التفاصيل البيبلوغرافية
| العنوان: |
DIOECY EFFECT ON GROWTH OF PLANTED Araucaria angustifolia Bert. O. Kuntze TREES |
| المؤلفون: |
Figueiredo Filho, Afonso, Brandes, Diego, Retslaff, Fabiane Aparecida de Souza, Becker, Marcelo, Roza, Bruna Letícia |
| المصدر: |
CERNE. September 2015 21(3) |
| بيانات النشر: |
UFLA - Universidade Federal de Lavras, 2015. |
| سنة النشر: |
2015 |
| مصطلحات موضوعية: |
Paraná Pine, growth and yield models, weighted models, heteroscedasticity |
| الوصف: |
The aim of the study was to evaluate the influence of dioecy on the growth in diameter at breast height (DBH), individual basal area, total height and individual volume of planted Araucaria angustifolia trees. The data came from 60 trees (30 male trees and 30 female trees) sampled from a 30-year-old plantation in Paraná State. Complete stem analysis was used to recover historical tree growth. The Chapman-Richards model was fitted in order to represent the growth and yield of the dendrometric variables for female and male Araucaria trees. Weighted non-linear least squared method was used in the fitting process and the inverse variance was used as weight to solve the problem of heteroscedasticity. The test to verify the equality of parameters and the identity of non-linear regression models proposed by Regazzi (2003) was used to test the influence of dioecy on growth. Dioecy significantly influenced the growth of Araucaria, and female trees have higher growth in diameter, individual basal area and individual volume, while male trees showed better height development. The asymptotic coefficient of the Chapman-Richards model showed that male trees have a higher asymptotic height than female trees. |
| نوع الوثيقة: |
article |
| وصف الملف: |
text/html |
| اللغة: |
English |
| تدمد: |
0104-7760 |
| DOI: |
10.1590/01047760201521031756 |
| URL الوصول: |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-77602015000300493 |
| Rights: |
info:eu-repo/semantics/openAccess |
| رقم الانضمام: |
edssci.S0104.77602015000300493 |
| قاعدة البيانات: |
SciELO |