Juliana Costa de Rezende Abrahao

Dr. Juliana Costa de Rezende Abrahao

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Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 February 2022 in Agronomy
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GSGustavo Hiroshi Sera
Gustavo Hiroshi Sera
CCCarlos Henrique Siqueira de Carvalho
Carlos Henrique Siqueira de Carvalho
JAJuliana Costa de Rezende Abrahao
Juliana Costa de Rezende Abrahao
EPEdson Ampélio Pozza
Edson Ampélio Pozza
JMJosé Braz Matiello
José Braz Matiello
DBDeila Magna dos Santos Botelho
Deila Magna dos Santos Botelho
In this review of coffee leaf rust (CLR) in Brazil, we report: (i) the historical introduction of CLR in Brazil and the first control measures; (ii) favorable environmental conditions and times of year for the disease; (iii) breeding methods and strategies used for developing CLR-resistant cultivars; (iv) the levels, sources, and types of CLR resistance; (v) the development of Brazilian resistant cultivars; and (vi) chemical and cultural control methods. Most plantations are cultivated with susceptible cultivars, such as those of the Catuaí and Mundo Novo groups. Brazilian research institutes have developed dozens of cultivars with different levels of resistance, and significantly increased the planting of new resistant cultivars. The main sources of CLR resistance are genotypes from Híbrido de Timor, Icatu, BA series carrying the SH3 gene, and Ethiopian wild coffees. High CLR resistance is still observed in Sarchimor and SH3-carrying genotypes. Intermediate CLR resistance is observed in Ethiopian wild coffees and in Sarchimor and Icatu derivatives, where qualitative resistance has been supplanted by races of Hemileia vastatrix. Contact, mesostemic, and systemic fungicides are used for chemical control in Brazil. CLR incidence in Brazil begins to increase after the rainy season onset in November, reaches a peak in June, and remains high until August. Thus, chemical control is typically applied from December to April.

22 September 2016 in African Journal of Agricultural Research
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MAMendonça de Carvalho Alex
Mendonça de Carvalho Alex
JAJuliana Costa de Rezende Abrahao
Juliana Costa de Rezende Abrahao
TTTeruel Rezende Tiago
Teruel Rezende Tiago
DADominghetti Ferreira Andre
Dominghetti Ferreira Andre
MRMachado Rezende Ramiro
Machado Rezende Ramiro
RGRodrigues Carvalho Gladyston
Rodrigues Carvalho Gladyston
In order to understand the relationship between the sensory attributes of coffee (including factors such as acidity, flavor, and aftertaste), and given the possible influences of genetic factors on coffee quality, we evaluated the sensory quality of 10 commercial cultivars of Coffea arabica in three important coffee regions of Minas Gerais, Brazil, and examined, via path analysis, the interactions of the attributes that determine coffee quality. The experiments were conducted in three cities (Lavras, Patrocínio, and Turmalina) in three separate regions of cultivation in Brazil. Beverage quality was evaluated by assessing the sensory attributes of the cultivars Oeiras MG 6851, Catiguá MG 1, Sacramento MG 1, Catiguá MG 2, Araponga MG 1, Paraíso MG H419-1, Pau Brasil MG 1, Catiguá MG3, Topázio MG1190, and Bourbon Amarelo LCJ10, the last of which was used as the control cultivar. Experiments were designed in a randomized block consisting of 3.5 m × 0.7 m plots containing 10 plants of the various cultivars, with three replicates of each plot. We concluded that cultivation environment greatly influences the quality of the coffee produced by the cultivars. The cultivars Bourbon LCJ10, Araponga MG1, Paraíso MG H419-1, Sacramento MG1, Oeiras MG6851, and Catiguá MG2 exhibiting high potential for cultivation in the regions of Lavras, Patrocínio, and Turmalina. Key words: Coffea arabica, sensory analysis, path analysis, genotype-environment interactions.

1 December 2010 in Pesquisa Agropecuária Brasileira
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CBCesar Elias Botelho
Cesar Elias Botelho
JAJuliana Costa de Rezende Abrahao
Juliana Costa de Rezende Abrahao
GCGladyston Rodrigues Carvalho
Gladyston Rodrigues Carvalho
ACAlex Mendonça de Carvalho
Alex Mendonça de Carvalho
VAVinicius Teixeira Andrade
Vinicius Teixeira Andrade
CBCintia Reis Barbosa
Cintia Reis Barbosa
O objetivo deste trabalho foi avaliar a adaptabilidade e a estabilidade fenotípicas para a produtividade de cultivares de cafeeiro do grupo Catuaí, pela metododologia de Annicchiarico. Foram instalados e conduzidos experimentos em Três Pontas, Campos Altos e Capelinha, em Minas Gerais. O delineamento foi o de blocos ao acaso, com quatro repetições e seis plantas por parcela. Os tratamentos foram constituídos por 15 cultivares do grupo Catuaí e cinco testemunhas. As avaliações da produtividade foram realizadas em seis colheitas nas safras de 2003/2004 a 2008/2009. Posteriormente, foi realizada a análise conjunta dos três locais e a avaliação da adaptabilidade e da estabilidade das cultivares. Na safra 2008/2009, foi avaliado o percentual de frutos chochos e a percentagem de grãos em peneira alta. As cultivares Catuaí Vermelho IAC 15, Catuaí Amarelo IAC 30, Catuaí Amarelo IAC 62 e Catuaí Vermelho IAC 72 são mais promissoras, pois aliam maiores estabilidade e adaptabilidade em ambientes favoráveis e desfavoráveis com alta média de produtividade. As cultivares Catuaí Vermelho IAC 100, Catuaí Amarelo IAC 86, Rubi MG 1192 e Catuaí Vermelho IAC 144 têm o mais alto percentual de peneira alta. Todas as progênies têm baixo percentual de grãos chochos

13 September 2022 in Agronomy
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VSVânia Aparecida Silva
Vânia Aparecida Silva
JAJuliana Costa de Rezende Abrahao
Juliana Costa de Rezende Abrahao
ARAndré Moraes Reis
André Moraes Reis
MSMeline de Oliveira Santos
Meline de Oliveira Santos
APAntônio Alves Pereira
Antônio Alves Pereira
AOAntônio Carlos Baião de Oliveira
Antônio Carlos Baião de Oliveira
This study aimed to establish a strategy for drought-tolerant selection in Arabica coffee genotypes in Brazil, combining field trials under natural conditions with controlled growth condition experiments. A group of genotypes was evaluated in the greenhouse using 28 morphological, anatomical, and physiological traits. In addition, the productivity of genotypes was evaluated in the field. Under water deficit in the greenhouse, 13 studied traits showed significant genetic variance. For these traits, the heritability coefficients estimated based on the progeny mean ranged from 65 to 92%. A selection index combined with predicted means was applied at these traits to select four progenies for drought tolerance under greenhouse conditions. Under field conditions, the selection applied to genetic values that favored positive genetic gains in four progenies, indicating the potential use of these cultivars for breeding advanced generations. The selection results of coffee plants under greenhouse conditions matched the selection results in the field in a water-deficit region by 50% based on productivity; thus, two genotypes (H419-3-3-7-16-11 and H516-2-1-1-7-2) were identified that have both the productivity and morpho-anatomical traits that confer greater drought tolerance. Finally, we discussed possible strategies for the development of drought-tolerant cultivars.

5 May 2017 in Euphytica
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DBDeila M. dos S. Botelho
Deila M. dos S. Botelho
MRMário L. V. de Resende
Mário L. V. de Resende
VAVinícius T. Andrade
Vinícius T. Andrade
APAntônio A. Pereira
Antônio A. Pereira
FPFlavia R. A. Patricio
Flavia R. A. Patricio
JAJuliana Costa de Rezende Abrahao
Juliana Costa de Rezende Abrahao

30 November 2023 in Plants
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CSCyntia Stephânia dos Santos
Cyntia Stephânia dos Santos
AFAna Flavia De Freitas
Ana Flavia De Freitas
GSGlauber Henrique Barbosa da Silva
Glauber Henrique Barbosa da Silva
JPJoao Pennacchi
Joao Pennacchi
MCMilene Alves Figueiredo de Carvalho
Milene Alves Figueiredo de Carvalho
VSVânia Aparecida Silva
Vânia Aparecida Silva
The adaptive potential of plants is commonly used as an indicator of genotypes with higher breeding program potential. However, the complexity and interaction of plant metabolic parameters pose a challenge to selection strategies. In this context, this study aimed to explore phenotypic plasticity within the germplasm of Hybrid Timor coffee. Additionally, we assessed the utility of the multivariate phenotypic plasticity index (MVPi) as a promising tool to predict genotype performance across diverse climatic conditions. To achieve this, we evaluated the performance of seven accessions from the Hybrid Timor germplasm in comparison to the Rubi and IPR 100 cultivars, known for their susceptibility and resistance to drought, respectively. The experiment took place in a greenhouse under two conditions: one with normal soil moisture levels near maximum capacity, and the other with a water deficit scenario involving a period of no irrigation followed by rehydration. Data on physiological and biochemical factors were collected at three stages: before applying the water deficit, during its imposition, and after rehydration. Growth data were obtained by the difference between the beginning and end of the experimental period Furthermore, field evaluations of the productivity of the same genotypes were carried out over two consecutive seasons. Based on physiological and biochemical assessments, the MVPi was computed, employing Euclidean distance between principal component multivariate analysis scores. Subsequently, this index was correlated with growth and productivity data through linear regressions. Our findings reveal that the plastic genotypes that are capable of significantly altering physiological and biochemical parameters in response to environmental stimuli exhibited reduced biomass loss in both aerial and root parts. As a result, this positively influenced their productivity. Enhanced plasticity was particularly prominent in accessions from the MG Germplasm Collection: MG 311—Hybrid Timor UFV 428-02, MG 270—Hybrid Timor UFV 377-21, and MG 279—Hybrid Timor UFV 376-31, alongside the Rubi MG 1192 cultivar. The MVPi emerged as a valuable instrument to assess genotype adaptability and predict their performance under varying climatic scenarios.