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  • 1
    Electronic Resource
    Electronic Resource
    Structure of the specific combining ability between two species of Eucalyptus.II. A clustering approach and a multiplicative model (1997)
    Springer
    Theoretical and applied genetics 94 (1997), S. 804-809 
    Details
    ISSN: 1432-2242
    Keywords: Key words Analysis of interaction ; Heterosis breeding ; Clustering procedure ; AMMI model ; Eucalyptus
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract  The Eucalyptus breeding program of URPPI (a partnership between CIRAD-Forêt, Centre National de la Recherche Forestière du Congo, and Unité d’Aforestation Industrielle du Congo) consists of a reciprocal recurrent selection scheme developed in the Congo between the two species Eucalyptus urophylla and Eucalyptus grandis. Two approaches are proposed in order to model and predict the specific combining ability (SCA) between these species. The clustering approach uses a simultaneous clustering procedure of the two species based on SCA and reveals heterotic groups coherent with the geographical origins of E. urophylla genotypes. The second approach uses a multiplicative model to partition the SCA into three multiplicative terms explaining 95% of the interaction.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/s001220050481
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  • 2
    Electronic Resource
    Electronic Resource
    Structure of the specific combining ability between two species of Eucalyptus.I. RAPD data (1997)
    Springer
    Theoretical and applied genetics 94 (1997), S. 796-803 
    Details
    ISSN: 1432-2242
    Keywords: Key words RAPD ; Genetic distances ; Heterosisbreeding ; Prediction ; Eucalyptus ; Interaction
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract  Within the context of the reciprocal recurrent selection scheme developed in 1989 by CIRAD-Forêt on Eucalyptus, RAPD essays were performed to assess the genetic diversity in the two species E. urophylla and E. grandis. The molecular markers were split into two parts: the specific markers (present with different frequencies in the two species) and the common markers (present with similar frequencies in the two species). The study analyses the structure of genetic diversity within and between the two species of Eucalyptus. Different genetic distances are worked out for use in prediction equations of the individual tree trunk volume of hybrids at 38 months. Each distance is expressed as the sum of the general genetic distance and the specific genetic distance. The general genetic distance based on the double presence plus the double absence of bands seems to be an interesting co-variate to use in a factor regression model. Through this model the distance calculated between species explains the general combining ability (GCA) and the specific combining ability (SCA) of the phenotypic character with a global coefficient of determination of 81.6%.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/s001220050480
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  • 3
    Electronic Resource
    Electronic Resource
    Factor regression for interpreting genotype-environment interaction in bread-wheat trials (1992)
    Springer
    Theoretical and applied genetics 83 (1992), S. 1022-1026 
    Details
    ISSN: 1432-2242
    Keywords: Wheat ; Genotype-environment interaction ; Prediction ; Yield trials ; Factor regression
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary The French INRA wheat (Triticum aestivum L. em Thell.) breeding program is based on multilocation trials to produce high-yielding, adapted lines for a wide range of environments. Differential genotypic responses to variable environment conditions limit the accuracy of yield estimations. Factor regression was used to partition the genotype-environment (GE) interaction into four biologically interpretable terms. Yield data were analyzed from 34 wheat genotypes grown in four environments using 12 auxiliary agronomic traits as genotypic and environmental covariates. Most of the GE interaction (91%) was explained by the combination of only three traits: 1,000-kernel weight, lodging susceptibility and spike length. These traits are easily measured in breeding programs, therefore factor regression model can provide a convenient and useful prediction method of yield.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00232967
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  • 4
    Electronic Resource
    Electronic Resource
    Analysing genotype by environment interaction in Dutch potato variety trials using factorial regression (1995)
    Springer
    Euphytica 82 (1995), S. 149-155 
    Details
    ISSN: 1573-5060
    Keywords: AMMI ; biadditive model ; factorial regression ; multiplicative interaction ; potato ; variety trials ; Solanum tuberosum
    Source: Springer Online Journal Archives 1860-2000
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Notes: Summary Genotype by environment interaction was investigated for yield data from the official Dutch Variety List trials for potato. The data set included 64 genotypes by 26 environments, where environments consisted of year by soil type combinations. Factorial regression models incorporating genotypic and environmental covariates in the interaction were used to analyse the data. The merits of factorial regression models were compared with those of biadditive models. Factorial regression models and biadditive models described comparable amounts of interaction, but factorial regression models provided a better basis for biological interpretation of the interaction.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00027061
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  • 5
    Electronic Resource
    Electronic Resource
    Analysing genotype by environment interaction in Dutch potato variety trials using factorial regression (1995)
    Springer
    Euphytica 84 (1995), S. 23-29 
    Details
    ISSN: 1573-5060
    Keywords: AMMI ; biadditive model ; factorial regression ; multiplicative interaction ; potato ; variety trials ; Solanum tuberosum
    Source: Springer Online Journal Archives 1860-2000
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Notes: Summary Genotype by environment interaction was investigated for yield data from the official Dutch Variety List trials for potato. The data set included 64 genotypes by 26 environments, where environments consisted of year by soil type combinations. Factorial regression models incorporating genotypic and environmental covariates in the interaction were used to analyse the data. The merits of factorial regression models were compared with those of biadditive models. Factorial regression models and biadditive models described comparable amounts of interaction, but factorial regression models provided a better basis for biological interpreration of the interaction.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01677553
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  • 6
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    Genetic Relationships and Fingerprinting of Rapeseed Cultivars by AFLP: Consequences for Varietal Registration (2000)
    Wiley
    Details
    Publication Date: 2000-09-01
    Print ISSN: 0011-183X
    Electronic ISSN: 1435-0653
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Published by Wiley
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