Aroma volatile changes in non-climacteric melons with introgression in linkage group X at three stages of maturity

Canales, I.; Fernández-Trujillo, J.P.; Bueso, María C.; Zarid, Mohamed

doi:10.17660/actahortic.2018.1194.50

Cited by 2 publications

(4 citation statements)

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“…Studies of the aroma of the parental line 'Piel de sapo' have demonstrated the inter-season variability and the lower aromatic potential compared with other climacteric varieties and, to a lesser extent, compared with almost non-climacteric or hybrid isogenic lines of the same type [2][3][4][5][6][7]. This pattern is typical of the inodorus cultivars studied by other authors [8,9].…”

Section: Introductionmentioning

confidence: 79%

“…In previous studies we tested different multivariate and univariate statistical methods for the data analysis of VOCs and other quality traits [2,3,5,6,13], also considering "zero" type data, when the VOC variable should be considered consistent [5], or even the use of deconvolution to reduce this problem [6,7]. The groups of different compound classes are of interest for the potential discrimination of physiological behavior or for quantitative trait loci (QTL) mapping of VOCs [5,6].…”

Section: Introductionmentioning

confidence: 99%

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Methodology to Remove Strong Outliers of Non-Climacteric Melon Fruit Aroma at Harvest Obtained by HS-SPME GC-MS Analysis

2018

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A methodology for making consistent studies of outliers of non-climacteric melon volatile organic compounds at harvest is reported. The juice was squeezed from the fruit of the 'Piel de sapo' cultivar harvested during two consecutive seasons and the aroma volatiles were extracted by headspace solid phase microextraction and measured by gas chromatography coupled to mass-spectrometry. A deconvolution analysis was performed to obtain volatile organic compounds. For multivariate the reliable identification of outliers, compound classes were studied as a percentage of total area counts of the melon compounds identified in the chromatogram by principal component analysis and partial least-squares discriminant analysis, and then verified by correlation analysis, box-whisker plot, and formal tests for univariate outliers. Principal component analysis was the key methodology for selecting outliers in variables that mostly did not follow a normal distribution. The presence of an excess in terms of relative percentage of area and the diversity of minor compounds such as alcohols, terpenes, acids, among others, are usually a sign of anomalous data that can be considered outliers in the aroma of this non-climacteric cultivar. This multivariate approach removed outliers, but kept the variability of aroma among the samples of every cultivar.

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Section: Introductionmentioning

confidence: 79%

Section: Introductionmentioning

confidence: 99%

Methodology to Remove Strong Outliers of Non-Climacteric Melon Fruit Aroma at Harvest Obtained by HS-SPME GC-MS Analysis

2018

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“…Studies of the aroma of the parental line 'Piel de Sapo' have demonstrated the interseason variability and the lower aromatic potential compared with other climacteric varieties and, to a lesser extent, compared with almost non-climacteric or hybrid isogenic lines of the same type (Obando-Ulloa et al, 2008;Canales et al, 2018). This pattern is typical of the inodorus cultivars studied by other authors (Verzera et al, 2011;Verzera et al, 2014).…”

Section: Introductionmentioning

confidence: 56%

“…In previous studies we tested different multivariate and univariate statistical methods for the data analysis of VOCs and other quality traits (Obando-Ulloa et al, 2008 andChaparro-Torres et al, 2016;Dos-Santos et al, 2013;Fernández-Trujillo et al, 2009), also considering "zero" type data, when the VOC variable should be considered consistent (Chaparro-Torres et al, 2016), or even the use of deconvolution to reduce this problem (Dos-Santos et al, 2013;Canales et al, 2018). The groups of different compound classes are of interest for the potential discrimination of physiological behavior or for quantitative trait loci (QTL) mapping of VOCs (Chaparro-Torres et al, 2016;Dos-Santos et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Association among aroma volatiles and other traits in one near-isogenic line with firm flesh texture

Zarid¹

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First and foremost, I would like to thank Allah Almighty for giving me the strength, knowledge, ability and opportunity to undertake these research studies. I would like to give special thanks to the dedication of my supervisor in the development of this PhD Thesis, Prof. Dr. Juan Pablo Fernández Trujillo for allowing me to complete the PhD Thesis under his guidance and support, as well as for the wisdom and counsel he has conveyed to me, also for the trust he has placed in me and my work, for his optimism, and for his ability to guide my ideas, not only in the development of this PhD Thesis but also in my development as a researcher.

show abstract

Aroma volatile changes in non-climacteric melons with introgression in linkage group X at three stages of maturity

Cited by 2 publications

References 16 publications

Methodology to Remove Strong Outliers of Non-Climacteric Melon Fruit Aroma at Harvest Obtained by HS-SPME GC-MS Analysis

Methodology to Remove Strong Outliers of Non-Climacteric Melon Fruit Aroma at Harvest Obtained by HS-SPME GC-MS Analysis

Association among aroma volatiles and other traits in one near-isogenic line with firm flesh texture

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