Question:
Statistical analysis for determining the adaptability of genotypes in different environment is
Statistical analysis for determining the adaptability of genotypes in different environment is
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In stability analysis (Eberhart and Russell model), an ideal, highly adaptable genotype is one with:
- A high mean yield.
- A regression coefficient ($b_i$) close to 1.0 (average sensitivity).
- Deviation from regression ($s^2d_i$) close to 0 (high predictability).
- A high mean yield.
- A regression coefficient ($b_i$) close to 1.0 (average sensitivity).
- Deviation from regression ($s^2d_i$) close to 0 (high predictability).
Updated On: Jul 23, 2026
- Correlation analysis
- Line $\times$ Tester
- $\text{D}^2$ Mahalanobis
- Stability analysis
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The Correct Option is D
Solution and Explanation
Step 1: Understanding the Concept:
In plant breeding, genotypes often perform differently when grown across various locations, seasons, or soil types.
This interaction is called Genotype $\times$ Environment (G $\times$ E) interaction.
To identify crop varieties that perform consistently across different conditions, breeders use specialized statistical tools.
Step 2: Detailed Explanation:
Let us evaluate each of the listed statistical methods:
1. Correlation analysis:
This measures the linear relationship between two variables, but it cannot assess how a genotype adapts to different environments.
Thus, Option (A) is incorrect.
2. Line $\times$ Tester analysis:
This mating design is used to evaluate the combining ability of parents (general and specific combining ability) and estimate genetic components of variance.
Thus, Option (B) is incorrect.
3. $\text{D^2$ Mahalanobis:}
This multivariate statistical tool is used to measure genetic divergence among different populations or genotypes to help select parents for hybridization.
Thus, Option (C) is incorrect.
4. Stability analysis:
This method (such as the models proposed by Finlay and Wilkinson, or Eberhart and Russell) is designed to evaluate G $\times$ E interactions.
It measures a genotype's performance across multiple environments to determine its stability and adaptability.
A stable genotype is one that shows minimal variation in yield or performance across different environments.
Step 3: Final Answer:
The statistical analysis used to determine the adaptability of genotypes in different environments is Stability analysis.
This matches Option (D).
In plant breeding, genotypes often perform differently when grown across various locations, seasons, or soil types.
This interaction is called Genotype $\times$ Environment (G $\times$ E) interaction.
To identify crop varieties that perform consistently across different conditions, breeders use specialized statistical tools.
Step 2: Detailed Explanation:
Let us evaluate each of the listed statistical methods:
1. Correlation analysis:
This measures the linear relationship between two variables, but it cannot assess how a genotype adapts to different environments.
Thus, Option (A) is incorrect.
2. Line $\times$ Tester analysis:
This mating design is used to evaluate the combining ability of parents (general and specific combining ability) and estimate genetic components of variance.
Thus, Option (B) is incorrect.
3. $\text{D^2$ Mahalanobis:}
This multivariate statistical tool is used to measure genetic divergence among different populations or genotypes to help select parents for hybridization.
Thus, Option (C) is incorrect.
4. Stability analysis:
This method (such as the models proposed by Finlay and Wilkinson, or Eberhart and Russell) is designed to evaluate G $\times$ E interactions.
It measures a genotype's performance across multiple environments to determine its stability and adaptability.
A stable genotype is one that shows minimal variation in yield or performance across different environments.
Step 3: Final Answer:
The statistical analysis used to determine the adaptability of genotypes in different environments is Stability analysis.
This matches Option (D).
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