Renato Santa Catarina

Dr. Renato Santa Catarina

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Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

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1 August 2017 in Scientia Agricola
Verified
Journal Article
Open access
PDF file
DCDiego Cortes
Diego Cortes
RCRenato Santa Catarina
Renato Santa Catarina
GBGislanne Brito de Araújo Barros
Gislanne Brito de Araújo Barros
FAFernanda Abreu Santana Arêdes
Fernanda Abreu Santana Arêdes
Silvaldo Felipe SilveiraSilvaldo Felipe Silveira
Silvaldo Felipe Silveira
MPMessias Gonzaga Pereira
Messias Gonzaga Pereira
Manual phenotyping for papaya Carica papaya (L) breeding purposes limits the evaluation of a great number of plants and hampers selection of superior genotypes. This study aimed to validate two methodologies for the phenotyping of morpho-agronomic plant traits using image analysis and fruit traits through image processing. In plants of the ‘THB’ variety and ‘UENF/Caliman-01’ hybrid two images (A and B) were analyzed to estimate commercial and irregularly shaped fruits. Image A was also used in the estimation of plant height, stem diameter and the first fruit insertion height. In ‘THB’ fruits, largest and smallest diameters, length, and volume were estimated by using a caliper and image processing (IP). Volume was obtained by water column displacement (WCD) and by the expression of ellipsoid approximation (EA). Correlations above 0.85 between manual and image measurements were obtained for all traits. The averages of the morpho-agronomic traits, estimated by using images, were similar when compared to the averages measured manually. In addition, the errors of the proposed methodologies were low compared to manual phenotyping. Bland-Altman's approach indicated agreement between the volume estimated by WCD and EA using caliper and IP. The strong association obtained between volume and fruit weight suggests the use of regression to estimate this trait. Thus, the expectation is that image-based phenotyping can be used to expand the experiments, thereby maintaining accuracy and providing greater genetic gains in the selection of superior genotypes.

1 September 2019 in Bragantia
Verified
Journal Article
Open access
DCDiego Cortes
Diego Cortes
RCRenato Santa Catarina
Renato Santa Catarina
JVJulio Cesar Fiorio Vettorazzi
Julio Cesar Fiorio Vettorazzi
HRHelaine Christine Cancela Ramos Ramos
Helaine Christine Cancela Ramos Ramos
AVAlexandre Pio Viana
Alexandre Pio Viana
MPMessias Gonzaga Pereira
Messias Gonzaga Pereira

20 November 2018 in Australian Journal of Crop Science
Verified
Journal Article
Closed access
RCRenato Santa Catarina
Renato Santa Catarina
DCDiego Cortes
Diego Cortes
JVJulio Cesar Fiorio Vettorazzi
Julio Cesar Fiorio Vettorazzi
HRHelaine Christine Cancela Ramos
Helaine Christine Cancela Ramos
GFGeraldo Antônio Ferreguetti
Geraldo Antônio Ferreguetti
MPMessias Gonzaga Pereira
Messias Gonzaga Pereira

1 January 2020 in Scientia Horticulturae
Verified
Journal Article
Closed access
RCRenato Santa Catarina
Renato Santa Catarina
MPMessias Gonzaga Pereira
Messias Gonzaga Pereira
JVJulio Cesar Fiorio Vettorazzi
Julio Cesar Fiorio Vettorazzi
DCDiego Cortes
Diego Cortes
TPTathianne Pastana de Sousa Poltronieri
Tathianne Pastana de Sousa Poltronieri
AVAlexandre Pio Viana
Alexandre Pio Viana

1 December 2018 in Anais da Academia Brasileira de Ciências
Verified
Journal Article
Open access
PDF file
LLLucas Nunes da Luz
Lucas Nunes da Luz
JVJulio Cesar Fiorio Vettorazzi
Julio Cesar Fiorio Vettorazzi
RCRenato Santa Catarina
Renato Santa Catarina
FBFabio R. Barros
Fabio R. Barros
GBGislanne B.A. Barros
Gislanne B.A. Barros
DCDeisy L. Cardoso
Deisy L. Cardoso
Over the last three years, Brazil has been ranked among the three largest producers of papaya. This study aimed to evaluate the acceptance and commercial standard of papaya fruits according to their sensory traits and provide information about the organoleptic and qualitative aspects of the fruit. Ten papaya genotypes grown in Linhares-ES were investigated, arranged in a randomized block design with four replications. Ten fruits from each genotype were randomly collected from each replication, which totaled 40 fruits per genotype. The fruit harvest was performed at stage 1 of maturation. The following genotypes were assessed: hybrids UC13, UC14, UC15 and UC16, from the ‘Solo’ group; hybrids UC03, UC10 and UC12, from the ‘Formosa’ group; and ‘Golden’, ‘Calimosa’ and ‘Tainung 01’, which were used as controls. The sensory evaluation of the genotypes was carried out in full balanced design by 50 evaluators. When submitted to sensory analysis, the hybrids showed high performance compared to the controls of each group. Traits such as aroma, flavor and overall impression were crucial in the selection carried out by the appraisers of the hybrids assessed. The hybrids UC10, UC12, UC14 and UC16 were the most accepted and preferred, respectively, in purchase intention.

1 December 2018 in Crop Breeding and Applied Biotechnology
Verified
Journal Article
Open access
PDF file
LLLucas Nunes da Luz
Lucas Nunes da Luz
RCRenato Santa Catarina
Renato Santa Catarina
GBGislanne Brito Barros
Gislanne Brito Barros
FBFábio Ribeiro Barros
Fábio Ribeiro Barros
JVJulio Cesar Fiorio Vettorazzi
Julio Cesar Fiorio Vettorazzi
MPMessias Gonzaga Pereira
Messias Gonzaga Pereira
The present work aimed to estimate the adaptability and stability of new papaya hybrids. The experiments were carried out at the company Caliman Agrícola S/A, in the municipalities of Linhares-ES and Pureza-RN, with seven hybrids from inbred parents of the groups ‘Solo’ and ‘Formosa’ and three controls (‘Golden’, ‘Calimosa’, and ‘Tainung 01’). The experiment consisted of a randomized block design with four replications and ten plants per plot. The variables mean fruit weight (MFW), number of commercial fruits (NCF), and production (PROD) were measured at 270, 360, 450, and 540 days after planting. Afterward, the adaptability and stability of the hybrids were estimated using the Lin and Binns, Eberhart and Russell, and Mixed Models. MFW was less affected by the evaluation periods and showed high behavior predictability. The hybrids UC10, UC12, UC14, UC15, and UC16 were the most adapted and predictable and can be recommended for the regions where the experiment took place.