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Resultado 11-20 de 142.
Ano de publicaçãoTítuloAutor(es)
2020Sunflower subjected to boron doses in the semi-arid from Northern Minas Gerais, BrazilLEANDRO, R. I.; MENEZES, C. W. G. de; GOMES FILHO, A.; GOMES, P. L.; PACHECO, D. D.; CARVALHO, C. G. P.
2020Optimum environment number for the national sunflower trials network.MATTA, L. B.; CRUZ, C. D.; SANTOS, I. G.; CARVALHO, C. G. P.; BORBA FILHO, A. B.; ALVES, A. D.
2020Physiological potential of soybean industrially treated with different spray volumes and dry powder.ABATI, J.; BRZEZINSKI, C. R.; ZUCARELI, C.; WERNER, F.; HENNING, A. A.; HENNING, F. A.
2021Microtiter method to monitor Corynespora cassiicola and sensitivity of thepathogen to carbendazim, prothioconazole and pyraclostrobin.XAVIER, S. A.; MELLO, F. E. de; SILVA, H. P. da; CANTERI, M. G.; KOGA, L. J.; LOPES, I. de O. N.; GODOY, C. V.
2020Physiological quality of soybean seeds submitted to chemical treatment and storage times.BRZEZINSKI, C. R.; ABATI, J.; WERNER, F.; HENNING, F. A.; HENNING, A. A.; ZUCARELI, C.
2021Transcriptome analysis using RNA-Seq from experiments with and without biological replicates: a review.MOLINARI, M. D. C.; FUGANTI-PAGLIARINI,; MENDONÇA, J. A.; BARBOSA, D. D.; MARIN, D. R.; MERTZ-HENNING, L. M.; NEPOMUCENO, A. L.
2020A critical-point yield model to appraise the damage caused to soybean by white-mold.REIS, E. M.; ZANATTA, M.; JULIATTI, F. C.; CAMPOS, H. D.; SILVA, L. H. C. P.; MEYER, M. C.; NUNES JUNIOR, J.; PIMENTA, C. B.; CASSETARI NETO, D.; MACHADO, A. Q.; UTIAMADA, C. M.
2021Classification of soybean genotypes assessed under different water availability and at different phenological stages using leaf-based hyperspectral reflectance.CRUSIOL, L. G. T.; NANNI, M. R.; FURLANETTO, R. H.; SIBALDELLI, R. N. R.; CEZAR, E.; SUN, L.; FOLONI, J. S. S.; MERTZ-HENNING, L. M.; NEPOMUCENO, A. L.; NEUMAIER, N.; FARIAS, J. R. B.
2021Microsphere stem blockage as a screen for nitrogen-fixation drought tolerance in soybean.PRADHAN, D.; BERTIN, D.; SINCLAIR, T. R.; NOGUEIRA, M. A.; LIVINGSTON, D.; CARTER, T.
2023Using brainwave patterns recorded from plant pathology experts to increase the reliability of ai-based plant disease recognition system.MEIR, Y.; BARBEDO, J. G. A.; KEREN, O.; GODOY, C. V.; AMEDI, N.; SHALOM, Y.; GEVA, A. B.
Resultado 11-20 de 142.

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