8: Statistical Characterization of a Population Flashcards

1
Q

Who was the first to implement systematic selective breeding of livestock

A

1725-1795
Robert Bakewell (mostly sheep & cattle)

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2
Q

Seven steps to selective breeding

A
  1. Define important traits
  2. Collect info available
  3. Analyze the target pop
  4. Present the quantitative data
  5. Estimate breeding values
  6. Select potential parents
  7. Implement mating programs
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3
Q

Main components of structured breeding programs

A

Breeding goal
Collection of performance data
Analysis of data for identification of superior animals
Use of superior animals to produce next gen

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4
Q

Seven steps of a breeding program

A
  1. Define production system
  2. Define breeding goal
  3. Collect information
  4. Determine selection criteria
  5. Selection and mating
  6. Dissemination
  7. Evaluation
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5
Q

What is statistics

A

Collection and analysis of numerical data in order to investigate relationships among phenomena to explain, predict and control their occurrence

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6
Q

Breeder’s job is to…

A

Improve a population of animals, not just a single animal

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7
Q

How do you improve a population of animals

A

Identify a group of animals that have performance similar to the performance of the “best animal” and select them as parents for next gen

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8
Q

Statistics is needed to describe and/or infer the…

A

characteristics of populations

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9
Q

Population vs sample vs individuals

A

Pop = all individuals
Sample = subset of individuals taken from pop
Individual = member of the sample or of the pop

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10
Q

What is a value in animal genetics? E.g.

A

Any measure applied to an individual animal as opposed to a population
e.g. phenotypic value, genotypic value, breeding value

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11
Q

Animal breeders are not only concerned with individual values, but also with…

A

distributions and relationships between these values in a population

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12
Q

Example of a relationship btw values in a pop

A

Do heavier cattle tend to produce heavier calves (=calving difficulty)
How does birth weight affect age at first calving

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13
Q

What is a population parameter? E.g.

A

Numerical value of a pop
Often unknown, hard to measure every individual in a pop
e.g. age of first calving of all angus cows in Canada

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14
Q

What is a sample statistic? E.g.

A

Any numerical measure computed from a subset of the pop
e.g. Age at first calving of 5,000 angus cows and calculate sample statistic

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15
Q

What are descriptive statistics

A

A summary statistic that quantitatively describes or summarizes features of data

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16
Q

What are inferential statistics

A

Statistical tests to determine genetic and env effects, variation and facilitate breeding decisions

17
Q

What is a qualitative (monogenic) trait

A

Phenotypes that fall into distinct classes or categories
e.g. polled vs horned

18
Q

Three types of quantitative (polygenic) traits

A
  1. Continuous
  2. Meristic
  3. Threshold
19
Q

What are continuous polygenic traits? E.g.

A

Have a scale of measurement that is naturally continuous e.g. milk production in kg

20
Q

What are meristic quantitative traits? E.g.

A

Counting quantitative features, exhibit a large number of discrete classes (e.g. # of piglets born alive)

21
Q

What are threshold quantitative traits? E.g.

A

Continuously distributed phenotypes with some trait value that defines an upper or lower limit (threshold)
e.g. healthy vs diseased animal

22
Q

Slide 20

A

E.g. of threshold trait graph

23
Q

The infinitesimal model assumes that…

A

all traits are determined by a high number of genes, each with an infinitely small effect, and environmental effects

24
Q

Animal breeding wants to predict… What helps us with that

A

Predict genetic potential of animals and how the next generation will improve if we use a certain proportion of animals as parents
Normal distribution (comes with set of statistical rules)

25
Q

What are measures of central tendency/location

A

Mean, median and mode

26
Q

What are measures of variability/ dispersion

A

Standard deviation, variance, minimum and maximum variables

27
Q

What is the mean

A

Sum of all measurements divided by the number of measurements

28
Q

What is variance

A

Average squared deviation of the observations from the mean

29
Q

N vs n

A

N = pop
n = sample

30
Q

Slide 24

A

Mean/variance equations

31
Q

What is median? Mode?

When is mean=mode=median

A

Median = value in the middle of the data set
Mode = value that occurs most often

Under normal distribution

32
Q

What is standard deviation

A

Square root of the variance, thus has the same measure unit as the mean

33
Q

Slide 28

A

*** memorize top curve
Divide by two bc its only half of the data points btw 95 and 68%

34
Q

Mean calving interval in beef cattle? With a standard deviation of…

A

380 days +/- 20 days

35
Q

Mean milk yield in dairy cows? With a standard deviation of…

A

13,000lbs +/- 560lbs