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MGIDI: a powerful tool to analyze plant multivariate data.
- Published in:
- Plant Methods, 2022, v. 18, n. 1, p. 1, doi. 10.1186/s13007-022-00952-5
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Mean Performance and Stability in Multi-Environment Trials II: Selection Based on Multiple Traits.
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- Agronomy Journal, 2019, v. 111, n. 6, p. 2961, doi. 10.2134/agronj2019.03.0221
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Mean Performance and Stability in Multi-Environment Trials I: Combining Features of AMMI and BLUP Techniques.
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- Agronomy Journal, 2019, v. 111, n. 6, p. 2949, doi. 10.2134/agronj2019.03.0220
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- Article
Nonlinear Modeling for Analyzing Data from Multiple Harvest Crops.
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- Agronomy Journal, 2018, v. 110, n. 6, p. 2331, doi. 10.2134/agronj2018.05.0307
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- Article
Confidence Interval Width for Pearson's Correlation Coefficient: A Gaussian-Independent Estimator Based on Sample Size and Strength of Association.
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- Agronomy Journal, 2018, v. 110, n. 2, p. 503, doi. 10.2134/agronj2017.09.0566
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- Article
Sampling intensity and size to evaluate harvest losses in soybean crops.
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- Revista Brasileira de Engenharia Agricola e Ambiental - Agriambi, 2023, v. 27, n. 8, p. 593, doi. 10.1590/1807-1929/agriambi.v27n8p593-599
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- Article
Physiological and sanitary quality of soybean seeds under different chemical treatments during storage.
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- Revista Brasileira de Engenharia Agricola e Ambiental - Agriambi, 2016, v. 20, n. 11, p. 1020, doi. 10.1590/1807-1929/agriambi.v20n11p1020-1024
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