Research Article Novel approaches for selection of <i>Coffea</i> <i>canephora</i> by correlation analysis

Abstract

The objective of this study was to investigate, using path analysis, the genotypic correlations of primary and secondary production components as well as their decomposition into direct and indirect effects on the yield of coffee crops subjected to programed cycle pruning (PCP). Twenty-two Conilon coffe genotypes belonging to the breeding program developed by Incaper were subjected to PCP and 17 morphoagronomic traits were measured in new branches. The traits plagiotropic branch length and number of plagiotropic leaves were discarded to eliminate collinearity problems. Path analysis was efficient in identifying the traits with greatest influence on yield. The most important traits linked to yield were number of orthotropic branches and orthotropic branch dry matter, while the secondary traits were orthotropic branch diameter, orthotropic internode length, and length of the plagiotropic branch internode. To increase coffee crop yield, producers should select genotypes that produce an intermediate number of orthotropic branches, which have a higher dry matter yield. Subsequently, they should select genotypes with larger orthotropic branch diameters, and among these, those which have shorter orthotropic and plagiotropic internode lengths.

Research Article Biometric traits as a tool for the identification and breeding of <i>Coffea</i> <i>canephora</i> genotypes

“…Data from morphological and biometric characteristics are very useful for the breeding process of coffee trees (Freitas et al, 2007;Carvalho et al, 2010;Nogueira et al, Genetic diversity in Conilon coffee 3 2012; Rodrigues et al, 2013;Rodrigues et al, 2014;Moura et al, 2016;Giles et al 2019, Vieira et al, 2019. Among these morphological traits, plant height, plagiotropic branch length, number of nodes, and vegetative vigor are considered to be strongly related to the crop yield (Carvalho et al, 2010;Teixeira et al, 2012;Assis et al, 2014;Pereira et al, 2016).…”

Beverage quality of Coffea canephora genotypes in the western Amazon, Brazil

“…Besides the environment, genetic factors also influenced the quality of C. canephora beverage. This species is differentiated by its greater adaptation to tropical regions and its genetic variability for beverage quality traits such as uniformity and fruit ripening cycle (Vieira, Ferreira, Partelli, & Viana, 2019;Oliveira et al, 2018). Although several studies on drink quality of Coffea arabica can be found in the literature, fewer studies have been performed to assess C. canephora drink.…”

Análisis de los factores: Calidad, capacitación y asociatividad que influyen en las exportaciones de café especial de Chanchamayo Junín, Perú en el periodo 2014-2018

“…Según la búsqueda que se realizó en Web Of Science (WOS) se identificó el paper elaborado por Duarte, Ferreira, Partelli & Viana en su investigación "Novel approaches for selection of Coffea canephora by correlation análisis" la cual menciona que en Brasil se realizó un estudio utilizando la ruta análisis de las correlaciones genotípicas de la producción primaria y secundaria de los componentes, así como su descomposición en directa e indirecta para efectos sobre el rendimiento de los cultivos de café sometidos a poda de ciclo programada (PCP). (Duarte, Ferreira, Partelli, & Viana, 2019) Veintidós genotipos de café Conilon pertenecientes a la cría programa desarrollado por Incaper fueron sometidos a PCP. Además, menciona que, para aumentar el rendimiento del cultivo de café, los productores deben seleccionar genotipos que producen un número intermedio de ramas ortotrópicas, que tienen un mayor rendimiento de materia seca.…”