How Many Acerola (Malpighia emarginata DC.) Fruit Are Required for Reliable Postharvest Quality Assessment?

Acerola (Malpighia emarginata DC.) is a tropical fruit known for its high vitamin C (ascorbic acid) content. This study aimed to determine the optimal sample size (OSS) required to reliably estimate postharvest quality traits in acerola. A total of 50 red-ripe fruit from four cultivars (BRS Rubra, Cabocla, Costa Rica, and Junko) were evaluated individually for their physical (weight, diameter, length, color, and firmness) and chemical (soluble solids content [SSC], titratable acidity [TA], SSC/TA ratio, and vitamin C) attributes. Bootstrap resampling and nonlinear power models were used to model the relationships between sample sizes and the width of 95% confidence intervals (CI95%). Three methods were applied to determine the maximum curvature point (MCP): general, perpendicular distance (PD), and linear response plateau (LRP). The PD and LRP methods led to consistent and conservative OSS estimates, which ranged from 12 to 28 fruit depending on the trait and cultivar. A sample size of 20 fruit was identified as a practical and reliable reference. Chemical traits showed greater variability and required larger samples. Cultivar comparisons indicated that ‘BRS Rubra’, ‘Cabocla’, and ‘Costa Rica’ are suitable for fresh consumption, while ‘Junko’ is ideal for vitamin C extraction. These results provide statistical support for experimental planning in acerola postharvest research.

Authors

Institutions

Publication Details

Journal
Horticulturae
Published
2025-08-09
DOI
https://doi.org/10.3390/horticulturae11080941
Citations
1
Primary Topic
Postharvest Quality and Shelf Life Management
Type
article
Field-Weighted Citation Impact
1.75

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How Many Acerola (Malpighia emarginata DC.) Fruit Are Required for Reliable Postharvest Quality Assessment?

Cristiane Martins Veloso, João Claudio Vilvert, F. de F. Souza, Sérgio Tonetto de Freitas
1 citations
Horticulturae
Postharvest Quality and Shelf Life Management
1.75
article

How Many Acerola (Malpighia emarginata DC.) Fruit Are Required for Reliable Postharvest Quality Assessment?

Cristiane Martins Veloso, João Claudio Vilvert, F. de F. Souza, Sérgio Tonetto de Freitas
article en
1 citations

Abstract

Acerola (Malpighia emarginata DC.) is a tropical fruit known for its high vitamin C (ascorbic acid) content. This study aimed to determine the optimal sample size (OSS) required to reliably estimate postharvest quality traits in acerola. A total of 50 red-ripe fruit from four cultivars (BRS Rubra, Cabocla, Costa Rica, and Junko) were evaluated individually for their physical (weight, diameter, length, color, and firmness) and chemical (soluble solids content [SSC], titratable acidity [TA], SSC/TA ratio, and vitamin C) attributes. Bootstrap resampling and nonlinear power models were used to model the relationships between sample sizes and the width of 95% confidence intervals (CI95%). Three methods were applied to determine the maximum curvature point (MCP): general, perpendicular distance (PD), and linear response plateau (LRP). The PD and LRP methods led to consistent and conservative OSS estimates, which ranged from 12 to 28 fruit depending on the trait and cultivar. A sample size of 20 fruit was identified as a practical and reliable reference. Chemical traits showed greater variability and required larger samples. Cultivar comparisons indicated that ‘BRS Rubra’, ‘Cabocla’, and ‘Costa Rica’ are suitable for fresh consumption, while ‘Junko’ is ideal for vitamin C extraction. These results provide statistical support for experimental planning in acerola postharvest research.

HorticulturaeVol. 11(8)
Brazilian Agricultural Research Corporation (BR), Southwest Bahia State University (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Empresa Brasileira de Pesquisa Agropecuária, Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco
Openalex Percentile: Top 13%
Postharvest Quality and Shelf Life Management
1.75
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.