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Tiago Olivoto
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metan: An R package for multi‐environment trial analysis
T Olivoto, ADC Lúcio
Methods in Ecology and Evolution 11 (6), 783-789, 2020
7442020
Mean performance and stability in multi‐environment trials I: combining features of AMMI and BLUP techniques
T Olivoto, ADC Lúcio, JAG da Silva, VS Marchioro, VQ de Souza, E Jost
Agronomy Journal 111 (6), 2949-2960, 2019
3502019
Mean performance and stability in multi‐environment trials II: Selection based on multiple traits
T Olivoto, ADC Lúcio, JAG da Silva, BG Sari, MI Diel
Agronomy Journal 111 (6), 2961-2969, 2019
2562019
MGIDI: Toward an effective multivariate selection in biological experiments
T Olivoto, M Nardino
Bioinformatics 37 (10), 1383-1389, 2021
2042021
Plant secondary metabolites and its dynamical systems of induction in response to environmental factors: A review
T Olivoto, M Nardino, IR Carvalho, DN Follmann, VÃJ Szareski, M Ferrari, ...
African Journal of Agricultural Research 12 (2), 71-84, 2017
1202017
Stability indices to deciphering the genotype-by-environment interaction (GEI) effect: An applicable review for use in plant breeding programs
A Pour-Aboughadareh, M Khalili, P Poczai, T Olivoto
Plants 11 (3), 414, 2022
1042022
A Framework for Identification of Stable Genotypes Basedon MTSI and MGDII Indexes: An Example in Guar (Cymopsis tetragonoloba L.)
NK Benakanahalli, S Sridhara, N Ramesh, T Olivoto, G Sreekantappa, ...
Agronomy 11 (6), 1221, 2021
922021
Multicollinearity in path analysis: a simple method to reduce its effects
T Olivoto, VQ de Souza, M Nardino, IR Carvalho, M Ferrari, ...
Agronomy journal 109 (1), 131-142, 2017
862017
REML/BLUP and sequential path analysis in estimating genotypic values and interrelationships among simple maize grain yield-related traits
T Olivoto, M Nardino, IR Carvalho, DN Follmann, M Ferrari, VJ Szareski, ...
Genetics and Molecular Research 16 (1), 1-19, 2017
532017
metan: An R package for multi-environment trial analysis. Methods Ecol Evol 11: 783–789
T Olivoto, ADC Lúcio
492020
Nonlinear growth models: An alternative to ANOVA in tomato trials evaluation
BG Sari, ADC Lúcio, CS Santana, T Olivoto, MI Diel, DK Krysczun
European Journal of Agronomy 104, 21-36, 2019
462019
Path analysis and phenotypic correlation among yield components of soybean using environmental stratification methods
M Ferrari, IR Carvalho, AJ de Pelegrin, M Nardino, VJ Szareski, T Olivoto, ...
Australian Journal of Crop Science 12 (2), 193-202, 2018
402018
Multi‐trait selection for mean performance and stability in maize
T Olivoto, M Nardino, D Meira, C Meier, DN Follmann, VQ de Souza, ...
Agronomy Journal 113 (5), 3968-3974, 2021
392021
MGIDI: A novel multi-trait index for genotype selection in plant breeding
T Olivoto, M Nardino
bioRxiv, 2020.07. 23.217778, 2020
382020
Nonlinear modeling for analyzing data from multiple harvest crops
BG Sari, T Olivoto, MI Diel, DK Krysczun, ADC Lúcio, TV Savian
Agronomy Journal 110 (6), 2331-2342, 2018
352018
Nonlinear regression for description of strawberry (Fragaria x ananassa) production
MI Diel, BG Sari, DK Krysczun, T Olivoto, MVM Pinheiro, D Meira, ...
The Journal of Horticultural Science and Biotechnology 94 (2), 259-273, 2019
332019
MGIDI: a powerful tool to analyze plant multivariate data
T Olivoto, MI Diel, D Schmidt, AD Lúcio
Plant Methods 18 (1), 121, 2022
322022
Genetic gains in tropical maize hybrids across moisture regimes with multi-trait-based index selection
A Singamsetti, PH Zaidi, K Seetharam, MT Vinayan, T Olivoto, A Mahato, ...
Frontiers in Plant Science 14, 1147424, 2023
292023
Multivariate analysis of strawberry experiments: where are we now and where can we go?
T Olivoto, MI Diel, D Schmidt, ADC Lúcio
BioRxiv, 2020.12. 30.424876, 2021
292021
Multi-trait selection for mean performance and stability of maize hybrids in mega-environments delineated using envirotyping techniques
H Yue, T Olivoto, J Bu, J Li, J Wei, J Xie, S Chen, H Peng, M Nardino, ...
Frontiers in Plant Science 13, 1030521, 2022
272022
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