A5017739793- Agricultural and Food Sciences
- Genetics and Plant Breeding
- Coffee research and impacts
- Growth and nutrition in plants
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Sensory Analysis and Statistical Methods
- Botanical Research and Applications
- Plant pathogens and resistance mechanisms
- Physical Education and Sports Studies
- Plant tissue culture and regeneration
- Rice Cultivation and Yield Improvement
- Phytochemistry Medicinal Plant Applications
- Bone and Joint Diseases
- Leaf Properties and Growth Measurement
- Banana Cultivation and Research
- Crop Yield and Soil Fertility
- Occupational health in dentistry
- Sugarcane Cultivation and Processing
- Organic Food and Agriculture
- Rural and Ethnic Education
- Power Line Communications and Noise
- Agronomic Practices and Intercropping Systems
- Environmental Sustainability and Education
- Occupational Health and Safety in Workplaces
Universidade Federal de Viçosa
2019-2022
Universidade de São Paulo
2022
Instituto de Investigação Agrária de Moçambique
2022
Empresa de Pesquisa Agropecuária de Minas Gerais
2018-2020
Universidade Federal de Ouro Preto
2018
The specialty coffee market has grown significantly in the past decades and several cultivars with productive potential. objective of this study was to evaluate sensory profile beverage produced from Coffea arabica L. genotypes based on postharvest processing identify greatest genetic potential for cultivation city Araponga, Minas Gerais, Brazil. experiment a randomized complete block design two replicates 11 different levels resistance rust. demonstrated an interaction between genotype...
Abstract Genomic‐wide selection (GWS) consists of the use a large number molecular markers for prediction genetic values and has been shown to be highly relevant improvement. The objective this work was evaluate compare predictive performance statistical (ridge regression‐best linear unbiased predictor [RR‐BLUP] BayesB) machine learning methods through GWS in simulated populations with traits presenting different levels heritability quantitative trait loci (QTL) numbers presence dominant...
Genomic wide selection (GWS) is one contributions of molecular genetics to breeding. Machine learning (ML) and artificial neural networks (ANN) methods are non-parameterized can develop more accurate parsimonious models for GWS analysis. Multivariate Adaptive Regression Splines (MARS) considered the most flexible ML methods, automatically modeling nonlinearities interactions predictor variables. This study aimed evaluate compare based on ANN, ML, including MARS, G-BLUP through GWS. An F2...
Several factors such as genotype, environment, and post-harvest processing can affect the responses of important traits in coffee production chain. Determining influence these is great relevance, they be indicators characteristics produced. The most efficient models choice to applied should take into account variety information particularities each biological material. This study was developed evaluate statistical machine learning that would better discriminate environments through...
ABSTRACT The development of technologies to increase the yield Pereskia aculeata Mill. may contribute its market insertion as an excellent source protein. This study aimed assess influence plant density on protein and mineral contents P. leaves branches. experiment consisted five treatments (1 m-², 5 plants 10 25 m-² 50 m-²), in three blocks. Eight consecutive harvests were obtained over 12 months, was considered best density, with yields 144.0 t ha-1 year-1, 25.6 310.8 year-1 58.3...
The objective of this research was to evaluate the genetic variability and associations between traits, in order identify traits that can be used as selection criteria development process high-yielding common bean cultivars a breeding program.Plant height (PH), primary branches per plant (BP), pod length (POL), seeds (SPO), pods (POP), days anthesis (DA), flowering (DF), maturity (DM), 100 mass (SM) grain yield (Y), were evaluated at Nampula Research Station, Mozambique, an augmented block...
As Plantas Alimentícias Não Convencionais (PANC), ricas em nutrientes e de fácil cultivo, apresentam potencial para a melhoria da alimentação população; no entanto são negligenciadas, sendo necessário promover seu resgate disseminação. Assim, criou-se o Projeto “Feira com Ciência: Produção, Consumo Comercialização Alimentos Produtos Tradição Popular, utilizou-se Instalação Artístico Pedagógica (IAP), uma dinâmica grupo fundamentada na utilização elementos representativos determinado tema...
O Bacurizeiro (Platonia insignis Mart.) é uma espécie frutífera nativa, oriundo do extrativismo das populações Nordeste Paraense e desperta grande interesse regional. experimento foi realizado em delineamento blocos inteiramente causalizados. Foram coletadas estacas caulinares lenhosas semilenhosas padronizadas com 15 cm de comprimento 8 mm diâmetro, sem folhas, corte horizontal no ápice bisel na base nas dosagens. As foram tratadas duas concentrações AIB (3000 6000 mg L-1), além da...
Abstract Rice is one of the most consumed cereals in world and extreme social economic importance Brazil. Minas Gerais leading State irrigated rice production Southeast Region. This study aimed to estimate genetic progress 26 years breeding programme Epamig Brazil by time meta‐analysis. Genetic was estimated for grain yield, plant height days flowering. The dataset understood 162 genotypes 91 trials value cultivation use seasons. rate annual gain yield .99% (49.85 kg year −1 ). It also...
The objective of the research was to evaluate morpho-agronomic genetic diversity in common bean landraces based predicted genotypic values, identify divergent genotypes with agronomic potential several traits for selection activities and crosses breeding program.Traits evaluated were plant height, branches per plant, days flowering, maturity, pods seeds pod, mass grain yield at Nampula Research Station, Mozambique, an augmented design four blocks, 27 (24 3 checks).Data subjected analysis...
Abstract The presence of non-informative markers in Genome Wide Selection (GWS) needs to be evaluated so that the genomic prediction is more efficient a breeding program. This study proposes evaluate efficiency RR-BLUP after reducing dimensionality SNP's different levels dominance, heritability, and epistatic interactions order demonstrate results obtained with reduced information improve preserve same biological conclusions when using larger data set. 10 F 2 populations diploid species (2n...