MORPHOMETRIC DESCRIPTORS AND PHYSIOLOGICAL SEED QUALITY FOR SELECTING Aspidosperma pyrifolium Mart. MATRIX TREES

Authors

  • Luiz Augusto da Silva Correia Academic Unit Specialized in Agricultural Sciences, Universidade Federal do Rio Grande do Norte, Macaíba, RN http://orcid.org/0000-0002-1333-8364
  • Francival Cardoso Felix Academic Unit Specialized in Agricultural Sciences, Universidade Federal do Rio Grande do Norte, Macaíba, RN http://orcid.org/0000-0002-6518-5697
  • Fernando dos Santos Araújo Academic Unit Specialized in Agricultural Sciences, Universidade Federal do Rio Grande do Norte, Macaíba, RN http://orcid.org/0000-0002-0605-1613
  • Cibele dos Santos Ferrari Academic Unit Specialized in Agricultural Sciences, Universidade Federal do Rio Grande do Norte, Macaíba, RN http://orcid.org/0000-0003-2940-0190
  • Mauro Vasconcelos Pacheco Academic Unit Specialized in Agricultural Sciences, Universidade Federal do Rio Grande do Norte, Macaíba, RN http://orcid.org/0000-0002-0447-9800

DOI:

https://doi.org/10.1590/1983-21252019v32n319rc

Keywords:

Biometry. Genetic diversity. Dry forests. Pereiro tree.

Abstract

Aspidosperma pyrifolium Mart. (Apocynaceae) is a tree species with high ecological and economic potential. Therefore, the need to select trees for producing high-quality seeds is evident. In this sense, the objective of this study was to select A. pyrifolium matrices based on the morphometric descriptors of fruits and seeds and the physiological quality of seeds from a natural population. For this, 11 A. pyrifolium trees were selected, and their fruits and seeds were submitted to biometric analysis; in addition, the physiological quality of the seeds was evaluated. The morphometric characteristics of fruits and seeds and the physiological quality of the seeds evidenced differences and variations among the seeds of the different A. pyrifolium trees, making it possible to group them according to the similarity degree. Thus, seven trees were selected as seed matrices based on superior physiological quality and genetic dissimilarity.

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Published

27-08-2019

Issue

Section

Forest Science