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    Loss of Superior Genotypes in Early Stages of Sugarcane Varieties Selection in Kenya

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    Date
    2011
    Author
    Wachira, Peter Maina
    Type
    Presentation
    Language
    en
    Metadata
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    Abstract
    Sugarcane selection is used for the identification and release of elite varieties from the original seedling population. In Kenya, only 9 varieties that out-perform the checks have been released since 1980. The varieties are tested in five stages with stage 1 being the original seedlings population consisting of about 35,000 individual seedlings. Moderate selection intensity is performed among families and individual seedlings. This results to about 3,500 (10%) seedlings being selected to stage 2 where the test varieties are tested on a single site single row trial. We hypothesized that the large number of varieties tested in stage 2 results to loss of superior genotypes. To determine the extent of this loss we selected 30 elite varieties from MS 2008 seedling stages for testing in 3 sites on augmented row-column design with single row plot. The 30 elite varieties were also included in stage 2 of the current selection program. Data was analysed and the elites varieties that significantly out-performed the checks were compared with those advanced to stage 3 in the current selection program. The results shows that the current selection method results to loss of superior genotypes since only 4 varieties were advanced to stage 3 out of 12 elite varieties that out-performed the checks. We evaluated analysis of stage 2 data by including data obtained in stage 1 which resulted to improved efficiency with 9 out of 12 elite varieties being selected. We propose the use of Bayesian approach in analysis of sugarcane varieties selection data
    URI
    http://hdl.handle.net/11295/34326
    Citation
    Biometrics by the Blowholes December 4-8, 2011 Australasian Region of The International Biometric Society Kiama, New South Wales, Australi
    Publisher
    Department of Land Resources Management and Agricultural Technology,
    Collections
    • Faculty of Agriculture & Veterinary Medicine (FAg / FVM) [1902]

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