Banca de DEFESA: JONAS ELIAS CASTRO DA ROCHA

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
DISCENTE : JONAS ELIAS CASTRO DA ROCHA
DATA : 03/07/2020
HORA: 09:00
LOCAL: Plataforma Digital Google Meet
TÍTULO:

NUTRITIONAL STATUS AND FERTILIZATION IN Eucalyptus brassiana S.T. BLAKE × Eucalyptus grandis W. HILL EX MAIDEN IN THE SOUTHEAST PARANESE MESSORGION

PALAVRAS-CHAVES:

Biological maximum, nutrient compartmentation, reforestation, artificial neural networks, mineral fertilization.

PÁGINAS: 166
GRANDE ÁREA: Ciências Agrárias
ÁREA: Recursos Florestais e Engenharia Florestal
SUBÁREA: Manejo Florestal
RESUMO:

Plant mineral nutrition at adequate levels is critical to maintain vigorous growth and high yields. In this sense, new monitoring patterns have been established, such as the method of assessing nutritional status through leaf diagnosis of Kenworthy, DRIS and CND. In addition, it is believed that machine learning technology such as artificial neural nets (RNAs) can also provide robust analyzes that can assist in decision making regarding the level of fertilization that provides sustainability to managed planting. The Amazon region, more specifically in the southeast Paraense mesoregion, is considered a silvicultural frontier and, therefore, research that guides the theme under discussion is considered rare. Thus, the objective of the research was to evaluate the nutritional status and fertilization levels of a clonal planting of Eucalyptus brassiana S.T. Blake X Eucalyptus grandis W. Hill ex Maiden in the southeastern Pará mesoregion. For the nutritional status analysis, the Kenworthy, DRIS and CND methods were used. For this, 62 plots were selected, of which 33 were separated for the composition of the standards used as a nutritional reference. To define the biological maximum, 9 trees were cubed and divided into 3 diameter classes: 17 to 28.5 cm (Class I), 28.6 to 40.2 cm (Class II) and 40.3 to 52 cm (Class III). In the analysis with artificial neural networks were separated 60% of the database for training and 40% for validation. In which, 20 nets with three multilayer perceptron RNA configurations were trained. To test the biological maximum levels in the field, 6 plots of 10 x 12.5 meters each were systematically distributed. The treatments were allocated in a randomized block design with six treatments and four replications: T1 - 0% fertilization, T2 - 50% fertilization, T3 - 75% fertilization, T4 - 100% fertilization, T5 - 125 % fertilization and T6 - 150% fertilization respectively. Fertilizers were applied in two stages, one at 10 and one at 90 days after seedling planting, in which survival, growth diameter, crown diameter and total height were measured. It was found that the techniques used to assess nutritional status were similar. In the nutrient compartmentation it was observed that only the leaf contents are not sufficient to provide differences in the IMA biomass production, thus, these contents are not to be used as nutritional standards of the studied hybrid. However, by analyzing the nutritional status with RNAs, tree volume can be reliably estimated by nutrient contents allocated to tree compartments and leaf contents. The methodologies for the Eucalyptus nutritional status evaluation provided concordant results and can be reliably used under the study conditions. The level of fertilization that used the maximum biological was the one that generated the highest productivity, so it can be taken with a fertilizer program guide in the southeast paraense mesoregion.

MEMBROS DA BANCA:
Presidente - 388426 - FRANCISCO DE ASSIS OLIVEIRA
Externo ao Programa - 2874082 - GILSON SERGIO BASTOS DE MATOS
Externo ao Programa - 1509287 - LUIS DE SOUZA FREITAS
Externo à Instituição - IRACEMA MARIA CASTRO COIMBRA CORDEIRO - UFRA
Externo à Instituição - WALMER BRUNO ROCHA MARTINS - NENHUMA