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V. Sagae · SciRah

Researcher profile · Semantic Scholar

V. Sagae

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V. Sagae — researcher profile on SciRah

h-index: 4
Works: 16
Citations: 35

Most-cited papers

Forage potential of S3 corn progenies in topcrosses and selection of testers of different genetic bases
J. Rosa, M. V. Faria, W. L. Zaluski, Emanuele Gava +2 more
20209 citations Open access
Semantic Scholar
Trends and challenges in soybean genetic improvement: comparison of selection methods for productivity and grain quality
João Marcos Soares Ferreira, F. L. da Silva, D. Ferreira, V. Sagae
2025Euphytica5 citations
Semantic Scholar
Multivariate Adaptive Regression Splines Enhance Genomic Prediction of Non-Additive Traits
Maurício de Oliveira Celeri, W. G. da Costa, A. Nascimento, C. Azevedo +3 more
2024Agronomy5 citations Open access
Semantic Scholar
Yield related key traits in the selection of super sweetcorn hybrids
W. L. Zaluski, M. V. Faria, J. Rosa, R. Uhdre +5 more
2021Bragantia5 citations Open access
Semantic Scholar
Impact of environmental covariates summarization on predictive ability in genomic selection
V. Sagae, Moysés Nascimento, A. Nascimento, F. L. da Silva +1 more
2026The Plant Genome3 citations Open access
Semantic Scholar
Bayesian AMMI‐based indexes for genotype selection: Integrating novel stability measures for enhanced G × E inference
A. Nascimento, Moysés Nascimento, V. Sagae, Vidomar Destro +3 more
2025Crop science3 citations Open access
Semantic Scholar
Genomic Prediction of Root Traits via Aerial Traits in Soybean Using Canonical Variables
V. Sagae, Noé Mitterhofer Eiterer Ponce de Leon da Costa, M. Suela, Dalton de Oliveira Ferreira +4 more
2024International Journal of Plant Biology2 citations Open access
Semantic Scholar
Maize topcrosses for yield performance by additive main effects and multiplicative interaction analysis
J. Rosa, C. Scapim, M. V. Faria, R. Uhdre +2 more
2022Ciência Rural2 citations Open access
Semantic Scholar
Importance of the nutritional quality of the plant parts in the selection of topcross hybrids of maize for silage
Elida AP Paiva, M. Neumann, M. C. Mendes, Emanuele Gava +4 more
2025Scientia Agricola1 citations Open access
Semantic Scholar
Assisted genomic prediction models for soybean root traits using secondary aerial phenotypes
Moysés Nascimento, A. Nascimento, V. Sagae, F. L. da Silva +1 more
2025Euphytica1 citations
Semantic Scholar
Combining ability and genetic divergence in the selection of testers regarding grain yield and forage potencial in maize topcrosses
J. Rosa, M. V. Faria, W. L. Zaluski, R. Uhdre +2 more
2021Revista Ciência Agronômica1 citations Open access
Semantic Scholar
Multi-trait multi-environment genomic prediction strategies for Miscanthus sacchariflorus
S. Proma, Garcia-Abadillo Julian, V. Sagae, E. Sacks +26 more
2026bioRxiv0 citations Open access
Semantic Scholar
Bayesian AMMI-Based Simulation of Genotype × Environment Interactions
Heegun Lee, V. Sagae, J. García-Abadillo, F. Bussiman +3 more
2026bioRxiv0 citations Open access
Semantic Scholar
Classification-based genomic prediction for early identification of high-yielding and stable soybean genotypes
R. Marmo, A. Acuña, Cheng-Jun Wu, L. Florez‐Palacios +10 more
2026Frontiers in Plant Science0 citations Open access
Semantic Scholar
Selecting experimental super sweet corn hybrids based on selection index
W. L. Zaluski, M. V. Faria, J. Rosa, N. R. Chiquito +3 more
2021Horticultura Brasileira0 citations Open access
Semantic Scholar
Potencial forrageiro de progênies S3 de milho em topcrosses e seleção de testadores de diferentes bases genéticas
Jocimar Costa Rosa, M. V. Faria, Welton Luiz Zaluski, E. Gava +2 more
20200 citations
Semantic Scholar

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