Colorimetry analysis of coat color and its relationship with fiber traits in alpacas

Addressing the improvement of the textile characteristics is currently required in natural color production of alpaca fiber. This study analyses the possibility of implementing a genetic improvement program aiming to reduce the fiber diameter and the percentage of medullation in natural colors under...

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Main Authors: A. Cruz, A. Yucra, G.A. Gutiérrez, A. Burgos, R. Morante, J.P. Gutiérrez, I. Cervantes, M. Wurzinger
Format: Article
Language:English
Published: Elsevier 2021-05-01
Series:Animal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1751731121000616
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author A. Cruz
A. Yucra
G.A. Gutiérrez
A. Burgos
R. Morante
J.P. Gutiérrez
I. Cervantes
M. Wurzinger
author_facet A. Cruz
A. Yucra
G.A. Gutiérrez
A. Burgos
R. Morante
J.P. Gutiérrez
I. Cervantes
M. Wurzinger
author_sort A. Cruz
collection DOAJ
description Addressing the improvement of the textile characteristics is currently required in natural color production of alpaca fiber. This study analyses the possibility of implementing a genetic improvement program aiming to reduce the fiber diameter and the percentage of medullation in natural colors under the incomplete definition of the natural colors of alpaca fiber. The study considers color determination analysis in three separate steps. The first step aimed at finding the values of lightness (L*), red/green axis (a*), yellow/blue axis (b*) of three-dimensional space of color and chroma (C*ab), tone (h*ab) and color difference (ΔE) with mathematical models for the description of the coat color. The second analysis is aimed at estimating genetic parameters of color traits and their correlation with fiber traits (fiber diameter, standard deviations and percentage of medullation – PM). The third step was to determine the potential selection criteria of breeding animals based on the parameters provided by a three-dimensional space values regarding the coat color assignment in alpacas. The colorimetric data were taken using a Chroma meter device analyzing 3 008 records from Huacaya type alpacas, collected between 2018 and 2019. In the first objective of the study, the color traits were subjected to a principal component analysis. The analysis of variance components and the estimation of genetic parameters were carried out using a restricted maximum likelihood procedure. The discriminant analysis was used for the correct assignment of the coat color. The principal component analysis results showed that the L*, a*, b*, h*ab and ΔE values can be grouped into two Principal Components (PC) to describe the color, where the L* value is mainly distributed in PC2, b* is distributed in PC1, while a* is distributed in both components. The heritabilities found were 0.144, 0.128, 0.151, 0.104 and 0.152 for L*, a*, b*, PC1 and PC2. The relevant genetic correlations were between L*-PM (−0.557) and b*-PM (−0.622). The discriminant analysis showed a high percentage of correct assignment in white (99.15%) and black (99.19%) coat colors for Huacaya type alpacas, while for the intermediate colors, the accuracy was lower. The three analyses showed that there is no pure natural color, but a range of color variation. It is better to use the values of the three-dimensional space and within them, the values of L* and b* are potential selection criteria to be included in a genetic improvement program.
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spelling doaj.art-ae1b46e301114bcb81465b9ee01af48f2022-12-21T22:48:32ZengElsevierAnimal1751-73112021-05-01155100219Colorimetry analysis of coat color and its relationship with fiber traits in alpacasA. Cruz0A. Yucra1G.A. Gutiérrez2A. Burgos3R. Morante4J.P. Gutiérrez5I. Cervantes6M. Wurzinger7Universidad Nacional Agraria La Molina – UNALM, Av. La Molina s/n, Lima, Peru; Fundo Pacomarca – Inca Tops S.A., Miguel Forga 348, Arequipa, PeruUniversidad Nacional Agraria La Molina – UNALM, Av. La Molina s/n, Lima, PeruUniversidad Nacional Agraria La Molina – UNALM, Av. La Molina s/n, Lima, PeruFundo Pacomarca – Inca Tops S.A., Miguel Forga 348, Arequipa, PeruFundo Pacomarca – Inca Tops S.A., Miguel Forga 348, Arequipa, PeruFacultad de Veterinaria, Universidad Complutense de Madrid, Avda, Puerta de hierro s/n, 28040 Madrid, Spain; Corresponding author.Facultad de Veterinaria, Universidad Complutense de Madrid, Avda, Puerta de hierro s/n, 28040 Madrid, SpainUniversidad Nacional Agraria La Molina – UNALM, Av. La Molina s/n, Lima, Peru; BOKU – University of Natural Resources and Life Sciences, Gregor-Mendel-Strasse 33, A-1180 Vienna, AustriaAddressing the improvement of the textile characteristics is currently required in natural color production of alpaca fiber. This study analyses the possibility of implementing a genetic improvement program aiming to reduce the fiber diameter and the percentage of medullation in natural colors under the incomplete definition of the natural colors of alpaca fiber. The study considers color determination analysis in three separate steps. The first step aimed at finding the values of lightness (L*), red/green axis (a*), yellow/blue axis (b*) of three-dimensional space of color and chroma (C*ab), tone (h*ab) and color difference (ΔE) with mathematical models for the description of the coat color. The second analysis is aimed at estimating genetic parameters of color traits and their correlation with fiber traits (fiber diameter, standard deviations and percentage of medullation – PM). The third step was to determine the potential selection criteria of breeding animals based on the parameters provided by a three-dimensional space values regarding the coat color assignment in alpacas. The colorimetric data were taken using a Chroma meter device analyzing 3 008 records from Huacaya type alpacas, collected between 2018 and 2019. In the first objective of the study, the color traits were subjected to a principal component analysis. The analysis of variance components and the estimation of genetic parameters were carried out using a restricted maximum likelihood procedure. The discriminant analysis was used for the correct assignment of the coat color. The principal component analysis results showed that the L*, a*, b*, h*ab and ΔE values can be grouped into two Principal Components (PC) to describe the color, where the L* value is mainly distributed in PC2, b* is distributed in PC1, while a* is distributed in both components. The heritabilities found were 0.144, 0.128, 0.151, 0.104 and 0.152 for L*, a*, b*, PC1 and PC2. The relevant genetic correlations were between L*-PM (−0.557) and b*-PM (−0.622). The discriminant analysis showed a high percentage of correct assignment in white (99.15%) and black (99.19%) coat colors for Huacaya type alpacas, while for the intermediate colors, the accuracy was lower. The three analyses showed that there is no pure natural color, but a range of color variation. It is better to use the values of the three-dimensional space and within them, the values of L* and b* are potential selection criteria to be included in a genetic improvement program.http://www.sciencedirect.com/science/article/pii/S1751731121000616Alpaca fleeceDiameterGenetic parametersMedullationNatural colors
spellingShingle A. Cruz
A. Yucra
G.A. Gutiérrez
A. Burgos
R. Morante
J.P. Gutiérrez
I. Cervantes
M. Wurzinger
Colorimetry analysis of coat color and its relationship with fiber traits in alpacas
Animal
Alpaca fleece
Diameter
Genetic parameters
Medullation
Natural colors
title Colorimetry analysis of coat color and its relationship with fiber traits in alpacas
title_full Colorimetry analysis of coat color and its relationship with fiber traits in alpacas
title_fullStr Colorimetry analysis of coat color and its relationship with fiber traits in alpacas
title_full_unstemmed Colorimetry analysis of coat color and its relationship with fiber traits in alpacas
title_short Colorimetry analysis of coat color and its relationship with fiber traits in alpacas
title_sort colorimetry analysis of coat color and its relationship with fiber traits in alpacas
topic Alpaca fleece
Diameter
Genetic parameters
Medullation
Natural colors
url http://www.sciencedirect.com/science/article/pii/S1751731121000616
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AT aburgos colorimetryanalysisofcoatcoloranditsrelationshipwithfibertraitsinalpacas
AT rmorante colorimetryanalysisofcoatcoloranditsrelationshipwithfibertraitsinalpacas
AT jpgutierrez colorimetryanalysisofcoatcoloranditsrelationshipwithfibertraitsinalpacas
AT icervantes colorimetryanalysisofcoatcoloranditsrelationshipwithfibertraitsinalpacas
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