Abstract
Phenotypic yield stability is a trait of special interest for plant breeders. Many statistical procedures are available for stability analysis, each of them allowing for different interpretations. The objective of the present study was to determine the degree of correlation among the 13 statistical parameters that can be used for the analysis of phenotypic stability. Such correlations could be used to assess the extent to which these 13 parameters identify unique genetic effects. Yield data were obtained from 12 yield trials involving 76 common bean ( Phaseolus vulgaris L.) genotypes and 12 location‐year production environments in Brazil. The stability statistics were divided in four groups according to the structure from which they were derived. On the basis of rank correlation, it was concluded that (i) there were highly significant correlations between many of the stability statistics (among and within groups) indicating that several of the statistics probably measure similar aspects of phenotypic stability; (ii) mean yields were positively correlated with many of the stability statistics; (iii) there was an association between the Group A statistics (variances and ranges) and the Group C statistics (regression and determination coefficients), and a similar association between the Group B (ecovalence) and Group D (variance of deviations from regression) statistics; (iv) the segmented linear regression coefficient ( b1 i ) was overall the most independent parameter, indicating that the other stability statistics do not satisfactorily reflect genotypic responses in poor environments; (v) the strong correlation between the regression coefficients and the coefficients of determination indicates that the latter are not needed to measure the predictability of the estimated genotypic response; and (vi) the variance of the deviations from regression can provide assessment of the relative contribution of the genotype to the genotype × environment interaction as well as its biological stability.
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Claims 7
Claim · model-written summary
Many stability statistics were highly significantly correlated, suggesting overlap in what they measure.
- Taxon
- Common Bean
Phaseolus vulgarist0 - Material
- stability statisticse0
- Outcome
- correlations between many of the stability statisticse0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“there were highly significant correlations between many of the stability statistics (among and within groups) indicating that several of the statistics probably measure similar aspects of phenotypic stability”
t0“Common Bean”
Claim · model-written summary
Mean yields correlated positively with many stability statistics.
- Taxon
- Common BeanPhaseolus vulgarist0
- Outcome
- mean yieldse0
- Direction
- positively correlatede0
- Comparator
- stability statisticse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“mean yields were positively correlated with many of the stability statistics”
t0“Common Bean”
Claim · model-written summary
Group A and Group C stability statistics were associated.
- Taxon
- Common BeanPhaseolus vulgarist0
- Outcome
- associatione0
- Comparator
- Group C statisticse0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“there was an association between the Group A statistics (variances and ranges) and the Group C statistics (regression and determination coefficients)”
t0“Common Bean”
Claim · model-written summary
Group B and Group D stability statistics were similarly associated.
- Taxon
- Common BeanPhaseolus vulgarist0
- Outcome
- associatione0
- Comparator
- Group De0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“a similar association between the Group B (ecovalence) and Group D (variance of deviations from regression) statistics”
t0“Common Bean”
Claim · model-written summary
The segmented linear regression coefficient was the most independent statistic overall.
- Taxon
- Common BeanPhaseolus vulgarist0
- Outcome
- most independent parametere0
- Comparator
- segmented linear regression coefficiente0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the segmented linear regression coefficient ( b1 i ) was overall the most independent parameter”
t0“Common Bean”
Claim · model-written summary
Strong correlation between regression and determination coefficients indicated the latter were unnecessary for response predictability.
- Taxon
- Common BeanPhaseolus vulgarist0
- Outcome
- predictability of the estimated genotypic responsee0
- Comparator
- regression coefficientse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the strong correlation between the regression coefficients and the coefficients of determination indicates that the latter are not needed to measure the predictability of the estimated genotypic response”
t0“Common Bean”
Claim · model-written summary
Variance of deviations from regression can assess genotype contribution to genotype-by-environment interaction and biological stability.
- Taxon
- Common BeanPhaseolus vulgarist0
- Outcome
- assessment of the relative contribution of the genotype to the genotype × environment interaction as well as its biological stabilitye0
- Comparator
- variance of the deviations from regressione0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the variance of the deviations from regression can provide assessment of the relative contribution of the genotype to the genotype × environment interaction as well as its biological stability.”
t0“Common Bean”