Multidisciplinary, Animal Science and Zoology, Multidisciplinary, Agronomy and Crop Science
88
Scopus Publications
Scopus Publications
Effects of donor and inducer genotype and endosperm texture on haploid induction in maize assessed using R1-Navajo Mariana Martins Marcondes, Matheus Lucas Schuck, Robson Marcelo Rossi, Vanderlei Aparecido de Lima, Rodrigo Gomes, Carlos Alberto Scapim, Marcos Ventura Faria Euphytica, 2026 The double haploid (DH) technique in maize ( Zea mays L.) relies on in vivo haploid induction, in which the identification of haploid seeds and seedlings represents a critical step in this technique that determines the efficiency of DH line production. This study aimed to evaluate the effects of endosperm texture, donor genotype, and inducer on putative haploid rates based on the R1-navajo ( R1-nj ) marker and the use of guard cell length and stomatal density as a tool to identify diploids among putative haploids. Eleven hybrids were assessed as donor genotypes and were pollinated with ten haploid inducers. The response was the number of putative haploid seeds based on R1-nj phenotype, evaluated across the total number of seeds. Previously classified seeds of two induced maize hybrids were grown, and epidermal impressions of the abaxial face of maize leaves were used to measure guard cell length (GCL) and stomatal density (SD). Plants were classified according to the real ploidy by the gold standard evaluation. The three-way cross inducer (UH400×UH401)×TAIL 9 achieved the highest putative haploid rate (PHR) with five donor hybrids. The magnitude of the differences presented for GCL and SD were sufficient for the efficiency in the classification of ploidy in maize by means of logistic regression. The AUC values obtained were 0.916 for GCL and 0.941 for SD, indicating that both tests under study can be integrated into maize breeding programs, which can be used for proper disposal of diploids among putative haploids.
Early Discrimination of Maternal Haploid and Diploid Maize (Zea mays L.) Seedlings Using Morphological Traits and Random Forest Classifier Mariana Martins Marcondes, Matheus Lucas Schuck, Victor Hugo Garcia, Robson Marcelo Rossi, Vanderlei Aparecido de Lima, Rodrigo Gomes, Carlos Alberto Scapim, Marcos Ventura Faria Plant Breeding, 2026 Doubled haploid (DH) technology has been widely adopted in maize ( Zea mays L.) breeding programs due to its ability to reduce breeding cycle time and optimize costs. Early ploidy identification is essential for maximizing the efficiency of DH production, particularly prior to chromosome doubling. This study aimed to evaluate the use of maize seedling traits as a strategy for discriminating haploids and diploids derived from in vivo haploid induction. Three commercial maize hybrids were crossed with 10 haploid inducers, and seeds were initially classified using the R1‐navajo ( R1‐nj ) marker. Seedlings were germinated on paper rolls and, after 96 h under controlled conditions, were evaluated for coleoptile length (CL), radicle length (RL), coleoptile diameter (CD), radicle diameter (RD) and number of lateral seminal roots (NLSR). Subsequently, seedlings were transplanted to the field, and true ploidy was determined at flowering based on gold standard phenotypic evaluation of vigour and tassel fertility. All seedling traits presented significant effects of hybrid and ploidy level, with diploid plants exhibiting greater values than haploids for the morphological traits. A random forest classifier integrating all seedling traits achieved a high area under the ROC curve (AUC) (0.892), accuracy (0.812), sensitivity (0.788) and specificity (0.858) for the overall model, englobing all three hybrids in a repeated stratified cross‐validation scheme. The error rates for the overall model were 8.4% for false discovery rate (FDR) and 21.2% for false negative rate (FNR), showing that the model was more effective at identifying true diploid seedlings. These results demonstrate that seedling phenotyping, when used integrated with machine learning, provides a complementary tool for early ploidy identification, improving efficiency of resource use in maize DH breeding programs.
Bayesian modeling of the Gompertz curve for meat quails growth data considering different error distributions Mateus Zubioli Faccin, Robson Marcelo Rossi Brazilian Journal of Biometrics, 2024 This study applied the Gompertz model to quail growth data, assuming symmetric and asymmetric homoscedastic and heteroscedastic error distributions (Normal, t-Student, Skew normal, and Skew t), undera Bayesian framework. Model selection criteria included the Bayesian Deviance Information Criterion (DIC) and the analysis of residual standard deviation (σ), as well as graphical assessment of the fit. For both homoscedastic error structures (males: DIC=7.186; σ=10.73) and (females: DIC=5.572; σ=11.88) as well as heteroscedastic structures (males: DIC=6.493; σ=0.795) and (females: DIC=4.405; σ=0.824), the best fits were obtained by considering the Skew t distribution for errors. In homoscedastic fits, significant residual asymmetry (λ) was observed only for female quails (CI(λ)=[-8.039;-0.340]), whereas in heteroscedastic fits, the parameter was not significant for both sexes. Additionally, heteroscedasticity (δ) captured in the fits was significant for both sexes (males: CI(δ)=[1.66;2.13] and females: CI(δ)=[1.80;2.26]). Understanding animal growth is crucial for optimizing management and feeding practices, reducing time and costs in production. In this case, the use of nonlinear models considering heteroscedastic and/or asymmetric residual structures contributes to greater accuracy in decision-making.
A new approach to Fourier transform Raman: Identification of haploids in maize (Zea mays) Jocimar Costa Rosa, Renan Santos Uhdre, Marcos Ventura Faria, Ronald José Barth Pinto, Robson Marcelo Rossi, Antonio Medina Neto, Carlos Alberto Scapim Plant Breeding, 2023 The objective of this work was to adapt the FT Raman spectroscopy analysis in the differentiation of haploid and diploid kernels in maize, developing a new efficient, agile, precise, and nondestructive methodology. The main difference observed in FT Raman readings was a peak in the region between 1600 and 1700 cm−1 in possibly haploid kernels. It was possible to correlate the characteristics of the kernels with the presence of the R1‐nj gene and the readings obtained in the Raman spectrometry technique. Most of the kernels previously classified as haploid showed positive values for principal component analysis (PCAs), indicating a correlation in the identification of haploids by the techniques adopted. The identification of haploids by R‐Navajo was superior to FT Raman. However, FT Raman spectroscopy is an agile analysis technique that enables the development of non‐invasive and non‐destructive analytical methods in maize kernels, in addition to providing relevant information about the chemical structures present in the composition of the samples.
Bayesian binary regression using power and power reverse link functions: an application to premature birth data Rafaela Galo, Robson Marcelo Rossi, Diego Corrêa Alves, Rosana Rosseto de Oliveira Brazilian Journal of Biometrics, 2023 This study aims to determine factors associated (and quantify) with prematurity through binary regression models, considering power and reverse power link functions, with asymmetric characteristics. As criteria for the model selection, the Bayesian Deviance Information Criterion (DIC), predictive evaluation, and residual analysis. All models analyzed presented similar predictive capacity, however, the model with a reverse power logit link function, with asymmetry parameter =0.336 was chosen, since it presented the lowest value of DIC=3,203, residues that indicated a good fitted of the model. There was an association of prematurity with the following variables: maternal - age over 35 years (OR=1.485), with a partner (OR=0.731), and primiparous (OR=1.307); of pregnancy and childbirth - multiple pregnancy (OR=36.360), cesarean childbirth (OR=1.337) and number of prenatal consultations less than seven (OR=3.305); and newborns of white race/skin (OR=0.731) and presence of congenital malformation (OR=2.663). Considering the proposed criteria, an asymmetric link function (reverse power logit) was the most parsimonious for the model. From this, there were high chances of factors associated with the occurrence of prematurity, indicating the need for actions to minimize them.
A new Bayesian approach to the Toler model for evaluating the adaptability and stability of genotypes Jocimar Costa Rosa, Renan Santos Uhdre, Marcos Ventura Faria, Ronald José Barth Pinto, Robson Marcelo Rossi, Carlos Alberto Scapim Crop Breeding and Applied Biotechnology, 2023 This study aimed to apply, in unprecedented depth, a Bayesian approach to the non-linear regression model developed by Toler for evaluating the stability and adaptability of genotypes. Twenty-five soybean cultivars were evaluated in twenty-one plots across the midwestern of Brazil. A complete block design was employed, with three replications. The evaluated variable was grain yield. The proposed methodology was implemented in the R program by means of the BRugs package. The methodology was capable of differentiating the effect of the environment on soybean cultivars in terms of yield in the different environments, allowing exploration of the response of each genotype to environmental variations. Cultivars 6266RSF, NS6990, GD19I435, GD19I439, GD19C443, RC0496 and IA18661 presented good stability and general adaptability, being the most recommended for future evaluations. The other cultivars presented specific adaptability and high responsiveness to unfavorable environments.
FACTORS ASSOCIATED WITH THERAPEUTIC NON-ADHERENCE AMONG HYPERTENSIVE INDIVIDUALS WHO SEEK EMERGENCY CARE Patrícia Chatalov Ferreira, Elen Ferraz Teston, Brígida Gimenez Carvalho, Joice Lourenço da Silva, Pamela dos Reis, Robson Marcelo Rossi, Sonia Silva Marcon Cogitare Enfermagem, 2023 Objective: to analyze factors associated with therapeutic non-adherence among individuals with Arterial Hypertension who seek emergency care and/or assistance due to hypertensive complications. Method: this is a cross-sectional study conducted from December 2019 to October 2020 with 238 people living in a medium-sized municipality from southern Brazil using Morisky’s 8-Item Medication Adherence Scale. Multiple Logistic Regression was used in the analysis. Results: a total of 86 (36.1%) participants were considered as non-adherent. A higher change of non-adherence was observed in people younger than 60 years of age (Odds Ratio=2.04), who sought emergency services in the three years under study (Odds Ratio=5.08), and who had a bond with Primary Health Care professionals (Odds Ratio=1.96). Conclusion: acknowledging the factors associated with non-adherence to the therapy will allow professionals to conduct educational interventions and assist people with hypertension according to their needs, thus preventing/postponing complications.
Factors associated with demand for emergency medical services by people with hypertension and diabetes Patrícia Chatalov Ferreira, Sonia Silva Marcon, Elen Ferraz Teston, Viviane Cazetta de Lima Vieira, Rebeca Rosa de Souza, Mislaine Casagrande de Lima Lopes, Verônica Francisqueti Marquete, Robson Marcelo Rossi Revista Brasileira De Enfermagem, 2023 Objectives: to analyze the association between recurrence of emergency service visits due to lack of blood pressure and/or glycemic control with sociodemographic variables and disease registration in Primary Care. Methods: quantitative study, which consulted medical records of people who attended these services two or more times for 26 months. Descriptive statistics and multiple logistic regression models were used in analysis. Results: most people did not have hypertension and/or diabetes record in their Primary Care records. The absence of this record was more frequent in males, aged between 18 and 59 years, with low education and lack of blood pressure. There was association between greater number of people seeking these services in the same year and not monitoring the chronic condition in specialized care. Conclusions: people who do not follow up hypertension and/or diabetes in Primary Care are more likely to need assistance due to blood pressure and/or glycemic management.
Productive performance, breast growth and digestive system development in European quail subjected to post-hatch fasting for different periods FLAVIA K. CRUZ, CHRISTIAN DOUGLAS NICHELE FIGUEROA, KASSIANA G. ANDRADE, ISABELLE NAEMI KANEKO, LUCAS P. BONAGURIO, JAILTON S. BEZERRA JÚNIOR, ROBSON M. ROSSI, ALICE E. MURAKAMI, TATIANA C. SANTOS Anais Da Academia Brasileira De Ciencias, 2023 This study assessed the effect of different periods of post-hatch fasting on animal performance and breast and digestive system growth in European quail. Quail chicks were distributed in a completely randomized design, with four fasting periods (0, 24, 36, and 48 hs) and four replications of 40 birds per treatment. In 1 to 14-day-old chicks, weight gain decreased with increasing fasting time. Compensatory gain was observed from 15 days of age onward. Fasted quail had a lower length and relative weight of the digestive system than fed animals for up to 14 days. Histologically, the duodenal villus height was significantly lower in 3-day-old quail fasted for 36 hs than in those fasted for 48 hs, but this effect was not observed at 7 days. Scanning electron microscopy showed no differences in the small intestinal mucosa between fasted and fed birds at 3 days of age. Post-hatch fasting reduced the relative weight of the breast in quail aged 1 to 14 days but did not affect type IIa and IIb fiber diameter at 35 days. On the basis of these results, it is recommended that European quail raised for meat should not be fasted for more than 48 hs post-hatch.
FACTORS ASSOCIATED WITH SURVIVAL TIME FOR PATIENTS WITH HIV/AIDS IN THE STATE OF MATO GROSSO DO SUL: PARAMETRIC APPROACH Marcos Vinicius BUENO, Robson Marcelo ROSSI Brazilian Journal of Biometrics, 2022 The goal of this study was to use frequentist and Bayesian methodologiesto adjust some probability distributions for survival time in HIV/AIDS patients in Mato Grosso do Sul, Brazil, followeds from 2009 to 2018. The influence of explanatory variables on the response variable can be calculated using regression models. The Log-Normal distribution was shown to be the most parsimonious for the data using the Akaike information criterion (AIC) values and the maximum likelihood logarithm.Two regression models were built based on the described methodologies, converging to the same interpretation of the explanatory variables: sex, race, education, and injecting drug use. The median time to death from HIV/AIDS is approximately: 2.1 higher for females, 1.8 higher for white people, 5.4 higher for individuals with more than 8 years of education, 5.5 higher for individuals who do not use injecting drugs, according to the study. Based on the interpretations of the coefficients of the model parameters, the need for prevention and early diagnosis policies focused on groups that have a shorter median survival time after notification of HIV infection can be discussed.
HIV/AIDS and the social determinants of health: a time series study Josiel Elisandro Werle, Elen Ferraz Teston, Robson Marcelo Rossi, Sonia Silva Marcon, Jennyfer Soares de Sá, Oleci Pereira Frota, Marcos Antonio Ferreira Júnior, Gleice Kelli Santana de Andrade Revista Brasileira De Enfermagem, 2022
Factors associated with death due to HIV/AIDS Josiel Elisandro Werle, Elen Ferraz Teston, Robson Marcelo Rossi, Oleci Pereira Frota, Marcos Antonio Ferreira, Gilmara Holanda da Cunha, Sonia Silva Marcon, Daniela Miyuki Sato Acta Paulista De Enfermagem, 2022
Are plant extracts safe for honey bees (Apis mellifera)? Michele Potrich, Rita Tatiane Leão da Silva, Rodrigo M. A. Maciel, Fabiana M. Costa-Maia, Everton R. Lozano, Robson M. Rossi, Jackelinny R. Martins, Sidinei Dallacort Journal of Apicultural Research, 2020
Nonlinear models to describe the maize seed quality during the maturation stage: A bayesian approach Department of Statistics, Universidade Estadual de Maringá, 87020-900, Maringá, PR, Brazil, Sebastião Gazola, Carlos Alberto Scapim, Department of Agronomy, Universidade Estadual de Maringá, 87020-900, Maringá, PR, Brazil, Ângela Maria Marcone de Araujo, Department of Statistics, Universidade Estadual de Maringá, 87020-900, Maringá, PR, Brazil, Robson Marcelo Rossi, Department of Statistics, Universidade Estadual de Maringá, 87020-900, Maringá, PR, Brazil, Antonio Teixeira do Amaral Júnior, Laboratory of Plant Breeding, Universidade Estadual do Norte Fluminense Darcy Ribeiro, 28013-602, Campos dos Goytacazes, RJ, Brazil, Marcelo Vivas, Laboratory of Plant Breeding, Universidade Estadual do Norte Fluminense Darcy Ribeiro, 28013-602, Campos dos Goytacazes, RJ, Brazil Australian Journal of Crop Science, 2016
Adjustment of four growth models through Bayesian inference on weight and body nutrient depositions in laying quail Eline Maria Finco, Universidade Estadual de Maringá, Brazil, Simara Márcia Marcato, Antonio Claudio Furlan, Robson Marcelo Rossi, Daiane de Oliveira Grieser, Vittor Zancanela, Taciana Maria Moraes de Oliveira, Caroline Espejo Stanquevis, Universidade Estadual de Maringá, Brazil, Universidade Estadual de Maringá, Brazil Revista Brasileira De Zootecnia, 2016
Ruminal pH and N-NH3 behavior: A Bayesian approach Osvaldo Martins Souza, Elias Nunes Martins, Robson Marcelo Rossi, Carlos Antonio Lopes de Oliveira, Sílvia Cristina de Aguiar, Edson Júnior Heitor de Paula, Luiz Juliano Valério Geron, Tádia Emanuele Stivanin, Eric Batista Ferreira Semina Ciencias Agrarias, 2016
Modeling asymmetric compositional data Ana Beatriz Tozzo Martins, Vanderly Janeiro, Terezinha Aparecida Guedes, Robson Marcelo Rossi, Antônio Carlos Andrade Gonçalves Acta Scientiarum Technology, 2014
Sandflies in rural localities in northwest Paraná State, Brazil Wilsandrei Cella, Simone Cristina Castanho Sabaini de Melo, Cristiane Machado de Oliveira Legriffon, Janaina Sales de Freitas, João Balduino Kuhl, Ueslei Teodoro, Robson Marcelo Rossi Cadernos De Saude Publica, 2011
Laying probability curves in quails Robson Marcelo Rossi, Elias Nunes Martins, Terezinha Aparecida Guedes, Clédina Regina Acorsi, Sebastião Gazola Acta Scientiarum Animal Sciences, 2009
Evaluation of sandfly control measures Kárin Rosi Reinhold-Castro, Regiane Bertin de Lima Scodro, Alessandra de Cassia Dias-Sversutti, Herintha Coeto Neitzke, Robson Marcelo Rossi, João Balduíno Kühl, Thaís Gomes Verzignassi Silveira, Ueslei Teodoro Revista Da Sociedade Brasileira De Medicina Tropical, 2008
Evaluation of sandfly control in Lobato municipality, Paraná State, southern Brazil Ueslei Teodoro, Demilson Rodrigues dos Santos, Ademar Rodrigues dos Santos, Otílio de Oliveira, Elcio Silvestre dos Santos, Herintha Coeto Neitzke, Wuelton Marcelo Monteiro, Robson Marcelo Rossi, Maria Valdrinez Campana Lonardoni, Thaís Gomes Verzignassi Silveira Cadernos De Saude Publica, 2006
