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Morphological and molecular characteristics do not confirm popular classification of the Brazil nut tree in Acre, Brazil
- Source :
- Genetics and Molecular Research. 12:4018-4027
- Publication Year :
- 2013
- Publisher :
- Genetics and Molecular Research, 2013.
-
Abstract
- In the State of Acre, the Brazil nut tree, Bertholletia excelsa (Lecythidaceae), is classified by the local population into two types according to morphological characteristics, including color and quality of wood, shape of the trunk and crown, and fruit production. We examined the reliability of this classification by comparing morphological and molecular data of four populations of Brazil nut trees from Vale do Rio Acre in the Brazilian Amazon. For the morphological analysis, we evaluated qualitative and quantitative information of the trees, fruits, and seeds. The molecular analysis was performed using RAPD and ISSR markers, with cluster analysis. Significant differences were found between the two types of Brazil nut trees for the characters diameter at breast height, fruit yield, fruit size, and number of seeds per fruit. Despite the significant correlation between the morphological characteristics and the popular classification, we observed all possible combinations of morphological characteristics in both types of Brazil nut trees. In some individuals, the classification did not correspond to any of the characteristics. The results obtained with molecular markers showed that the two locally classified types of Brazil nut trees did not differ genetically, indicating that there is no consistent separation between them.
- Subjects :
- DNA, Plant
Trees
food
Botany
Genetics
Cluster Analysis
Molecular Biology
biology
Amazon rainforest
Crown (botany)
Lecythidaceae
Diameter at breast height
Reproducibility of Results
food and beverages
Sequence Analysis, DNA
General Medicine
biology.organism_classification
food.food
Random Amplified Polymorphic DNA Technique
RAPD
Horticulture
Fruit
Seeds
Morphological analysis
Bertholletia
Brazil
Brazil nut
Subjects
Details
- ISSN :
- 16765680
- Volume :
- 12
- Database :
- OpenAIRE
- Journal :
- Genetics and Molecular Research
- Accession number :
- edsair.doi.dedup.....ca818dc412bf19f6611380435bcf2395
- Full Text :
- https://doi.org/10.4238/2013.september.27.3