Agro-morphological characterization and diversity analysis of Coffea arabica germplasm collection from INIA, Peru

dc.contributor.authorParedes Espinosa, Richard
dc.contributor.authorGutiérrez Reynoso, Dina Lida
dc.contributor.authorAtoche Garay, Diego Fernando
dc.contributor.authorMansilla Córdova, Pedro Javier 
dc.contributor.authorAbad Romaní, Yudi Gertrudis
dc.contributor.authorGirón Aguilar, Rita Carolina
dc.contributor.authorFlores Torres, Itala
dc.contributor.authorMontañez Artica, Ana Gabriela
dc.contributor.authorArbizu Berrocal, Carlos Irvin
dc.contributor.authorAmasifuen Guerra, Carlos Alberto
dc.contributor.authorMaicelo Quintana, Jorge Luis
dc.contributor.authorPoemape Tuesta, Carlos Augusto
dc.contributor.authorGuerrero Abad, Juan Carlos
dc.date.accessioned2023-08-31T17:37:12Z
dc.date.available2023-08-31T17:37:12Z
dc.date.issued2023-06-06
dc.description.abstractCoffee (Coffea arabica L.) plays a major role in the economy of Peru and the world. The present study aims to elucidate the agro-morphological variability of coffee genotypes maintained in the INIA´s germplasm collection. Therefore, 20 vegetative, reproductive, and phytosanitary traits of 162 coffee accessions of INIA’s germplasm collection were evaluated and analyzed. Correlation results indicate that a simultaneous selection of characters, such as number of branches per plant, number of nodes per branch, leaf area and weight of a hundred fruits, can contribute to increase coffee yields. Additionally, coffee yield was negatively correlated with the incidence and severity of coffee leaf rust, and interestingly the occurrence of small and compact coffee plants with high resistance to the disease was also found. The analysis of Tocher and Mahalanobis D2 determined the formation of 10 groups of divergent coffee accessions; where clusters 1 (accession codes 20, 29, 38, 54, 67, 71, 117, 24, 26 and 27), 5 (accession codes 46 and 53), 9 (accession code 159), and 10 (accession code 203) group promising accessions that can be used in breeding programs. Principal component analysis (PCA) showed that at least five of its principal components managed to explain 70.01% of the total variation in the collection. Finally, the high coefficients obtained for the phenotypic, genotypic and heritability variation confirm the existence of additive genes in the evaluated population, that would ensure the success of coffee breeding programs based on the selection of traits of agronomic importance.es_PE
dc.formatapplication/pdfes_PE
dc.identifier.citationParedes‐Espinosa, R., Gutiérrez‐Reynoso, D. L., Atoche‐Garay, D., Mansilla‐Córdova, P. J., Abad‐Romaní, Y., Girón‐Aguilar, C., ... & Guerrero‐Abad, J. C. Agro‐morphological characterization and diversity analysis of Coffea arabica germplasm collection from INIA, Peru. Crop Science. doi: 10.1002/csc2.20971es_PE
dc.identifier.doihttps://doi.org/10.1002/csc2.20971
dc.identifier.issn0011-183X
dc.identifier.urihttps://hdl.handle.net/20.500.12955/2289
dc.language.isoenges_PE
dc.publisherJohn Wiley & Sons Inc.es_PE
dc.publisher.countryPEes_PE
dc.relation.ispartofurn:issn:0011-183Xes_PE
dc.relation.ispartofseriesCrop sciencees_PE
dc.rightsinfo:eu-repo/semantics/openAccesses_PE
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/es_PE
dc.sourceInstituto Nacional de Innovación Agrariaes_PE
dc.source.uriRepositorio Institucional - INIAes_PE
dc.subjectINIA-CGC, INIA´s coffee germplasm collectiones_PE
dc.subjectANOVA, analysis of variancees_PE
dc.subjectGCV, genotypic coefficient of variationes_PE
dc.subjectPCV, phenotypic coefficient of variationes_PE
dc.subject.agrovocPhenotypic variationes_PE
dc.subject.agrovocVariación fenotípicaes_PE
dc.subject.agrovocGenotypeses_PE
dc.subject.agrovocGenotiposes_PE
dc.subject.agrovocCoffeees_PE
dc.subject.agrovocCafées_PE
dc.subject.agrovocCoffea arabicaes_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#4.01.06es_PE
dc.titleAgro-morphological characterization and diversity analysis of Coffea arabica germplasm collection from INIA, Perues_PE
dc.typeinfo:eu-repo/semantics/articlees_PE

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