Variability of Fruit Quality among 103 Acerola ( Malpighia emarginata D. C.) Phenotypes from the Subtropical Region of Brazil

Daniela Farinelli, Silvia Portarena, Daniel Fernandes da Silva, Chiara Traini, Giordana Menegazzo da Silva, Edvan Costa da Silva, Joice Ferreira da Veiga, Paola Pollegioni and Fabíola Villa
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Daniela Farinelli: Department of Agricultural, Food and Environmental Sciences (DSA3), University of Perugia, Via Borgo XX Giugno 74, 06121 Perugia, Italy
Silvia Portarena: Institute of Research on Terrestrial Ecosystems (IRET), National Research Council (CNR), Via Marconi 2, 05010 Porano, Italy
Daniel Fernandes da Silva: State University of Western Paraná (Unioeste), Marechal Cândido Rondon, Rua Pernambuco 1777, Brazil
Chiara Traini: Department of Agricultural, Food and Environmental Sciences (DSA3), University of Perugia, Via Borgo XX Giugno 74, 06121 Perugia, Italy
Giordana Menegazzo da Silva: State University of Western Paraná (Unioeste), Marechal Cândido Rondon, Rua Pernambuco 1777, Brazil
Edvan Costa da Silva: State University of Western Paraná (Unioeste), Marechal Cândido Rondon, Rua Pernambuco 1777, Brazil
Joice Ferreira da Veiga: State University of Western Paraná (Unioeste), Marechal Cândido Rondon, Rua Pernambuco 1777, Brazil
Paola Pollegioni: Institute of Research on Terrestrial Ecosystems (IRET), National Research Council (CNR), Via Marconi 2, 05010 Porano, Italy
Fabíola Villa: State University of Western Paraná (Unioeste), Marechal Cândido Rondon, Rua Pernambuco 1777, Brazil

Agriculture, 2021, vol. 11, issue 11, 1-19

Abstract: Acerola fruit is one of the richest natural sources of ascorbic acid. As a consequence, acerola fruit and its products are in demand worldwide for the production of health supplements and for the development of functional products. Acerola phenotypes (103) were screened in Western Paraná State, in the Southern region of Brazil, and evaluated to obtain information on fruit quality characteristics with the aim of using them in future breeding programs. Principal Component and Hierarchical Cluster analysis were performed on all datasets to explore the variability among samples and to identify the main clusters. A great variability among phenotypes was observed, with potential for use in breeding programs. Seven phenotypes were selected as candidates in the next breeding program, characterized by high vitamin C content and yield, or higher values of fruit size and color parameters. Four belong to cluster 1 and three to cluster 2. Specifically, two phenotypes, belonging to cluster 2, showed the best performance in terms of vitamin C (2150 mg 100 g −1 pulp and 2625 mg 100 g −1 pulp respectively) and pulp yield (74.8% and 82.3% respectively), and one phenotype, belonging to cluster 1, for high pulp yield, fruit size and vitamin C content (80.3% 6.43 g and 2490 mg 100 g −1 pulp).

Keywords: ascorbic acid; polyphenols; breeding program; heat map; dissimilarity; pulp yield (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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