Prediction of genetic gains from selection in Arabica coffee progenies

Oliveira, A. C. B. de; Pereira, Antônio Alves; Silva, Felipe Lopes da; Rezende, Juliana Costa de; Botelho, César Elias; Carvalho, Gladyston Rodrigues

doi:10.1590/s1984-70332011000200002

Cited by 21 publications

(18 citation statements)

References 10 publications

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“…The group with the highest values comprised the genotypes P2, Z39, A1, Peneirão, Cheique, Bamburral, Bicudo, Tardio C, Z37, Z21, Z38, Z29, Ouro Negro and L80 for PSBD; genotype 18 had the highest value for NIPS (Table 1). Higher values for NPTB and PSBD are desirable, as they exhibit high correlation with productivity in future harvests (Bustamante et al, 2004;Contarato et al, 2010), and productivity is the main objective and selection criteria in coffee cultivation (Oliveira et al, 2011;Rodrigues et al, 2014). No significant differences were observed among the analysed genotypes in SSH, SSBD, or NISS (Table 2).…”

Section: Growth and Development Initialmentioning

confidence: 96%

Development of clonal seedlings of promising Conilon coffee (Coffea canephora) genotypes

Covre¹,

Canal²,

Partelli³

et al. 2016

Aust J Crop Sci

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Conilon coffee is a highly heterozygous diploid plant that is also allogamous, producing seeds through cross-fertilisation. Due to their allogamy, plants of seminiferous origin are highly heterogeneous, exhibiting high morphological and genetic diversity. However, propagation through cutting guarantees the maximum homogeneity of fields, particularly in grain maturation, among other desirable characteristics. Currently, the majority of commercial Conilon coffee is planted using seedlings propagated by cuttings. Studying the juvenile behaviour of different clonal genotypes of the Conilon coffee plant represents an important tool to assist with the establishment of this crop. The objective of this study was to assess the growth, development and genetic diversit y in several promising genotypes of the Conilon coffee plant based on the morphological characteristics of seedlings propagated by cutting. We used seedlings Conilon coffee of 33 genotypes selected by coffee growers, and with great productive potential, and genotype 02 of the Emcapa 8111 variety. Based on morphological characteristics linked to the growth and development of the aboveground and root systems of the genotypes, their phenotypic correlations were estimated, along with the genetic diversity among genotypes, using Tocher's optimisation method and the unweighted peer group method with arithmetic mean. Genotypes A1, P2, Z39, Ouro Negro, Tardio C, Cheique, and Z29 exhibited a higher Dickson quality index (between 0.40 and 0.56). Genetic variability exists among the seedlings of the 34 genotypes of Conilon coffee studied. The most dissimilar genotypes were CHR, 18, and Z39, which remained in isolated groups in all experiments.Keywords: Coffea canephora; Genetic diversity; Variability; Vegetative propagation; Phenotypic correlation. Abbreviations: ADM_aboveground dry matter; ANA_National Water Agency; CONAB_National Food Supply Agency; DAPC_days after planting by cutting DQI_Dickson quality index; EMS_etiolation of the main stem; ICO_International Coffee Organization; LA_leaf area; LDM_leaf dry matter; LLR_length of largest root; MAPA_Brazilian Ministry of Agriculture; NIPS_number of internodes on the primary stem; NISS_number of internodes on the secondary stem; NOS_number of orthotropic shoots; NPR_number of primary roots; NPTB_number of plagiotropic branches; PSBD_primary stem base diameter; PSH_primary stem height; RDM_root dry matter; RV_root volume; SDM_stem dry matter; SLM_specific leaf mass; SSBD_secondary stem base diameter; SSH_secondary stem height; TDM_total dry matter; and UPGMA_hierarchical unweighted pair group method with arithmetic mean.

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Section: Growth and Development Initialmentioning

confidence: 96%

Development of clonal seedlings of promising Conilon coffee (Coffea canephora) genotypes

Covre¹,

Canal²,

Partelli³

et al. 2016

Aust J Crop Sci

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“…Thus, clustering techniques and principal component analyses can help guide the selection of genotypes that are better suited to a growing region. In genetic breeding, studies on gain prediction by selection strategy provide a more efficient orientation to breeding programs and the choices of alternatives and more effective techniques based on scientific evidence (Oliveira et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Research Article Genetic diversity among 16 genotypes of Coffea arabica in the Brazilian cerrado.

Machado¹,

Pimentel²,

Golynsk³

et al. 2017

Genet. Mol. Res.

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ABSTRACT. For the selection of coffee plants that have favorable characteristics, it is necessary to evaluate variables related to production. Knowledge of the genetic divergence of arabica coffee is of extreme importance, as this knowledge can be associated with plant breeding programs in order to combine genetic divergence with good productive performance. The objective of this study was to evaluate the genetic divergence among 16 genotypes of Coffea arabica with the purpose of identifying the most dissimilar genotypes for the establishment of breeding programs and adaptation to the Brazilian cerrado. The genetic divergence was evaluated using multivariate procedures, the analysis of the average grouping unweighted pair group method with arithmetic mean (UPGMA) and main components in 2013 and 2014. Eight characters were evaluated in an experiment conducted in Morrinhos, Goiás. The presence of genetic divergence among the 16 C. arabica genotypes under cerrado conditions was recorded. The formation of UPGMA groups for the evaluated characteristics was pertinent due to the number of genotypes. The first three major components accounted for 81.77% of the total variance. The genotype H-419-3-4-4-13(C-241) of low size was the most divergent, followed by Catucaí 2 SL and Catiguá MG2, according to the main components.

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“…Characteristics such as the number of reproductive nodes, number of leaves, leaf area, specific leaf area, chlorophyll content and area, and mass ratios have been previously used in biometric studies of diversity among genotypes of Arabica coffee and showed high genetic variability in some of these traits (Rodrigues et al, 2014a). Oliveira et al (2011) also observed a considerable genetic variability among genotypes of Arabica coffee, which was enough to allow selection gains based on crop yield, both using the first high harvest only and the mean of the first four harvests.…”

Section: Discussionmentioning

confidence: 92%

Biometry and diversity of Arabica coffee genotypes cultivated in a high density plant system

et al. 2016

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ABSTRACT. The present study was developed to respond to the need for an increase in crop yield in the mountain region of Caparaó (southern Espírito Santo State, Brazil), an area of traditional coffee production. This study aimed to analyze the diversity and characterize the crop yield of genotypes of Coffea arabica L. with potential for cultivation in high plant density systems. In addition, it also aimed to quantify the expression of agronomic traits in this cultivation system and provide information on the genotypes with the highest cultivation potential in the studied region. The experiment followed a randomized block design with 16 genotypes, four repetitions, and six plants per experimental plot. Plant spacing was 2.00 x 0.60 m, with a total of 8333 plants per hectare, representing a high-density cultivation system. Coffee plants were cultivated until the start of their reproductive phenological cycles and were evaluated along four complete reproductive cycles. Genotypes with high crop yield and beverage quality, short canopy, and rust resistance were selected. C. arabica genotypes showed variability in almost all characteristics. It was possible to identify different responses among genotypes grown in a high plant density cultivation system. Although the chlorophyll a content was similar among genotypes, the genotypes Acauã, Araponga MG1, Sacramento MG1, Tupi, and Catuaí IAC 44 showed a higher chlorophyll b content than the other genotypes. Among these, Sacramento MG1 also showed high leafiness and growth of vegetative structures, whereas Araponga MG1, Pau-Brasil MG1, and Tupi showed high fruit production. In addition, Araponga MG1 had also a higher and more stable crop yield over the years.

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Prediction of genetic gains from selection in Arabica coffee progenies

Abstract: -Gains from selection for yield were estimated in

Cited by 21 publications

References 10 publications

Development of clonal seedlings of promising Conilon coffee (Coffea canephora) genotypes

Development of clonal seedlings of promising Conilon coffee (Coffea canephora) genotypes

Research Article Genetic diversity among 16 genotypes of Coffea arabica in the Brazilian cerrado.

Biometry and diversity of Arabica coffee genotypes cultivated in a high density plant system

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