Tiago Olivoto

Tiago Olivoto
Federal University of Santa Catarina | UFSC · Departamento de Fitotecnia

Doctor of Agronomy
Teach Biostatistics and Agricultural Experimentation to undergraduate students and research activities on plant breeding

About

136
Publications
72,639
Reads
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803
Citations
Citations since 2016
130 Research Items
801 Citations
2016201720182019202020212022050100150200250
2016201720182019202020212022050100150200250
2016201720182019202020212022050100150200250
2016201720182019202020212022050100150200250
Introduction
My main research interests are related to Plant Breeding and Agricultural Experimentation, with emphasis on the development of methods for stability analysis in plant breeding trials. In my CV, frequent terms are multi-trait indexes, stability analysis, indirect selection, genotype-vs-environment interaction, mixed models, and genetic parameters. I’ve been working on the development of the R packages metan (https://bit.ly/pkgmetan) and pliman (https://bit.ly/pliman)
Additional affiliations
February 2019 - June 2021
Faculdade IDEAU
Position
  • Professor (Assistant)
March 2017 - April 2020
Universidade Federal de Santa Maria
Position
  • PhD Student
Education
March 2015 - March 2017
Federal University of Santa Maria
Field of study
  • Plant breeding and experimental statistics

Publications

Publications (136)
Article
Full-text available
Additive Main Effect and Multiplicative Interaction (AMMI) and Best Linear Unbiased Prediction (BLUP) are two popular methods for analyzing multi-environment trials (MET). AMMI has nice graphical tools for modeling genotype-vs-environment interaction (GEI) but fails in some aspects, such as accommodating a linear mixed-effect model (LMM) structure....
Article
Full-text available
Modeling the genotype-vs-environment interaction (GEI) and quantifying genotypic stability are crucial steps for selecting/recommending genotypes in multi-environment trials (MET). The efficiency in selection/recommendation could be greater if based on multiple traits, but identifying genotypes that combine high performance and stability across man...
Article
Full-text available
Multi‐environment trials (MET) are crucial steps in plant breeding programs that aim increasing crop productivity to ensure global food security. The analysis of MET data requires the combination of several approaches including data manipulation, visualization, and modeling. As new methods are proposed, analyzing MET data correctly and completely r...
Article
Full-text available
Background: Commonly, several traits are assessed in agronomic experiments to better understand the factors under study. However, it is also common to see that even when several traits are available, researchers opt to follow the easiest way by applying univariate analyses and post-hoc tests for mean comparison for each trait, which arouses the hy...
Article
Full-text available
Under global climate changes, understanding climate variables that are most associated with environmental kinships can contribute to improving the success of hybrid selection, mainly in environments with high climate variations. The main goal of this study is to integrate envirotyping techniques and multi-trait selection for mean performance and th...
Conference Paper
Full-text available
O objetivo deste estudo foi descrever a evolução da emissão de folhas de cultivares de linho ao longo do tempo, na região litorânea de Santa Catarina. Duas cultivares de linho foram avaliadas em delineamento experimental de blocos completos casualizados com 3 repetições. Ao longo de 12 avaliações, foram amostradas duas plantas de cada cultivar em c...
Conference Paper
Full-text available
O objetivo deste estudo foi avaliar o desenvolvimento da área foliar total da planta de duas cultivares de linho (Linum usitatissimum, L.) em clima litorâneo utilizando o modelo Logístico. Duas cultivares de linho (Marrom e Dourada) foram avaliadas em Florianópolis-SC utilizando um delineamento de blocos completos casualizados com três repetições....
Conference Paper
Full-text available
As medições manuais de variáveis morfométricas foliares são demoradas e propensas a erros. Os erros podem ser maximizados ao mensurar folhas pequenas como a do linho (Linum usitatissimum, L.) que apresenta, em média, folhas com ~3 cm de comprimento e ~0,4 cm de largura. Neste caso, a mensuração da área foliar utilizando o método de discos foliares...
Conference Paper
Full-text available
As curvas de crescimento de acúmulo de área foliar auxiliam na compreensão do crescimento das plantas. Na cultura do linho (Linum usitatissimum, L.), os benefícios que os modelos de crescimento não linear proporcionam parecem não ser totalmente explorados. Dentre uma gama de modelos disponíveis, identificar o que apresenta melhor ajuste e parâmetro...
Conference Paper
Full-text available
Este trabalho objetivou avaliar o padrão de expansão foliar de duas cultivares de linho (Linum usitatissimum, L.) semeadas na região litorânea de Santa Catarina utilizando o modelo Logístico. Para isso, duas cultivares de linho (marrom e dourada) foram avaliadas utilizando um delineamento de blocos completos casualizados com três repetições. Entre...
Article
Full-text available
The agronomic traits have complex quantitative inheritance, wheat breeding has a highly cost and time expending to achieve advanced lines, and new cultivars. The objective of this work was to estimate the phenotypic (rp), genotypic (rg) and environmental (re) correlation coefficients and the genetic parameters, as well as to estimate the selection...
Article
Full-text available
A large set of variables is assessed for progeny selection in a plant-breeding program and other agronomic fields. The meta-analysis of the coefficient of variation (CVe) produces information for researchers and breeders on the experimental quality of trials. This analysis can also be applied in the decision-making process of the experimental plan...
Article
Full-text available
Coffee outturn can be defined as the ratio between the harvested coffee and its respective processed grains. This character is greatly influenced by genotypic and environmental effects, and in breeding programs your analysis is costly and time-consuming. In this sense, the use of an outturn index to estimate coffee yield on experimental plots is a...
Article
[Full-text, read-only version at https://rdcu.be/cHccA] Image analysis based on color thresholding is the reference method for measuring severity as percent area affected. It is deemed to produce accurate results, usually considered the "true" severity value. More than a dozen applications have been used for the task in phytopathometry studies, but...
Article
Full-text available
Experiments measuring the interaction between genotypes and environments measure the spatial (e.g., locations) and temporal (e.g., years) separation and/or combination of these factors. The genotype-by-environment interaction (GEI) is very important in plant breeding programs. Over the past six decades, the propensity to model the GEI led to the de...
Article
Full-text available
(Full-text, read-only version at https://bit.ly/3AcpLDP) Manual measurements of quantitative traits are time-consuming and error-prone. Therefore, high-throughput phenotyping methods that allow a rapid and accurate assessment are vital to a growing range of researchers such as agronomists, breeders, phytopathologists, geneticists, ecologists, and b...
Article
(Full-text, read-only version at https://bit.ly/3tDbjDS) Genetic diversity studies and analysis of the selection gain of wheat genotypes (Triticum aestivum L.) released over the decades allow the planning of strategies and support decision-making for crossing in wheat breeding. We investigated genetic diversity in tropical wheat germplasm, discusse...
Conference Paper
Full-text available
O rendimento de grãos da soja é definido pela interação entre a planta, o ambiente de cultivo e o manejo utilizado, assim o presente trabalho teve o objetivo de avaliar a produção de legumes e grãos de soja submetida a diferentes populações de plantas. O delineamento experimental utilizado foi blocos ao acaso, sendo duas cultivares de soja (BMX Pot...
Conference Paper
Full-text available
Um rápido estabelecimento das pastagens no campo é uma das características importantes para o sucesso produtivo das culturas. Diante disto, o objetivo deste trabalho foi avaliar o desempenho fisiológico relacionado à produção de massa e crescimento de três diferentes espécies forrageiras anuais. O experimento foi realizado no Laboratório de Melhora...
Article
Full-text available
The differential response of lines to the variation of environments makes it necessary to use robust biometric tools for efficient evaluation and selection of wheat lines in tropical regions of Brazil. The objective of this work was to select tropical wheat lines with high grain yield, adaptability, and stability for the Central region of Brazil us...
Article
Full-text available
Mixed models and multivariate analysis are powerful tools for selecting superior genotypes in plant breeding programs. The BLUP (best linear unbiased prediction) method has been used to predict genetic values without environmental effects. Furthermore, the FAI-BLUP (ideotype-design index) procedure is especially valuable for plant breeding because...
Chapter
Full-text available
A cultura do milho apresenta grande importância para a economia brasileira, os grãos de milho são utilizados diretamente na alimentação humana e como insumos básicos para a alimentação de animais e outras finalidades em nível de indústria. Além da produtividade de grãos é importante a produção de grãos sem a incidência de pragas e doenças, livre de...
Preprint
Full-text available
Image analysis based on color thresholding is the reference method for measuring severity as percent area affected. It is deemed to produce accurate results, usually considered the "true" severity value. More than a dozen applications have been used for the task in phytopathometry studies, but none was coded in R language. Here we introduced and ev...
Article
[ FULL TEXT AT https://bit.ly/3uCXRjD] There is a need to strengthen maize breeding strategies based on multivariate selection to obtain high‐yielding hybrids that are more stable and resilient to contrasting environmental conditions. Here, we show how the multi‐trait stability index (MTSI) can be used to select maize hybrids for mean performance a...
Article
Full-text available
Guar, the most popular vegetable, is tolerant of drought and is a valuable industrial crop enormously grown across India, Pakistan, USA, and South Africa for pharmaceutically and cosmetically usable galactomannan (gum) content present in seed endosperm. Guar genotypes with productive traits which could perform better in differential environmental c...
Code
Provides examples on how to count objects (pods, grains, etc.) in an image using the R package pliman
Code
Provides examples on how to use the R package {pliman} to measure leaf area using leaf images
Preprint
Full-text available
The multi-trait genotype-ideotype distance index (MGIDI) was used to select superior treatments in experiments with strawberries. Twenty-three productive, qualitative, physiological, and phenological traits with negative and positive desired gains were accessed in 16 treatments, a combination of two cultivars (Albionneutral days, and Camarosashort...
Article
Motivation Multivariate data are common in biological experiments and using the information on multiple traits is crucial to make better decisions for treatment recommendations or genotype selection. However, identifying genotypes/treatments that combine high performance across many traits has been a challenger task. Classical linear multi-trait se...
Article
Full-text available
Strawberry is an economically and socially important crop in several regions worldwide. Thus, studies that provide information on topics in strawberry growth are important and must be constantly updated. The aims of this study were to fit a logistic growth model to describe strawberry fruit production and to estimate the partial derivatives of the...
Preprint
Full-text available
S ummary Multivariate data are common in biological experiments and using the information on multiple traits is crucial to make better decisions for treatment recommendations or genotype selection. However, identifying genotypes/treatments that combine high performance across many traits has been a challenger task. Classical linear multi-trait sele...
Code
This document shows how to implement the MGIDI index in the R software using the package metan
Article
Full-text available
Canonical correlations analyzes are being used in the agrarian sciences and constitute an important tool in the interpretation of results. This analysis is performed by complicated mathematical equations and it is only possible to use it thanks to the development of computational software, which allow different interpretations of results, and it is...
Article
Full-text available
The objective of this study was to estimate the coefficient of repeatability and the number of measurements required for production and quality variables in a strawberry crop. An experiment was conducted with two strawberry cultivars from two origins grown in four substrate mixtures, totaling 16 treatments, evaluated in a randomized block design wi...
Article
Full-text available
The great economic importance attributed to strawberry cultivation raises the interest in cultivars of high productivity and superior fruit quality. The quality of fruit is the most impacting factor for the strawberry marketing, but selecting genotypes that combine high production and high fruit quality has been a difficult task. The objective of t...
Code
In this quick tip, I will show you how to compute AMMI analysis with the R package metan. 'performs_ammi(data, ENV, GEN, REP, everything())' is all you need to fit an AMMI model for all numeric variables listed in 'data'.
Code
In this quick tip, I will show you how to compute descriptive statistics in R with the package metan. 'desc_stat(data)' is all you need to compute a lot of descriptive statistics for all numeric variables in 'data'. For more details see the file below.
Code
metan is an R package that provides a collection of functions to analyze data from multi-environment trials, with a special focus on plant breeding. This document shows how to use the package to implement a complete analysis of muli-environment trial data. The online documents accessible https://tiagoolivoto.github.io/metan/ are updated regularly a...
Preprint
Full-text available
Multi-environment trials (MET) are crucial steps in plant breeding programs that aim increasing crop productivity to ensure global food security. The analysis of MET data requires the combination of several approaches including data manipulation, visualization, and modeling. As new methods are proposed, analyzing MET data correctly and completely r...
Article
Full-text available
The objective of this study was to characterize the production of biquinho pepper through the interpretation of parameter estimates from the logistic model and its critical points obtained by the partial derivatives of the function, and to indicate the best cultivar and growing season for subtropical climate sites. For this, a 2x3 factorial experim...
Article
Full-text available
In plant breeding, the dialelic models univariate have aided the selection of parents for hybridization. Multivariate analyses allow combining and associating the multiple pieces of information of the genetic relationships between traits. Therefore, multivariate analyses might refi ne the discrimination and selection of the parents with greater pot...
Thesis
Full-text available
Visando uma melhor compreensão e exploração da interação genótipo-ambiente (IGA) no melhoramento de plantas, tanto o desenvolvimento de novos métodos para análise de adaptabilidade e estabilidade, quanto o aperfeiçoamento dos já existentes são necessários. Este estudo introduz as bases teóricas, a aplicação numérica e a implementação em software es...
Article
Full-text available
The soybean is the main summer crop in Brazil, currently the cultivation of the second crop has been growing. In this sense, the acknowledgement of traits contribution to grain yield in front of these conditions is necessary. The experimental design was in a randomized block, in 2 x 8 factorial scheme, two locals (Salvador das Missões – RS and Tene...
Article
Full-text available
The objective of this study was to identify and estimate the relationships between production component variables and fruit yields in tomatoes. This experiment was conducted in a randomized block design with a 2×3×3 factorial arrangement, with two tomato hybrids (Netuno and San Vito), three doses of boron (H3BO3 - 0, 2, 4 g pit1) and three calcium...
Article
Full-text available
This work aimed to determine variance components and genetic parameters, as well as phenotypic, genetic and environmental correlations among black oat (Avena strigosa) families grown in different crop season. Seventy-six black oat families and three controls (BRS Madrugada, BRS Centauro, BRS 139 Neblina) were evaluated in two crop seasons (2016 and...
Method
Full-text available
This document shows how to use the package metan (multi-environment trial analysis) to compute the MTSI (multi-trait stability index) aiming at selecting superior genotypes considering the mean performance and stability in a multi-trait structure. / Este documento mostra como usar o pacote metan (multi-environment trial analysis) para calcular o MT...
Method
Full-text available
This document shows how to use the functions corr_ci() and corr_ss() of the R package metan (multi-environment trial analysis) to compute the non-parametric confidence interval and to plan the sample size for the Pearson's correlation coefficient. / Este documento mostra como usar as funções corr_ci() and corr_ss() do pacote metan (multi-environmen...
Code
metan v1.10.0 is now on CRAN <https://cran.r-project.org/web/packages/metan/index.html> this document shows the release notes describing the new functions and minor improvements.
Method
Full-text available
This document shows how to use the package metan (multi-environment trial analysis) to identify the stability of genotypes in multi-environment trials based on the WAASB index (weighted average of absolute scores from the singular value decomposition of the matrix of BLUPs for the genotype-environment interaction effects generated by a linear mixed...
Code
The R package metan (multi-environment trials analysis) provides useful functions for analyzing multi-environment trial data using parametric and nonparametric methods, including, but not limited to: (i) within-environment analysis of variance; (ii) Estimation using AMMI considering different numbers of interaction principal component axes; (iii) A...
Article
Full-text available
ABSTRACT This work aimed to estimate the variance components and genetic parameters, the selection gain, and the cause and effect relationships among traits in order to identify important traits for direct and indirect selection of wheat (Triticum aestivum L.) lines. Three strategies were used to obtain selection gains: direct and indirect selectio...
Article
Full-text available
ABSTRACT The cultivation of second-harvest with soybean crop after first-harvest with maize crop has become an alternative to aggregate income to farmers in the South region of Brazil. However, there is little information about this cropping system in this region. The aims of this study were to: (i) evaluate the agronomic performance of soybean (Gl...
Article
The objective of this study was to identify and estimate the relationships between production component variables and fruit yields in tomatoes. This experiment was conducted in a randomized block design with a 2x3x3 factorial arrangement, with two tomato hybrids (Netuno and San Vito), three doses of boron (H3BO3 - 0, 2, 4 g/pit) and three calcium f...
Article
Full-text available
This study aimed to evaluate direct and indirect effects of agronomic traits importance on grain yield with focus in pre-harvest sprouting. Experiment was conducted in 2017 crop season, and conducted in a randomized block design, with three replications, with eight wheat cultivars (BRS Sábia, CD 105, CD 1104, CD 1440, Frontana, Jadeíte 11, Mirante...
Article
Full-text available
The aims of this study were to characterize black oat populations by estimating between- and within-populations variance components and genetic parameters, as well as to distinguish the populations using multivariable statistics. The experiment was carried out in randomized blocks design with three repetitions, with 14 black oat populations collect...
Article
Full-text available
Sunflower cultivation has great importance in Brazil, mainly for production of oil and animal feed. Studies on sunflower cultivar selection are important for crop expansion, contributing to better cultivar adaptation to different environments. Thus, the objective of this study was to evaluate the linear relations among sunflower (Helianthus annuus...
Article
The aim of this work was to use growth models as an alternative analysis of experiments with tomatoes. The data were obtained from field experiments of tomatoes carried out in the 2015/2016 and 2016/2017 growing seasons. Six and nine harvests were carried out in 2015/2016 and 2016/2017, respectively. In each harvest, the number and mass of fruits p...
Conference Paper
Full-text available
O objetivo deste trabalho foi avaliar diferentes misturas de substratos orgânicos na produção de cultivares de morangueiro. O experimento foi conduzido em delineamento blocos casualizados, em esquema fatorial 2x4, sendo duas cultivares (Albion e Camarosa, de dias neutros e de dias curtos, respectivamente) e quatro combinações de substratos: bagaço...