Literature DB >> 33797894

Use of Herbarium Voucher Specimens To Investigate Phytochemical Composition in Poisonous Plant Research.

Daniel Cook1, Stephen T Lee1, Dale R Gardner1, Russell J Molyneux2, Robert L Johnson3, Charlotte M Taylor4.   

Abstract

Poisonous plants cause large losses to the livestock industry through death, reduced production efficiency, reproductive dysfunction, and compromised harvesting of rangeland and pasture forages. Research investigating poisonous plants is complex because there are hundreds of genera of toxic plants representing thousands of species. To investigate the effects of poisonous plants on livestock, a clear understanding of the taxonomic identity of the plant and the ability to collect the plant in sufficient quantities for scientific studies is required. Subsequently, the active principles must be defined and investigated in the taxa of interest to better predict risk and make recommendations to reduce losses. Herbaria are collections of preserved plant specimens and are an important resource in poisonous plant research. Voucher specimens have often been used in the identification of the plant for the experimental reproduction of suspected livestock poisoning associated with a spontaneous case. More recently, herbarium specimens have been used to investigate the chemical composition of toxic plants as well as the distribution of different chemotypes over the landscape. The primary purpose of this review is to highlight the chemical analysis of herbarium specimens in poisonous plant research.

Entities:  

Keywords:  alkaloids; herbaria; phytochemicals; poisonous plants; voucher specimens

Year:  2021        PMID: 33797894     DOI: 10.1021/acs.jafc.1c00708

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  1 in total

1.  Phylogenetic Patterns of Swainsonine Presence in Morning Glories.

Authors:  Quynh N Quach; Dale R Gardner; Keith Clay; Daniel Cook
Journal:  Front Microbiol       Date:  2022-05-03       Impact factor: 5.640

  1 in total

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