| NEPEM/UFSC

Klein L., Marchioro V., Toebe M., Olivoto T., Meira D., Alberti J., Finatto J., Garafini D., Scaravonatto B., Azeredo N., Ulbrik G., Osmari C., Foguesatto C.

A paleta genética da linhaça: um mergulho na diversidade de cor auxiliado por métodos multivariados

Hada Junior D., Assoni C., Bustamante F., Tonet K., Silva J., Machado M., Olivoto T.

A influência da época de semeadura em caracteres agronômicos e nutracêuticos de linho (Linum usitatissimum, L.) cultivado na região litorânea de Santa Catarina

Assoni C., Sousa P., Silva J., Felipini R., Maraschin M., Olivoto T.

Índices FAI-BLUP e MGIDI na seleção de genótipos de linho

Olivoto T., Souza P., Assoni C., Oliveira E.

Índices FAI-BLUP e MGIDI na seleção de genótipos de linho

Olivoto T., Souza P., Assoni C., Oliveira E.

Um método simples e indireto para estimação da área de folha de linho

Machado M., Tonet K., Olivoto T.

UFSMFW 2202 - Early black oat cultivar for ground cover

Abstract ufsmfw 2202 is an early black oat cultivar with high dry matter and grain yield potential. When used in rotation systems, the …

Marchioro V., Meira D., Klein L., Meier C., Souza V., Follmann D., Carvalho I., Caron B., Schimidt D., Nardino M., Olivoto T.

UFSMFW 2101 - very early black oat cultivar with high yield potential

Abstract the black oat cultivar ufsmfw 2101, recommended for northwest of the state of rio grande do sul, is very early and can produce …

Marchioro V., Meira D., Klein L., Meier C., Souza V., Follmann D., Carvalho I., Caron B., Schimidt D., Nardino M., Olivoto T.

Seleção multivariada de genótipos de linho usando o índice MGIDI

Trois A., Guimaraes V., Chaga V., Souza P., Bustamante F., Machado M., Silva J., Olivoto T.

Selection of superior black oat lines using the MGIDI index

Abstract the objective of this work was to select black oat genotypes using the mgidi for simultaneous selection, comparing it with the …

Klein L., Marchioro V., Toebe M., Olivoto T., Meira D., Meier C., Benin G., Busatto C., Garafini D., Alberti J., Finatto J.

RGB image-based method for phenotyping rust disease progress in pea leaves using R

Rust is a damaging disease affecting vital crops, including pea, and identifying highly resistant genotypes remains a challenge. …

Osuna-Caballero S., Olivoto T., Jiménez-Vaquero M., Rubiales D., Rispail N.

Research on microgreens: a bibliometric analysis

Microgreens are vegetables whose edible parts are harvested at the seedling stage. They are highly nutritious and widely used in …

Ferreira M., Henschel J., Olivoto T., Batista D., Zeist A.

Relação entre SPAD e o índice DGCI em folhas de linho obtido em diferentes condições de iluminação

Machado M., Trois A., Guimaraes V., Chaga V., Souza P., Silva J., Olivoto T.

Path analysis associated with fungicide use in corn hybrids

The objective of this study was to identify the linear relationships between the morphological variables of corn hybrids, associated …

Follmann D., Eggers H., Rosa G., Bolzan F., Lucio A., Marchioro V., Maldaner I., Olivoto T.

Path analysis associated with fungicide use in corn hybrids

The objective of this study was to identify the linear relationships between the morphological variables of corn hybrids, associated …

Follmann D., Eggers H., Rosa G., Bolzan F., Lucio A., Marchioro V., Maldaner I., Olivoto T.

Multi-trait selection in multi-environments for performance and stability in cassava genotypes

Genotype-environment interaction (gei) presents challenges when aiming to select optimal cassava genotypes, often due to biased genetic …

Sampaio Filho J., Olivoto T., Campos M., Oliveira E.

Modelagem da área foliar de cultivares de linho em diferentes épocas de semeadura utilizando o modelo Logístico

Silva J., Passos M., Trois A., Souza P., Bustamante F., Olivoto T.

Genetic parameters and genetic dissimilarity of Gower in black oat

Abstract: this research evaluated the agronomic performance through mixed models, and determined the genetic divergence between black …

Klein L., Marchioro V., Toebe M., Olivoto T., Meira D., Meier C., Chitolina G., Allebrante L., Ricardi G., Bastiani R., Busatto C.

Genetic gains in tropical maize hybrids across moisture regimes with multi-trait-based index selection

Unpredictable weather vagaries in the asian tropics often increase the risk of a series of abiotic stresses in maize-growing areas, …

Singamsetti A., Zaidi P., Seetharam K., Vinayan M., Olivoto T., Mahato A., Madankar K., Kumar M., Shikha K.

Genetic gains in tropical maize hybrids across moisture regimes with multi-trait-based index selection

Unpredictable weather vagaries in the asian tropics often increase the risk of a series of abiotic stresses in maize-growing areas, …

Singamsetti A., Zaidi P., Seetharam K., Vinayan M., Olivoto T., Mahato A., Madankar K., Kumar M., Shikha K.

Diversidade genética entre acessos de linho (Linum usitatissimum, L.) baseada em caracteres morfoagronômicos

Guimaraes V., Trois A., Machado M., Souza P., Chaga V., Silva J., Olivoto T.

Diferencial de seleção direto e indireto visando seleção de genótipos de linho

Souza P., Guimaraes V., Trois A., Bustamante F., Chaga V., Silva J., Assoni C., Olivoto T.

Desenvolvimento de novos genótipos de batata-doce com alta produtividade e qualidade por meio de índice de seleção

Silva Junior A., Oliveira F., Aguiar Neto J., Albuquerque D., Lopez J., Souza A., Olivoto T., Zeist A., Gomes C.

Desempenho agronômico do linho em diferentes épocas de semeadura

Trois A., Assoni C., Souza P., Bustamante F., Oliveira E., Silva J., Olivoto T.

Desempenho agronômico do linho em diferentes épocas de semeadura

Trois A., Assoni C., Souza P., Bustamante F., Oliveira E., Silva J., Olivoto T.

Correlação canônica entre caracteres morfológicos e componentes de rendimento em genótipos de linho (Linum usitatissimum, L.)

Chaga V., Silva J., Souza P., Guimaraes V., Trois A., Machado M., Olivoto T.

Análise de trilha para caracteres agronômicos e componentes de rendimento em genótipos de linhaça (Linum usitatissimum, L.)

Silva J., Souza P., Bustamante F., Guimaraes V., Trois A., Chaga V., Machado M., Olivoto T.

Stability Indices to Deciphering the Genotype-by-Environment Interaction (GEI) Effect: An Applicable Review for Use in Plant Breeding Programs

Experiments measuring the interaction between genotypes and environments measure the spatial (e.g., locations) and temporal (e.g., …

Pour-Aboughadareh A., Khalili M., Poczai P., Olivoto T.

Padrão de emissão de folhas de cultivares de linho revelado pelo modelo logístico e seus pontos críticos

Trois A., Bustamante F., Sousa P., Olivoto T.

O modelo logístico e seus pontos críticos sugerem diferença no padrão de expansão foliar de cultivares de linho

Sousa P., Trois A., Bustamante F., Olivoto T.

Multi-trait selection for mean performance and stability of maize hybrids in mega-environments delineated using envirotyping techniques

Under global climate changes, understanding climate variables that are most associated with environmental kinships can contribute to …

Yue H., Olivoto T., Bu J., Li J., Wei J., Xie J., Chen S., Peng H., Nardino M., Jiang X.

MGIDI: a powerful tool to analyze plant multivariate data

Commonly, several traits are assessed in agronomic experiments to better understand the factors under study. However, it is also common …

Olivoto T., Diel M., Schmidt D., Lúcio A.

Meta-analysis of the experimental coefficient of variation in wheat using the Bayesian and Frequentist approaches

Abstract a large set of variables is assessed for progeny selection in a plant-breeding program and other agronomic fields. The …

Nardino M., Silva F., Olivoto T., Barros W., Carvalho C., Signorini V., Mezzomo H., Casagrande C.

Measuring plant disease severity in R: introducing and evaluating the pliman package

Image analysis based on color thresholding is the reference method for measuring severity as percent area affected. It is deemed to …

Olivoto T., Andrade S., Del Ponte E.

Lights, camera, pliman! an R package for plant image analysis

Olivoto T.

Genetic diversity in tropical wheat germplasm and selection via multitrait index

Abstract genetic diversity studies and analysis of the selection gain of wheat genotypes (triticum aestivum l.) released over the …

Lima G., Silva C., Mezzomo H., Casagrande C., Olivoto T., Borem A., Nardino M.

Correlation and selection gains in F6 wheat genotypes

Abstract the agronomic traits have complex quantitative inheritance, wheat breeding has a highly cost and time expending to achieve …

Meier C., Marchioro V., Olivoto T., Meira D., Klein L., Souza V.

A scientometric view of wheat blast: the new catastrophic threat to wheat worldwide

As wheat blast is one of the most damaging disease of wheat worldwide and extremely important in brazil, in this work we are trying to …

Marchioro V., Benin G., Meira D., Meier C., Olivoto T., Klein L., Woyann L., Toebe M., Bozi A.

Selection of tropical wheat lines based on classical and modern parameters of adaptability and stability

Silva, c. M., mezzomo, h. C., casagrande, c. R., lima, g. W., olivoto, t. & Nardino, m. (2021). Selection of tropical wheat lines …

Machado E Silva C., Mezzomo H., Casagrande C., Lima G., Olivoto T., Nardino M.

Multi‐trait selection for mean performance and stability in maize

There is a need to strengthen maize (zea mays l.) breeding strategies based on multivariate selection to obtain high-yielding hybrids …

Olivoto T., Nardino M., Meira D., Meier C., Follmann D., Souza V., Konflanz V., Baretta D.

MGIDI: toward an effective multivariate selection in biological experiments

Motivation: multivariate data are common in biological experiments and using the information on multiple traits is crucial to make …

Olivoto T., Nardino M.

Genetic parameters and multiple-trait selection in wheat genotypes

Abstract mixed models and multivariate analysis are powerful tools for selecting superior genotypes in plant breeding programs. The …

Meier C., Marchioro V., Meira D., Olivoto T., Klein L.

A Framework for Identification of Stable Genotypes Basedon MTSI and MGDII Indexes: An Example in Guar (Cymopsis tetragonoloba L.)

Guar, the most popular vegetable, is tolerant of drought and is a valuable industrial crop enormously grown across india, pakistan, …

Benakanahalli N., Sridhara S., Ramesh N., Olivoto T., Sreekantappa G., Tamam N., Abdelbacki A., Elansary H., Abdelmohsen S.

MGIDI: towards an effective multivariate selection in biological experiments

Multi-trait selection in biological experiments

Tiago Olivoto, Maicon Nardino

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MGIDI: towards an effective multivariate selection in biological experiments

metan: an R package for multi‐environment trial analysis

The reference article of the r pakage metan

Tiago Olivoto, Alessandro Dal’Col Lúcio

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metan: an R package for multi‐environment trial analysis

Repeatability coefficients and number of measurements for evaluating traits in strawberry

The objective of this study was to estimate the coefficient of repeatability and the number of measurements required for production and …

Diel M., Lucio A., Olivoto T., Pinheiro M., Krysczun D., Sari B., Schmidt D.

Production of biquinho pepper in different growing seasons characterized by the logistic model and its critical points

The objective of this study was to characterize the production of biquinho pepper through the interpretation of parameter estimates …

Diel M., Lucio A., Valera O., Sari B., Olivoto T., Pinheiro M., Melo P., Tartaglia F., Schmidt D.

Multivariate diallel analysis by factor analysis for establish mega-traits

In plant breeding, the dialelic models univariate have aided the selection of parents for hybridization. Multivariate analyses allow …

Nardino M., Barros W., Olivoto T., Cruz C., E Silva F., De Pelegrin A., De Souza V., Carvalho I., Szareski V., De Oliveira A., Da Maia L., Konflanz V.

metan: An R package for multi‐environment trial analysis

Multi-environment trials (met) are crucial steps in plant breeding programs that aim at increasing crop productivity to ensure global …

Olivoto T., Lucio A.

Canonical correlations in agricultural research: Method of interpretation used leads to greater reliability of results

Canonical correlations analyzes are being used in the agrarian sciences and constitute an important tool in the interpretation of …

Diel M., Lucio A., Michalski Lambrecht D., Pinheiro M., Sari B., Olivoto T., Valera O., de Melo P., Tartaglia F., Tischler A., Schmidt D.

Behavior of strawberry production with growth models: a multivariate approach

Strawberry is an economically and socially important crop in several regions worldwide. Thus, studies that provide information on …

Diel M., Lucio A., Sari B., Olivoto T., Pinheiro M., Krysczum D., Melo P., Schmidt D.

Selection gain and interrelations between agronomic traits in wheat F5 genotypes

This work aimed to estimate the variance components and genetic parameters, the selection gain, and the cause and effect relationships …

Meier C., Meira D., Marchioro V., Olivoto T., Klein L., de Souza V.

Relationship between morpho-agronomic traits in tomato hybrids

The objective of this study was to identify and estimate the relationships between production component variables and fruit yields in …

Diel M., Zamban D., Olivoto T., Krysczun D., Pinheiro M., Sari B., Schmidt D., Lucio A.

Performance agron^omica e correla~ao linear entre componentes de rendimento da soja em segunda safra Agronomic performance and linear correlation between yield traits in second-harvest soybean

Meier C., Meira D., Marchioro V., Olivoto T., Klein L., Moro E., Lunkes A., Rigatti A., Bello R., Bueno R., Souza V.

Nonlinear growth models: An alternative to ANOVA in tomato trials evaluation

The aim of this work was to use growth models as an alternative analysis of experiments with tomatoes. The data were obtained from …

Sari B., Lucio A., Santana C., Olivoto T., Diel M., Krysczun D.

Multivariate analysis revealed genetic divergence and promising traits for indirect selection in black oat

This study aimed to identify important traits for indirect selection and to evaluate the variability among black oat populations …

Meira D., Meier C., Olivoto T., Follmann D., Rigatti A., Lunkes A., Marchioro V., Souza V.

Mean Performance and Stability in Multi‐Environment Trials II: Selection Based on Multiple Traits

Modeling the genotype × environment interaction (gei) and quantifying genotypic stability are crucial steps for selecting/recommending …

Olivoto T., Lucio A., Silva J., Sari B., Diel M.

Mean Performance and Stability in Multi‐Environment Trials I: Combining Features of AMMI and BLUP Techniques

Additive main effect and multiplicative interaction (ammi) and best linear unbiased prediction (blup) are popular methods for analyzing …

Olivoto T., Lucio A., Silva J., Marchioro V., Souza V., Jost E.

Grain Yield and Its Associations With Pre-harvest Sprouting in Wheat

This study aimed to evaluate direct and indirect effects of agronomic traits importance on grain yield with focus in pre-harvest …

Rigatti A., Meira D., Olivoto T., Meier C., Nardino M., Lunkes A., Klein L., Fassini F., Moro E., Marchioro V., de Souza V.

Estimates of genetic parameters between and within black oat populations

The aims of this study were to characterize black oat populations by estimating between- and within-populations variance components and …

Meira D., Meier C., Olivoto T., Nardino M., Klein L., Moro E., Fassini F., Marchioro V., de Souza V., Meira D., Meier C., Olivoto T., Nardino M., Klein L., Moro E., Fassini F., Marchioro V., de Souza V.

Correlations and Path Analysis in Sunflower Grown at Lower Elevations

Sunflower cultivation has great importance in brazil, mainly for production of oil and animal feed. Studies on sunflower cultivar …

Follmann D., Filho A., dos Santos M., Costa V., Plautz E., Scopel J., Bamberg D., Engel G., Olivoto T., Wartha C., Nardino M.

Agronomic performance and genetic dissimilarity of second-harvest soybean cultivars using REML/BLUP and Gowers algorithm

The cultivation of second-harvest with soybean crop after first-harvest with maize crop has become an alternative to aggregate income …

Follmann D., de Souza V., Cargnelutti Filho A., Demari G., Nardino M., Olivoto T., Carvalho I., Silva A., Meira D., Meier C.

Variability, plot size and border effect in lettuce trials in protected environment

The variability within rows of cultivation may reduce the accuracy of experiments conducted in a complete randomized block design if …

Santos D., Lucio A., Cargnelutti Filho A., Lopes S., Olivoto T.

The Size of the Uniformity Trial Affects the Accuracy of Plot Size Estimation in Eggplant

The plot size estimation is based on uniformity trials, however little is known about and how the size of uniformity trial affects the …

Krysczun D., Lucio A., Sari B., Diel M., Olivoto T., da Silva J., Santana C., Melo P., Gomes S.

Sample size, plot size and number of replications for trials with Solanum melongena L.

Due to the increasing consumption of eggplant (solanum melongena l.), research should be carried out with this horticultural species …

Krysczun D., Lucio A., Sari B., Diel M., Olivoto T., Santana C., Ubessi C., Schabarum D.

Productive variability, border use and plot size in trials with cherry tomato

Knowing the productive variability within protected environments is crucial for choosing the experimental design to be used in that …

Santos D., Lucio A., Lopes S., Cargnelutti Filho A., Olivoto T.

Precision of growth estimates and sufficient sample size: can solar radiation level change these factors?

Elli E., Olivoto T., Schmidt D., Caron B., Souza V.

Photosynthetic photon flux density levels affect morphology and bromatology in Cichorium endivia L. var. latifolia grown in a hydroponic system

Photosynthetic photon flux density (ppfd) in suboptimal or super-optimal levels can modify the biomass accumulation, bromatological …

Olivoto T., Elli E., Schmidt D., Caron B., de Souza V.

Path analysis and phenotypic correlation among yield components of soybean using environmental stratification methods

The main aim of this study was to investigate the phenotypic correlation of yield component traits using several environmental …

Ferrari M., Carvalho I., de Pelegrin A., Nardino M., Szareski V., Olivoto T., da Rosa T., Follmann D., Pegoraro C., da Maia L., de Souza V.

Nonlinear regression for description of strawberry (Fragaria x ananassa) production

The aim of this study was to select growth models to describe strawberry (fragaria x ananassa)fruit production. To do this, data on 16 …

Diel M., Sari B., Krysczun D., Olivoto T., Pinheiro M., Meira D., Schmidt D., Lucio A.

Nonlinear Modeling for Analyzing Data from Multiple Harvest Crops

Nonlinear growth models have been widely used for analyzing production curves with a sigmoidal pattern; however, all benefits that …

Sari B., Olivoto T., Diel M., Krysczun D., Lucio A., Savian T.

Morphological characteristics and grain yield of simple corn hybrids in different environments

Olivoto T., Carvalho I., Nardino M., Ferrari M., de Pelegrin A., Szareski V., Demari G., de Souza V.

Methods of adaptability and stability applied to eucalyptus breeding

dos Santos O., Carvalho I., Nardino M., Olivoto T., de Pelegrin A., Szareski V., Ferrari M., Nunes A., Demari G., Lautenchleger F., de Souza V., da Maia L.

Interference of sample size on multicollinearity diagnosis in path analysis

The objective of this work was to evaluate the interference of sample size on multicollinearity diagnosis in path analysis. From the …

Sari B., Lucio A., Olivoto T., Krysczun D., Tischler A., Drebes L.

Environment Stratification in the Evaluation of Corn Hybrids in Southern Brazil

The implementation of a network of maize trials is an onerous task, so breeding programs seek to eliminate redundant environments, …

Nardino M., Baretta D., Carvalho I., Olivoto T., Follmann D., de Pelegrin A., Szareski V., Lautenchleger F., da Rosa T., Barbosa M., Konflanz V., Barros W., de Souza V.

Confidence Interval Width for Pearsons Correlation Coefficient: A Gaussian-Independent Estimator Based on Sample Size and Strength of Association

Olivoto T., Lucio A., de Souza V., Nardino M., Diel M., Sari B., Krysczun D., Meira D., Meier C.

Caracteres morfologicos e rendimento de gr~aos de hibridos simples de milho em diferentes ambientes

The aim of this study was to assess the behavior of morphological components and yield of simple hybrid corn grains cultivated in …

Olivoto T., Carvalho I., Nardino M., Ferrari M., de Pelegrin A., Szareski V., Demari G., de Souza V.

Variability and Experimental Desing for Trials with Cucurbita pepo and Capsicum annuum

The variability within rows of cultivation may reduce the accuracy of vegetables trails; however, little is known about this …

Lucio A., Santos D., Olivoto T.

The effect of types and split of urea on yield indicators and yield components of maize

Maize is one of the most important cereals in the world. The productive potential of this crop is closely associated with nitrogen (n) …

de Oliveira J., Krysczun D., Ubessi C., Olivoto T., Sari B., Diel M., Lucio A., Viau L.

Splitting and nitrogen sources in the physiological quality of wheat seed

Olivoto T., Nardino M., Carvalho I., Ferrari M., De Pelegrin A., Szareski V., De Souza V.

Solar radiation levels modify the growth traits and bromatological composition of cichorium intybus

Shading greenhouse may be an effective method to achieve a suitable environment for crop growth and to enhance crop yield and quality …

Schwerz F., Sgarbossa J., Olivoto T., Elli E., Aguiar A., Caron B., Schmidt D.

REML/BLUP and sequential path analysis in estimating genotypic values and interrelationships among simple maize grain yield-related traits

Olivoto T., Nardino M., Carvalho I., Follmann D., Ferrari M., Szareski V., de Pelegrin A., de Souza V.

Plant secondary metabolites and its dynamical systems of induction in response to environmental factors: A review

Under natural conditions, the plants are, usually, surrounded by a series of potential enemies. They had created strategies of defense …

Olivoto T., Nardino M., Carvalho I., Follmann D., Szareski V., Ferrari M., de Pelegrin A., de Souza V.

Physiological traits and their relationships in black oat populations

The objective of this work was to verify physiological quality of black oat populations, in order to know and point out the …

Meira D., Meier C., Olivoto T., Nardino M., Rigatti A., Lunkes A., Bordin R., Marchioro V., Souza V.

Path analysis of grain yield associated characters in Brazilians wheat genotypes (Triticum aestivum L.)

The aim of this study was to evaluate the phenotypic interrelation among agronomic characters associated with wheat grain yield of the …

Carvalho I., Nardino M., Follmann D., Demari G., Olivoto T., Pelegrin A., Szareski V., Ferrari M., da Rosa T., Koch F., Aisenberg G., Pedo T., Aumonde T., de Souza V.

Parcelamento e fontes de nitrog^enio na qualidade fisiologica de sementes de trigo

Diferentes fontes e manejos parcelados de nitrog^enio podem aumentar a disponibilidade, a absor~ao e a assimila~ao deste nutriente …

Olivoto T., Nardino M., Carvalho I., Ferrari M., de Pelegrin A., Szareski V., de Souza V.

Optimal sample size and data arrangement method in estimating correlation matrices with lesser collinearity: A statistical focus in maize breeding

Information about data arrangement methodologies and optimal sample size in estimating the pearson correlation coefficient (r) among …

Olivoto T., Nardino M., Carvalho I., Follmann D., Ferrari M., de Pelegrin A., Szareski V., de Oliveira A., Caron B., de Souza V.

Multicollinearity in path analysis: a simple method to reduce its effects

Olivoto T., Souza V., Nardino M., Carvalho I., Ferrari M., Pelegrin A., Szareski V., Schmidt D.

Restricted maximum likelihood/best linear unbiased prediction (REML/BLUP) for analyzing the agronomic performance of corn

Adoption of accurate and simplistic biometric models that estimate variance components, predicting genotypic effects are desired in …

Nardino M., Baretta D., Carvalho I., Olivoto T., Follmann D., Szareski V., Ferrari M., de Pelegrin A., Konflanz V., de Souza V.

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