TCC - Engenharia Florestal (Sede)
URI permanente para esta coleçãohttps://arandu.ufrpe.br/handle/123456789/436
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Item Divergência genética de castanha-do-brasil (Bertholletia excelsa Humb. & Bonpl.) considerando variáveis biométricas de sementes(2021-02-23) Nascimento, Débora Assunção do; Gallo, Ricardo; http://lattes.cnpq.br/5160912065817980; http://lattes.cnpq.br/0763187932321938Studies have shown that with the increase in deforestation, exploitation, and excessive collection in areas of native forests where the populations of the chestnut trees of Bertholletia excelsa would meet, they may cause the disappearance of this species in its natural habitat. Therefore, it is of utmost importance to develop research aimed at factors that can influence the quality and germinative potential of seeds, fruit production and the variability of individual production in different matrix trees, in order to define the areas of seed collections with the intention Brazil nuts may be introduced in commercial plantations in the future. The present study aimed to verify the genetic divergence between genotypes of Bertholletia excelsa in three different origins in the Northern Region of Mato Grosso, Amazonian Forest, Brazil, based on the biometric characteristics of the seeds. The fruits and seeds of Bertholletia excelsa were collected in the municipality of Paranaíta, MT. A total of 1,515 seeds were evaluated for length, width, and thickness with the aid of a digital caliper and the width, thickness and total area of seeds were also evaluated with the ImageJ® Software. After obtaining the data, analysis of variance (ANOVA) was performed, and then the averages of the analyzed characteristics were grouped and compared by the Scott-Knott test at 5% probability. Pearson's linear correlation coefficient (r) was calculated using correlation data (Pachymeter x ImageJ). The mean Euclidean distance, cluster analysis using the method (UPGMA), and canonical variables (VC) were generated to obtain the dissimilarity measures. This study obtained results in which it was possible to verify a wide phenotypic variation, mainly for thickness characteristic in the digital caliper. It is also evident that digital image processing is a great tool to verify the existence of genetic divergence in seeds for selection of matrix trees. Thus, the species under study has excellent qualities to be used as a seed collection area, as well as in genetic breeding programs for non-wood forest products.Item Diversidade genética de Schizolobium parahyba var. Amazonicum via biometria de sementes(2019-12-05) Oliveira, Divani de Carvalho; Gallo, Ricardo; http://lattes.cnpq.br/5160912065817980; http://lattes.cnpq.br/4412602011492691Morphometric analyzes in forest seeds can generate relevant information that help in breeding programs, indicating genetic variability among individuals of the same species. Knowing the genetic characteristics of parica seeds (Schizolobium parahyba var. Amazonicum (Huber ex Ducke) Barneby) helps in choosing materials with desirable characteristics to be used in breeding programs, seeking to obtain greater productive potential and may contribute to the advancement of breeding genetic of the species. The objective of this study was to characterize genetic diversity by biometric seed evaluation of S. parahyba var. amazonicum. The seeds were collected in the municipality of Paranaita, Mato Grosso, in forest fragments. Subsequently, 424 seeds from the 6 mother trees were analyzed. The characteristics evaluated were length, width, thickness and weight. The analysis of variance was performed on the collected data and the averages were compared with each other by the Scott-Knott clustering test at the 5% probability level. Genetic dissimilarity was verified by the generalized Mahalanobis distance using the Unweighted Pair Group Mean Average (UPGMA) method, Tocher optimization, canonical variables (VC) and character importance. The results showed great genotypic diversity for the evaluated seeds (especially seed thickness and width), and it was possible to group the mother trees. The result of cluster analysis based on the generalized distance of Mahalanobis (D2) by the Tocher optimization method, showed the formation of two distinct groups, such result reveals a great genetic diversity among the studied genotypes. According to the selective accuracy, it was possible to verify that the methodology used was adequate and of very high selective accuracy. Thus, it was verified that the parica matrices have great potential for use in breeding programs and to highlight seed collection areas.