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ICAR AICE-JRF/SRF Biometrical Techniques in Plant & Animal Breeding: practice questions

ICAR AICE-JRF/SRF - Agricultural Statistics, Computer Application, Bioinformatics (PhD admission and fellowship) · India · National Testing Agency for ICAR

Original practice questions written to the published syllabus · not past papers
10worked here, free
86written to this exam in this subject
11syllabus units

What this subject covers

The analyses a breeding programme runs every season: path analysis, D-squared divergence, diallel and line x tester analysis for combining ability, generation-mean analysis, North Carolina designs, heterosis, prediction of response to selection and the construction of selection indices.

In the exams: AICE-JRF Ag Stat Unit 3 'path coefficient analysis, heterosis, GCA and SCA, diallel, line x tester, response to selection, selection index' (heavy); AICE-JRF Genetics & Plant Breeding (heavy); ASRB NET Ag Stat (heavy)

What ICAR AICE-JRF/SRF asks from it

ICAR AICE-JRF/SRF Agricultural Statistics (Unit 3)

Path coefficient analysis, heterosis, GCA and SCA, diallel and line x tester analysis, response to selection (individual, family, combined), selection indices, stability parameters.

ICAR AICE-JRF/SRF Genetics & Plant Breeding and Animal Genetics & Breeding

Variability parameters, D squared, combining ability, generation means, mating designs, selection theory and sire evaluation.

Where the 86 questions fall

How our questions for ICAR AICE-JRF/SRF spread across the units of Biometrical Techniques in Plant & Animal Breeding. Difficulty: 19 easy, 46 medium, 21 hard.

Diallel crosses: Griffing's methods and Hayman's approach11
Genotypic and phenotypic correlations and path coefficient analysis10
Heterosis and inbreeding depression10
Generation mean analysis and scaling tests9
Response to selection: individual, family and combined9
Construction of selection indices (Smith-Hazel)8
Sire evaluation and breeding-value estimation in animals7
Genetic divergence: Mahalanobis D-squared and clustering6
Line x tester analysis6
North Carolina designs and triple test cross6
Stability parameters for breeding lines4

10 practice questions, worked

Choose an answer, then open the working. Each explanation says why the right answer is right and why the others are not.

1 · Genotypic and phenotypic correlations and path coefficient analysis · medium

With sigma^2 g = 16 and sigma^2 e = 9, what is broad-sense heritability?

  1. 0.36
  2. 1.78
  3. 0.64
  4. 0.80
Answer and working

C. 0.64

h^2 = 16/(16 + 9) = 0.64; 0.80 is sqrt(0.64).

Further reading: Singh and Chaudhary, Biometrical Methods in Quantitative Genetic Analysis; Falconer and Mackay, Introduction to Quantitative Genetics

2 · Genotypic and phenotypic correlations and path coefficient analysis · hard

With r1y = 0.6, r2y = 0.5 and r12 = 0.3, what is the direct path coefficient of trait 1 on yield?

  1. 0.600
  2. 0.352
  3. 0.495
  4. 0.450
Answer and working

C. 0.495

Solve P1 + 0.3P2 = 0.6, 0.3P1 + P2 = 0.5: P1 = 0.45/0.91 = 0.495, P2 = 0.352.

Further reading: Singh and Chaudhary, Biometrical Methods in Quantitative Genetic Analysis; Falconer and Mackay, Introduction to Quantitative Genetics

3 · Diallel crosses: Griffing's methods and Hayman's approach · medium

In Griffing's method 2 with 7 parents, how many df does SCA have?

  1. 21
  2. 6
  3. 14
  4. 28
Answer and working

A. 21

p(p - 1)/2 = 21; entries 28, GCA 6.

Further reading: Singh and Chaudhary, Biometrical Methods in Quantitative Genetic Analysis; Falconer and Mackay, Introduction to Quantitative Genetics

4 · Diallel crosses: Griffing's methods and Hayman's approach · hard

What value of H2/4H1 indicates equal frequencies of genes with positive and negative effects?

  1. 0.00
  2. 0.50
  3. 1.00
  4. 0.25
Answer and working

D. 0.25

H2/4H1 = uv, maximal at 0.25 when u = v = 0.5.

Further reading: Singh and Chaudhary, Biometrical Methods in Quantitative Genetic Analysis; Falconer and Mackay, Introduction to Quantitative Genetics

5 · Diallel crosses: Griffing's methods and Hayman's approach · medium

Where do parents with more dominant genes lie on the Wr-Vr regression line?

  1. Above the line
  2. Below the x-axis
  3. Near the origin
  4. Far from the origin
Answer and working

C. Near the origin

Parents with most dominant genes have the smallest Wr and Vr.

Further reading: Singh and Chaudhary, Biometrical Methods in Quantitative Genetic Analysis; Falconer and Mackay, Introduction to Quantitative Genetics

6 · Line x tester analysis · easy

With 10 lines and 3 testers, how many crosses are there?

  1. 27
  2. 13
  3. 30
  4. 45
Answer and working

C. 30

Each of the 10 lines is crossed with each of the 3 testers: l x t = 30.

Further reading: Singh and Chaudhary, Biometrical Methods in Quantitative Genetic Analysis; Falconer and Mackay, Introduction to Quantitative Genetics

7 · Generation mean analysis and scaling tests · medium

P1 = 20, F1 = 18, B1 = 20. What is Mather's scaling test A?

  1. 2
  2. -2
  3. 20
  4. -18
Answer and working

A. 2

A = 2B1 - P1 - F1 = 40 - 20 - 18 = 2.

Further reading: Singh and Chaudhary, Biometrical Methods in Quantitative Genetic Analysis; Falconer and Mackay, Introduction to Quantitative Genetics

8 · Sire evaluation and breeding-value estimation in animals · medium

With h^2 = 0.25, what is k = (4 - h^2)/h^2 in the sire index?

  1. 1
  2. 17
  3. 16
  4. 15
Answer and working

D. 15

k = (4 - 0.25)/0.25 = 3.75/0.25 = 15.

Further reading: Singh and Chaudhary, Biometrical Methods in Quantitative Genetic Analysis; Falconer and Mackay, Introduction to Quantitative Genetics

9 · Sire evaluation and breeding-value estimation in animals · hard

With h^2 = 0.25, what is the accuracy with 100 daughters?

  1. 1.00
  2. 0.98
  3. 0.93
  4. 0.87
Answer and working

C. 0.93

sqrt(100/(100 + 15)) = 0.93.

Further reading: Singh and Chaudhary, Biometrical Methods in Quantitative Genetic Analysis; Falconer and Mackay, Introduction to Quantitative Genetics

10 · Stability parameters for breeding lines · easy

A breeding line has high mean, b near 1 and small deviations. It is suited to:

  1. Wide adaptation
  2. Poor environments only
  3. No environment
  4. Favourable environments only
Answer and working

A. Wide adaptation

Eberhart-Russell criteria for broad adaptation.

Further reading: Singh and Chaudhary, Biometrical Methods in Quantitative Genetic Analysis; Falconer and Mackay, Introduction to Quantitative Genetics

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Biometrical Techniques in Plant & Animal BreedingThe full study manual, free ICAR AICE-JRF/SRFFormat, sections and how it has changed

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