Estimativa indireta de teores de licopeno em frutos de genótipos de tomateiro via análise colorimétrica

Carvalho, W. M. de; Fonseca, Maria Esther de Noronha; Silva, Henoque R. da; Boiteux, L. S.; Giordano, Leonardo de B.

doi:10.1590/s0102-05362005000300026

Cited by 42 publications

(19 citation statements)

References 18 publications

(2 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The high r 2 value estimated for the validation sample indicates that the trained network is efficient and has the power of generalization. The prediction efficiency found in this study is higher than that observed by Carvalho et al (2005), r 2 = 0.90% for lycopene prediction, using the colorimetric data of tomatoes. On the other hand, Seroczyńska et al (2006) and Doka et al (2013) found r 2 of 0.92 and 0.96%, respectively, when predicting the β-carotene content using the colorimetric data of pumpkin.…”

Section: Resultscontrasting

confidence: 86%

See 1 more Smart Citation

High-efficiency phenotyping for vitamin A in banana using artificial neural networks and colorimetric data

2016

View full text Add to dashboard Cite

show abstract

Section: Resultscontrasting

confidence: 86%

“…This analytical approach has been used in tomato (Carvalho et al 2005;Fernandez-Ruiz et al 2010), pumpkin (Seroczyńska et al 2006;Itle and Kabelka 2009;Doka et al 2013), and potato (Lu et al 2001). The indirect estimate of the carotenoid content can reduce the time, labor and financial resources in the evaluation stages.…”

Section: Introductionmentioning

confidence: 99%

High-efficiency phenotyping for vitamin A in banana using artificial neural networks and colorimetric data

2016

View full text Add to dashboard Cite

show abstract

“…Besides that, lycopene directly interferes in fruit appearance, influencing acceptance of consumers. The tomato external coloration results from pulp and peel pigmentation, which is conditioned by the total concentration of carotenoids, influenced by the relation lycopene/beta-carotene, which gives red color to fruits (Santos Junior et al, 2003;Carvalho et al, 2005).…”

Section: Resultsmentioning

confidence: 99%

Tomato post-harvest durability and physicochemical quality depending on silicon sources and doses

et al. 2016

View full text Add to dashboard Cite

This study aimed to investigate the effect of silicon (Si) sources and doses on the physicochemical quality as well as post-harvest conservation of tomato fruits. Treatments were arranged in a 3 x 5 factorial scheme corresponding to sources [calcium silicate, potassium silicate and sodium silicate] and five doses of Si (equivalent to 0, 100, 200, 400 and 800 kg/ha SiO 2 ). Randomized blocks were the experimental design, with four replications. Soluble solids, vitamin C, lycopene, titratable acidity, mature fruit firmness, initial firmness, firmness half-life, time until reaching firmness equivalent to 3.0 x 10 4 N/m 2 and 2.0 x 10 4 N/m 2 and Si content in fruits were evaluated. Soluble solids, vitamin C and lycopene of fruits increased with increasing doses of Si, except for the highest dose. Calcium and sodium silicate provided the highest lycopene concentration in fruits. An increase in initial firmness, number of days until reaching firmness half-life and firmness equivalent to 3.0 and 2.0 x 10 4 N/m 2 were observed along with increasing doses of Si. Tomato fertilization with calcium silicate, potassium silicate and sodium silicate, used as sources of Si, increased the post-harvest conservation as well as the physicochemical quality of tomato.

show abstract

“…This is important because the evaluation of the yellow hue (pulp b* and pulp h o ) using a colorimeter is less expensive and easier to carry out. Spectrophotometric methods described in the literature for determination of carotenoids are accurate, but very laborious to evaluate numerous progenies, requiring the use of an excessive amount of reagents and time (Carvalho et al, 2005). In tomato, studies investigating the intensity of correlation between chromaticity and pigment concentrations have shown good correlation between fruit color and lycopene content, the predominant carotenoid in this fruit (D'SOUZA et al, 1992;ARIAS et al, 2000).…”

Section: Methodsmentioning

confidence: 99%

Repeatability, correlation and path analysis of physical and chemical characteristics of peach fruits

Matias¹,

Bruckner²,

Carneiro³

et al. 2014

Rev. Bras. Frutic.

View full text Add to dashboard Cite

-This study aimed to determine the number of measurements necessary to evaluate physical and chemical characteristics of peach fruits, study the relationships between them and their direct and indirect effects on the content of ascorbic acid and total carotenoids. The characteristics skin and pulp color, fruit weight, suture, equatorial and polar diameters, firmness, soluble solids (SS), titratable acidity (TA), SS/TA ratio, ascorbic acid and total carotenoids were evaluated in 39 cultivars of peach and 3 cultivars of nectarine from the orchard of the Universidade Federal de Viçosa. The repeatability coefficient was estimated by ANOVA and CPCOR. Phenotypic correlation coefficients (rf) were estimated and, after the multicollinearity diagnostics, they were unfolded to direct and indirect effects of the explanatory variables on the response variable using path analysis. There was agreement on the magnitude of repeatability coefficients obtained by the two methods; however, they varied among the 14 characteristics. The highest correlations were found between FW, SD, ED and PD. Seven fruits are sufficient to evaluate the physical and chemical characteristics of peach with a correlation coefficient of 90%. The characteristics considered in the path diagrams (b* skin, h o skin, b* pulp, h o pulp, ED, PD, FIR, SS, SS/AT and TC) are not the main determinants of the ascorbic acid. The yellow hue of the pulp (h o pulp) has the potential to be used in indirect selection for total carotenoids. index terms: Prunus persica, repeatability, fruit quality.repetiBilidade, correlaçÕes e anÁlise de trilha de caracterÍsticas fÍsicas e quÍmicas de frutos de pesseGueiro resumo -Objetivou-se determinar o número necessário de medições para a avaliação de características físicas e químicas de frutos de pessegueiro e avaliar as relações entre estas, bem como seus efeitos diretos e indiretos sobre o teor de ácido ascórbico e de carotenoides totais. As características cor da casca e da polpa, peso do fruto, diâmetros sutural, equatorial e polar, firmeza da polpa, sólidos solúveis (SS), acidez titulável (AT), relação SS/AT, teor de ácido ascórbico e carotenoides totais foram avaliadas em 39 cultivares de pessegueiro e 3 cultivares de nectarineira pertencentes ao pomar da Universidade Federal de Viçosa. O coeficiente de repetibilidade foi estimado pelos métodos da ANOVA e CPCOR. Foram estimados os coeficientes de correlação fenotípica (rf) e, após o diagnóstico de multicolinearidade, foi feito seu desdobramento em efeitos diretos e indiretos das variáveis explicativas sobre a variável básica, por meio da análise de trilha. Observou-se concordância nas magnitudes dos coeficientes de repetibilidade obtidos pelos dois métodos. No entanto, estes variaram entre as 14 características. Os maiores valores de correlações observados foram entre PF, DS, ED e DP. Sete frutos são suficientes para a avaliação das características físicas e químicas de frutos de pessegueiro com coeficiente de determinação de 90%. As características consideradas nos ...

show abstract

Estimativa indireta de teores de licopeno em frutos de genótipos de tomateiro via análise colorimétrica

Cited by 42 publications

References 18 publications

High-efficiency phenotyping for vitamin A in banana using artificial neural networks and colorimetric data

High-efficiency phenotyping for vitamin A in banana using artificial neural networks and colorimetric data

Tomato post-harvest durability and physicochemical quality depending on silicon sources and doses

Repeatability, correlation and path analysis of physical and chemical characteristics of peach fruits

Contact Info

Product

Resources

About