Colorimetry analysis of coat color and its relationship with fiber traits in alpacas
Descripción del Articulo
This research was partially funded by CONCYTEC-FONDECYT under the call for proposals E038-01 with contract number: 029-2019-FONDECYT-BM-INC.INV. BOKU- University of Natural Resources and Life Sciences, Vienna kindly provided the chromameter.
| Autores: | , , , , , , , |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2021 |
| Institución: | Consejo Nacional de Ciencia Tecnología e Innovación |
| Repositorio: | CONCYTEC-Institucional |
| Lenguaje: | inglés |
| OAI Identifier: | oai:repositorio.concytec.gob.pe:20.500.12390/2982 |
| Enlace del recurso: | https://hdl.handle.net/20.500.12390/2982 https://doi.org/10.1016/j.animal.2021.100219 |
| Nivel de acceso: | acceso abierto |
| Materia: | Natural colors Alpaca fleece Diameter Genetic parameters Medullation https://purl.org/pe-repo/ocde/ford#4.03.01 |
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CONC_e8f543715a122613a1cc62fcfec10a2e |
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CONC |
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CONCYTEC-Institucional |
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| dc.title.none.fl_str_mv |
Colorimetry analysis of coat color and its relationship with fiber traits in alpacas |
| title |
Colorimetry analysis of coat color and its relationship with fiber traits in alpacas |
| spellingShingle |
Colorimetry analysis of coat color and its relationship with fiber traits in alpacas Cruz A. Natural colors Alpaca fleece Diameter Diameter Genetic parameters Medullation Medullation https://purl.org/pe-repo/ocde/ford#4.03.01 |
| title_short |
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_sort |
Colorimetry analysis of coat color and its relationship with fiber traits in alpacas |
| author |
Cruz A. |
| author_facet |
Cruz A. Yucra A. Gutiérrez G.A. Burgos A. Morante R. Gutiérrez J.P. Cervantes I. Wurzinger M. |
| author_role |
author |
| author2 |
Yucra A. Gutiérrez G.A. Burgos A. Morante R. Gutiérrez J.P. Cervantes I. Wurzinger M. |
| author2_role |
author author author author author author author |
| dc.contributor.author.fl_str_mv |
Cruz A. Yucra A. Gutiérrez G.A. Burgos A. Morante R. Gutiérrez J.P. Cervantes I. Wurzinger M. |
| dc.subject.none.fl_str_mv |
Natural colors |
| topic |
Natural colors Alpaca fleece Diameter Diameter Genetic parameters Medullation Medullation https://purl.org/pe-repo/ocde/ford#4.03.01 |
| dc.subject.es_PE.fl_str_mv |
Alpaca fleece Diameter Diameter Genetic parameters Medullation Medullation |
| dc.subject.ocde.none.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#4.03.01 |
| description |
This research was partially funded by CONCYTEC-FONDECYT under the call for proposals E038-01 with contract number: 029-2019-FONDECYT-BM-INC.INV. BOKU- University of Natural Resources and Life Sciences, Vienna kindly provided the chromameter. |
| publishDate |
2021 |
| dc.date.accessioned.none.fl_str_mv |
2024-05-30T23:13:38Z |
| dc.date.available.none.fl_str_mv |
2024-05-30T23:13:38Z |
| dc.date.issued.fl_str_mv |
2021 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12390/2982 |
| dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1016/j.animal.2021.100219 |
| dc.identifier.scopus.none.fl_str_mv |
2-s2.0-85107643415 |
| url |
https://hdl.handle.net/20.500.12390/2982 https://doi.org/10.1016/j.animal.2021.100219 |
| identifier_str_mv |
2-s2.0-85107643415 |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.ispartof.none.fl_str_mv |
Animal |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| dc.rights.uri.none.fl_str_mv |
https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| eu_rights_str_mv |
openAccess |
| rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| dc.publisher.none.fl_str_mv |
Elsevier B.V. |
| publisher.none.fl_str_mv |
Elsevier B.V. |
| dc.source.none.fl_str_mv |
reponame:CONCYTEC-Institucional instname:Consejo Nacional de Ciencia Tecnología e Innovación instacron:CONCYTEC |
| instname_str |
Consejo Nacional de Ciencia Tecnología e Innovación |
| instacron_str |
CONCYTEC |
| institution |
CONCYTEC |
| reponame_str |
CONCYTEC-Institucional |
| collection |
CONCYTEC-Institucional |
| repository.name.fl_str_mv |
Repositorio Institucional CONCYTEC |
| repository.mail.fl_str_mv |
repositorio@concytec.gob.pe |
| _version_ |
1839175785162735616 |
| spelling |
Publicationrp08452600rp08457600rp08456600rp08455600rp08454600rp08453600rp08459600rp08458600Cruz A.Yucra A.Gutiérrez G.A.Burgos A.Morante R.Gutiérrez J.P.Cervantes I.Wurzinger M.2024-05-30T23:13:38Z2024-05-30T23:13:38Z2021https://hdl.handle.net/20.500.12390/2982https://doi.org/10.1016/j.animal.2021.1002192-s2.0-85107643415This research was partially funded by CONCYTEC-FONDECYT under the call for proposals E038-01 with contract number: 029-2019-FONDECYT-BM-INC.INV. BOKU- University of Natural Resources and Life Sciences, Vienna kindly provided the chromameter.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 (?E) 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 ?E 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. © 2021 The AuthorsConsejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengElsevier B.V.Animalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/Natural colorsAlpaca fleece-1Diameter-1Diameter-1Genetic parameters-1Medullation-1Medullation-1https://purl.org/pe-repo/ocde/ford#4.03.01-1Colorimetry analysis of coat color and its relationship with fiber traits in alpacasinfo:eu-repo/semantics/articlereponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTEC20.500.12390/2982oai:repositorio.concytec.gob.pe:20.500.12390/29822024-05-30 16:12:47.764https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_14cbinfo:eu-repo/semantics/closedAccessmetadata only accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="e188eeed-a67b-44fa-9340-0fb28515502e"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Colorimetry analysis of coat color and its relationship with fiber traits in alpacas</Title> <PublishedIn> <Publication> <Title>Animal</Title> </Publication> </PublishedIn> <PublicationDate>2021</PublicationDate> <DOI>https://doi.org/10.1016/j.animal.2021.100219</DOI> <SCP-Number>2-s2.0-85107643415</SCP-Number> <Authors> <Author> <DisplayName>Cruz A.</DisplayName> <Person id="rp08452" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Yucra A.</DisplayName> <Person id="rp08457" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Gutiérrez G.A.</DisplayName> <Person id="rp08456" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Burgos A.</DisplayName> <Person id="rp08455" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Morante R.</DisplayName> <Person id="rp08454" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Gutiérrez J.P.</DisplayName> <Person id="rp08453" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Cervantes I.</DisplayName> <Person id="rp08459" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Wurzinger M.</DisplayName> <Person id="rp08458" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Elsevier B.V.</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>https://creativecommons.org/licenses/by-nc-nd/4.0/</License> <Keyword>Natural colors</Keyword> <Keyword>Alpaca fleece</Keyword> <Keyword>Diameter</Keyword> <Keyword>Diameter</Keyword> <Keyword>Genetic parameters</Keyword> <Keyword>Medullation</Keyword> <Keyword>Medullation</Keyword> <Abstract>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 (?E) 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 ?E 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. © 2021 The Authors</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1 |
| score |
13.439101 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
