree
     b)   Performance
     c)   Type
Methods of selection
                 •   Individual
                 •   Family/pedigree
                 •   Progeny
                 •   Combined
                     – EPD
                     – EBV
                     – MPPA
Methods of selection
                                       In Targhee breed, each 1 lb. increase in
1. Single trait                          weaning weight resulted in a 2 ½ lb.
    Generally not recommended            increase in ewe mature body size.

2. Multiple trait
    Success of raising sheep
     and/or goats depends upon
     improvement or more than
     one trait.
    Single trait selection can have
     unexpected and undesirable
     consequences due to genetic
     correlations or environmental
     responses.
                                             Dorper x Polypay lambs in Kentucky
Multiple trait selection

                           1.   Tandem
                                selection

                           2.   Independent
                                culling levels

                           3.   Selection index
    Dairy goat in Brazil
Tandem selection
                             • Focus on one trait
                               at a time until a satisfactory
                               level of performance is
                               achieved; then move on to
                               another trait and so forth.

                             • Selection may result in
                               changes (positive or
                               negative) to correlated
                               traits.
                                – Milk yield vs. fat percentage
                                  (antagonistic)
                                – Staple length vs. fleece weight
    Scottish Blackface ram        (favorable)
Independent culling levels
   Select for two or more traits
    simultaneously.
   Establish a minimum standard
    for each trait.

Examples
1) Western Maryland Pasture-Based
    Meat Goat Performance Test
    Gold, Silver, and Bronze Standards of
    Performance for growth rate, parasite
    resistance, and parasite resilience.
2) On-farm
    Keep only twin-births
    Don’t keep any kids that require
    deworming more than once.
                                            Top-performing buck (Kiko)
Selection index
• Combine traits for
  overall merit

   1)   On-farm
   2)   Central performance test
   3)   EPD’s
   4)   Profitability


                                   Source: Montana State University
Index examples
Simple productivity index for meat sheep and goats
Pounds of (quality) lamb or kid weaned
[composite trait: fertility + litter size + mothering ability + offspring survival + milk production]

“Old-time” sheep productivity index
[Pounds of lamb + (2.5 x fleece weight)]

Pennsylvania Meat Goat Buck Test
40% average daily gain
20% weight per day of age
20% loin eye area (adjusted)
20% leg circumference (adjusted)

Profitability index (Targhee sheep - farm flock)
$1.00 WW + $0.36 MM - $0.40 YW + $1.14 FW - $0.30 FD + $0.19 LC
Profitability index (Targhee sheep - range flock)
$1.00 WW + $0.26 MM - $0.26 YW + $1.92 FW - $0.47 FD + $0.36 LC
EPD’s: WW=weaning weight, MM-maternal milk, YW=yearling weight, FW=fleece weight, FD=fiber diameter, and LC=lamb crop
Next webinar: Feb 12, 7 pm EST
  “Performance Evaluation”

More Related Content

What's hot (20)

Response to Selection
Response to SelectionResponse to Selection
Response to Selection
 
Sire evaluation
Sire evaluationSire evaluation
Sire evaluation
 
A beginner’s guide to EBVs
A beginner’s guide to EBVsA beginner’s guide to EBVs
A beginner’s guide to EBVs
 
Animal breeding
Animal breedingAnimal breeding
Animal breeding
 
Buffalo breeds 1
Buffalo breeds 1Buffalo breeds 1
Buffalo breeds 1
 
Methods of selection in animal genetics and breeding
Methods of selection in animal genetics and breedingMethods of selection in animal genetics and breeding
Methods of selection in animal genetics and breeding
 
Breeding systems
Breeding systemsBreeding systems
Breeding systems
 
Open Nucleus Breeding System (ONBS)
Open Nucleus Breeding System (ONBS)Open Nucleus Breeding System (ONBS)
Open Nucleus Breeding System (ONBS)
 
Correlations
CorrelationsCorrelations
Correlations
 
Basis of selection in animal genetics and breeding
Basis of selection in animal genetics and breeding Basis of selection in animal genetics and breeding
Basis of selection in animal genetics and breeding
 
Nucleus breeding system
Nucleus breeding systemNucleus breeding system
Nucleus breeding system
 
Types and forms of feed and feeding methods in poultry
Types and forms of feed and feeding methods in poultryTypes and forms of feed and feeding methods in poultry
Types and forms of feed and feeding methods in poultry
 
Animal breeding course
Animal breeding courseAnimal breeding course
Animal breeding course
 
Breeding better sheep
Breeding better sheepBreeding better sheep
Breeding better sheep
 
Animal Breeding
Animal BreedingAnimal Breeding
Animal Breeding
 
Animal breeding goals
Animal breeding goalsAnimal breeding goals
Animal breeding goals
 
heritability its type and estimation of it
heritability its type and estimation of itheritability its type and estimation of it
heritability its type and estimation of it
 
Sire evaluation
Sire evaluationSire evaluation
Sire evaluation
 
POULTRY BREEDS
POULTRY BREEDSPOULTRY BREEDS
POULTRY BREEDS
 
MATING SYSTEMS
MATING SYSTEMSMATING SYSTEMS
MATING SYSTEMS
 

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

Full Stack Web Development Course for Beginners
Full Stack Web Development Course  for BeginnersFull Stack Web Development Course  for Beginners
Full Stack Web Development Course for BeginnersSabitha Banu
 
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdfAMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdfphamnguyenenglishnb
 
Hierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of managementHierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of managementmkooblal
 
Types of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxTypes of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxEyham Joco
 
Atmosphere science 7 quarter 4 .........
Atmosphere science 7 quarter 4 .........Atmosphere science 7 quarter 4 .........
Atmosphere science 7 quarter 4 .........LeaCamillePacle
 
DATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersDATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersSabitha Banu
 
Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceSamikshaHamane
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxOH TEIK BIN
 
Judging the Relevance and worth of ideas part 2.pptx
Judging the Relevance  and worth of ideas part 2.pptxJudging the Relevance  and worth of ideas part 2.pptx
Judging the Relevance and worth of ideas part 2.pptxSherlyMaeNeri
 
Grade 9 Q4-MELC1-Active and Passive Voice.pptx
Grade 9 Q4-MELC1-Active and Passive Voice.pptxGrade 9 Q4-MELC1-Active and Passive Voice.pptx
Grade 9 Q4-MELC1-Active and Passive Voice.pptxChelloAnnAsuncion2
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTiammrhaywood
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Celine George
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Celine George
 
Gas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxGas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxDr.Ibrahim Hassaan
 
ROOT CAUSE ANALYSIS PowerPoint Presentation
ROOT CAUSE ANALYSIS PowerPoint PresentationROOT CAUSE ANALYSIS PowerPoint Presentation
ROOT CAUSE ANALYSIS PowerPoint PresentationAadityaSharma884161
 
ACC 2024 Chronicles. Cardiology. Exam.pdf
ACC 2024 Chronicles. Cardiology. Exam.pdfACC 2024 Chronicles. Cardiology. Exam.pdf
ACC 2024 Chronicles. Cardiology. Exam.pdfSpandanaRallapalli
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxAnupkumar Sharma
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxiammrhaywood
 
Romantic Opera MUSIC FOR GRADE NINE pptx
Romantic Opera MUSIC FOR GRADE NINE pptxRomantic Opera MUSIC FOR GRADE NINE pptx
Romantic Opera MUSIC FOR GRADE NINE pptxsqpmdrvczh
 

Recently uploaded (20)

Full Stack Web Development Course for Beginners
Full Stack Web Development Course  for BeginnersFull Stack Web Development Course  for Beginners
Full Stack Web Development Course for Beginners
 
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdfAMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
 
Hierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of managementHierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of management
 
Types of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxTypes of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptx
 
Atmosphere science 7 quarter 4 .........
Atmosphere science 7 quarter 4 .........Atmosphere science 7 quarter 4 .........
Atmosphere science 7 quarter 4 .........
 
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
DATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersDATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginners
 
Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in Pharmacovigilance
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptx
 
Judging the Relevance and worth of ideas part 2.pptx
Judging the Relevance  and worth of ideas part 2.pptxJudging the Relevance  and worth of ideas part 2.pptx
Judging the Relevance and worth of ideas part 2.pptx
 
Grade 9 Q4-MELC1-Active and Passive Voice.pptx
Grade 9 Q4-MELC1-Active and Passive Voice.pptxGrade 9 Q4-MELC1-Active and Passive Voice.pptx
Grade 9 Q4-MELC1-Active and Passive Voice.pptx
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17
 
Gas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxGas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptx
 
ROOT CAUSE ANALYSIS PowerPoint Presentation
ROOT CAUSE ANALYSIS PowerPoint PresentationROOT CAUSE ANALYSIS PowerPoint Presentation
ROOT CAUSE ANALYSIS PowerPoint Presentation
 
ACC 2024 Chronicles. Cardiology. Exam.pdf
ACC 2024 Chronicles. Cardiology. Exam.pdfACC 2024 Chronicles. Cardiology. Exam.pdf
ACC 2024 Chronicles. Cardiology. Exam.pdf
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
 
Romantic Opera MUSIC FOR GRADE NINE pptx
Romantic Opera MUSIC FOR GRADE NINE pptxRomantic Opera MUSIC FOR GRADE NINE pptx
Romantic Opera MUSIC FOR GRADE NINE pptx
 

Selection

  • 1. 2013 Winter Webinar Series: Breeding Better Sheep & Goats Selection SUSAN SCHOENIAN Sheep & Goat Specialist University of Maryland Extension sschoen@umd.edu - www.sheepandgoat.com
  • 2. Two ways to make genetic improvement 1. Crossbreeding Generally, traits which respond well to crossbreeding ( heterosis) do not respond well to selection. 2. Selection Conversely, traits which respond well to selection ( heritability) usually do not respond well to crossbreeding (heterosis). Crossbreeding Selection
  • 3. What is selection? • Choosing which animals get to be parents. • Choosing which male and female mate. Top-performing bucks Replacement females
  • 4. Two kinds of selection 1. Natural - “survival of the fittest” 2. Artificial - breeding plants or animals for specific traits (human intervention) Soay - natural selection Merino- artificial selection
  • 5. What is the goal of selection? • Improve the frequency of desirable alleles. • Reduce frequency of undesirable alleles. • Eliminate deleterious genes. Top-selling Katahdin ram
  • 6. What makes selection difficult? • Most traits of economic significance are quantitative (polygenic) - controlled by many genes. • Phenotype ≠ Genotype We can’t see genes. • Sometimes, it’s difficult to separate genetics from environmental influences. • Some traits cannot be directly or easily selected for. • Quantitative (population) genetics is about probabilities. P=G+E
  • 7. Selection basics • Heritability (h2) • Repeatability (R) • Selection differential (SD) • Generation interval (L) • Genetic progress (G) Kiko bucklings from 2012 buck test
  • 8. Heritability - h2 • The proportion of phenotypic variation in a population that is due to genetics (genotype). Litter size (prolificacy) Milk yield Tail length h2 = 10 percent h2 = 30-35 percent h2 = up to 82 percent
  • 9. Heritability estimates • There are a lot of h2 estimates for most sheep traits. • There are h2 estimates for most dairy goat traits. • It’s harder to find h2 subjectively measured traits. • H2 estimates usually vary by species, breed, and • There aren’t many h2 environment, so averages are estimates for meat goats, often used. so we usually use sheep estimates.
  • 10. Heritability of different traits Trait type Heritability Genetics Environment Reproductive Low 5-20% 85-100% Growth Moderate 10-50% 50-90% Carcass Moderate 10-45% 55-90% Fleece Moderate to high 25-55% 45-75% Lactation Moderate 15-35% 65-85%
  • 11. Heritability of reproductive traits Most maternal traits have a low heritability (<20%). Trait Avg. h2 Age at puberty 0.25 Ewe fertility* 0.05 Ewe productivity * 0.20 Gestation length 0.45 Lamb survival * 0.05 Libido 0.22 Longevity 0.27 Mothering ability 0.39 Out-of-season breeding 0.20 Prolificacy * 0.10 Scrotal circumference * 0.35 Spring fertility 0.07-0.11 Katahdin *Source: Sheep Production Handbook (2002)
  • 12. Heritability of growth traits Most growth traits are moderately heritable (20-40%). Trait Avg. h2 Birth weight * 0.15 60 day weight * 0.10 90 day weight * 0.15 120 day weight * 0.20 240 day weight * 0.40 Mature weight 0.50 Feed efficiency 0.26 Post-weaning gain 0.25 Pre-weaning gain 0.15 *Source: Sheep Production Handbook (2002) South Dakota lambs
  • 13. Heritability of carcass traits Most carcass traits are moderately heritable (20-40%). Trait Avg. h2 12th rib fat thickness * 0.30 Bone weight 0.30 Carcass length 0.31 Carcass weight * 0.35 Dressing percent * 0.10 Grade 0.12 Lean weight 0.39 Loin depth 0.15-0.38 Loin eye area * 0.35 Percent retail cuts * 0.40 Weight of retail cuts * 0.45 Southdown lamb *Source: Sheep Production Handbook (2002)
  • 14. Heritability of fleece traits Sheep fleece traits are moderate to highly heritable (>25%). Trait Avg. h2 Character 0.33 Clean fleece weight* 0.25 Color * 0.45 Crimp* 0.45 CV of fiber diameter 0.50 Fiber diameter* 0.40 Grease fleece weight* 0.35 Handle 0.33 Staple length* 0.55 Yield (%)* 0.40 *Source: Sheep Production Handbook (2002) Rambouillet rams in South Dakota
  • 15. Heritability of lactation (sheep) Most lactation traits are moderately heritable (20-40%). Trait Avg. h2 Fat percentage* 0.30 Fat yield* 0.35 Milk yield* 0.30 Protein percentage* 0.30 Protein yield* 0.45 Rear udder attachment** 0.15 Teat placement** 0.25 Teat size** 0.20 Udder height/depth** 0.15 *Source: Sheep Production Handbook (2002) Dairy ewe in Maryland ** Dave Thomas, University of Wisconsin
  • 16. Heritability of production traits of dairy goats Dairy goat production traits are moderate to highly heritable (20-50%). Trait Avg. h2 Milk yield 0.35 Fat yield 0.35 Protein yield 0.37 Protein: fat ratio 0.37 Fat and protein yield 0.36 Fat percentage 0.52 Protein percentage 0.54 Age at first kidding 0.23 Kidding interval 0.05 Source: Breed differences over time and heritability estimates for production and reproduction traits of dairy goats in the United States (Journal of Dairy Science, 2012). Sannen doe in Maryland
  • 17. Disease resistance Disease Avg. h2 Dag scores (scouring) 0.10 - 0.37 Facial eczema 0.45 Parasite resistance 0.25 - 0.50* [fecal egg counts] Fly strike 0.20 - 0.33 Foot rot 0.20 - 0.30 Mastitis 0.13 Parasite resilience 0.10 [PCV, FAMACHA© scores] Somatic cell count 0.10-0.20 (strong correlation to mastitis) Fecal egg counting with McMaster slide * Katahdin
  • 18. Heritability of defects Defect Avg. h2 Cryptorchidism high (?) Entropion 0.15 (inverted eye lid) Face cover 0.56 (precursor to wool blindness) Multiple nipples high (?) Jaw position 0.13 Hernias high (?) umbilical, inguinal, scrotal Rectal prolapse 0.14 Vaginal prolapse low (?) Congenital scrotal hernia Source: various
  • 19. Heritability of conformation and type Trait Avg. h2 Though not well documented, the heritability of individual conformation traits (e.g. height and length) is considered to be high. However, these traits are usually not Hampshire ewe in Kentucky strongly -correlated with performance.
  • 20. Repeatability (accuracy) • Correlation (reliability) between repeated measurements. • Indicates the upper level of heritability. • Traits with high heritability usually have high repeatability. Top-performing buck (Kiko) from 2009 Test
  • 21. Generation interval • Average age of parents when progeny are born. Varies by gender and management. Yearling Katahdin ewe 11 year old Katahdin ewe
  • 22. Selection differential (SD) • Difference between selected animals and the average of the population from which they were selected. Average of population Average of selected population Selection differential 500 epg 1500 epg 10000 epg
  • 23. Genetic progress (G) G = h2 x selection differential generation interval G = 0.40 x [1500-500] 4 G = -100 epg per year -500 epg in 5 years -1000 epg in 10 years This is a “simplistic” example. Other factors, such as repeatability, will affect genetic progress.
  • 24. Most genetic progress when… • Heritability is high. • Repeatability is high. • Selection differential is wide. • Generational interval is short (though there is a trade-off with selection differential). Rambouillet lambs in South Dakota
  • 25. Practical aspects of selection • Animal identification a) Permanent b) Unique • Data collection a) Reproduction b) Growth c) Milk d) Fleece e) Carcass f) Disease resistance g) Defects • Record keeping and analysis a) Pedigree b) Performance c) Type
  • 26. Methods of selection • Individual • Family/pedigree • Progeny • Combined – EPD – EBV – MPPA
  • 27. Methods of selection In Targhee breed, each 1 lb. increase in 1. Single trait weaning weight resulted in a 2 ½ lb.  Generally not recommended increase in ewe mature body size. 2. Multiple trait  Success of raising sheep and/or goats depends upon improvement or more than one trait.  Single trait selection can have unexpected and undesirable consequences due to genetic correlations or environmental responses. Dorper x Polypay lambs in Kentucky
  • 28. Multiple trait selection 1. Tandem selection 2. Independent culling levels 3. Selection index Dairy goat in Brazil
  • 29. Tandem selection • Focus on one trait at a time until a satisfactory level of performance is achieved; then move on to another trait and so forth. • Selection may result in changes (positive or negative) to correlated traits. – Milk yield vs. fat percentage (antagonistic) – Staple length vs. fleece weight Scottish Blackface ram (favorable)
  • 30. Independent culling levels  Select for two or more traits simultaneously.  Establish a minimum standard for each trait. Examples 1) Western Maryland Pasture-Based Meat Goat Performance Test Gold, Silver, and Bronze Standards of Performance for growth rate, parasite resistance, and parasite resilience. 2) On-farm Keep only twin-births Don’t keep any kids that require deworming more than once. Top-performing buck (Kiko)
  • 31. Selection index • Combine traits for overall merit 1) On-farm 2) Central performance test 3) EPD’s 4) Profitability Source: Montana State University
  • 32. Index examples Simple productivity index for meat sheep and goats Pounds of (quality) lamb or kid weaned [composite trait: fertility + litter size + mothering ability + offspring survival + milk production] “Old-time” sheep productivity index [Pounds of lamb + (2.5 x fleece weight)] Pennsylvania Meat Goat Buck Test 40% average daily gain 20% weight per day of age 20% loin eye area (adjusted) 20% leg circumference (adjusted) Profitability index (Targhee sheep - farm flock) $1.00 WW + $0.36 MM - $0.40 YW + $1.14 FW - $0.30 FD + $0.19 LC Profitability index (Targhee sheep - range flock) $1.00 WW + $0.26 MM - $0.26 YW + $1.92 FW - $0.47 FD + $0.36 LC EPD’s: WW=weaning weight, MM-maternal milk, YW=yearling weight, FW=fleece weight, FD=fiber diameter, and LC=lamb crop
  • 33. Next webinar: Feb 12, 7 pm EST “Performance Evaluation”