Volumetric analysis of Attalea funifera Mart. (Arecaceae) pollen in bee pollen samples from the low southern coast of Bahia, Brazil

Authors

DOI:

https://doi.org/10.33447/paubrasilia.v1i2.14

Keywords:

beekeeping, palynology, bee pollen, pollen volume, Apis mellifera

Abstract

The volumetric analysis of Attalea funifera Mart. (Arecaceae) pollen was carried out. Commercialized bee pollen samples were collected from May to November 2014 in Nilo Peçanha, Bahia State. The pollen samples were identified and quantified in order to determine their botanical origin and to analyze the importance of A. funifera to bee pollen composition, under the volumetric aspect. The pollen spectrum was composed of 23 pollen types distributed in 13 botanical families, especially Fabaceae, Euphorbiaceae and Asteraceae. The most frequent pollen type was Mimosa pudica, but the volumetric analyzes indicated A. funifera as the most important in the constitution of the pollen collected. Therefore, based on the volume (93,974.70 μm³), the potential of A. funifera pollen is verified in bee pollen samples and, consequently, the importance of volumetric analysis in addition to quantitative and frequency analyzes.

Author Biographies

Rodolfo de França Alves, Bahia State University at Feira de Santana

PhD and MS in Botany - Bahia State University at Feira de Santana.

Francisco de Assis Ribeiro dos Santos, Bahia State University at Feira de Santana

Full professor at Bahia State University at Feira de Santana (UEFS).

Published

05/21/2019

How to Cite

ALVES, Rodolfo de França; SANTOS, Francisco de Assis Ribeiro dos. Volumetric analysis of Attalea funifera Mart. (Arecaceae) pollen in bee pollen samples from the low southern coast of Bahia, Brazil. Paubrasilia, Porto Seguro, v. 1, n. 2, p. 5–11, 2019. DOI: 10.33447/paubrasilia.v1i2.14. Disponível em: https://periodicos.ufsb.edu.br/index.php/paubrasilia/article/view/14. Acesso em: 18 dec. 2024.

Conference Proceedings Volume

Section

Articles

Similar Articles

1 2 > >> 

You may also start an advanced similarity search for this article.