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Author(s): RAMOS, Y. C.; STUCHI, E. S.; GIRARDI, E. A.; LEÃO, H. C.; GESTEIRA, A. da S.; PASSOS, O. S.; SOARES FILHO, W. dos S. The Brazilian and other citrus industries will likely require, among other technologies, the use of rootstocks that are suitable for higher planting densities with high production efficiency of high q... ... |
Author(s): SOARES FILHO, W. dos S.; RAMOS, Y. C.; SILVA, A. L. V.; FADEL, A. L.; STUCHI, E. S.; GIRARDI, E. A.; LEÃO, H. C.; GESTEIRA, A. da S.; PASSOS, O. S. The Brazilian citrus industry is requiring the use of rootstocks adapted for use in high planting densities with elevated production efficiency of high quality fruits, and tolerant/resistant to abioti... ... |
Author(s): FADEL, A. L.; MOURÃO FILHO, F. A. A.; STUCHI, E. S.; RAMOS, Y. C. Due to increasing demand for diversification of rootstocks in Brazilian citrus industry, a research work was installed in March 2007 to evaluate 40 different rootstocks for ?Valencia? sweet orange (Ci... ... |
Author(s): TOMASETTO, F.; STUCHI, E. S.; SILVA, S. R. da; MARTINS, A. B. G. Citrus variegated chlorosis (CVC), caused by the Xylella fastidiosa pv. pauca is one of the most important diseases that affect the Brazilian citrus industry. Sweet oranges are the most susceptible to... ... |
Author(s): FADEL, A. L.; MOURÃO FILHO, F. de A. A.; STUCHI, E. S.; WULFF, N. A.; COUTO, H. T. Z. Citrus sudden death (CSD) is a highly destructive disease and has caused the eradication of millions of trees in southern Brazil within the last 15 years. In spite of the exact cause of CSD has not be... ... |
Author(s): VITÓRIA, M. F.; SILVA, L. N.; MOREIRA, A. S.; STUCHI, E. S.; GIRARDI, E. A. ABSTRACT The performance of Valencia sweet orange grafted onto 16 rootstocks was evaluated over nine years under natural inoculation of huanglongbing (HLB) and rainfed cultivation in Bebedouro, northe... ... |
Author(s): OSCO, L. P.; RAMOS, A. P. M.; PINHEIRO, M. M. F.; MORIYA, E. A. S.; IMAI, N. N.; ESTRABIS, N.; IANCZYK, F.; ARAÚJO, F. F.; LIESENBERG, V.; JORGE, L. A. de C.; LI, J.; MA, L.; GONÇALVES, W. N.; MARCATO JUNIOR, J.; CRESTE, J. E. This paper presents a framework based on machine learning algorithms to predict nutrient content in leaf hyperspectral measurements. This is the first approach to evaluate macro- and micronutrient con... ... |
Author(s): PAULINO, S. E. P.; MOURÃO FILHO, F. de A. A.; MAIA, A. de H. N.; AVILÉS, T. E. C.; DOURADO NETO, D. The development of models that allow forecasting yield tendencies is important to all sectors of the citrus industry. This work evaluated the influence of meteorological variables in different phases... ... |
Author(s): KIRINUS, M. B. M.; BARRETO, P. S.; BARRETO, C. F.; MALGARIM, M. B.; SOARES FILHO, W. S.; OLIVEIRA, R. P. de
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