Strong winds that occur can damage the Eucalyptus pellita plant thereby reducing wood production at the end of the rotation. Biometric characteristics are very important to predict the criteria for trees that are at risk of damage due to wind. This study aims to determine the biometric characteristics that play a role in the risk of trees being damaged by wind. The study was conducted on Eucalyptus pellita aged 5 years. The biometric characteristics studied consisted of diameter at breast height (DBH), total height (H) and crown length (CL) as well as the ratio of H/DBH (slenderness inde)x and CL/H (percentage of crown). Binary logistic regression analysis was used to analyized the probability of tree damage due to wind. The results showed that the regression model with the independent variable H/DBH was a suitable model. The H/DBH ratio or tree slenderness index is a biometric characteristic that contributes 11,4% to explain the risk of wind damage. Keywords: binary logistic regression ; percentage of crown; slenderness index
Inventory on Plantation Monitoring Assessment (PMA) Eucalyptus pellita at the aged of 30 months, measuring total height (h) and diameter at breast height (dbh). Height measurements were done using the Vertex. Measuring the total height of a tree whose crown has started to close (overlap) requires more time to find the highest point of the tree, it is necessary to overcome it with a tool that is a height estimator model through the relationship between height and diameter at breast height (h-dbh). The study was conducted using two compartments of Eucalyptus pellita stands at the aged of 30 months. Sampling conducted by Systematic Sampling with Random Start. The data measured were total height (h) and diameter at breast height (dbh). Simple linear regression modeling h-dbh compiled for each compartment then carried out a goodness of fit test and validation using the Bias, SA and SR values, after that the regression line similarity was tested. The results showed that the two compartments have regression equations with the same slope and intercept, so that the two compartments can be threated as one dataset and the total height in the two compartments studied can be estimated using the equation h = 6,968 + 0,844 dbh.
Gmelina (Gmelina arborea Roxb.) seed is a type of seed that have physical dormancy. This is because water and gases prevent by the hard seed coat during the germination process. Therefore, to break dormancy, preliminary treatment in the form of scarification is required, including using sulfuric acid (H2SO4) solution. This study aims to determine the treatment of soaking in a 96% concentration of H2SO4 solution that produces the best germination ability. The study used a completely randomized design method (CRD) with 5 soaked time treatments, namely control (0 minutes), 5 minutes, 10 minutes, 15 minutes, 20 minutes and each treatment was repeated 3 times with 50 seeds for each replication. The results showed that soaked the seeds in the 96% concentration of H2SO4 solution had a significant effect on on initial time of germination, last time of germination, 80% limit time for germination, percentage of germination and vigor index. Soaking time for 10 minutes is the best treatment for scarification of gmelina seeds. Keywords: physical dormancy; pre-treatment; scarification; soaking time
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.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.