Yassue, Rafael Massahiro 
; Fritsche Neto, Roberto (Orientador)
Subjects: ANÁLISE ESPECTRAL, APRENDIZADO COMPUTACIONAL, BACTÉRIAS, ESTIMULANTES DE CRESCIMENTO VEGETAL, GENÔMICA, MILHO, POLIMORFISMO, SEQUENCIAMENTO GENÉTICO
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YASSUE, Rafael Massahiro. From pixel to knowledge: how high-throughput phenotyping helps to dissect the genetic architecture and improves predictive ability in maize under inoculation with plant growth-promoting bacteria. 2022. Tese (Doutorado) – Universidade de São Paulo, Piracicaba, 2022. Disponível em: https://www.teses.usp.br/teses/disponiveis/11/11137/tde-07122022-122617/. Acesso em: 14 nov. 2024.APA
Yassue, R. M. (2022). From pixel to knowledge: how high-throughput phenotyping helps to dissect the genetic architecture and improves predictive ability in maize under inoculation with plant growth-promoting bacteria (Tese (Doutorado). Universidade de São Paulo, Piracicaba. Recuperado de https://www.teses.usp.br/teses/disponiveis/11/11137/tde-07122022-122617/NLM
Yassue RM. From pixel to knowledge: how high-throughput phenotyping helps to dissect the genetic architecture and improves predictive ability in maize under inoculation with plant growth-promoting bacteria [Internet]. 2022 ;[citado 2024 nov. 14 ] Available from: https://www.teses.usp.br/teses/disponiveis/11/11137/tde-07122022-122617/Vancouver
Yassue RM. From pixel to knowledge: how high-throughput phenotyping helps to dissect the genetic architecture and improves predictive ability in maize under inoculation with plant growth-promoting bacteria [Internet]. 2022 ;[citado 2024 nov. 14 ] Available from: https://www.teses.usp.br/teses/disponiveis/11/11137/tde-07122022-122617/
