Comparative analysis of key fiber characteristics in white pima cotton (Gossypium barbadense L.): Native accessions from the Peruvian Amazon

dc.contributor.authorMorales Araníbar, Luis
dc.contributor.authorNieves Rivera, Marite Yulisa
dc.contributor.authorSoto Gonzales, Hebert Hernán
dc.contributor.authorMorales Araníbar, Carlos Genaro
dc.contributor.authorLinares Gutiérrez, Nataniel
dc.contributor.authorGamarra Gomez, Francisco
dc.contributor.authorZuffo, Alan Mario
dc.contributor.authorGonzález Aguilera, Jorge
dc.contributor.authorSteiner, Fabio
dc.date.accessioned2024-06-10T18:21:50Z
dc.date.available2024-06-10T18:21:50Z
dc.date.issued2024-05-19
dc.description.abstractThe fiber quality of cotton (Gossypium barbadense L.) native to the Peruvian Amazon region is one of the most versatile and essential natural fibers in the Peruvian textile industry. There is little information about the fiber quality traits of cotton genotypes native to the Peruvian Amazon region. This study investigated the fiber quality traits of Peruvian Pima cotton accessions native to the Amazon region of the La Convención Province, Cusco, Peru, to determine the lines with the greatest potential for improving fiber quality in cotton genetic breeding programs. A total of 14 cotton accessions with white fiber color, being 12 accessions of G. barbadense L. (Pima cotton) and two accessions of Gossypium sp. (unknown cotton), were analyzed. The fiber properties determined using the high volume instrument method included seven characteristics. All fiber properties were classified into five quality classes. The data on fiber quality properties were subjected to distribution, correlation, and canonical variable analysis. The results of fiber quality properties showed that the two accessions of Gossypium sp. (unknown cotton) can be promising options to be used as high-quality fiber progenies in crop genetic breeding programs or can be cultivated by regional farmers for the purpose of producing cotton with high fiber quality. Future investigations could utilize other methods of fiber quality analysis and compare the fiber quality of these cotton accessions native to the Peruvian Amazon region with other cotton species grown worldwide to improve the understanding of Pima cotton fiber quality and its applicability in different contexts of the textile industries.es_PE
dc.formatapplication/pdfes_PE
dc.identifier.citationMorales-Araníbar, L.; Nieves-Rivera, M. Y.; Soto-Gonzales, H. H.; Morales-Araníbar, C. G.; Linares-Gutiérrez, N.; Gamarra-Gomez, F.; Zuffo, A. M.; González-Aguilera, J.; & Steiner, F. (2024). Comparative analysis of key fiber characteristics in white pima cotton (Gossypium barbadense L.): Native accessions from the Peruvian Amazon. Agrosystems, Geosciences & Environment, 7, e20517. doi: 10.1002/agg2.20517es_PE
dc.identifier.doihttps://doi.org/10.1002/agg2.20517
dc.identifier.issn2639-6696
dc.identifier.urihttps://hdl.handle.net/20.500.12955/2513
dc.language.isoenges_PE
dc.publisherJohn Wiley & Sons Inc.es_PE
dc.publisher.countryGBes_PE
dc.relation.ispartofurn:issn:2639-6696es_PE
dc.relation.ispartofseriesAgrosystems, Geosciences & Environmentes_PE
dc.rightsinfo:eu-repo/semantics/openAccesses_PE
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/es_PE
dc.sourceInstituto Nacional de Innovación Agrariaes_PE
dc.source.uriRepositorio Institucional - INIAes_PE
dc.subjectGossypium barbadensees_PE
dc.subjectFiber qualityes_PE
dc.subjectGenotypeses_PE
dc.subjectAccessionses_PE
dc.subjectPeruvian Amazon regiones_PE
dc.subject.agrovocGossypium barbadensees_PE
dc.subject.agrovocFibre qualityes_PE
dc.subject.agrovocCalidad de la fibraes_PE
dc.subject.agrovocGenotypeses_PE
dc.subject.agrovocGenotiposes_PE
dc.subject.agrovocGermplasmes_PE
dc.subject.agrovocGermoplasmaes_PE
dc.subject.agrovocAmazoniaes_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#4.01.06es_PE
dc.titleComparative analysis of key fiber characteristics in white pima cotton (Gossypium barbadense L.): Native accessions from the Peruvian Amazones_PE
dc.typeinfo:eu-repo/semantics/articlees_PE

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