Evaluation of genetic divergence among clones of conilon coffee after scheduled cycle pruning

Dalcomo, Jose Maria; Vieira, Henrique Duarte; Ferreira, Adésio; Lima, Wallace Luís de; Ferrão, R. G.; Fonseca, Aymbiré Francisco Almeida da; Ferrão, Maria Amélia Gava; Partelli, Fábio Luiz

doi:10.4238/2015.november.30.19

Cited by 19 publications

(20 citation statements)

References 12 publications

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“…The maximum and minimum dissimilarity values for each one of the 30 C. canephora genotypes, obtained based on the generalized Mahalanobis (D 2 ) distance, showed varied magnitude, with values ranging between 5.003 and 256.433, indicating broad genetic diversity in the studied population (Table III). Dalcomo et al (2015) evaluated 22 genotypes of conilon coffee from the breeding program of Incaper and also found elevated magnitude for genetic dissimilarity, with values between 7.32 and 168.37.…”

Section: Resultsmentioning

confidence: 99%

“…Studies on the genetic diversity of coffee adopting multivariate analyses have been carried out by many researchers, both for C. canephora (Fonseca et al 2006, Ivoglo et al 2008, Dalcomo et al 2015, Silva et al 2015, Covre et al 2016), and C. arabica (Dias et al 2005, Guedes et al 2013, Moura et al 2015, Rodrigues et al 2016. Information in this regard provides bases to be used in breeding programs for the species.…”

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confidence: 99%

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Genetic diversity of promising ‘conilon’ coffee clones based on morpho-agronomic variables

Giles

Partelli

Ferreira

et al. 2018

An. Acad. Bras. Ciênc.

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Knowledge of the genetic variability of a population is essential to guide its preservation and maintenance in addition to increasing the efficiency of genetic breeding programs. On this basis, this study was conducted to evaluate the genetic diversity of Coffea canephora genotypes using multivariate statistical procedures applied to a set of morpho-agronomic variables. The materials employed in this study constitute a crop located in Vila Valério - ES, Brazil, where the genotypes are arranged in a randomized-blocks experimental design with four replicates. Significant differences were detected by the F test at the 1% or 5% probability levels among the genotypes for all evaluated traits, demonstrating heterogeneity of genetic constitution in the studied population, which is favorable to breeding, as it indicates the possibility to identify superior and divergent individuals. Based on the generalized Mahalanobis distance, the most divergent combinations were obtained between genotypes 23 and 10 (256.43) and 23 and 17 (250.09). The clusters formed by Tocher's optimization and the UPGMA hierarchical method agreed, both similarly grouping the genotypes into three clusters. Of the analyzed traits, mature fruit weight (19.08%), yield (15.50%), plant diameter (12.42%), and orthotropic-shoot internode length (10.94%) were the most efficient to explain the dissimilarity among the genotypes.

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Section: Resultsmentioning

confidence: 99%

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confidence: 99%

Genetic diversity of promising ‘conilon’ coffee clones based on morpho-agronomic variables

Giles

Partelli

Ferreira

et al. 2018

An. Acad. Bras. Ciênc.

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“…Intraspecific variation also has been reported in diploid Coffea species from Africa (Noirot et al, 2002), as well as from islands in the Indian Ocean (Razafinarivo et al, 2013). Also, divergence and genetic diversity has been found in different C. canephora genotypes (Dalcomo et al, 2015;Giles et al, 2018) It is known that variations in genome size is mainly affected by retrotransposons, structural rearrangements, deletions at the individual chromosomal level, and illegitimate recombination (Bennetzen et al, 2005;Grover and Wendel, 2010;Williams et al, 2002). Mechanisms underlying intraspecific and interspecific genome size variation in plants, particularly at the evolutionary level are not well understood; thus, more research is required in this regard.…”

Section: Discussionmentioning

confidence: 99%

Analysis of Genome Size of Sixteen Coffea arabica Cultivars Using Flow Cytometry

Ortega-Ortega¹,

Ramírez-Ortega²,

Ruíz-Medrano³

et al. 2019

horts

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Coffee is an important crop worldwide, grown on about 10 million hectares in tropical regions including Latin America, Africa, and Asia. The genus Coffea includes more than 100 species; most are diploid, except for C. arabica, which is allotetraploid and autogamous. The genetic diversity of commercial coffee is low, likely due to it being selfpollinating, in addition, the widespread propagation of few selected cultivars, such as Caturra, Bourbon, and Typica. One approach is the analysis of genome size in these cultivars as a proxy to study its genetic variability. In the present work, genome size of 16 cultivars was assessed through high-resolution flow cytometry (FCM). Nuclear DNA was analyzed using a modified procedure that uses propidium iodide (PI) and 4#,6#-diamino-2-phenylindole dihydrochloride hydrate (DAPI) staining. The C. arabica cultivars investigated possessed a nuclear DNA content ranging from 2.56 ± 0.016 pg for Typica, to 3.16 ± 0.033 pg for ICATU, which had the largest genome size. All cultivars measured using both fluorochromes had greater estimates with DAPI than PI. The proportion of the genome composed of guanosine and cytosine (GC%) among the cultivars evaluated in this study ranged from 37.03% to 39.22%. There are few studies of genome size by FCM of distinct important C. arabica cultivars, e.g., hybrids and artificial crosses. Thus, this work could be valuable for coffee breeding programs. The data presented here are intended to expand the genomic understanding of C. arabica and could link nuclear DNA content with evolutionary relationships such as diversification, hybridization and polyploidy. Materials and Methods Plant materialLeaves were collected from 16 healthy C. arabica cultivars in consideration of its

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“…Differences in morpho-physiology and productivity between Conilon coffee clones indicate the existence of genetic variability (Fonseca et al, 2006, Dalcomo et al, 2015 in the production phase, in the fruit maturation time, as well as in leaf patterns (Gomes et al, 2016) and in nutrient absorption and allocation across materials (Partelli et al, 2014b;Marré et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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

Vieira¹,

Ferreira²,

Partelli³

et al. 2019

Genet. Mol. Res.

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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.

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Evaluation of genetic divergence among clones of conilon coffee after scheduled cycle pruning

Cited by 19 publications

References 12 publications

Genetic diversity of promising ‘conilon’ coffee clones based on morpho-agronomic variables

Genetic diversity of promising ‘conilon’ coffee clones based on morpho-agronomic variables

Analysis of Genome Size of Sixteen Coffea arabica Cultivars Using Flow Cytometry

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

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