Abstract
The objective of this work was to carry out the morphological characterization of strawberry fruit of different genotypes, as well as to verify their postharvest conservation. Six commercial cultivars (Albion, Aromas, Dover, Festival, Pircinque, and San Andreas) and nine experimental clones (MDA01, MDA19, MDA22, MDA23, MCA89, MCA94, MFA443, MOGSC468, and MFA443PR) were evaluated. Fruit were produced on semi-hydroponic gutters in protected cultivation and classified according to size, shape, color, brightness, achene position, pulp color, “heart” color, fruit cavity, and sepal position. For the postharvest analysis of fruit, the loss of mass and the appearance of fruit during ten days of storage were determined. The evaluated genotypes show a high similarity to each other regarding morphological characterization. MCA89 and 'Pircinque' are the most divergent genotypes in relation to the others. There is an association between the characteristics large cavity, reniform shape, and medium cavity, which contributes to the indirect selection of desirable characters. On the tenth day of storage, the MDA01, MDA19, MCA89, MFA443, and 'Dover' genotypes still show acceptable conditions for commercialization.
Index terms:
Fragaria x ananassa; exploratory analysis; plant breeding; post-harvest
Resumo
O objetivo deste trabalho foi realizar a caracterização morfológica de frutos de morango de diferentes genótipos, assim como verificar sua conservação pós-colheita. Seis cultivares comerciais (Albion, Aromas, Dover, Festival, Pircinque e San Andreas) e nove clones experimentais (MDA01, MDA19, MDA22, MDA23, MCA89, MCA94, MFA443, MOGSC468 e MFA443PR) foram avaliados. Os frutos foram produzidos em bancadas semi-hidropônicas, em cultivo protegido, e classificados quanto a tamanho, formato, coloração, brilho, posição do aquênio, coloração da polpa, coloração do “coração”, cavidade do fruto e posição das sépalas. Para a análise de póscolheita dos frutos, foram determinadas a perda de massa e a aparência dos frutos durante dez dias de armazenamento. Os genótipos avaliados apresentam alta similaridade entre si quanto à caracterização morfológica. MCA89 e 'Pircinque' são os genótipos mais divergentes em relação aos demais. Há uma associação entre as características cavidade grande, formato reniforme e cavidade média, o que contribui para a seleção indireta dos caracteres desejáveis. No décimo dia de armazenamento, os genótipos MDA01, MDA19, MCA89, MFA443 e 'Dover' ainda apresentam condições aceitáveis para comercialização.
Termos para indexação:
Fragaria x ananassa; análise exploratória; melhoramento vegetal; pós-colheita
Introduction
Strawberry cultivation (Fragaria x ananassa Duch.) represents a consolidated activity in several regions in Brazil, with great socioeconomic impact, mainly in small areas with family farming (Gomes et al., 2013GOMES, K.B.P.; OLIVEIRA, G.H.H.; CARVALHO, J.P.; CAVALCANTE, D.F. da S.; VILLA-REAL, M.E. Diagnóstico da cadeia produtiva do morango dos agricultores familiares do Distrito Federal. Revista Eixo, v. 2, p. 9-14, 2013. DOI: https://doi.org/10.19123/eixo.v2i2.110.
https://doi.org/10.19123/eixo.v2i2.110....
; Alves et al., 2020ALVES, M.C.; MATOSO, E.S.; PEIL, R.M.N. What is the profile of strawberry producers in the south Brazilian region and what do they think about substrate cultivation? Horticultura Brasileira, v. 38, p. 428-433, 2020. DOI: https://doi.org/10.1590/s0102-0536202004014.
https://doi.org/10.1590/s0102-0536202004...
). This crop production is approximately 150,000 tons in 4,200 ha, with emphasis in the states of Minas Gerais, where production is 74,000 tons in 2,000 ha, Paraná (21,450 tons, 650 ha), and Rio Grande do Sul (20,350 tons, 550 ha) (Fagherazzi et al., 2017FAGHERAZZI, A.F.; GRIMALDI, F.; KRETZSCHMAR, A.A.; MOLINA, A.R.; GONÇALVES, M.A.; ANTUNES, L.E.C.; BARUZZI, G.; RUFATO, L. Strawberry production progress in Brazil. Acta Horticulturae, v. 1156, p. 937-940, 2017. DOI: https://doi.org/10.17660/ActaHortic.2017.1156.138.
https://doi.org/10.17660/ActaHortic.2017...
).
The species is highly valued due to its fresh commercialization and industrial processing. It is appreciated by consumers for its very well-defined sensory and nutritional characteristics (Guimarães et al., 2016GUIMARÃES, A.G.; ANDRADE, J.V.C.; AZEVEDO, A.M.; GUEDES, T.J.; PINTO, N.A.V.D. Quality of strawberry grown in Brazilian tropical humid conditions for breeding programs. Fruits, v. 71, p. 151-160, 2016. DOI: https://doi.org/10.1051/fruits/2016007.
https://doi.org/10.1051/fruits/2016007....
). However, Brazilian producers have been faced with the high cost of crop production, due to the lack of national cultivars adapted to our edaphoclimatic conditions (Galvão et al., 2014GALVÃO, A.G.; RESENDE, L.V.; GUIMARAES, R.M.; FERR A Z, A.K.L.; MOR A LES, R.G.F.; MARODI N, J.C.; CATÃO, H.C.R.M. Overcoming strawberry achene dormancy for improved seedling production in breeding programs. Idesia, v. 32, p. 57-62, 2014. DOI: https://doi.org/10.4067/S0718-34292014000400007.
https://doi.org/10.4067/S0718-3429201400...
; Vieira et al., 2017VIEIRA, S.D.; SOUZA, D.C. de; MARTINS, I.A.; RIBEIRO, G.H.M.R.; RESENDE, L.V.; FERRAZ, A.K.L.; GALVÃO, A.G.; RESENDE, J.T.V. de. Selection of experimental strawberry (Fragaria x ananassa) hybrids based on selection indices. Genetics and Molecular Research, v. 16, gmr16019052, 2017. DOI: https://doi.org/10.4238/gmr16019052.
https://doi.org/10.4238/gmr16019052....
; Souza et al. 2019SOUZA D.C. de; OSSANI, P.C.; RESENDE, L.V.; CIRILLO, M.Â.; SILVA, L.F.L. e; XAVIER, J.B. Variabilidade genética entre cultivares comerciais e híbridos experimentais de morangueiro com ênfase em análise de múltiplos fatores. Magistra, v. 30, p. 48-59, 2019.).
Attributes related to the appearance of the fruit should be taken into account in genetic breeding programs for the crop, as research has already shown that the appearance and color positively influence the flavor of the fruit (Maksimović et al., 2015; Tahir et al., 2018TAHIR, H.E.; XIAOBO, Z.; JIYONG, S.; MAHUNU, G.K.; ZHAI, X.; MARIOD, A.A. Quality and postharvest-shelf life of cold-stored strawberry fruit as affected by gum arabic (Acacia senegal) edible coating. Journal of Food Biochemistry, v. 42, e12527, 2018. DOI: https://doi.org/10.1111/jfbc.12527.
https://doi.org/10.1111/jfbc.12527....
), in addition to the fact that, at the time of purchase, attributes such as color and appearance have a greater impact on the consumer than other characteristics, as they are the first to be evaluated (Fernández-Lara et al., 2015FERNÁNDEZ-LARA, R.; GORDILLO, B.; RODRÍGUEZ-PULIDO, F.J.; GONZÁLEZ-MIRET, M.L.; DEL VILLAR-MARTÍNEZ, A.A.; DÁVILA-ORTIZ, G.; HEREDIA, F.J. Assessment of the differences in the phenolic composition and color characteristics of new strawberry (Fragaria x ananassa Duch.) cultivars by HPLC-MS and imaging tristimulus colorimetry. Food Research International, v. 76, p. 645-653, 2015. DOI: https://doi.org/10.1016/j.foodres.2015.07.038.
https://doi.org/10.1016/j.foodres.2015.0...
).
Another factor that should be observed is the post-harvest time of the fruit, as it is a highly perishable product that undergoes a rapid loss of water in its tissues due to the high respiratory rate (Mirahmadi et al., 2011MIRAHMADI, F.; HANAFI, Q.M.; ALIZADEH, M.; MOHAMADI, H.; SARSAIFEE, M. Effect of low temperature on physico-chemical properties of different strawberry cultivars. African Journal of Food Science and Technology, v. 2, p. 109-115, 2011.), in addition to being susceptible to the incidence of fungi which cause considerable nutritional and economic losses (Malgarim et al., 2006MALGARIM, M.B.; CANTILLANO, R.F.F.; COUTINHO, E.F. Sistemas e condições de colheita e armazenamento na qualidade de morangos cv. Camarosa. Revista Brasileira de Fruticultura, v. 28, p. 185-189, 2006. DOI: https://doi.org/10.1590/S0100-29452006000200007.
https://doi.org/10.1590/S0100-2945200600...
).
Considering the importance of developing a genotype that meets the needs of the producer, as well as those of the consumer market, the Universidade Federal de Lavras started a genetic breeding program aimed to obtaining materials adapted to the Brazilian edaphoclimatic conditions.
The objective of this work was to carry out the morphological characterization of strawberry fruit from the most promising genotypes of this breeding program, as well as to verify their postharvest conservation.
Materials and Methods
Fifteen strawberry genotypes from the genetic breeding program of the Universidade Federal de Lavras (UFLA) were evaluated – six commercial cultivars (Albion, Aromas, Dover, Festival, Pircinque, and San Andreas) and nine experimental clones (MDA01, MDA19, MDA22, MDA23, MCA89, MCA94, MFA443, MOGSC468 and MFA443PR) -, which were previously selected for their productive characteristics and fruit physicochemical quality (Souza et al., 2017SOUZA, D.C. de; VIEIRA, S.D.; RESENDE, L.V.; GALVÃO, A.G.; FERRAZ, A.K.L.; RESENDE, J.T.V. de; ELIAS, H.H. de S. Propriedades físico-químicas em frutos de híbridos experimentais de morangueiro. Agrotrópica, v. 29, p. 85-96, 2017. DOI: https://doi.org/10.21757/0103-3816.2017v29n1p85-96.
https://doi.org/10.21757/0103-3816.2017v...
, 2019; Vieira et al., 2017VIEIRA, S.D.; SOUZA, D.C. de; MARTINS, I.A.; RIBEIRO, G.H.M.R.; RESENDE, L.V.; FERRAZ, A.K.L.; GALVÃO, A.G.; RESENDE, J.T.V. de. Selection of experimental strawberry (Fragaria x ananassa) hybrids based on selection indices. Genetics and Molecular Research, v. 16, gmr16019052, 2017. DOI: https://doi.org/10.4238/gmr16019052.
https://doi.org/10.4238/gmr16019052....
).
The experiment was carried out in the municipality of Lavras (21º14'S, 45º00'W, at 918.8 m altitude), in the state of Minas Gerais, Brazil. The climate of the region, according to the climatic classification of Köppen-Geiger, is considered as subtropical highland climate, with dry winter and rainy summer (Alvares et al., 2013ALVARES, C.A.; STAPE, J.L.; SENTELHAS, P.C.; GONÇALVES, J.L. de M.; SPAROVEK, G. Koppen’s climate classification map for Brazil. Meteorologische Zeitschrift, v. 22, p. 711-728, 2013. DOI: https://doi.org/10.1127/0941-2948/2013/0507.
https://doi.org/10.1127/0941-2948/2013/0...
).
Strawberry fruit were produced in semi-hydroponic gutters in a protected cultivation conducted in randomized complete block design with three replicates, for the evaluation of agronomic performance of each genotype. Fertilization was performed in weekly fertigations with soluble salts, following the recommendations adapted from Ribeiro et al. (1999)RIBEIRO, A.C.; GUIMARÃES, P.T.G.; ALVAREZ V., V.H. (Ed.). Recomendações para o uso de corretivos e fertilizantes em Minas Gerais: 5a Aproximação. Viçosa: Comissão de Fertilidade do Solo do Estado de Minas Gerais. 1999. 359p.. Insecticide, fungicide, and herbicide were applied according to the needs of the crop.
For the morphological characterization, fruit were harvested weekly – in a total of 75 fruit per genotype [5 harvests x 5 fruit/harvest x 3 replicates (blocks)] -, on the following dates, in 2020: September 29, and October 07, 12, 19, and 26. Five random fruit from each experimental plot were selected and classified according to the morphological descriptors proposed by UPOV (2012)UPOV. International Union for the Protection of New Varieties of Plants. Guidelines for the conduct of tests for distinctness, uniformity and stability: Strawberry: UPOV Code: Fraga: Fragaria L. Geneva, 2012. Available at: <https://www.upov.int/edocs/tgdocs/en/tg022.pdf>. Accessed on: Oct. 1 2021.
https://www.upov.int/edocs/tgdocs/en/tg0...
(Table 1). Each fruit was evaluated by three evaluators, totaling 225 evaluations for each genotype.
Characteristics of strawberry fruit according to the morphological descriptors by UPOV (2012)UPOV. International Union for the Protection of New Varieties of Plants. Guidelines for the conduct of tests for distinctness, uniformity and stability: Strawberry: UPOV Code: Fraga: Fragaria L. Geneva, 2012. Available at: <https://www.upov.int/edocs/tgdocs/en/tg022.pdf>. Accessed on: Oct. 1 2021.
https://www.upov.int/edocs/tgdocs/en/tg0... and classified by notes.
Exploratory data analysis was carried out in three stages. In the first stage, a descriptive analysis of the data was made, with basis on the frequency percentages of the event occurrences, and graphs were generated in accordance with UPOV (2012)UPOV. International Union for the Protection of New Varieties of Plants. Guidelines for the conduct of tests for distinctness, uniformity and stability: Strawberry: UPOV Code: Fraga: Fragaria L. Geneva, 2012. Available at: <https://www.upov.int/edocs/tgdocs/en/tg022.pdf>. Accessed on: Oct. 1 2021.
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to characterize the variables at their levels.
In the second stage, simple correspondence analysis was applied to establish the association between genotypes and categorical variables at their levels. The data for simple correspondence analysis constituted the occurrence frequency of the levels of categorical variables with 15 rows that characterized the studied genotypes, and 42 columns representing the variables in their levels (Table 1).
In the third step, the analysis was applied to establish the association between the variables at their levels by using the multiple correspondence analyses. This analysis showed 2,814 observations and 9 variables (Table 1).
Microsoft Excel software (Microsoft, 2019MICROSOFT. Microsoft Excel. version 365. 2019. Available at: <https://office.microsoft.com/excel>. Accessed on: Jan. 4 2021.
https://office.microsoft.com/excel...
) was used in the first step of the analysis and, in the following steps, the results were obtained through the development of scripts in the R software (R Core Team, 2020R CORE TEAM. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing, 2020. Available at: <http://www.R-project.org>. Accessed on: May 12 2020.
http://www.R-project.org...
) for public use, through the MVar version 2.1.3 package (Ossani & Cirillo, 2020OSSANI, P.C.; CIRILLO, M.A. M Var: Multivariate analysis. R package version 2.1.3. 2020. Available at: <https://cran.r-project.org/web/packages/MVar/>. Accessed on: Mar. 16 2021.
https://cran.r-project.org/web/packages/...
).
For post-harvest conservation evaluations, the experiment was conducted in a completely randomized design, with three replicates of 100 g fruit of each genotype (about 10 strawberries). Fruit were harvested on September 14, 2020, packed in 154x74x57 mm polyethylene trays, and stored at 2.0±0.1°C in BOD for 10 days.
Evaluations for weight loss and fruit appearance were performed every two days, during 10 days of storage. Fruit were weighed for the weight loss determination on a precision scale (Zenebon et al., 2008ZENEBON, O.; PASCUET, N.S.; TIGLEA, P. (Coord.). Métodos físico-químicos para análise de alimentos. 4.ed., 1.ed. digital. São Paulo: Instituto Adolfo Lutz, 2008. 1020p.), while fruit appearance was evaluated by a scale of scores gauged by two evaluators in accordance with Andrade Júnior et al. (2016)ANDRADE JÚNIOR, V.C.; GUIMARÃES, A.G.; AZEVEDO, A.M.; PINTO, N.A.V.D.; FERREIRA, M.A.M. Conservação póscolheita de frutos de morangueiro em diferentes condições de armazenamento. Horticultura Brasileira, v. 34, p. 405-411, 2016. DOI: https://doi.org/10.1590/S0102-05362016003016.
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. Appearance scores were attributed to fruit to meet marketing conditions, as follows: 3, good; 2, reasonable; and 1, inadequate for marketing conditions.
Raw data of the evaluations were not transformed, due to the homogeneity between the replicates. The results were subjected to the analysis of variance, and the means were compared by the Scott-Knott’s test, at 5% probability. For quantitative purposes, data were adjusted to a regression model with the aid of the R software (R Core Team, 2020R CORE TEAM. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing, 2020. Available at: <http://www.R-project.org>. Accessed on: May 12 2020.
http://www.R-project.org...
).
Results and Discussion
The morphological characteristics – size, shape, brightness, cavity, color of the fruit, and pulp – were similar between the commercial cultivars and the experimental clones, as shown in the descriptive analysis (Figure 1).
Morphological characterization of strawberry fruit (Fragaria x ananassa) of different genotypes, based on descriptors of UPOV (2012)UPOV. International Union for the Protection of New Varieties of Plants. Guidelines for the conduct of tests for distinctness, uniformity and stability: Strawberry: UPOV Code: Fraga: Fragaria L. Geneva, 2012. Available at: <https://www.upov.int/edocs/tgdocs/en/tg022.pdf>. Accessed on: Oct. 1 2021.
https://www.upov.int/edocs/tgdocs/en/tg0... : A, size; B, format; C, coloring of the fruit; D, brightness; E, position of the achene; F, pulp coloring; G, internal coloring of the "heart"; H, presence of cavity in the fruit; I, position of sepals on the fruit.
At least 50% of the fruit showed sizes varying from medium to very large, mainly strawberry 'Albion' (84.44%), followed by the experimental clones MCA89 (80.22%), MDA19 (73.43%) and strawberry 'San Andreas' (72.32%). The Festival and Dover commercial cultivars had the lowest percentage of large fruit – 40 and 49%, respectively (Figure 1A). Regarding the format (Figure 1 B), the genotypes showed a predominance of conical fruit, except for MCA89 that had 22.6% globular fruit, 18.64% of cylindrical fruit, 15.82% of obloid fruit, and the rest distributed among the other formats.
The color ranged from medium red to dark red with strong brightness, and small or absent cavity (Figure 1 C). Considering the pulp color, there was a predominance of red color; however the MDA22 clone showed 29.3% of fruit with whitish color.
As to the morphological characterization of the fruit, there was no significant genetic variability among the evaluated genotypes (Figure 2). However, variability was observed within the experimental genotypes and, to a lesser extent, within the cultivars that are already commercial, for most of the analyzed characteristics, evidencing the need for a more accurate selection process within the experimental clones.
Morphological aspect of strawberry fruit from commercial cultivars and experimental clones of strawberry.
In short, between the genotypes there was a predominance of conical shaped fruit, with strong brightness (≥71.00) and absence of cavity (≥92.00), external color and fruit pulp ranging from medium to dark red (≥72, 00, and ≥71.00, respectively), as well as high percentages of marketable fruit (medium, large, and very large sizes), except for the commercial cultivars Dover and Festival. MCA89 and 'Albion' stood out for their largest fruit sizes with 80.25% and 84.45%, respectively, considering the attractive sizes for marketing. Size is the first characteristic of fruit appearance evaluated by consumers, at the time of product purchase, followed by general aspects such as bright red color, brightness, absence of pathogens, and fruit turgidity (Hasing et al., 2012HASING, T.; OSORIO, L.F.; WHITAKER, V.M. Estimation of genetic parameter and gains for color trats of strawberry. Euphytica, v. 186, p. 303-331, 2012. DOI: https://doi.org/10.1007/s10681-011-0566-z.
https://doi.org/10.1007/s10681-011-0566-...
; Zeist & Resende, 2019ZEIST, A.R.; RESENDE, J.T.V. de. Strawberry breeding in Brazil: current momentum and perspectives. Horticultura Brasileira, v. 37, p. 7-16, 2019. DOI: https://doi.org/10.1590/S0102-053620190101.
https://doi.org/10.1590/S0102-0536201901...
).
In addition, the MCA89 genotype stood out for having some characteristics that set it apart from the others, such as an achene position below the surface, more intense pulp color (dark red), the position of the sepals above the fruit and most fruit in globular shape (Figure 2). It is noteworthy that in all previous stages of selection of this breeding program, this experimental clone has been highlighted by its high commercial standard (Galvão et al., 2017GALVÃO, A.G.; RESENDE, L.V.; MALUF, W.R.; RESENDE, J.T.V. de; FERRAZ, A.K.L.; MARODIN, J.C. Breeding new improved clones for strawberry production in Brazil. Acta Scientiarum. Agronomy, v. 39, p. 149-155, 2017. DOI: https://doi.org/10.4025/actasciagron.v39i2.30773.
https://doi.org/10.4025/actasciagron.v39...
; Vieira et al., 2017VIEIRA, S.D.; SOUZA, D.C. de; MARTINS, I.A.; RIBEIRO, G.H.M.R.; RESENDE, L.V.; FERRAZ, A.K.L.; GALVÃO, A.G.; RESENDE, J.T.V. de. Selection of experimental strawberry (Fragaria x ananassa) hybrids based on selection indices. Genetics and Molecular Research, v. 16, gmr16019052, 2017. DOI: https://doi.org/10.4238/gmr16019052.
https://doi.org/10.4238/gmr16019052....
; Souza et al., 2019SOUZA D.C. de; OSSANI, P.C.; RESENDE, L.V.; CIRILLO, M.Â.; SILVA, L.F.L. e; XAVIER, J.B. Variabilidade genética entre cultivares comerciais e híbridos experimentais de morangueiro com ênfase em análise de múltiplos fatores. Magistra, v. 30, p. 48-59, 2019.).
In the graphical analysis (Figure 3), the coordinates of the points depict the chi-square distance projected on the corresponding axis (Silva, 2012SILVA, Y.V. da. Análise de correspondência: uma abordagem geométrica. 2012. 140p. Dissertação (Mestrado) – Universidade Federal de Viçosa, Viçosa. Available at: <https://www.locus.ufv.br/bitstream/123456789/4058/1/texto%20completo%20.pdf>. Accessed on: Oct. 10 2021.
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). The chisquare test with 574 degrees of freedom and p-value: 1.0x10-9, at 5% probability, indicated that there was dependence and, consequently, an association between the variables. The results of this association were explained in a two-dimensional space, which is established by the distances between the points that represent the genotypes (in red) and the points that represent the analyzed characteristics (in blue). Thus, the closer the characteristics are to the genotypes, the more associated they will be. The variation explained in the first two axes was 58.73% of the sample variation.
Graphical representation of the simple correspondence analysis related to the association between the genotypes (red) and the evaluated variables (blue) of strawberry fruit (Fragaria x ananassa) from different genotypes. Morphological descriptors according to UPOV (2012)UPOV. International Union for the Protection of New Varieties of Plants. Guidelines for the conduct of tests for distinctness, uniformity and stability: Strawberry: UPOV Code: Fraga: Fragaria L. Geneva, 2012. Available at: <https://www.upov.int/edocs/tgdocs/en/tg022.pdf>. Accessed on: Oct. 1 2021.
https://www.upov.int/edocs/tgdocs/en/tg0... .
Characteristics of the genotypes show at least one of the morphological characteristics that differentiate it from the others (Figure 1).
In the results of the simple correspondence analyses performed between the 15 genotypes and traits, there was a high similarity between the evaluated genotypes for the characteristics analyzed, which confirmed by the point cloud concentrated in the center (Figure 3). These genotypes show common fruit characteristics such as conical fruit shape, bright red coloration and small cavity. However, genotypes that have distanced themselves from the origin are the least similar in comparison to the others (Figure 3).
The genotypes MDA22, MOGSC468, MDA19, MCA94, and MCA89, and 'Aromas' and 'Pircinque' distanced themselves from the center’s genotypes, and among them, according to specific characteristics. Thus, the dark red color of the fruit (color 13) and the large size of the fruit (size 7) were strongly associated with MDA19. However, the clone MCA94 showed a strong association with large size (size 7) and medium red heart color (heart 5); similarly, 'Aromas' and MDA22 genotypes showed the greatest association with the number of very small fruit (size 1), whitish pulp color (pulp color 1), white heart color (heart 1) and inserted sepals (sepals 1); MOGSC468 distanced from the other genotypes because it was associated with the absence of fruit with large cavity (cavity 5), a greater amount of reniform fruit (form 1), and medium orange coloration (color 5), in relation to the other genotypes.
The characteristics that separated them were large fruit size and high sepal insertion (MDA19), globular shape of fruit, and dark red color of flesh (MCA89), high percentage of small fruit (MDA22), and higher percentage of red-orange fruit (MCA94). The clone MCA89 and the cultivar Pircinque were the most divergent in relation to the other evaluated genotypes. No genotype was associated with the characteristics that occupied the margins of the axes. The level of genetic similarity observed in the present study corroborates the findings by several authors (Morales et al., 2011MORALES, R.G.F.; RESENDE, J.T.V. de; FARIA, M.V.; SILVA, P.R. da; FIGUEREDO, A.S.T.; CARMINATTI, R. Divergência genética em cultivares de morangueiro baseada em caracteres morfoagronômicos. Revista Ceres, v. 58, p. 323-329, 2011. DOI: https://doi.org/10.1590/S0034-737X2011000300012.
https://doi.org/10.1590/S0034-737X201100...
; Gezan et al., 2017GEZAN, S.A.; OSORIO, L.F.; VERMA, S.; WHITAKER, V.M. An experimental validation of genomic selection in octoploid strawberry. Horticulture Research, v. 4, art.16070, 2017. DOI: https://doi.org/10.1038/hortres.2016.70.
https://doi.org/10.1038/hortres.2016.70....
; Whitaker et al., 2020WHITAKER, V.M.; KNAPP, S.J.; HARDIGAN, M.A.; EDGER, P.P.; SLOVIN, J.P.; BASSIL, N.V.; HYTÖNEN, T.; MACKENZIE, K.K.; LEE, S.; JUNG, S.; MAIN, D.; BARBEY, C.R.; VERMA, S. Roadmap for research in octoploid strawberry. Horticulture Research, v. 7, art.33, 2020. DOI: https://doi.org/10.1038/s41438-020-0252-1.
https://doi.org/10.1038/s41438-020-0252-...
). These authors suggest that breeding programs use common parents, or parents. The sharing of genetic material among common ancestors in breeding programs can influence the genetic similarity between cultivars. In fact, in the present study, parents used to obtain hybrids have common ancestors.
The multiple correspondence analysis (MCA) could be represented in a two-dimensional space, since the first two components explained 41.43% of the sample variation (Figure 4). In general, a strong association is observed between the characteristics positioned in the center of origin in the graph. Characteristics such as large and medium cavity (cavity 5 and cavity 3) and reniform shape (form 1) showed a certain association and, given the distances of the points, these characteristics – together with those of red blackish (color 13) and whitish yellow (color 1) – were distinguished from the other characteristics.
Graphical representation of the multiple correspondence analysis related to the association between the analyzed variables of strawberry fruit (Fragaria x ananassa) from different genotypes. Morphological descriptors according to UPOV (2012)UPOV. International Union for the Protection of New Varieties of Plants. Guidelines for the conduct of tests for distinctness, uniformity and stability: Strawberry: UPOV Code: Fraga: Fragaria L. Geneva, 2012. Available at: <https://www.upov.int/edocs/tgdocs/en/tg022.pdf>. Accessed on: Oct. 1 2021.
https://www.upov.int/edocs/tgdocs/en/tg0... .
The approximation of the points in the graph indicates that there is an association between some characteristics, which may allow indirect selection. There was a strong association between the external color of the fruit and the color of the pulp, as well as between the reniform shape and the presence of a cavity.
Contrary to what was observed in the present work, some authors reported that there is no genetic relationship between the internal and external color of the fruit (Hernanz et al., 2008HERNANZ, D.R.; RECAMALES, A.F.; MELÉNDEZ-MARTÍNEZ, A.J.; GONZÁLEZ-MIRET, M.L.; HEREDIA, F.J. Multivariate statistical analysis of the color-anthocyanin relationships in different soilless-grown strawberry genotypes. Journal of Agricultural and Food Chemistry, v. 56, p. 2735-2741, 2008. DOI: https://doi.org/10.1021/jf073389j.
https://doi.org/10.1021/jf073389j....
), since these characteristics are governed by different sets of genes (Deng & Davis, 2001DENG, C.; DAVIS, T.M. Molecular identification of the yellow fruit color (c) locus in diploid strawberry: a candidate gene approach. Theoretical and Applied Genetics, v. 103, p. 316-322, 2001. DOI: https://doi.org/10.1007/s001220100648.
https://doi.org/10.1007/s001220100648....
). However, other authors observed that in addition to the genetic factor, the cultivation environment, and crop management impacts on the synthesis of anthocyanins show a direct relationship between the external and internal colors of fruit (Blancquaert et al., 2019BLANCQUAERT, E.H.; OBERHOLSTER, A.; RICARDODA-SILVA, J.M.; DELOIRE, A.J. Effects of abiotic factors on phenolic compounds in the Grape Nerry - A review. South African Journal of Enology and Viticulture, v. 40, 2019. DOI: https://doi.org/10.21548/40-1-3060.
https://doi.org/10.21548/40-1-3060....
).
In the present work, the association of simple and multiple correspondence analyses allowed to highlight the experimental clones MCA89 and MDA22 that have their own characteristics which, in turn, also stood out in other stages of the program for productive and chemical characters (Vieira et al., 2017VIEIRA, S.D.; SOUZA, D.C. de; MARTINS, I.A.; RIBEIRO, G.H.M.R.; RESENDE, L.V.; FERRAZ, A.K.L.; GALVÃO, A.G.; RESENDE, J.T.V. de. Selection of experimental strawberry (Fragaria x ananassa) hybrids based on selection indices. Genetics and Molecular Research, v. 16, gmr16019052, 2017. DOI: https://doi.org/10.4238/gmr16019052.
https://doi.org/10.4238/gmr16019052....
; Souza et al., 2019SOUZA D.C. de; OSSANI, P.C.; RESENDE, L.V.; CIRILLO, M.Â.; SILVA, L.F.L. e; XAVIER, J.B. Variabilidade genética entre cultivares comerciais e híbridos experimentais de morangueiro com ênfase em análise de múltiplos fatores. Magistra, v. 30, p. 48-59, 2019.). Meeting the high expectations of consumers is a challenge for breeders in the selection of genotypes based on appearance attributes (Zeist & Resende, 2 019).
The evaluated genotypes showed a similar behavior with each other for mass loss over the storage time of 5.60±1.0, 67%, except for the experimental genotype MDA23 and the cultivar Aromas that showed the greatest mass loss of mass over the storage period – 14.57%, and 16.78%, respectively (Figure 5). From the sixth day onwards, a greater mass loss began to occur in all genotypes, and it was more accentuated in MCA89 and less accentuated in MFA443PR.
Loss of fruit mass of different strawberry genotypes (Fragaria x ananassa) during ten days of storage.
In the split between genotypes, throughout the evaluation for storage time and fruit appearance, fruit were showed good appearance with no variation between genotypes at the fourth day (Table 2). On the sixth day of storage, only the experimental genotypes MDA19, MFA443 and the commercial cultivar Festival received scores close to three, which did not differ statistically from the fourth day. Strawberry 'Dover' also received a score close to three, but began to differ statistically from the sixth day. On the tenth day of storage, only MDA01(1.83), MDA19 (2.0), MCA89 (2.0), MFA443 (2.0) and 'Dover' (2.17) showed reasonable appearance according to evaluators, since they received grades two or above.
Average score related to the appearance of strawberry fruit (Fragaria x ananassa) from different genotypes in relation to storage time(1) (1) Means followed by equal lowercase letters, in the columns, and uppercase letters, in the lines, do not differ by Scott-Knott’s test, at 5% probability. .
Fruit weight loss is an important parameter to determine the useful life of fresh fruits and vegetables because not only it is responsible for the deterioration of the visual appearance, but also for changes in texture, flavor, and nutritional value, therefore, it is an important factor in the definition of quality (Brasil & Siddiqui, 2018BRASIL, I.M.; SIDDIQUI, M.W. Postharvest quality of fruits and vegetables: an overview. In: SIDDIQUI, M.W. (Ed.). Preharvest modulation of postharvest fruit and vegetable quality. London: Elsevier, 2018. p. 1-40. DOI: https://doi.org/10.1016/B978-0-12-809807-3.00001-9.
https://doi.org/10.1016/B978-0-12-809807...
).
In the present work, weight loss was 5.60±1.67% for most genotypes after ten days of storage. These results are in line with those obtained by other authors. The total weight loss of the harvest at the 7th day of storage, analyzed in two consecutive years of the strawberry 'Festival', varied from 7.2% (90% RH) to 19% (40% RH) in the first year, and from 5.7% (90% RH) to 15.5% (40% RH) in the second year (Ktenioudaki et al., 2019KTENIOUDAKI, A.; O’DONNELL, C.P.; NUNES, M.C. do N. Modelling the biochemical and sensory changes of strawberries during storage under diverse relative humidity conditions. Postharvest Biologyt and Technology, v. 154, p. 148-158, 2019. DOI: https://doi.org/10.1016/j.postharvbio.2019.04.023.
https://doi.org/10.1016/j.postharvbio.20...
), and from 4.5% for the 'Parous' (Hosseinifarahi et al., 2020HOSSEINIFARAHI, M.; JAMSHIDI, E.; AMIRI, S.; KAMYAB, F.; RADI, M. Quality, phenolic content, antioxidant activity, and the degradation kinetic of some quality parameters in strawberry fruit coated with salicylic acid and Aloe vera gel. Journal of Food Processing and Preservation, v. 44, e14647, 2020. DOI: https://doi.org/10.1111/jfpp.14647.
https://doi.org/10.1111/jfpp.14647....
). The latter author emphasizes that the loss of mass in strawberry fruit is due to high rates of respiration and perspiration because of this fruit does not have waxy substances in the outer skin. Several authors agree that the maximum mass loss that is commercially acceptable for strawberries should be lower than 6%, before becoming unacceptable for commercialization (Brasil & Siddiqui, 2018BRASIL, I.M.; SIDDIQUI, M.W. Postharvest quality of fruits and vegetables: an overview. In: SIDDIQUI, M.W. (Ed.). Preharvest modulation of postharvest fruit and vegetable quality. London: Elsevier, 2018. p. 1-40. DOI: https://doi.org/10.1016/B978-0-12-809807-3.00001-9.
https://doi.org/10.1016/B978-0-12-809807...
), and the loss of fresh weight above 10% is an indicator of loss of quality in strawberries (Mirahmadi et al., 2011MIRAHMADI, F.; HANAFI, Q.M.; ALIZADEH, M.; MOHAMADI, H.; SARSAIFEE, M. Effect of low temperature on physico-chemical properties of different strawberry cultivars. African Journal of Food Science and Technology, v. 2, p. 109-115, 2011.), which causes the rejection of the fruit by consumers. In the present study, most of the genotypes showed a loss of mass of less than 6% during the entire storage period, except for MDA23 and 'Aromas'.
Conclusions
-
1. The evaluated genotypes show high similarity to one another for the morphological characterization.
-
2. The clone MCA89 and the cultivar Pircinque are the most divergent in comparison to the other evaluated genotypes.
-
3. There is an association between the characteristics large cavity, reniform shape, and medium cavity, which contributes for indirect selection of desirable characters.
-
4. On the tenth day of storage, the genotypes MDA01, MDA19, MCA89, MFA443 and 'Dover' still show acceptable conditions for marketing.
Acknowledgments
To Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and to Fundação de Amparo à Pesquisa do Estado de Minas Gerais (Fapemig), for financial support; and to Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Capes, Finance Code 001), for granting scholarships.
References
- ALVARES, C.A.; STAPE, J.L.; SENTELHAS, P.C.; GONÇALVES, J.L. de M.; SPAROVEK, G. Koppen’s climate classification map for Brazil. Meteorologische Zeitschrift, v. 22, p. 711-728, 2013. DOI: https://doi.org/10.1127/0941-2948/2013/0507.
» https://doi.org/10.1127/0941-2948/2013/0507 - ALVES, M.C.; MATOSO, E.S.; PEIL, R.M.N. What is the profile of strawberry producers in the south Brazilian region and what do they think about substrate cultivation? Horticultura Brasileira, v. 38, p. 428-433, 2020. DOI: https://doi.org/10.1590/s0102-0536202004014.
» https://doi.org/10.1590/s0102-0536202004014 - ANDRADE JÚNIOR, V.C.; GUIMARÃES, A.G.; AZEVEDO, A.M.; PINTO, N.A.V.D.; FERREIRA, M.A.M. Conservação póscolheita de frutos de morangueiro em diferentes condições de armazenamento. Horticultura Brasileira, v. 34, p. 405-411, 2016. DOI: https://doi.org/10.1590/S0102-05362016003016.
» https://doi.org/10.1590/S0102-05362016003016 - BLANCQUAERT, E.H.; OBERHOLSTER, A.; RICARDODA-SILVA, J.M.; DELOIRE, A.J. Effects of abiotic factors on phenolic compounds in the Grape Nerry - A review. South African Journal of Enology and Viticulture, v. 40, 2019. DOI: https://doi.org/10.21548/40-1-3060.
» https://doi.org/10.21548/40-1-3060 - BRASIL, I.M.; SIDDIQUI, M.W. Postharvest quality of fruits and vegetables: an overview. In: SIDDIQUI, M.W. (Ed.). Preharvest modulation of postharvest fruit and vegetable quality London: Elsevier, 2018. p. 1-40. DOI: https://doi.org/10.1016/B978-0-12-809807-3.00001-9.
» https://doi.org/10.1016/B978-0-12-809807-3.00001-9 - DENG, C.; DAVIS, T.M. Molecular identification of the yellow fruit color (c) locus in diploid strawberry: a candidate gene approach. Theoretical and Applied Genetics, v. 103, p. 316-322, 2001. DOI: https://doi.org/10.1007/s001220100648.
» https://doi.org/10.1007/s001220100648 - FAGHERAZZI, A.F.; GRIMALDI, F.; KRETZSCHMAR, A.A.; MOLINA, A.R.; GONÇALVES, M.A.; ANTUNES, L.E.C.; BARUZZI, G.; RUFATO, L. Strawberry production progress in Brazil. Acta Horticulturae, v. 1156, p. 937-940, 2017. DOI: https://doi.org/10.17660/ActaHortic.2017.1156.138.
» https://doi.org/10.17660/ActaHortic.2017.1156.138 - FERNÁNDEZ-LARA, R.; GORDILLO, B.; RODRÍGUEZ-PULIDO, F.J.; GONZÁLEZ-MIRET, M.L.; DEL VILLAR-MARTÍNEZ, A.A.; DÁVILA-ORTIZ, G.; HEREDIA, F.J. Assessment of the differences in the phenolic composition and color characteristics of new strawberry (Fragaria x ananassa Duch.) cultivars by HPLC-MS and imaging tristimulus colorimetry. Food Research International, v. 76, p. 645-653, 2015. DOI: https://doi.org/10.1016/j.foodres.2015.07.038.
» https://doi.org/10.1016/j.foodres.2015.07.038 - GALVÃO, A.G.; RESENDE, L.V.; GUIMARAES, R.M.; FERR A Z, A.K.L.; MOR A LES, R.G.F.; MARODI N, J.C.; CATÃO, H.C.R.M. Overcoming strawberry achene dormancy for improved seedling production in breeding programs. Idesia, v. 32, p. 57-62, 2014. DOI: https://doi.org/10.4067/S0718-34292014000400007.
» https://doi.org/10.4067/S0718-34292014000400007 - GALVÃO, A.G.; RESENDE, L.V.; MALUF, W.R.; RESENDE, J.T.V. de; FERRAZ, A.K.L.; MARODIN, J.C. Breeding new improved clones for strawberry production in Brazil. Acta Scientiarum. Agronomy, v. 39, p. 149-155, 2017. DOI: https://doi.org/10.4025/actasciagron.v39i2.30773.
» https://doi.org/10.4025/actasciagron.v39i2.30773 - GEZAN, S.A.; OSORIO, L.F.; VERMA, S.; WHITAKER, V.M. An experimental validation of genomic selection in octoploid strawberry. Horticulture Research, v. 4, art.16070, 2017. DOI: https://doi.org/10.1038/hortres.2016.70.
» https://doi.org/10.1038/hortres.2016.70 - GOMES, K.B.P.; OLIVEIRA, G.H.H.; CARVALHO, J.P.; CAVALCANTE, D.F. da S.; VILLA-REAL, M.E. Diagnóstico da cadeia produtiva do morango dos agricultores familiares do Distrito Federal. Revista Eixo, v. 2, p. 9-14, 2013. DOI: https://doi.org/10.19123/eixo.v2i2.110.
» https://doi.org/10.19123/eixo.v2i2.110 - GUIMARÃES, A.G.; ANDRADE, J.V.C.; AZEVEDO, A.M.; GUEDES, T.J.; PINTO, N.A.V.D. Quality of strawberry grown in Brazilian tropical humid conditions for breeding programs. Fruits, v. 71, p. 151-160, 2016. DOI: https://doi.org/10.1051/fruits/2016007.
» https://doi.org/10.1051/fruits/2016007 - HASING, T.; OSORIO, L.F.; WHITAKER, V.M. Estimation of genetic parameter and gains for color trats of strawberry. Euphytica, v. 186, p. 303-331, 2012. DOI: https://doi.org/10.1007/s10681-011-0566-z.
» https://doi.org/10.1007/s10681-011-0566-z - HERNANZ, D.R.; RECAMALES, A.F.; MELÉNDEZ-MARTÍNEZ, A.J.; GONZÁLEZ-MIRET, M.L.; HEREDIA, F.J. Multivariate statistical analysis of the color-anthocyanin relationships in different soilless-grown strawberry genotypes. Journal of Agricultural and Food Chemistry, v. 56, p. 2735-2741, 2008. DOI: https://doi.org/10.1021/jf073389j.
» https://doi.org/10.1021/jf073389j - HOSSEINIFARAHI, M.; JAMSHIDI, E.; AMIRI, S.; KAMYAB, F.; RADI, M. Quality, phenolic content, antioxidant activity, and the degradation kinetic of some quality parameters in strawberry fruit coated with salicylic acid and Aloe vera gel. Journal of Food Processing and Preservation, v. 44, e14647, 2020. DOI: https://doi.org/10.1111/jfpp.14647.
» https://doi.org/10.1111/jfpp.14647 - KTENIOUDAKI, A.; O’DONNELL, C.P.; NUNES, M.C. do N. Modelling the biochemical and sensory changes of strawberries during storage under diverse relative humidity conditions. Postharvest Biologyt and Technology, v. 154, p. 148-158, 2019. DOI: https://doi.org/10.1016/j.postharvbio.2019.04.023.
» https://doi.org/10.1016/j.postharvbio.2019.04.023 - MAKSIMOVIĆ, J.D.; POLEDICA, M.; MUTAVDŽIĆ, D.; MOJOVIĆ, M.; RADIVOJEVIĆ, D.; MILIVOJEVIĆ, J. Variation in nutritional quality and chemical composition of fresh strawberry fruit: combined effect of cultivar and storage. Plant Foods for Human Nutrition, v. 70, p. 77-84, 2015. DOI: https://doi.org/10.1007/s11130-014-0464-3.
» https://doi.org/10.1007/s11130-014-0464-3 - MALGARIM, M.B.; CANTILLANO, R.F.F.; COUTINHO, E.F. Sistemas e condições de colheita e armazenamento na qualidade de morangos cv. Camarosa. Revista Brasileira de Fruticultura, v. 28, p. 185-189, 2006. DOI: https://doi.org/10.1590/S0100-29452006000200007.
» https://doi.org/10.1590/S0100-29452006000200007 - MICROSOFT. Microsoft Excel version 365. 2019. Available at: <https://office.microsoft.com/excel>. Accessed on: Jan. 4 2021.
» https://office.microsoft.com/excel - MIRAHMADI, F.; HANAFI, Q.M.; ALIZADEH, M.; MOHAMADI, H.; SARSAIFEE, M. Effect of low temperature on physico-chemical properties of different strawberry cultivars. African Journal of Food Science and Technology, v. 2, p. 109-115, 2011.
- MORALES, R.G.F.; RESENDE, J.T.V. de; FARIA, M.V.; SILVA, P.R. da; FIGUEREDO, A.S.T.; CARMINATTI, R. Divergência genética em cultivares de morangueiro baseada em caracteres morfoagronômicos. Revista Ceres, v. 58, p. 323-329, 2011. DOI: https://doi.org/10.1590/S0034-737X2011000300012.
» https://doi.org/10.1590/S0034-737X2011000300012 - OSSANI, P.C.; CIRILLO, M.A. M Var: Multivariate analysis. R package version 2.1.3. 2020. Available at: <https://cran.r-project.org/web/packages/MVar/>. Accessed on: Mar. 16 2021.
» https://cran.r-project.org/web/packages/MVar/ - R CORE TEAM. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing, 2020. Available at: <http://www.R-project.org>. Accessed on: May 12 2020.
» http://www.R-project.org - RIBEIRO, A.C.; GUIMARÃES, P.T.G.; ALVAREZ V., V.H. (Ed.). Recomendações para o uso de corretivos e fertilizantes em Minas Gerais: 5a Aproximação. Viçosa: Comissão de Fertilidade do Solo do Estado de Minas Gerais. 1999. 359p.
- SILVA, Y.V. da. Análise de correspondência: uma abordagem geométrica. 2012. 140p. Dissertação (Mestrado) – Universidade Federal de Viçosa, Viçosa. Available at: <https://www.locus.ufv.br/bitstream/123456789/4058/1/texto%20completo%20.pdf>. Accessed on: Oct. 10 2021.
» https://www.locus.ufv.br/bitstream/123456789/4058/1/texto%20completo%20.pdf - SOUZA D.C. de; OSSANI, P.C.; RESENDE, L.V.; CIRILLO, M.Â.; SILVA, L.F.L. e; XAVIER, J.B. Variabilidade genética entre cultivares comerciais e híbridos experimentais de morangueiro com ênfase em análise de múltiplos fatores. Magistra, v. 30, p. 48-59, 2019.
- SOUZA, D.C. de; VIEIRA, S.D.; RESENDE, L.V.; GALVÃO, A.G.; FERRAZ, A.K.L.; RESENDE, J.T.V. de; ELIAS, H.H. de S. Propriedades físico-químicas em frutos de híbridos experimentais de morangueiro. Agrotrópica, v. 29, p. 85-96, 2017. DOI: https://doi.org/10.21757/0103-3816.2017v29n1p85-96.
» https://doi.org/10.21757/0103-3816.2017v29n1p85-96 - TAHIR, H.E.; XIAOBO, Z.; JIYONG, S.; MAHUNU, G.K.; ZHAI, X.; MARIOD, A.A. Quality and postharvest-shelf life of cold-stored strawberry fruit as affected by gum arabic (Acacia senegal) edible coating. Journal of Food Biochemistry, v. 42, e12527, 2018. DOI: https://doi.org/10.1111/jfbc.12527.
» https://doi.org/10.1111/jfbc.12527 - UPOV. International Union for the Protection of New Varieties of Plants. Guidelines for the conduct of tests for distinctness, uniformity and stability: Strawberry: UPOV Code: Fraga: Fragaria L. Geneva, 2012. Available at: <https://www.upov.int/edocs/tgdocs/en/tg022.pdf>. Accessed on: Oct. 1 2021.
» https://www.upov.int/edocs/tgdocs/en/tg022.pdf - VIEIRA, S.D.; SOUZA, D.C. de; MARTINS, I.A.; RIBEIRO, G.H.M.R.; RESENDE, L.V.; FERRAZ, A.K.L.; GALVÃO, A.G.; RESENDE, J.T.V. de. Selection of experimental strawberry (Fragaria x ananassa) hybrids based on selection indices. Genetics and Molecular Research, v. 16, gmr16019052, 2017. DOI: https://doi.org/10.4238/gmr16019052.
» https://doi.org/10.4238/gmr16019052 - WHITAKER, V.M.; KNAPP, S.J.; HARDIGAN, M.A.; EDGER, P.P.; SLOVIN, J.P.; BASSIL, N.V.; HYTÖNEN, T.; MACKENZIE, K.K.; LEE, S.; JUNG, S.; MAIN, D.; BARBEY, C.R.; VERMA, S. Roadmap for research in octoploid strawberry. Horticulture Research, v. 7, art.33, 2020. DOI: https://doi.org/10.1038/s41438-020-0252-1.
» https://doi.org/10.1038/s41438-020-0252-1 - ZEIST, A.R.; RESENDE, J.T.V. de. Strawberry breeding in Brazil: current momentum and perspectives. Horticultura Brasileira, v. 37, p. 7-16, 2019. DOI: https://doi.org/10.1590/S0102-053620190101.
» https://doi.org/10.1590/S0102-053620190101 - ZENEBON, O.; PASCUET, N.S.; TIGLEA, P. (Coord.). Métodos físico-químicos para análise de alimentos 4.ed., 1.ed. digital. São Paulo: Instituto Adolfo Lutz, 2008. 1020p.
Publication Dates
-
Publication in this collection
28 Feb 2022 -
Date of issue
2021
History
-
Received
13 May 2021 -
Accepted
29 Oct 2021