1966
DOI: 10.2135/cropsci1966.0011183x000600010011x
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Stability Parameters for Comparing Varieties1

Abstract: II. STICKLER. F. C. and PAULI, A. W. 1961. Leaf removal in grain' sorghum. I. Effects of certain defoliation treatments on yield and components of yield. Agron. J. 53:99-102. 12. WHITEHEAD,W. L. 1962. The breeding behavior 9f phe)1otypically diverse grain sorghum varieties in hybrid combinations. Ph.D. Thesis.

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Cited by 3,221 publications
(3,603 citation statements)
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“…Since the additive environmental component of this variation is common to all families it must be the genotype-environment interaction part of the variation that is related to performance. Eberhart and Russell (1966), using the analysis of Yates and Cochran (1938), have found such a correlation for several sets of data on yield in single crosses between inbred lines of maize. Similar correlations exist in the present data (table 12).…”
Section: Sincementioning
confidence: 84%
See 1 more Smart Citation
“…Since the additive environmental component of this variation is common to all families it must be the genotype-environment interaction part of the variation that is related to performance. Eberhart and Russell (1966), using the analysis of Yates and Cochran (1938), have found such a correlation for several sets of data on yield in single crosses between inbred lines of maize. Similar correlations exist in the present data (table 12).…”
Section: Sincementioning
confidence: 84%
“…Two main approaches have been used. One is a purely statistical analysis originally proposed by Yates and Cochran (1938) and used by Finlay and Wilkinson (1963) and Eberhart and Russell (1966) to detect and measure the magnitude of genotype-environmental interactions in barley and maize, respectively. The components in this analysis have not been related to parameters in a biometrical genetical model.…”
Section: Introductionmentioning
confidence: 99%
“…The first (Finlay and Wilkinson, 1963;Rowe and Andrew, 1964;Eberhart and Russell, 1966;Breesc, .1969) is a purely statistical approach, whereas the second (Perkins and Jinks, 1968;Baker, 1969) and a third derived from it (Freeman and Perkins, 1971) relate the components in the regression analysis to the basic biometricalgenetical model given by Perkins and Jinks (1968). The definitions of the d and gij parameters in this model (No.…”
Section: Regression Approachesmentioning
confidence: 99%
“…These changes, observable as genotype x environment interactions in a biometrical analysis, have long been recognised as an important source of phenotypic variation (Immer, Hayes and Powers, 1934;Yates and Cochran, 1938;Mather, 1949). Little is known of the inheritance and physiology of these changes, but it has been found empirically that a linear relation frequently exists between phenotype and environment when the latter is measured by its effect on the character under study (Finlay and Wilkinson, 1963;Eberhart and Russell, 1966;Perkins and Jinks, 1968;Breese, 1969). This linear relation usually accounts for most of the variation over environments of a genotype and as a result it is possible to predict its phenotype under further related environmental conditions (Breese, 1969;Jinks and Perkins, 1970).…”
mentioning
confidence: 99%
“…This particular approach, now commonly known as joint regression analysis, has been widely adopted in practice, some applications being given in the list of references. Regression methods were also considered by Rowe and Andrew (1964) and Eberhart and Russell (1966), who added together the sums of squares for environments and GE interactions and repartitioned this. Their partitioning is into a linear component between environments with 1 d.f., a linear component of the GE interaction with (t-1) d.f., and deviations from regression, the deviations being found separately for each of the t genotypes with (s-2) di'.…”
Section: The Use Of Regression Methods In Studying Ge Interactionsmentioning
confidence: 99%