1962
DOI: 10.4141/cjps62-048
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GENE EFFECTS IN CORN (ZEA MAYSL.): I. SEPARATION AND RELATIVE IMPORTANCE OF GENE EFFECTS FOR YIELD

Abstract: A procedure is outlined for the separation, into six parameters, of gene effects affecting genetic variation of a quantitative trait. These parameters represent mean effects, additive and dominance gene effects, and the three types of digenic epistatic effects. Estimates of the parameters are obtained using the population means of two inbred lines, their cross, and descendants due to subsequent selfing and crossing. The relative importance of the different gene effects can be evaluated from the magnitude and s… Show more

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Cited by 213 publications
(175 citation statements)
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“…Broad sense heritability was estimated as h = σ 2 F 2 -σ 2 D/σ 2 F 2 . Gene effect based on a six parameter model was estimated using the nonweighted method as described by Gamble (1962). The number of effective factors controlling resistance was estimated by five methods.…”
Section: Methodsmentioning
confidence: 99%
“…Broad sense heritability was estimated as h = σ 2 F 2 -σ 2 D/σ 2 F 2 . Gene effect based on a six parameter model was estimated using the nonweighted method as described by Gamble (1962). The number of effective factors controlling resistance was estimated by five methods.…”
Section: Methodsmentioning
confidence: 99%
“…Generation means were calculated for each of the 6 generations on an individual plant basis. To determine the mode of inheritance of resistance to FTh, Gamble's (1962) notation was used, where m = F 2 mean, a = additive gene effects, d = dominance gene effects, aa = additive 9 additive epistatic gene effects, ad = additive 9 dominance epistatic gene effects and dd = dominance 9 dominance epistatic gene effects. The model for a generation mean, Y, is:…”
Section: Data Analysesmentioning
confidence: 99%
“…Generation mean analysis (GMA) is one of those biometrical techniques that involves estimation of the magnitude of various genetic effects (additive, dominance and epistatic effects). The estimates of genetic effects can help the plant breeders to decide the breeding procedures better suited for the improvement of trait(s) being analyzed [1] . Generation mean analysis, a biometrical method developed [2] , greatly helps in the estimation of various components of genetic variance.…”
Section: Introductionmentioning
confidence: 99%