The aim of this study was to estimate the genetic parameters of Ormosia excelsa seeds based on germination traits, at different temperatures, in order to facilitate the selection of superior varieties of seeds for producing seedlings. Twenty six progenies collected in the municipality of Autazes (state of Amazonas, Brazil) were evaluated. The experiment was completely randomized, with four replications and 25 seeds per plot, totaling 100 seeds per progeny. The germination rate, mean germination time and the synchronization and speed germination indexes were determined at the temperatures of 30 and 35 °C. Seedling development was also evaluated under nursery conditions. The progenies of O. excelsa showed significant genetic variability for all traits. Both temperatures proved to be effective in producing germination close to 87%. Germination began between 1 and 4 days after sowing. However, for greater efficiency in the selection of superior progenies, each environment should be considered individually. The high heritability values obtained (> 65%) and the high genetic correlation favorable for selection, among all traits, resulted in significant gains according to the selection process used. Our results indicated that determining superior progenies for height and number of leaves was possible based on a single evaluation. The fact that 100% of seedlings planted in the field survived promotes a promising outlook to set up commercial nurseries for the species.
/agrariacad Efeito de diferentes volumes e tipos de recipientes no crescimento inicial de mudas de Ormosia excelsa Benth. Effect of different volumes and types of containers in growth seedlings initial Ormosia excelsa Benth.
Stryphnodendron pulcherrimum is a species used medicinally among traditional Amazonian communities for its bactericidal activity and anti-inflammatory properties. Despite being adapted to rustic environments, there is no information regarding how climate change might affect the species occurrence. The present study aimed to evaluate the natural distribution of S. pulcherrimum in the current period and how its potential geographic distribution may be affected in response to future climate change scenarios in Brazilian phytogeographic domains. A total of 19 bioclimatic variables were used from the WorldClim database. Four algorithm models (Climate Space Model, Envelope Score, Niche Mosaic and Environmental Distance - present) and one software (Open Modeller - future) were used to verify the potential occurrence of S. pulcherrimum in five Brazilian domains (Amazon, Cerrado, Caatinga, Atlantic Forest and Pantanal) and three intervals (2009-2019 - present; 2020-2050 and 2051-2070 - future). There were losses of areas favorable to the occurrence of S. pulcherrimum in the Amazon, Cerrado and Pantanal, and global climate change may affect its natural distribution especially in the Atlantic Forest and Amazon. In the Amazon, the species may be totally extinct, in the worst scenario, by 2070.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.