Linking genetic variability to fruit and pyrene traits in Endopleura uchi genotypes from the Eastern Brazilian Amazon

Abstract Endopleura uchi is a valuable tree species with significant nutraceutical potential and extensive applications. However, there is a lack of information regarding genetic parameters and the characterization of phenotypic variability that could be applied to the conservation and genetic impro...

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Main Authors: R. J. C. Costa, J. I. M. Rodrigues, R. Gallo, T. R. Corrêa, S. H. S. Felipe, W. B. R. Martins
Format: Article
Language:English
Published: Instituto Internacional de Ecologia 2025-04-01
Series:Brazilian Journal of Biology
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Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842025000100157&lng=en&tlng=en
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author R. J. C. Costa
J. I. M. Rodrigues
R. Gallo
T. R. Corrêa
S. H. S. Felipe
W. B. R. Martins
author_facet R. J. C. Costa
J. I. M. Rodrigues
R. Gallo
T. R. Corrêa
S. H. S. Felipe
W. B. R. Martins
author_sort R. J. C. Costa
collection DOAJ
description Abstract Endopleura uchi is a valuable tree species with significant nutraceutical potential and extensive applications. However, there is a lack of information regarding genetic parameters and the characterization of phenotypic variability that could be applied to the conservation and genetic improvement of this species. In this study, we estimated genetic parameters and quantified genetic variability based on the physical characteristics of fruits and pyrenes of E. uchi genotypes from a native population in the Eastern Brazilian Amazon. We collected 1,636 mature fruits from 13 genotypes and characterized them in terms of biometric measurements, volume, and fresh mass of both fruits and pyrenes. Additionally, we quantified the pulp yield from the fruit. Genetic analyses were conducted using the SELEGEN REML/BLUP software, model 81, and clustering analysis was performed using the unweighted pair group method with arithmetic mean (UPGMA). We also utilized a genotype selection index. We observed significant phenotypic variability within the population. Heritability coefficients ranged from 0.16 to 0.44 for the analyzed traits, with environmental variance exceeding genotypic variance. A strong negative correlation (-0.80) was found between pulp yield and fruit diameter. The results suggest the need for conservation and genetic improvement of the species. Additionally, we suggest the selection of key genotypes to boost the Amazonian bioeconomy, such as higher pulp yield, resulting in positive impacts on a regional or local scale, with greater income and social well-being.
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spelling doaj-art-9a2bcd8b6ffa4504bdb49756b88e2b912025-08-20T03:11:28ZengInstituto Internacional de EcologiaBrazilian Journal of Biology1678-43752025-04-018510.1590/1519-6984.290725Linking genetic variability to fruit and pyrene traits in Endopleura uchi genotypes from the Eastern Brazilian AmazonR. J. C. Costahttps://orcid.org/0009-0003-9314-2779J. I. M. Rodrigueshttps://orcid.org/0000-0001-7394-8482R. Gallohttps://orcid.org/0000-0001-9547-3983T. R. Corrêahttps://orcid.org/0000-0003-3131-4996S. H. S. Felipehttps://orcid.org/0000-0003-4529-9547W. B. R. Martinshttps://orcid.org/0000-0001-8795-1703Abstract Endopleura uchi is a valuable tree species with significant nutraceutical potential and extensive applications. However, there is a lack of information regarding genetic parameters and the characterization of phenotypic variability that could be applied to the conservation and genetic improvement of this species. In this study, we estimated genetic parameters and quantified genetic variability based on the physical characteristics of fruits and pyrenes of E. uchi genotypes from a native population in the Eastern Brazilian Amazon. We collected 1,636 mature fruits from 13 genotypes and characterized them in terms of biometric measurements, volume, and fresh mass of both fruits and pyrenes. Additionally, we quantified the pulp yield from the fruit. Genetic analyses were conducted using the SELEGEN REML/BLUP software, model 81, and clustering analysis was performed using the unweighted pair group method with arithmetic mean (UPGMA). We also utilized a genotype selection index. We observed significant phenotypic variability within the population. Heritability coefficients ranged from 0.16 to 0.44 for the analyzed traits, with environmental variance exceeding genotypic variance. A strong negative correlation (-0.80) was found between pulp yield and fruit diameter. The results suggest the need for conservation and genetic improvement of the species. Additionally, we suggest the selection of key genotypes to boost the Amazonian bioeconomy, such as higher pulp yield, resulting in positive impacts on a regional or local scale, with greater income and social well-being.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842025000100157&lng=en&tlng=enAmazonian fruits, genetic conservationplant breedingbiometryrank-sum index
spellingShingle R. J. C. Costa
J. I. M. Rodrigues
R. Gallo
T. R. Corrêa
S. H. S. Felipe
W. B. R. Martins
Linking genetic variability to fruit and pyrene traits in Endopleura uchi genotypes from the Eastern Brazilian Amazon
Brazilian Journal of Biology
Amazonian fruits, genetic conservation
plant breeding
biometry
rank-sum index
title Linking genetic variability to fruit and pyrene traits in Endopleura uchi genotypes from the Eastern Brazilian Amazon
title_full Linking genetic variability to fruit and pyrene traits in Endopleura uchi genotypes from the Eastern Brazilian Amazon
title_fullStr Linking genetic variability to fruit and pyrene traits in Endopleura uchi genotypes from the Eastern Brazilian Amazon
title_full_unstemmed Linking genetic variability to fruit and pyrene traits in Endopleura uchi genotypes from the Eastern Brazilian Amazon
title_short Linking genetic variability to fruit and pyrene traits in Endopleura uchi genotypes from the Eastern Brazilian Amazon
title_sort linking genetic variability to fruit and pyrene traits in endopleura uchi genotypes from the eastern brazilian amazon
topic Amazonian fruits, genetic conservation
plant breeding
biometry
rank-sum index
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842025000100157&lng=en&tlng=en
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