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

Journal
Crop science
Date Issued
2023-04-04
Author(s)
Paredes Espinosa, Richard
Estación Experimental Agraria Perla del Vraem  
Gutierrez Reynoso, Dina Lida  
Subdirección de Biotecnología  
Arbizu Berrocal, Carlos Irvin
Atoche Garay, Diego Fernando
Estación Experimental Agraria Pichanaki  
Abad Romaní, Yudi Gertrudis
Girón Aguilar, Rita Carolina
Amasifuen Guerra, Carlos Alberto  
Flores Torres, Itala  
Guerrero Abad, Juan Carlos  
Poemape Tuesta, Carlos Augusto  
Montañez Artica, Ana Gabriela
Mansilla-Córdova, Pedro Javier
Universidad Nacional Autónoma de Chota
DOI
10.1002/csc2.20971
Abstract
Coffee (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.
Subjects

INIA-CGC, INIA´s coff...

ANOVA, analysis of va...

GCV, genotypic coeffi...

PCV, phenotypic coeff...

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Name

Paredes_et-al_coffee_diversity.pdf

Description
Article (English)
Size

2.18 MB

Format

Adobe PDF

Checksum

(MD5):2fe6f92c833a4db37713e91093ba84cf



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