Banca de QUALIFICAÇÃO: DAIANE BATISTA SILVA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
DISCENTE: DAIANE BATISTA SILVA
DATA: 16/06/2026
HORA: 10:00
LOCAL: DCS02
TÍTULO:

RETENÇÃO DE ÁGUA EM SOLOS TROPICAIS: INFLUÊNCIA DE ATRIBUTOS DO SOLO E PREDIÇÃO POR SENSORES PROXIMAIS

PALAVRAS-CHAVES:

Soil conservation; soil organic carbon; proximal sensors; water retention curve. 

PÁGINAS: 1
GRANDE ÁREA: Ciências Agrárias
ÁREA: Agronomia
SUBÁREA: Ciência do Solo
ESPECIALIDADE: Manejo e Conservação do Solo
RESUMO:

Soil water retention is an essential component of sustainable management of tropical soils, especially in agricultural regions subject to rainfall seasonality and water deficits. This dissertation studies water retention in tropical soils, focusing on the influence of soil physical and chemical attributes, as well as the prediction of hydraulic attributes using proximal sensors. The study is based on samples collected from agricultural areas in the Cerrado biome, covering different textural classes and collected at depths of 0–5 cm and 15–20 cm, with evaluations of soil structure, organic carbon, texture, elemental composition, and the soil water retention curve. The dissertation is composed of two articles, each with specific objectives: 1) To quantify the effects of soil structure and organic carbon on water retention in tropical soils, considering texture as a covariate. Specifically, this study aims to evaluate the effect of organic carbon removal on available water capacity, analyze the effect of soil structure disruption on water retention, relate texture and sand fractions to soil hydraulic parameters, and investigate the association between chemical elements obtained by pXRF and water retention. 2) To develop predictive models to estimate attributes related to water retention in tropical soils using proximal sensor data, with emphasis on pXRF, VIS-NIR, and data fusion. This article aims to compare the performance of isolated and combined sensors, evaluate model accuracy using calibration and validation metrics, and identify the most relevant elemental and spectral variables for predicting soil hydraulic attributes. Thus, this dissertation seeks to contribute to the understanding of the factors that control water retention in tropical soils and to the development of rapid, low-cost, and scalable methods for estimating soil hydraulic attributes, supporting conservation management and the sustainability of agricultural systems.

MEMBROS DA BANCA:
Interno - SERGIO HENRIQUE GODINHO SILVA (Membro)
Interno - SAMARA MARTINS BARBOSA - UFLA (Suplente)
Externo à Instituição - SALVADOR FRANCISCO ACUNA GUZMAN - UPRM (Suplente)
Interno - RENATA ANDRADE REIS (Membro)
Externo à Instituição - MILSON EVALDO SERAFIM - IFMT (Membro)
Presidente - JUNIOR CESAR AVANZI (Membro)