Characterization and genetic diversity of Coffea canephora accessions in a germplasm bank in Espírito Santo, Brazil

Ferrão, Maria Amélia Gava; Mendonça, Rodolfo Ferreira de; Fonseca, Aymbiré Francisco Almeida da; Ferrão, R. G.; Senra, João Felipe de Brites; Volpi, P. S.; Filho, A. C. Verdin; Comério, Marcone

doi:10.1590/1984-70332021v21n2a32

Cited by 27 publications

(18 citation statements)

References 9 publications

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“…The greatest statistical distance observed was greater than those estimated in previous studies based on phenotypic and, or, molecular data from the Incaper research program (Ferrão et al, 2009;Ferrão et al, 2017;Ferrão LFV et al, 2019;Ferrão et al, 2021;Fonseca et al, 2006;Giles et al, 2018;Senra et al, 2020;Souza et al, 2021), demonstrating the presence of genetic variability to be explored. The genetic materials identified as divergent, in the UPGMA, Tocher and principal coordinates clusters, must be monitored for their agronomic characteristics over at least four harvests for selection and use per se and, or, in hybridizations in the INCAPER breeding program.…”

Section: Discussioncontrasting

confidence: 55%

“…According to Borém and Miranda (2013) and Ferrão MAG et al (2019), crosses involving genetically different parents can produce a high heterotic effect and the breeder can obtain hybrids or clones superior to the paternal. The cophenetic correlation coefficient was high (0.719) and higher than that estimated by Ferrão et al (2021) with a study of 562 genotypes of the active germplasm bank, demonstrating low distortion between the matrix of graphic distances and real distances.…”

Section: Discussionmentioning

confidence: 61%

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Genetic variability of conilon coffee population from cultivar ‘ES8152’ based on morphoagronomic variables

Senra

Silva

Ferrão

et al. 2022

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This study aimed to analyze the genetic variability of Coffea canephora population with 190 genotypes from cultivar 'ES8152', based on morphoagronomic characteristics and vegetation index, to identify the most important characteristics for genetic divergence and compare them with commercial clones. The experiment was installed, in 2019, at the Bananal do Norte Experimental Farm/INCAPER, Cachoeiro de Itapemirim, ES, Brazil. The experiment was carried out in Federer's augmented block design with three blocks, four common treatments (commercial clones A1, LB1, V8 and V12) and 190 regular treatments, genotypes from the seed production field of the conilon coffee cultivar 'ES8152'. At 24 months of age 14 morphoagronomic characteristics and vegetation index were evaluated. Descriptive analysis of the data, the estimation of the Standardized Euclidean Distance (ED) followed by the grouping by the methods of Tocher, UPGMA and principal coordinates, in addition to the relative importance of the characters estimated by the Singh methodology were performed. The most distant genotypes were 62 and 83 (ED=2.620) and the closest were 42 and 160 (ED=0.208). Genotype 83 stood out as the most distant among the others. The optimization and hierarchical groupings allowed the identification of genotypes 15, 81, 107 and 184 as similar to commercial clones. The discard analysis of variables recommended the elimination of the vegetation index and average internode length of the next diversity analysis. Principal coordinate analysis found phenotypic similarity of the genotypes 30, 81, 115, 141 and 163 with the clone V12, of the genotype 119 with the clone A1 and genotype 17 with clone LB1. The study, of morphoagronomic characters, allowed to detection the genetic diversity existing in the materials evaluated, indicating those with phenotypic similarity with the commercial clones, being possible the early identification of promising genotypes, agronomically superior, to start a breeding program for clonal selection, recurrent selection and controlled crosses to maximize heterosis.

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Section: Discussioncontrasting

confidence: 55%

Section: Discussionmentioning

confidence: 61%

Genetic variability of conilon coffee population from cultivar ‘ES8152’ based on morphoagronomic variables

Senra

Silva

Ferrão

et al. 2022

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“…Studies of genetic diversity in C. canephora demonstrated, through principal component analysis and discriminant analysis, that representative characteristics of architecture, plant vigor, and production satisfactorily helped discriminate accessions of the botanical varieties Conilon and Robusta. Intervarietal hybrids were more similar to the Conilon group (Oliveira et al, 2018;Ferrão et al, 2021;Souza et al, 2021).…”

Section: Discussionmentioning

confidence: 78%

“…Although the factor scores associated with plant vigor also show a greater divergence between the populations of Conilon and Robusta, the hybrid genotypes overlapped between these two populations. The greater heterozygosity of this population from divergent hybridizations is also expressed in the field, with individuals distributed over all quadrants of the dispersion (Ferrão et al, 2021).…”

Section: Discussionmentioning

confidence: 82%

Factor analysis for plant and production variables in Coffea canephora in the Western Amazon

Silva

Barroso

Cruz

et al. 2022

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The evaluation of morphological characters related to the hulled coffee yield subsidizes the selection of Coffea canephora plants that combine a set of favorable traits. However, the greater the number of traits considered, the more difficult the selection process becomes. In this context, multivariate analyzes can be useful to overcome this problem. The aim of this study was to identify, in a set of agronomic traits of Coffea canephora, the determining factors of biological phenomena and use these factors to recognize patterns of diversity and similarity from biological complexes of interest to the breeder. To this, eleven morphological descriptors were evaluated of 130 clones of the botanical varieties Conilon and Robusta and intervarietal hybrids over two crop years in the experimental field of Embrapa, in the municipality of Ouro Preto do Oeste, state of Rondônia (RO). To group the traits, the multivariate technique of Factor Analysis was used. The effect of genotype x year interaction was significant for the eleven traits analyzed. Based on the scree plot, three factors were established. Factors were interpreted as architecture, vigor and grains with a satisfactory percentage of explained variability. The interpretation of the factors highlighted the importance of the Conilon variety to improve the architecture of the Robusta botanical variety. These results show that it is possible to use factor scores to identify varieties and traits that favor higher production of hulled coffee.

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“…Coffee trees were managed to keep four productive branches per plant, and they were sprouted whenever necessary. When the coffee trees reached two years of age (in 2005), evaluations were started in six consecutive seasons using a methodology adapted from (Ferrão et al, 2021) for the following characteristics: a) Leaf rust severity -LRS (Hemileia vastatrix) was based on infection ratings as follows: 1, no leaf rust; 2, few leaf pustules; 3, moderate leaf infection; 4, high infection and abundant pustules in leaves; 5, high infection, abundant pustules in leaves and defoliation occurrence; b) Brown eye spot severity -BES (Cercospora coffeicola) was based on infection ratings as follows: 1, no symptoms; 2, mild severity in some leaves; 3, moderate severity in leaves; 4, severe infection in leaves; 5, intense severity in both leaves and fruits; c) Leaf miner attack intensity -LMI (Leucoptera cofeella) was composed of five rates, namely: 1, no symptoms; 2, few lesions covering some leaves; 3, moderate lesions; 4, many coalesced lesions; 5, many coalesced lesions and defoliation; d) Dieback intensity (DBI) was performed based on attributed grades from 1 to 4, as follows: 1, no symptoms; 2, few symptoms; 3, moderate intensity; 4, severe symptoms; e) Vegetative vigor (VIG), ranged from 1 to 10, namely: 1, low vigor; and 10, high vigor; f) Yield (YLD), expressed in liters and converted into bags (60 kg) of processed coffee ha -1 .…”

Section: Methodsmentioning

confidence: 99%

Selection of Conilon coffee clones for the Zona da Mata region of Minas Gerais, Brazil

Moura

Pedrosa

Oliveira

et al. 2022

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Recently, the cultivation of Coffea canephora species has expanded as a consequence of climate change effects and emerging markets that use this coffee as raw material. To meet such demands of production, it is necessary to also improve yield in cultivated areas. Hence, this study aimed to evaluate Conilon coffee clones to identify the most promising fitting material for the Zona da Mata region of Minas Gerais, as well as to analyze the effect of the genotype x biennium interaction and estimate correlation coefficients among evaluated characteristics. Vegetative vigor, yield, main pests and diseases were evaluated in 36 clones from Incaper, ES. The statistical analyses considered the averages of each biennium: Biennium 1 (B1) -2005/2006; Biennium 2 (B2) -2007/2008; Biennium 3 (B3) -2009/2010, and also the average of three biennia (A3B). Univariate and joint statistical analysis were performed, as well as estimates of phenotypic, genotypic and environmental correlation coefficients among assessed characteristics. A wide variability among clones was observed for most of the evaluated characteristics for both each biennium and the average of three biennia. The severities of most diseases have reduced over the years of cultivation. The genotypic correlation coefficients have overcome phenotypic and environmental ones. In general, pests and diseases severities showed significant and negative correlations with vegetative vigor and yield. On the other hand, the last two characteristics were positively correlated. It was also evidenced a certain diversity among clones for most of the evaluated traits. Clone x biennium interaction was significant only for yield and leaf rust severity. There are negative correlations among the characteristics associated with yield and pests and diseases occurrences, which make it possible the use of yield variable as a selection parameter. Clones 24, 23, 28, 26, 21, 29 and 06 MG/ES present a higher potential for cultivation in the Zona da Mata of Minas Gerais.

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Characterization and genetic diversity of Coffea canephora accessions in a germplasm bank in Espírito Santo, Brazil

Cited by 27 publications

References 9 publications

Genetic variability of conilon coffee population from cultivar ‘ES8152’ based on morphoagronomic variables

Genetic variability of conilon coffee population from cultivar ‘ES8152’ based on morphoagronomic variables

Factor analysis for plant and production variables in Coffea canephora in the Western Amazon

Selection of Conilon coffee clones for the Zona da Mata region of Minas Gerais, Brazil

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