The Experts below are selected from a list of 21852 Experts worldwide ranked by ideXlab platform

Francisco J. Heredia - One of the best experts on this subject based on the ideXlab platform.

  • Carotenoids, color, and ascorbic acid content of a novel frozen-marketed orange juice.
    Journal of agricultural and food chemistry, 2007
    Co-Authors: Antonio J. Meléndez-martínez, Isabel M. Vicario, Francisco J. Heredia
    Abstract:

    A recently developed food, the so-called ultrafrozen orange juice (UFOJ), has been characterized in terms of carotenoid pigments, ascorbic acid, and color. The juice, obtained from Valencia late oranges, is frozen immediately after the squeezing of the oranges, which makes it a product showing good organoleptic and nutritional quality. In relation to the carotenoid profile, it was observed that the 5,6-epoxy carotenoids violaxanthin and antheraxanthin (specifically (9Z)-violaxanthin and (9Z)- or (9‘Z)-antheraxanthin), were by far the major pigments and that dihydroxycarotenoids predominate over monohydroxycarotenoids. As far as color was concerned, it was seen that there were little differences among the juices analyzed. The hue of the samples, ranging from 77.19° to 80.15° and from 79.99° to 83.04° depending on the kind of Instrumental Measurement, and their chroma (ranging from 63.06 to 72.25 and from 44.40 to 58.38) revealed readily that the juice surveyed exhibited a deep orangeish coloration, the col...

  • Instrumental Measurement of orange juice colour a review
    Journal of the Science of Food and Agriculture, 2005
    Co-Authors: Antonio J Melendezmartinez, Isabel M. Vicario, Francisco J. Heredia
    Abstract:

    Colour of orange juice is provided by carotenoids, which belong to one of the main classes of natural pigments, although the colour of particular orange varieties, blood oranges, is mainly due to anthocyanins. Colour of food influences consumers' preferences. For orange juices, some studies have revealed that the colour of citrus beverages in general is related to the consumer's perception of the quality of these products. The USA attaches great importance to the objective evaluation of orange juice colour, to the point that this attribute is evaluated for the commercial classification of the product on the basis of its quality. Apart from the importance of orange juice colour in relation to the quality of the product, it is important to accurately measure this parameter since it has been demonstrated that colour Measurements can be used to estimate the carotenoid content rapidly for quality control purposes. Owing to this factors, several techniques and instruments have been developed over the years. This review assesses these methods and the results gained from them. Copyright © 2005 Society of Chemical Industry

  • Instrumental Measurement of orange juice colour a review
    Journal of the Science of Food and Agriculture, 2005
    Co-Authors: Antonio J Melendezmartinez, Isabel M. Vicario, Francisco J. Heredia
    Abstract:

    Colour of orange juice is provided by carotenoids, which belong to one of the main classes of natural pigments, although the colour of particular orange varieties, blood oranges, is mainly due to anthocyanins. Colour of food influences consumers' preferences. For orange juices, some studies have revealed that the colour of citrus beverages in general is related to the consumer's perception of the quality of these products. The USA attaches great importance to the objective evaluation of orange juice colour, to the point that this attribute is evaluated for the commercial classification of the product on the basis of its quality. Apart from the importance of orange juice colour in relation to the quality of the product, it is important to accurately measure this parameter since it has been demonstrated that colour Measurements can be used to estimate the carotenoid content rapidly for quality control purposes. Owing to this factors, several techniques and instruments have been developed over the years. This review assesses these methods and the results gained from them.

Stefanie Muff - One of the best experts on this subject based on the ideXlab platform.

  • heritability selection and the response to selection in the presence of phenotypic Measurement error effects cures and the role of repeated Measurements
    Evolution, 2018
    Co-Authors: Erica Ponzi, Lukas F Keller, Timothee Bonnet, Stefanie Muff
    Abstract:

    Quantitative genetic analyses require extensive Measurements of phenotypic traits, a task that is often not trivial, especially in wild populations. On top of Instrumental Measurement error, some traits may undergo transient (i.e., nonpersistent) fluctuations that are biologically irrelevant for selection processes. These two sources of variability, which we denote here as Measurement error in a broad sense, are possible causes for bias in the estimation of quantitative genetic parameters. We illustrate how in a continuous trait transient effects with a classical Measurement error structure may bias estimates of heritability, selection gradients, and the predicted response to selection. We propose strategies to obtain unbiased estimates with the help of repeated Measurements taken at an appropriate temporal scale. However, the fact that in quantitative genetic analyses repeated Measurements are also used to isolate permanent environmental instead of transient effects requires that the information content of repeated Measurements is carefully assessed. To this end, we propose to distinguish "short-term" from "long-term" repeats, where the former capture transient variability and the latter help isolate permanent effects. We show how the inclusion of the corresponding variance components in quantitative genetic models yields unbiased estimates of all quantities of interest, and we illustrate the application of the method to data from a Swiss snow vole population.

  • heritability selection and the response to selection in the presence of phenotypic Measurement error effects cures and the role of repeated Measurements
    bioRxiv, 2018
    Co-Authors: Erica Ponzi, Lukas F Keller, Timothee Bonnet, Stefanie Muff
    Abstract:

    Quantitative genetic analyses require extensive Measurements of phenotypic traits, a task that is often not trivial, especially in wild populations. On top of Instrumental Measurement error, some traits may undergo transient (i.e. non-persistent) fluctuations that are biologically irrelevant for selection processes. These two sources of variability, which we denote here as Measurement error in a broad sense, are possible causes for bias in the estimation of quantitative genetic parameters. We illustrate how in a continuous trait transient effects with a classical Measurement error structure may bias estimates of heritability, selection gradients, and the predicted response to selection. We propose strategies to obtain unbiased estimates with the help of repeated Measurements taken at an appropriate temporal scale. However, the fact that in quantitative genetic analyses repeated Measurements are also used to isolate permanent environmental instead of transient effects, requires that the information content of repeated Measurements is carefully assessed. To this end, we propose to distinguish "short-term" from "long-term" repeats, where the former capture transient variability and the latter the permanent effects. We show how the inclusion of the corresponding variance components in quantitative genetic models yields unbiased estimates of all quantities of interest, and we illustrate the application of the method to data from a Swiss snow vole population.

Timothee Bonnet - One of the best experts on this subject based on the ideXlab platform.

  • heritability selection and the response to selection in the presence of phenotypic Measurement error effects cures and the role of repeated Measurements
    Evolution, 2018
    Co-Authors: Erica Ponzi, Lukas F Keller, Timothee Bonnet, Stefanie Muff
    Abstract:

    Quantitative genetic analyses require extensive Measurements of phenotypic traits, a task that is often not trivial, especially in wild populations. On top of Instrumental Measurement error, some traits may undergo transient (i.e., nonpersistent) fluctuations that are biologically irrelevant for selection processes. These two sources of variability, which we denote here as Measurement error in a broad sense, are possible causes for bias in the estimation of quantitative genetic parameters. We illustrate how in a continuous trait transient effects with a classical Measurement error structure may bias estimates of heritability, selection gradients, and the predicted response to selection. We propose strategies to obtain unbiased estimates with the help of repeated Measurements taken at an appropriate temporal scale. However, the fact that in quantitative genetic analyses repeated Measurements are also used to isolate permanent environmental instead of transient effects requires that the information content of repeated Measurements is carefully assessed. To this end, we propose to distinguish "short-term" from "long-term" repeats, where the former capture transient variability and the latter help isolate permanent effects. We show how the inclusion of the corresponding variance components in quantitative genetic models yields unbiased estimates of all quantities of interest, and we illustrate the application of the method to data from a Swiss snow vole population.

  • heritability selection and the response to selection in the presence of phenotypic Measurement error effects cures and the role of repeated Measurements
    bioRxiv, 2018
    Co-Authors: Erica Ponzi, Lukas F Keller, Timothee Bonnet, Stefanie Muff
    Abstract:

    Quantitative genetic analyses require extensive Measurements of phenotypic traits, a task that is often not trivial, especially in wild populations. On top of Instrumental Measurement error, some traits may undergo transient (i.e. non-persistent) fluctuations that are biologically irrelevant for selection processes. These two sources of variability, which we denote here as Measurement error in a broad sense, are possible causes for bias in the estimation of quantitative genetic parameters. We illustrate how in a continuous trait transient effects with a classical Measurement error structure may bias estimates of heritability, selection gradients, and the predicted response to selection. We propose strategies to obtain unbiased estimates with the help of repeated Measurements taken at an appropriate temporal scale. However, the fact that in quantitative genetic analyses repeated Measurements are also used to isolate permanent environmental instead of transient effects, requires that the information content of repeated Measurements is carefully assessed. To this end, we propose to distinguish "short-term" from "long-term" repeats, where the former capture transient variability and the latter the permanent effects. We show how the inclusion of the corresponding variance components in quantitative genetic models yields unbiased estimates of all quantities of interest, and we illustrate the application of the method to data from a Swiss snow vole population.

Erica Ponzi - One of the best experts on this subject based on the ideXlab platform.

  • heritability selection and the response to selection in the presence of phenotypic Measurement error effects cures and the role of repeated Measurements
    Evolution, 2018
    Co-Authors: Erica Ponzi, Lukas F Keller, Timothee Bonnet, Stefanie Muff
    Abstract:

    Quantitative genetic analyses require extensive Measurements of phenotypic traits, a task that is often not trivial, especially in wild populations. On top of Instrumental Measurement error, some traits may undergo transient (i.e., nonpersistent) fluctuations that are biologically irrelevant for selection processes. These two sources of variability, which we denote here as Measurement error in a broad sense, are possible causes for bias in the estimation of quantitative genetic parameters. We illustrate how in a continuous trait transient effects with a classical Measurement error structure may bias estimates of heritability, selection gradients, and the predicted response to selection. We propose strategies to obtain unbiased estimates with the help of repeated Measurements taken at an appropriate temporal scale. However, the fact that in quantitative genetic analyses repeated Measurements are also used to isolate permanent environmental instead of transient effects requires that the information content of repeated Measurements is carefully assessed. To this end, we propose to distinguish "short-term" from "long-term" repeats, where the former capture transient variability and the latter help isolate permanent effects. We show how the inclusion of the corresponding variance components in quantitative genetic models yields unbiased estimates of all quantities of interest, and we illustrate the application of the method to data from a Swiss snow vole population.

  • heritability selection and the response to selection in the presence of phenotypic Measurement error effects cures and the role of repeated Measurements
    bioRxiv, 2018
    Co-Authors: Erica Ponzi, Lukas F Keller, Timothee Bonnet, Stefanie Muff
    Abstract:

    Quantitative genetic analyses require extensive Measurements of phenotypic traits, a task that is often not trivial, especially in wild populations. On top of Instrumental Measurement error, some traits may undergo transient (i.e. non-persistent) fluctuations that are biologically irrelevant for selection processes. These two sources of variability, which we denote here as Measurement error in a broad sense, are possible causes for bias in the estimation of quantitative genetic parameters. We illustrate how in a continuous trait transient effects with a classical Measurement error structure may bias estimates of heritability, selection gradients, and the predicted response to selection. We propose strategies to obtain unbiased estimates with the help of repeated Measurements taken at an appropriate temporal scale. However, the fact that in quantitative genetic analyses repeated Measurements are also used to isolate permanent environmental instead of transient effects, requires that the information content of repeated Measurements is carefully assessed. To this end, we propose to distinguish "short-term" from "long-term" repeats, where the former capture transient variability and the latter the permanent effects. We show how the inclusion of the corresponding variance components in quantitative genetic models yields unbiased estimates of all quantities of interest, and we illustrate the application of the method to data from a Swiss snow vole population.

Isabel M. Vicario - One of the best experts on this subject based on the ideXlab platform.

  • Carotenoids, color, and ascorbic acid content of a novel frozen-marketed orange juice.
    Journal of agricultural and food chemistry, 2007
    Co-Authors: Antonio J. Meléndez-martínez, Isabel M. Vicario, Francisco J. Heredia
    Abstract:

    A recently developed food, the so-called ultrafrozen orange juice (UFOJ), has been characterized in terms of carotenoid pigments, ascorbic acid, and color. The juice, obtained from Valencia late oranges, is frozen immediately after the squeezing of the oranges, which makes it a product showing good organoleptic and nutritional quality. In relation to the carotenoid profile, it was observed that the 5,6-epoxy carotenoids violaxanthin and antheraxanthin (specifically (9Z)-violaxanthin and (9Z)- or (9‘Z)-antheraxanthin), were by far the major pigments and that dihydroxycarotenoids predominate over monohydroxycarotenoids. As far as color was concerned, it was seen that there were little differences among the juices analyzed. The hue of the samples, ranging from 77.19° to 80.15° and from 79.99° to 83.04° depending on the kind of Instrumental Measurement, and their chroma (ranging from 63.06 to 72.25 and from 44.40 to 58.38) revealed readily that the juice surveyed exhibited a deep orangeish coloration, the col...

  • Instrumental Measurement of orange juice colour a review
    Journal of the Science of Food and Agriculture, 2005
    Co-Authors: Antonio J Melendezmartinez, Isabel M. Vicario, Francisco J. Heredia
    Abstract:

    Colour of orange juice is provided by carotenoids, which belong to one of the main classes of natural pigments, although the colour of particular orange varieties, blood oranges, is mainly due to anthocyanins. Colour of food influences consumers' preferences. For orange juices, some studies have revealed that the colour of citrus beverages in general is related to the consumer's perception of the quality of these products. The USA attaches great importance to the objective evaluation of orange juice colour, to the point that this attribute is evaluated for the commercial classification of the product on the basis of its quality. Apart from the importance of orange juice colour in relation to the quality of the product, it is important to accurately measure this parameter since it has been demonstrated that colour Measurements can be used to estimate the carotenoid content rapidly for quality control purposes. Owing to this factors, several techniques and instruments have been developed over the years. This review assesses these methods and the results gained from them. Copyright © 2005 Society of Chemical Industry

  • Instrumental Measurement of orange juice colour a review
    Journal of the Science of Food and Agriculture, 2005
    Co-Authors: Antonio J Melendezmartinez, Isabel M. Vicario, Francisco J. Heredia
    Abstract:

    Colour of orange juice is provided by carotenoids, which belong to one of the main classes of natural pigments, although the colour of particular orange varieties, blood oranges, is mainly due to anthocyanins. Colour of food influences consumers' preferences. For orange juices, some studies have revealed that the colour of citrus beverages in general is related to the consumer's perception of the quality of these products. The USA attaches great importance to the objective evaluation of orange juice colour, to the point that this attribute is evaluated for the commercial classification of the product on the basis of its quality. Apart from the importance of orange juice colour in relation to the quality of the product, it is important to accurately measure this parameter since it has been demonstrated that colour Measurements can be used to estimate the carotenoid content rapidly for quality control purposes. Owing to this factors, several techniques and instruments have been developed over the years. This review assesses these methods and the results gained from them.