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Differentiation between fiber and drug types of hemp (Cannabis sativa L.) from a collection of wild and domesticated accessions

Academic Article
Publication Date:
2013
abstract:
Accessions of wild and domesticated hemp (Cannabis sativa L.) originating from Colombia, Mexico, California, Bolivia, Thailand, Afghanistan, Serbia, Hungary, south Africa and different regions of China, were studied by means of DNA polymorphisms in order to discriminate between drug and fiber types. Analysis of molecular variance (AMOVA) was used to partition the total genetic variance within and among populations. The significance of the variance components was tested by calculating their probabilities based on 999 random permutations. AMOVA revealed 74 % variation among accessions and 26 % within accessions, all AMOVA variation was highly significant (P < 0.001). The cluster analysis of molecular data, grouped accessions into eight clusters and gave a matrix correlation value of r = 0.943, indicating a very good fit between the similarity values implied by the phenogram and those of the original similarity matrix. In this study, DNA polymorphisms could discriminate the fiber and drug types, and accessions were grouped in accordance to their classification and uses. In addition, seed size variation and micromorphological characters of seeds were studied by means of a scanning electron microscope (SEM). Seeds varied significantly in size, and were bigger in the fiber types. SEM analysis exhibited variation of micromorphological characters of seeds that could be important for discriminating the fiber or drug types.
Iris type:
01.01 Articolo in rivista
Keywords:
Cannabis sativa; DNA polymorphisms; Drug type; Fiber type; Seeds; SEM
List of contributors:
Delogu, GIOVANNA MARIA; Piluzza, GIOVANNA ANTONIA MARIA; Bullitta, SIMONETTA MARIA; Marceddu, Salvatore
Authors of the University:
MARCEDDU SALVATORE
PILUZZA GIOVANNA ANTONIA MARIA
Handle:
https://iris.cnr.it/handle/20.500.14243/201299
Published in:
GENETIC RESOURCES AND CROP EVOLUTION (PRINT)
Journal
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URL

http://link.springer.com/article/10.1007%2Fs10722-013-0001-5
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