Search Results - "Olivoto, Tiago"

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  1. 1

    Stability Indices to Deciphering the Genotype-by-Environment Interaction (GEI) Effect: An Applicable Review for Use in Plant Breeding Programs by Pour-Aboughadareh, Alireza, Khalili, Marouf, Poczai, Peter, Olivoto, Tiago

    Published in Plants (Basel) (02-02-2022)
    “…Experiments measuring the interaction between genotypes and environments measure the spatial (e.g., locations) and temporal (e.g., years) separation and/or…”
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    Multi-trait selection for mean performance and stability of maize hybrids in mega-environments delineated using envirotyping techniques by Yue, Haiwang, Olivoto, Tiago, Bu, Junzhou, Li, Jie, Wei, Jianwei, Xie, Junliang, Chen, Shuping, Peng, Haicheng, Nardino, Maicon, Jiang, Xuwen

    Published in Frontiers in plant science (14-11-2022)
    “…Under global climate changes, understanding climate variables that are most associated with environmental kinships can contribute to improving the success of…”
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    Multi-trait selection in multi-environments for performance and stability in cassava genotypes by Sampaio Filho, Juraci Souza, Olivoto, Tiago, Campos, Marcos de Souza, de Oliveira, Eder Jorge

    Published in Frontiers in plant science (30-10-2023)
    “…Genotype-environment interaction (GEI) presents challenges when aiming to select optimal cassava genotypes, often due to biased genetic estimates. Various…”
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  4. 4

    MGIDI: a powerful tool to analyze plant multivariate data by Olivoto, Tiago, Diel, Maria I, Schmidt, Denise, Lúcio, Alessandro D

    Published in Plant methods (12-11-2022)
    “…Abstract Background Commonly, several traits are assessed in agronomic experiments to better understand the factors under study. However, it is also common to…”
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  5. 5

    Genetic gains in tropical maize hybrids across moisture regimes with multi-trait-based index selection by Singamsetti, Ashok, Zaidi, Pervez H, Seetharam, Kaliyamoorthy, Vinayan, Madhumal Thayil, Olivoto, Tiago, Mahato, Anima, Madankar, Kartik, Kumar, Munnesh, Shikha, Kumari

    Published in Frontiers in plant science (03-03-2023)
    “…Unpredictable weather vagaries in the Asian tropics often increase the risk of a series of abiotic stresses in maize-growing areas, hindering the efforts to…”
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    RGB image-based method for phenotyping rust disease progress in pea leaves using R by Osuna-Caballero, Salvador, Olivoto, Tiago, Jiménez-Vaquero, Manuel A, Rubiales, Diego, Rispail, Nicolas

    Published in Plant methods (21-08-2023)
    “…Abstract Background Rust is a damaging disease affecting vital crops, including pea, and identifying highly resistant genotypes remains a challenge. Accurate…”
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    Measuring plant disease severity in R: introducing and evaluating the pliman package by Olivoto, Tiago, Andrade, Sheila M. P., M. Del Ponte, Emerson

    Published in Tropical plant pathology (01-02-2022)
    “…Image analysis based on color thresholding is the reference method for measuring severity as percent area affected. It is deemed to produce accurate results,…”
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  9. 9

    Meta-analysis of the experimental coefficient of variation in wheat using the Bayesian and Frequentist approaches by Nardino, Maicon, Silva, Fabyano Fonseca e, Olivoto, Tiago, Barros, Willian Silva, Carvalho, Chainheny Gomes de, Signorini, Victor Silva, Mezzomo, Henrique Caletti, Casagrande, Cleiton Renato

    Published in Scientia agricola (01-01-2023)
    “…ABSTRACT A large set of variables is assessed for progeny selection in a plant-breeding program and other agronomic fields. The meta-analysis of the…”
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  10. 10

    Photosynthetic photon flux density levels affect morphology and bromatology in Cichorium endivia L. var. latifolia grown in a hydroponic system by Olivoto, Tiago, Elli, Elvis Felipe, Schmidt, Denise, Caron, Braulio Otomar, de Souza, Velci Queiróz

    Published in Scientia horticulturae (07-01-2018)
    “…•Photosynthetic photon flux density (PPFD) levels were studied in escarole crop.•Lower PPFD improves visual, morphological and bromatological traits.•PPFD…”
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  11. 11

    Genetic parameters and genetic dissimilarity of Gower in black oat by Klein, Luís Antônio, Marchioro, Volmir Sergio, Toebe, Marcos, Olivoto, Tiago, Meira, Daniela, Meier, Carine, Chitolina, Gesiel, Allebrante, Lucas Revers, Ricardi, Geovanna Nikole Pereira, Bastiani, Ricardo Reffatti, Busatto, Cleiton Antônio

    Published in Ciência rural (01-01-2024)
    “…This research evaluated the agronomic performance through mixed models, and determined the genetic divergence between black oat genotypes. The experiment was…”
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  12. 12

    Genetic parameters and multiple-trait selection in wheat genotypes by Meier, Carine, Marchioro, Volmir Sergio, Meira, Daniela, Olivoto, Tiago, Klein, Luís Antônio

    Published in Pesquisa agropecuária tropical (01-01-2021)
    “…ABSTRACT Mixed models and multivariate analysis are powerful tools for selecting superior genotypes in plant breeding programs. The BLUP (best linear unbiased…”
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    Multi-trait stability index for identification of stable green gram (Vigna radiata (L.) Wilczek) genotypes with MYMV resistance by Aruna, K., Kumar B. M, Dushyantha, Sridhara, Shankarappa, B A, Sowjanya, K L, Naveen Kumar, Moussa, Ihab Mohamed, O. Elansary, Hosam, Olivoto, Tiago

    Published in Heliyon (30-06-2024)
    “…Multi-environment trials (MET) are crucial for selecting genotypes that are well-suited to different environmental conditions. Incorporating multiple traits in…”
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    MGIDI: toward an effective multivariate selection in biological experiments by Olivoto, Tiago, Nardino, Maicon

    Published in Bioinformatics (16-06-2021)
    “…Abstract Motivation Multivariate data are common in biological experiments and using the information on multiple traits is crucial to make better decisions for…”
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  17. 17

    Correlation and selection gains in F6 wheat genotypes by Meier, Carine, Marchioro, Volmir Sergio, Olivoto, Tiago, Meira, Daniela, Klein, Luís Antônio, Souza, Velci Queiroz de

    Published in Revista Ceres (01-09-2022)
    “…ABSTRACT The agronomic traits have complex quantitative inheritance, wheat breeding has a highly cost and time expending to achieve advanced lines, and new…”
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  18. 18

    Selection gain and interrelations between agronomic traits in wheat F5 genotypes by Meier, Carine, Meira, Daniela, Marchioro, Volmir Sergio, Olivoto, Tiago, Klein, Luís Antônio, Souza, Velci Queiroz de

    Published in Revista Ceres (01-08-2019)
    “…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…”
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    Interference of sample size on multicollinearity diagnosis in path analysis by Sari, Bruno Giacomini, Lúcio, Alessandro Dal’Col, Olivoto, Tiago, Krysczun, Dionatan Ketzer, Tischler, André Luís, Drebes, Lucas

    Published in Pesquisa agropecuaria brasileira (01-06-2018)
    “…The objective of this work was to evaluate the interference of sample size on multicollinearity diagnosis in path analysis. From the analyses of productive…”
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