The role of an efficient characterization of plant extracts for breeding and the transition from wild collection to controlled cultivation

Authors

  • Roland Geyer lifespin GmbH, Am Biopark 13, 93053 Regensburg
  • Fred Eickmeyer ESKUSA GmbH, Bogener Str. 24, 94365 Parkstetten
  • Michael Rettig lifespin GmbH, Am Biopark 13, 93053 Regensburg
  • Steffen Heelemann lifespin GmbH, Am Biopark 13, 93053 Regensburg
  • renate Kirchhöfer lifespin GmbH, Am Biopark 13, 93053 Regensburg

DOI:

https://doi.org/10.5073/jka.2018.460.020

Keywords:

domestication, elite selection, NMR, high-throughput phenotyping

Abstract

The cultivation of not yet well-established medicinal and herbal plants faces the following dilemma: On the one hand there is an increasing demand for goods from controlled, documented, verifiable, domestic cultivation and an increase in the acreage of these species is politically desired. On the other hand, the cultivated product is compared in price, depending on the supply situation, with the price of the product from wild collections. Usually, this results in the use of the cheaper wild collected goods.
As a result, the continuous supply of raw material from controlled cultivation to the processing plants collapses time and again as growers can not rely on prices and acceptance. The solution to this dilemma is either to wait with the cultivation until the wild collections fail or the quality of the material to be grown is clearly differentiated from the wild collection.
Based on two examples, Arnica (Arnica montana L.) and Russian Dandelion (Taraxacum kok-saghyz L.E.Rodin), is demonstated that - starting from the wild material - high breeding progress can be achieved in the first selection cycles. A necessary precondition is, that the goals are clearly defined and that there is sufficient capacity available to analyze output traits and lead ingredients. Such can be realized for example by means of modern nuclear magnetic resonance (NMR) analysis techniques with appropriate software-based data analysis and will be discussed below.

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Published

2018-12-20