MCQ on Biometrical Genetics / Quantitative Genetics Part -20 For ARS NET / SRF Exams

 


1.** From replicated data, the simple correlation coefficient is calculated as (x and y are two variables)


(i)  r = √(MSSx / Σx²)

(ii)  r = √(MSSx / MSy)

(iii)  r = Σxy / √(Σx²Σy²)

(iv)  r = Σxy / N


2. From unreplicated data, the simple correlation coefficient is calculated as (x and y are two variables)

(i)  r = 1 / (N - 1) × Σxy / √(Σx²Σy²)

(ii)  r = Σxy / √(Σx²Σy²)

(iii)  r = √(MSSx / MSy)

(iv)  r = MSSx / MSy


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3.** If the value of *r* is significant, it indicates (where *r* = simple correlation coefficient)

(i)  Increase in the value of one character will lead to increase in second

(ii)  Increase in the value of one character will lead to decrease in second

(iii)  Increase in the value of one character will lead to decrease in second

(iv)  Association between two characters is high


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4.** If the value of *r* is negative, it indicates


(i)  Increase in the value of one character will lead to increase in second

(ii)  Increase in the value of one character will lead to decrease in second

(iii)  Association between two characters is high

(iv)  Two characters are independent (i.e. uncorrelated)


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5.** If the value of *r* is positive, it indicates


(i)  Increase in the value of one character will lead to decrease in second

(ii)  Increase in the value of one character will lead to increase in second

(iii)  Two characters are independent (i.e. uncorrelated)

(iv)  Association between two characters is high


6.** If the value of *rg* > *rp* indicates (where *rg* = genotypic correlation coefficient and *rp* = phenotypic correlation coefficient)


(i)  Association between two characters is high due to favorable influence of particular environment

(ii)  Association between two characters is due to both genotype and environment

(iii)  Association between two characters is due to environment

(iv)  Strong association between two characters is due to favorable environment


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7.** If the value of *rp*, *rg* indicates (where *rp* = phenotypic correlation coefficient and *rg* = genotypic correlation coefficient)


(i)  Association between two characters is high due to favorable influence of particular environment

(ii)  Association between two characters is due to environment

(iii)  Strong association between two characters is due to both genotype and environment

(iv)  Two characters are independent


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8.** If value of *r* is zero, it indicates


(i)  Two characters are independent

(ii)  Two characters are uncorrelated

(iii)  There is no linear relationship between two characters

(iv)  All of these


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9.** If the value of *rp* and *rg* are insignificant, it indicates


(i)  Two characters are independent

(ii)  Two characters are uncorrelated

(iii)  Strong association between two characters is due to both genotype and environment

(iv)  Strong association between two characters is high due to favorable influence of particular environment

(v)  All of these


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