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Phenotypic selection for improvement of Spondias tuberosa trees in on-farm biodiversity conservation
by
Silva-Mann, Renata
, da Silva, Maria Suzana Oliveira
, Santana, Natali Aparecida
, Nunes, Valdinete Vieira
in
Accuracy
/ Adaptation
/ Agriculture
/ Biodiversity
/ Biodiversity conservation
/ bioeconomics
/ Biomedical and Life Sciences
/ biometry
/ Brazil
/ Conservation
/ Ecosystems
/ endocarp
/ Environmental changes
/ Environmental conditions
/ Genetic variability
/ Germination
/ Life Sciences
/ phenotype
/ phenotypic selection
/ phenotypic variation
/ plant architecture
/ Plant Genetics and Genomics
/ plant improvement
/ Plant Physiology
/ Plant Sciences
/ Plant Systematics/Taxonomy/Biogeography
/ Prediction models
/ Research Article
/ Seedlings
/ Seeds
/ Software
/ species
/ Species diversity
/ Spondias tuberosa
/ Storage conditions
/ Sustainability management
/ Sustainable practices
/ Trees
/ variance
/ vigor
/ Wildlife conservation
2025
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Phenotypic selection for improvement of Spondias tuberosa trees in on-farm biodiversity conservation
by
Silva-Mann, Renata
, da Silva, Maria Suzana Oliveira
, Santana, Natali Aparecida
, Nunes, Valdinete Vieira
in
Accuracy
/ Adaptation
/ Agriculture
/ Biodiversity
/ Biodiversity conservation
/ bioeconomics
/ Biomedical and Life Sciences
/ biometry
/ Brazil
/ Conservation
/ Ecosystems
/ endocarp
/ Environmental changes
/ Environmental conditions
/ Genetic variability
/ Germination
/ Life Sciences
/ phenotype
/ phenotypic selection
/ phenotypic variation
/ plant architecture
/ Plant Genetics and Genomics
/ plant improvement
/ Plant Physiology
/ Plant Sciences
/ Plant Systematics/Taxonomy/Biogeography
/ Prediction models
/ Research Article
/ Seedlings
/ Seeds
/ Software
/ species
/ Species diversity
/ Spondias tuberosa
/ Storage conditions
/ Sustainability management
/ Sustainable practices
/ Trees
/ variance
/ vigor
/ Wildlife conservation
2025
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Phenotypic selection for improvement of Spondias tuberosa trees in on-farm biodiversity conservation
by
Silva-Mann, Renata
, da Silva, Maria Suzana Oliveira
, Santana, Natali Aparecida
, Nunes, Valdinete Vieira
in
Accuracy
/ Adaptation
/ Agriculture
/ Biodiversity
/ Biodiversity conservation
/ bioeconomics
/ Biomedical and Life Sciences
/ biometry
/ Brazil
/ Conservation
/ Ecosystems
/ endocarp
/ Environmental changes
/ Environmental conditions
/ Genetic variability
/ Germination
/ Life Sciences
/ phenotype
/ phenotypic selection
/ phenotypic variation
/ plant architecture
/ Plant Genetics and Genomics
/ plant improvement
/ Plant Physiology
/ Plant Sciences
/ Plant Systematics/Taxonomy/Biogeography
/ Prediction models
/ Research Article
/ Seedlings
/ Seeds
/ Software
/ species
/ Species diversity
/ Spondias tuberosa
/ Storage conditions
/ Sustainability management
/ Sustainable practices
/ Trees
/ variance
/ vigor
/ Wildlife conservation
2025
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Phenotypic selection for improvement of Spondias tuberosa trees in on-farm biodiversity conservation
Journal Article
Phenotypic selection for improvement of Spondias tuberosa trees in on-farm biodiversity conservation
2025
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Overview
Investigating the distribution modeling of
Spondias tuberosa
, as well as its phenotypic diversity, is critical for species conservation and tree improvement initiatives. This species holds great importance in bioeconomy, yet there is limited knowledge to address its production. Utilizing predictive distribution modeling, we can identify areas in Sergipe with a high likelihood of the natural occurrence of
S. tuberosa
, which is crucial for targeted conservation efforts. Comprehensive phenotypic characterization was conducted on a natural population, selecting individuals and examining traits ranging from tree architecture to fruit biometry, and including information on seed conservation under storage conditions. The findings revealed substantial variance in germination rates and seedling vigor related to the duration of endocarp storage, although no significant differences were observed in overall germination success across different storage times. However, prolonged storage resulted in an increase in abnormal seedlings and deteriorated seeds. The integration of phenotypic data and predictive modeling provides a robust framework for understanding ecological dynamics and supports sustainable management practices for
S. tuberosa
, aligning with bioeconomic goals. This research underscores the importance of maintaining phenotypic variability within populations, which is vital for the adaptive capacity of species to changing environmental conditions and for enhancing local bioeconomies.
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