Found: 15
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Multiple-trait model through Bayesian inference applied to flood-irrigated rice (Oryza sativa L).
- Published in:
- Euphytica, 2022, v. 218, n. 9, p. 1, doi. 10.1007/s10681-022-03077-x
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- Publication type:
- Article
Application of fuzzy logic for adaptability and stability studies in flood‐irrigated rice (Oryza sativa).
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- Plant Breeding, 2021, v. 140, n. 6, p. 1002, doi. 10.1111/pbr.12973
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- Publication type:
- Article
Quarter century genetic progress in irrigated rice (Oryza sativa) in Southeast Brazil.
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- Plant Breeding, 2021, v. 140, n. 6, p. 990, doi. 10.1111/pbr.12972
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- Publication type:
- Article
Genetic diversity and interaction between the maintainers of commercial soybean cultivars using self‐organizing maps.
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- Crop Science, 2022, v. 62, n. 6, p. 2233, doi. 10.1002/csc2.20816
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- Publication type:
- Article
Multi-trait and multi-environment Bayesian analysis to predict the G x E interaction in flood-irrigated rice.
- Published in:
- PLoS ONE, 2022, v. 17, n. 5, p. 1, doi. 10.1371/journal.pone.0259607
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- Publication type:
- Article
Prediction of the importance of auxiliary traits using computational intelligence and machine learning: A simulation study.
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- PLoS ONE, 2021, v. 16, n. 11, p. 1, doi. 10.1371/journal.pone.0257213
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- Publication type:
- Article
Development and validation of a health information system for assistance and research in gestational trophoblast disease.
- Published in:
- 2022
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- Publication type:
- journal article
Flavonoids and their relationship with the physiological quality of seeds from different soybean genotypes.
- Published in:
- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-68117-z
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- Publication type:
- Article
RELATIONSHIP BETWEEN VEGETATION INDICES AND AGRONOMIC PERFORMANCE OF MAIZE VARIETIES UNDER DIFFERENT NITROGEN RATES.
- Published in:
- Bioscience Journal, 2020, v. 36, n. 5, p. 1638, doi. 10.14393/BJ-v36n5a2020-47993
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- Publication type:
- Article
Spectral trend of vegetation with rainfall in events of El Niño-Southern Oscillation for Atlantic Forest biome, Brazil.
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- Environmental Monitoring & Assessment, 2018, v. 190, n. 11, p. 1, doi. 10.1007/s10661-018-7060-1
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- Publication type:
- Article
Updating knowledge in estimating the genetics parameters: Multi-trait and Multi-Environment Bayesian analysis in rice.
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- Scientia Agricola, 2023, v. 80, p. 1, doi. 10.1590/1678-992X-2022-0056
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- Publication type:
- Article
Comparative study between phenotypic and genomic analyses aimed at choosing parents for hybridization purposes.
- Published in:
- Acta Scientiarum: Agronomy, 2023, v. 45, p. 1, doi. 10.4025/actasciagron.v45i1.61550
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- Publication type:
- Article
Computational intelligence to study the importance of characteristics in flood-irrigated rice.
- Published in:
- Acta Scientiarum: Agronomy, 2023, v. 45, p. 1, doi. 10.4025/actasciagron.v45i1.57209
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- Publication type:
- Article
Genetic progress over twenty-three years of irrigated rice breeding in southeastern Brazil.
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- Acta Scientiarum: Agronomy, 2021, v. 43, p. 1, doi. 10.4025/actasciagron.v43i1.45767
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- Publication type:
- Article
Self-organizing maps in the study of genetic diversity among irrigated rice genotypes.
- Published in:
- Acta Scientiarum: Agronomy, 2019, v. 41, p. 1, doi. 10.4025/actasciagron.v41i1.39803
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- Publication type:
- Article