Practical Applications of Manipulating Plant Architecture by Regulating Gibberellin Metabolism View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2010-06

AUTHORS

Anjanabha Bhattacharya, Sofia Kourmpetli, Michael R. Davey

ABSTRACT

The international trade in floriculture is estimated to be worth about US$150 billion, with the global demand for ornamentals steadily increasing. Consumer choice is influenced by factors such as plant architecture and flower colour. Conventional breeding has been responsible for the introduction of novel traits into ornamental plants and has played an important role in the development of new cultivars. However, a restricted gene pool and failure of distant crosses have led to the exploitation of somatic cell techniques, particularly genetic transformation, to generate plants with desirable traits. Gibberellins (GAs) are endogenous plant hormones that control key aspects of growth and development. Chemical growth regulators that modify GA biosynthesis are used extensively in horticulture to control plant stature, increasing production costs, manpower, and environmental risks. An alternative strategy involves genetic manipulation of GA metabolism to induce phenotypic changes, particularly alteration of stature. Because ornamentals are not used for human consumption, genetic manipulation approaches with these plants may be more acceptable in the immediate future to the general public, in certain parts of the world, than genetically manipulated food crops. More... »

PAGES

249-256

Journal

TITLE

Journal of Plant Growth Regulation

ISSUE

2

VOLUME

29

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00344-009-9126-3

DOI

http://dx.doi.org/10.1007/s00344-009-9126-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1032602755


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00344-009-9126-3'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00344-009-9126-3'

Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00344-009-9126-3'


 

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