Molecular characterization of parents and hybrid progenies of conilon coffee

Souza, Lucimara Cruz de; Ferrão, Maria Amélia Gava; Carvalho, Rodrigo Dias de Oliveira; Ferrão, R. G.; Fonseca, Aymbiré Francisco Almeida da; Pinheiro, Patrícia Fontes; Soares, Taís Cristina Bastos

doi:10.1590/0001-3765202120201649

Cited by 5 publications

(7 citation statements)

References 18 publications

(11 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…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%

“…The planting of cultivars propagated by seeds ensures greater natural variability of the species in crops, being considered a simple method and the main strategy for obtaining highly heterozygous offspring (Souza et al, 2021). Conilon coffee (Coffea canephora) is an allogamous and diploid species, with gametophytic self-incompatibility (Moraes et al, 2018;Tran et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Senra

Silva

Ferrão

et al. 2022

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Discussioncontrasting

confidence: 55%

Section: Introductionmentioning

confidence: 99%

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

Senra

Silva

Ferrão

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…These genotypes were visually selected due their outstanding agronomical traits, including high production, resistance to rust disease (Hemileia vastatrix), resilience to drought conditions, and different maturity date (Figure 1a). Recently, the genetic diversity of such materials was described using 18 simple sequence repeat (SSR) molecular markers (L. C. Souza et al, 2021), and the clones were grouped into two main clusters (Figure 1b). First, a Diallel population was established to decompose the observed genetic variance into additive and nonadditive genetic effects.…”

Section: Plant Materials and Experimental Designmentioning

confidence: 99%

Genomic‐assisted breeding for climate‐smart coffee

et al. 2023

Self Cite

View full text Add to dashboard Cite

Coffee is a universal beverage that drives a multi‐industry market on a global basis. Today, the sustainability of coffee production is threatened by accelerated climate changes. In this work, we propose the implementation of genomic‐assisted breeding for climate‐smart coffee in Coffea canephora. This species is adapted to higher temperatures and is more resilient to biotic and abiotic stresses. After evaluating two populations, over multiple harvests, and under severe drought weather condition, we dissected the genetic architecture of yield, disease resistance, and quality‐related traits. By integrating genome‐wide association studies and diallel analyses, our contribution is four‐fold: (i) we identified a set of molecular markers with major effects associated with disease resistance and post‐harvest traits, while yield and plant architecture presented a polygenic background; (ii) we demonstrated the relevance of nonadditive gene actions and projected hybrid vigor when genotypes from different geographically botanical groups are crossed; (iii) we computed medium‐to‐large heritability values for most of the traits, representing potential for fast genetic progress; and (iv) we provided a first step toward implementing molecular breeding to accelerate improvements in C. canephora. Altogether, this work is a blueprint for how quantitative genetics and genomics can assist coffee breeding and support the supply chain in the face of the current global changes.

show abstract

“…No melhoramento genético de café conilon, para obtenção de uma cultivar, são adotadas metodologias de propagação assexuada por estaquia (clonal) e sementes (sexuada). Atualmente, a maioria das cultivares de C. canephora são clonais, contudo, as cultivares propagadas por sementes apresentam ampla base genética com maior variabilidade natural das plantas nas lavouras, são mais rústicas, exibindo maior estabilidade de produção e são recomendadas para cultivos em ambientes sujeitos a estresses bióticos e abióticos (Ferrão et al, 2019a;Ferrão et al,2019c, Souza et al, 2021Senra et al, 2022). Na atualidade, a principal cultivar, propagada por sementes, recomendada para o estado do Espirito Santo é a 'ES8152', também conhecida como 'Conquista', lançada pelo Incaper em 2019, a qual tem grande aceitação pelos produtores, principalmente os de base familiar.…”

Section: Introductionunclassified

Caracterização do vigor vegetativo, leituras SPAD e índice de vegetação em população de Coffea canephora

Silva¹,

Senra²,

Esposti³

et al. 2022

RSD

View full text Add to dashboard Cite

Atualmente a maioria das cultivares de Coffea canephora, desenvolvidas e recomendadas pela pesquisa, são propagadas vegetativamente, sendo conhecidas popularmente como variedades e/ou cultivares clonais. Contudo, aquelas propagadas por sementes apresentam base genética mais ampla com maior variabilidade das plantas nas lavouras. Assim, objetivou-se caracterizar uma população (genótipos) da cultivar de C. canephora ‘ES8152’, de propagação seminal, a partir das características agronômicas vigor vegetativo e altura da copa, leituras SPAD e índice de vegetação por diferença normalizada, após a primeira colheita em 2022. O plantio foi realizado em 2019, no delineamento de blocos aumentados com três repetições, 240 genótipos e quatro testemunhas clonais (A1, LB1, V8 e V12), sendo possível avaliar 199 genótipos, incluindo as testemunhas. Os dados foram analisados pela máxima verossimilhança restrita e melhor predição linear não viesada, análise de agrupamento e redes de correlação genética. A população de cafeeiros conilon apresentou ampla variabilidade genética. A caracterização permitiu a identificação daqueles promissores, como os genótipos 16, 25, 82 e 173. As correlações genéticas foram positivas, significativas e maiores entre os pares vigor vegetativo x altura da copa e leituras SPAD x índice de vegetação. A maioria dos genótipos avaliados apresentaram vigor vegetativo intermediário, aliado a um baixo estresse vegetativo. Assim, as estratégias adotadas foram eficientes na caracterização dos genótipos, podendo auxiliar nas tomadas de decisões no processo de melhoramento de café conilon.

show abstract

Molecular characterization of parents and hybrid progenies of conilon coffee

Cited by 5 publications

References 18 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

Genomic‐assisted breeding for climate‐smart coffee

Caracterização do vigor vegetativo, leituras SPAD e índice de vegetação em população de Coffea canephora

Contact Info

Product

Resources

About