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    http://www.alice.cnptia.embrapa.br/alice/handle/doc/1174581Registro completo de metadados
| Campo DC | Valor | Idioma | 
|---|---|---|
| dc.contributor.author | PEREIRA, H. | |
| dc.contributor.author | NONATO, J. | |
| dc.contributor.author | MOLTOCARO, R. C. R. | |
| dc.contributor.author | GERHARDT, I. R. | |
| dc.contributor.author | DANTE, R. A. | |
| dc.contributor.author | ARRUDA, P. | |
| dc.contributor.author | YASSITEPE, J. E. de C. T. | |
| dc.date.accessioned | 2025-04-07T15:47:44Z | - | 
| dc.date.available | 2025-04-07T15:47:44Z | - | 
| dc.date.created | 2025-04-07 | |
| dc.date.issued | 2025 | |
| dc.identifier.citation | In: ANNUAL MAIZE GENETICS MEETING, 67., 2025, St. Louis. Program and abstracts. Beltsville: USDA, 2025. | |
| dc.identifier.uri | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1174581 | - | 
| dc.description | Abstract: Climate change has increased the need for drought-resilient crops, yet traditional assessment methods are labor-intensive. This study utilized an unmanned aerial system (UAS) with RGB and multispectral sensors to monitor transgenic maize hybrids under irrigated and drought conditions. | |
| dc.language.iso | eng | |
| dc.rights | openAccess | |
| dc.title | Temporal field-based phenomics for evaluating transgenic maize under drought stress. | |
| dc.type | Resumo em anais e proceedings | |
| dc.subject.thesagro | Milho | |
| dc.subject.thesagro | Planta Transgênica | |
| dc.subject.thesagro | Seca | |
| dc.subject.nalthesaurus | Corn | |
| dc.subject.nalthesaurus | Transgenic plants | |
| dc.subject.nalthesaurus | Drought | |
| dc.subject.nalthesaurus | Plant stress | |
| dc.format.extent2 | p. 228. | |
| riaa.ainfo.id | 1174581 | |
| riaa.ainfo.lastupdate | 2025-04-07 | |
| dc.contributor.institution | HELCIO PEREIRA; JULIANA NONATO, UNIVERSIDADE ESTADUAL DE CAMPINAS; RAFAELA C RANGNI MOLTOCARO DUARTE, CNPMA; ISABEL RODRIGUES GERHARDT, CNPTIA; RICARDO AUGUSTO DANTE, CNPTIA; PAULO ARRUDA; JULIANA ERIKA DE CARVALHO TEIXEIRA, CNPTIA. | |
| Aparece nas coleções: | Resumo em anais de congresso (CNPMA)![]() ![]()  | |
Arquivos associados a este item:
| Arquivo | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| Duarte-Temporal-field-based-phenomics-2025.pdf | 101.75 kB | Adobe PDF | ![]() Visualizar/Abrir  | 
                  
                      
                    
                      







