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  • Solanum tuberosum  (2)
  • Bayesian networks  (1)
  • Springer  (3)
  • American Physical Society
  • Oxford University Press
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Publisher
  • Springer  (3)
  • American Physical Society
  • Oxford University Press
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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Theoretical and applied genetics 73 (1987), S. 744-750 
    ISSN: 1432-2242
    Keywords: Genetic manipulation ; Neomycin phosphotransferase ; Mixed infection ; Somaclonal variation ; Solanum tuberosum
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary Derivatives of potato (Solanum tuberosum cv.'s ‘Maris Bard’ and ‘Desiree’) transformed with disarmed T-DNA from genetically engineered Agrobacterium tumefaciens strains were isolated. The transformed plants were recovered from shoot-forming tumours induced by infection of wounds with mixedcultures of shoot-inducing A. tumefaciens strains T37 and either Agrobacterium strain LBA1834(pRAL1834), (Hille et al. 1983) or LBA4404(pBIN6; pRAL4404), (Bevan 1984). Two small-scale feasibility experiments gave at least four ‘Maris Bard’ plants transformed with pRAL1834 T-DNA and two ‘Desiree’ plants with pBIN6 T-DNA. The transformed ‘Maris Bard’ plants were morphologically abnormal and highly aneuploid. This was probably an unfortunate side-effect of a tissue culture-step introduced to promote the efficiency of shoot regeneration. The transformed ‘Desiree’ plants, in contrast, were isolated without promoting additional shoot-growth. They were morphologically normal, contained 47 and the euploid 48 chromosomes per cell respectively and had improved growth on media containing kanamycin.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Applied intelligence 13 (2000), S. 19-40 
    ISSN: 1573-7497
    Keywords: Bayesian networks ; machine learning ; waste water treatment plants
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract Bayesian Networks have been proposed as an alternative to rule-based systems in domains with uncertainty. Applications in monitoring and control can benefit from this form of knowledge representation. Following the work of Chong and Walley, we explore the possibilities of Bayesian Networks in the Waste Water Treatment Plants (WWTP) monitoring and control domain. We show the advantages of modelling knowledge in such a domain by means of Bayesian networks, put forth new methods for knowledge acquisition, describe their applications to a real waste water treatment plant and comment on the results. We also show how a Bayesian Network learning environment was used in the process and which characteristics of data in the domain suggested new ways of representing knowledge in network form but with uncertainty representations formalisms other than probability. The results of applying a possibilistic extension of current learning methods are also shown and compared.
    Type of Medium: Electronic Resource
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  • 3
    ISSN: 1573-5028
    Keywords: Agrobacterium rhizogenes ; Solanum tuberosum ; T-DNA ; gene expression ; tuberisation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary Expression of TL-DNA from Agrobacterium rhizogenes plasmid pRi 1855 was examined in a transformed derivative of Solanum tuberosum cv. Desiree, D9X8a. Northern blot analysis identified at least nine TL-DNA coded transcripts in roots, shoots and tubers but their relative abundance differed within and between organs. This revealed a distinctive pattern of organ specified differential expression. Grafting experiments showed that the abnormal shape of tubers of transformed potato was probably determined by TL-DNA products synthesised within the tuber and not by diffusable products synthesised in other parts of the plant. The abundance of at least one transcript, tr5, was probably determined by culture conditions. Implications for functions and control of expression of Ri TL-DNA genes are discussed. It is suggested that Ri TL-DNA provides a convenient and extensive set of model genes to study variation and stability of expression of linked foreign genes introduced into plants.
    Type of Medium: Electronic Resource
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