Complex segregation analysis of Gerbera flower colour

Tourjee, Kenneth R.; Harding, James; Byrne, T.

doi:10.1038/hdy.1995.44

Cited by 8 publications

(3 citation statements)

References 23 publications

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“…Two objective measurements in CIELAB color space (Commission Internationale de l'Eclairage, 1978) were obtained for each fruit with a CR-100 colorimeter (Minolta, Ramsey, N.J.). The CR-100 colorimeter measures the red, green, blue and total amount of light reflected from an object using an 8mm-diameter measuring area, a d/0° illuminating and viewing geometry, and illuminant C. CIELAB has been used for objective color measurements of horticultural commodities such as gerbera (Gerbera jamesonii H. Bolus ex Hooker) flowers (Tourjee et al, 1995) and strawberry (Fragaria xananassa Duch.) fruit (Sacks and Shaw, 1994).…”

Section: Plant Materialsmentioning

confidence: 99%

Genetic and Environmental Variation for Tomato Flesh Color in a Population of Modern Breeding Lines

Sacks¹,

Francis²

2001

jashs

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The genetic and environmental variation for flesh color of tomato (Lycopersicon esculentum Mill.) fruit was quantified using 41 red-fruited breeding lines, open-pollinated cultivars, and hybrids that are representative of the diversity of tomatoes grown for whole-peel processing in the midwestern and eastern United States and Ontario, Canada. Objective color measurements were made for 2 years from replicated experiments with 2 to 4 blocks per year. Genotypes differed significantly in lightness value (L*), saturation (chroma), and hue angle. Variation within fruit and among fruit in plots accounted for more than 75% of the environmental variation for the color traits. The crimson locus (ogc) accounted for less than one-third of the variation in fruit color among genotypic means, and explained 18% to 27% of the genotypic variation for L*, chroma, and hue. Estimates of variance components were used to develop sampling strategies for improving selection efficiency. Genotypes were identified that may be useful for studying genetic differences that lead to quantitative variation for fruit color in red-fruited populations of tomato.

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Section: Plant Materialsmentioning

confidence: 99%

Genetic and Environmental Variation for Tomato Flesh Color in a Population of Modern Breeding Lines

Sacks¹,

Francis²

2001

jashs

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“…Their distributions in the Davis population of gerbera indicate that they are continuous variables (Tourjee et a!., 1993). The variability described by these distributions is largely under genetic control (Tourjee et a!., 1995) and subject to selection. Therefore, these component traits permit the precise definition of colour phenotypes and are amenable to the procedures of biometrical genetics.…”

Section: Introductionmentioning

confidence: 99%

Interpretation of a selection plateau through complex segregation analysis: Euclidean distance index selection for flower colour in the Davis population of Gerbera

1995

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Two cycles of recurrent phenotypic selection with a weighted Euclidean distance index based on flower colour were applied to individual plants sampled from the Davis population of gerbera (Gerberajamesonii H. Bolus ex Hooker). The index (I) included CIELAB (1976) variables hue (H), chroma (C) and value (L). The narrow-sense heritability (h2) for I in cycle 0 was estimated at more than 1.0 by half-sib family means and consequently overestimated the selection response. However, the genetic variance was exhausted after two cycles of selection and genetic correlations among the component traits of the index became increasingly positive. Complex segregation analysis (CSA) of index scores in the Davis population supports a mixed Mendelian model with a completely dominant segregating major gene accounting for 20 per cent of the phenotypic variance. This model estimates h2 =0.9 for land is discussed as it pertains to the effects of selection on the genetic parameters of the selected population.

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“…This method has been applied successfully to major gene detection in many plant species (Wang and Gai, 1997;Wang et al, 2001). Other approaches, such as complex segregation analysis (which takes advantage of transmission information from traits within pedigrees), have been widely used in humans and animals and have been extended to plant studies (Tourjee et al, 1995;Aulchenko et al, 1999). A major limitation of phenotypebased segregation analysis, however, is that it lacks sufficient statistical power to detect genes with relatively low heritability.…”

Section: Introductionmentioning

confidence: 99%

Multivariate segregation analysis for quantitative traits in line crosses

Xiao

Wang

et al. 2007

Heredity

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Segregation analysis is a method of detecting major genes for quantitative traits without using marker information. It serves as an important tool in helping investigators to plan further studies such as quantitative trait loci mapping or more sophisticated genomic analyses. However, current methods of segregation analysis for a single trait typically have low statistical power. We propose a multivariate segregation analysis (MSA) that takes advantage of the correlation structure of multiple quantitative traits to detect major genes. This method not only increases the statistical power, but allows dissection of the genetic architecture underlying the trait complex. In MSA the observed phenotypes of multiple correlated traits are fitted to a multivariate Gaussian mixture model. Model parameters are estimated under the maximum likelihood framework via the expectationmaximization algorithm. The presence of major genes is tested using likelihood ratio test statistics. Pleiotropy is distinguished from close linkage by comparing three possible models using the Bayesian information criterion. Two simulation experiments were performed based on the F 2 mating design. In the first, the statistical properties of MSA under varying heritabilities and sample sizes were investigated and the results compared with those obtained from single-trait analysis. In the second simulation the efficacy of MSA in separating pleiotropy from close linkage was demonstrated. Finally, the new method was applied to real data and detected a major gene responsible for both plant height and tiller number in rice.

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Complex segregation analysis of Gerbera flower colour

Cited by 8 publications

References 23 publications

Genetic and Environmental Variation for Tomato Flesh Color in a Population of Modern Breeding Lines

Genetic and Environmental Variation for Tomato Flesh Color in a Population of Modern Breeding Lines

Interpretation of a selection plateau through complex segregation analysis: Euclidean distance index selection for flower colour in the Davis population of Gerbera

Multivariate segregation analysis for quantitative traits in line crosses

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