Redirigiendo al acceso original de articulo en 20 segundos...
Inicio  /  Ciência da Madeira  /  Vol: 10 Núm: 2 Par: 0 (2019)  /  Artículo
ARTÍCULO
TITULO

The use of ITS region as a tool for wood identification in Brazil: A case study of a tree from the genus Hovenia sp.

Felipe Zatt Schardosin    
Pedro Henrique Gonzalez Cademartori    
Simone Ribeiro Morrone    
Graciela Inés Bolzon de Muñiz    
Silvana Nisgoski    

Resumen

The knowledge of botanical identity of wood allows its adequate application as raw material in the industry and has importance related to deterring the illegal trade in protected species. This paper reports the species identification of seizedlogs, based on anatomical characteristics and ITS (Internal Transcribed Spacer) region. Three wood samples came from an apprehension in deforestation in Paraná State, Brazil, by the Federal Police, resulting from actions to combat illegal logging. First anatomical identification was done based on the macroscopic and microscopic characteristics of material. After, DNA extraction was done with the DNeasy Mericon Food Kit® with some adaptation. Wood presented growth rings distinct, semiring porous, vessels solitary predominant, in radial multiples of 2-3, occasionally clustered, without deposits in vessels, axial parenchyma unilateral and vasicentric, tending to lozenge-aliform, confluent and in marginal bands, heterogeneous rays, uniseriate and multiseriate, not storied, fibers thin to thick-walled, non-septate and was identified as from genus Hovenia. ITS1 region resulted in the same genus and allowed the identification of the seized sample, which is an exotic and invader species that can be explored.

 Artículos similares

       
 
Fan Zhang, Junming Zhang, Qifeng Li, Yang Yang and Yunyan Sheng    
Soil salinization is one of the main problems faced by modern agricultural production, especially cucumber production. This study screened the salt?alkali-tolerant cultivar ?D1909? and the salt?alkali-sensitive cultivar ?D1604? from 32 different cucumber... ver más
Revista: Agronomy

 
Kaiwen Ji, Qiaoyun Hou, Yi Yu and Dan Pan    
Reducing carbon emissions is of paramount importance to the accomplishment of the 2030 Sustainable Development Goals. The effect of rural e-commerce on agricultural carbon emissions (ACEs) is controversial, and particularly the mechanism behind the effec... ver más
Revista: Agriculture

 
Maksym W. Sitnicki, Nataliia Prykaziuk, Humeniuk Ludmila, Olena Pimenowa, Florin Imbrea, Laura ?muleac and Raul Pa?calau    
The digitalization of the agricultural industry is manifested through the active use of innovative technologies in all its areas. Agribusiness owners have to constantly improve their security to meet new challenges. In this context, the existing cyber ri... ver más
Revista: Agriculture

 
Huizhong Xiong, Xiaotong Gao, Ningyi Zhang, Haoxiong He, Weidong Tang, Yingqiu Yang, Yuqian Chen, Yang Jiao, Yihong Song and Shuo Yan    
A novel deep learning model, DiffuCNN, is introduced in this paper, specifically designed for counting tobacco lesions in complex agricultural settings. By integrating advanced image processing techniques with deep learning methodologies, the model signi... ver más
Revista: Agriculture

 
Nina Kunc, Metka Hudina, Gregor Osterc and Mariana Cecilia Grohar    
The aim of our study was to determine how the content and composition of volatile organic compounds (VOCs) change with crossbreeding. We included three autochthonous Slovenian species of roses (R. pendulina, R. spinosissima, and R. gallica) and several c... ver más
Revista: Agriculture