Rubiene Neto Soares, Ronaldo Oliveira dos Santos, Róbson Borges de Lima, Breno Marques da Silva e Silva
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For the grouping, the Jaccard coefficient and the technique 1Laboratório de Análise de Sementes Florestais, Universidade do Estado do Amapá, Macapá, AP, Brasil. 2Laboratório de Manejo Florestal, Universidade do Estado do Amapá, Macapá, AP, Brasil. 3Laboratório de Manejo Florestal, Universidade do Estado do Amapá, Macapá, AP, Brasil. 4Laboratório de Análise de Sementes Florestais, Universidade do Estado do Amapá, Macapá, AP, Brasil. Acta Ambiental Catarinense – Unochapecó Soares et al., (2021) DOI: http://dx.doi.org/10.24021/raac.v18i1.5586 Vol. 18, N. 1 (2021) 269 of classification by means of groups (UPGMA) were used. The characteristics of fruits and seeds proved to be quite efficient in differentiating and classifying species at the level of subfamily and genus. The use of seedling characteristics in similarity analysis proved to be more efficient in studies considering the grouping at the level of genera following a previous standardization. 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引用次数: 0
摘要
本研究的目的是通过对豆科植物果实、种子和幼苗的形态计量特征,验证在低地森林中建立豆科植物分类分组的可行性。用于分析的物种选择是基于在amapap州进行的植物社会学研究。然后,对每个物种的果实、种子和幼苗的形态特征进行了书目调查,这些资料可在科学期刊上找到,此外还咨询了植物标本馆的枯茎。考虑到物种间最常见的特征,仅使用41个特征进行聚类分析。对于分组,Jaccard系数和技术1Laboratório de Análise de Sementes florestis, Universidade do Estado do amap, macap,美联社,巴西2Laboratório de Manejo Florestal, Universidade do Estado do amap, macap,美联社,巴西3Laboratório de Manejo Florestal, Universidade do Estado do amap, macap,美联社,巴西4Laboratório de Análise de Sementes florestis, Universidade do Estado do amap, macap,美联社,巴西Acta Ambiental Catarinense - Unochapecó Soares et al., (2021) DOI: http://dx.doi.org/10.24021/raac.v18i1.5586 Vol. 18, N. 1(2021) 269采用分组分类(UPGMA)。果实和种子的特征被证明是在亚科和属水平上对物种进行区分和分类的有效依据。在以往标准化后考虑属水平分组的研究中,使用幼苗特征进行相似性分析被证明是更有效的。因此,可以理解,在自然环境中对物种进行正确的形态描述,可以进行属或亚科之间的分类和分化分析,与使用遗传分析的研究相比,这最终成为一种低成本的方法。
ANÁLISE DE AGRUPAMENTO BASEADO EM CARACTERÍSTICAS MORFOLÓGICAS DE LEGUMINOSAS DE VÁRZEA COM FINS TAXONÔMICOS
The objective of this study was to verify the feasibility of a taxonomic grouping of tree species in the lowland forest of the Leguminosae family through the morphometric characteristics of the fruit, seed and seedlings. The species selections for the analyzes were based on phytosociological studies carried out in the state of Amapá. Then, a bibliographic survey was carried out regarding the morphometric characteristics of fruit, seed and seedling for each species, available in scientific journals, in addition to consultations with exsiccates in the herbariums. Only 41 characters were used for cluster analysis, considering those most present among species. For the grouping, the Jaccard coefficient and the technique 1Laboratório de Análise de Sementes Florestais, Universidade do Estado do Amapá, Macapá, AP, Brasil. 2Laboratório de Manejo Florestal, Universidade do Estado do Amapá, Macapá, AP, Brasil. 3Laboratório de Manejo Florestal, Universidade do Estado do Amapá, Macapá, AP, Brasil. 4Laboratório de Análise de Sementes Florestais, Universidade do Estado do Amapá, Macapá, AP, Brasil. Acta Ambiental Catarinense – Unochapecó Soares et al., (2021) DOI: http://dx.doi.org/10.24021/raac.v18i1.5586 Vol. 18, N. 1 (2021) 269 of classification by means of groups (UPGMA) were used. The characteristics of fruits and seeds proved to be quite efficient in differentiating and classifying species at the level of subfamily and genus. The use of seedling characteristics in similarity analysis proved to be more efficient in studies considering the grouping at the level of genera following a previous standardization. Thus, it is understood that with the correct morphological description of species in natural environments, it is possible to carry out classification and differentiation analysis between genera or subfamilies, which ends up becoming a lowcost approach compared to studies that use genetic analysis.
期刊介绍:
Acta Informatica provides international dissemination of articles on formal methods for the design and analysis of programs, computing systems and information structures, as well as related fields of Theoretical Computer Science such as Automata Theory, Logic in Computer Science, and Algorithmics.
Topics of interest include:
• semantics of programming languages
• models and modeling languages for concurrent, distributed, reactive and mobile systems
• models and modeling languages for timed, hybrid and probabilistic systems
• specification, program analysis and verification
• model checking and theorem proving
• modal, temporal, first- and higher-order logics, and their variants
• constraint logic, SAT/SMT-solving techniques
• theoretical aspects of databases, semi-structured data and finite model theory
• theoretical aspects of artificial intelligence, knowledge representation, description logic
• automata theory, formal languages, term and graph rewriting
• game-based models, synthesis
• type theory, typed calculi
• algebraic, coalgebraic and categorical methods
• formal aspects of performance, dependability and reliability analysis
• foundations of information and network security
• parallel, distributed and randomized algorithms
• design and analysis of algorithms
• foundations of network and communication protocols.