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Predictive models to estimate carbon stocks in agroforestry systems. Author(s): OLIVEIRA, S. R. de M. Abstract: This study aims to assess the carbon stock in a pasture area and fragment of forest in natural regeneration, given the importance of agroforestry systems in mitigating gas emissions which co... ... Repository: BDPA Publication year: 2021
Binding affinity prediction using a nonparametric regression model based on physicochemical and structural descriptors of the nano-environment for protein-ligand interactions. Author(s): YANO, I. H.; MAZONI, I.; NESHICH, G. We propose a new empirical scoring function for binding affinity prediction modeled based on physicochemical and structural descriptors that characterize the nano-environment that encompass both ligan... ... Repository: BDPA Publication year: 2016
Development and validation of a model based on vegetation indices for the prediction of sugarcane yield. Author(s): SPERANZA, E. A.; ANTUNES, J. F. G.; BARBOSA, L. A. F.; CANÇADO, G. M. de A. This study aimed to develop a predictive model for sugarcane production based on data extracted from aerial imagery obtained from drones or satellites, allowing the precise tracking of plant developme... ... Repository: BDPA Publication year: 2023
Mixed-effects height prediction model for Juniperus procera trees from a Dry Afromontane Forest in Ethiopia. Author(s): BRAZ, E. M.; MATTOS, P. P. de Tree height is a crucial variable in forestry science. In the current study, an accurate height prediction model for Juniperus procera Hochst. ex Endl. trees were developed, using a nonlinear mixed-ef... ... Repository: BDPA Publication year: 2024
Genome and environment based prediction models and methods of complex traits incorporating genotype × environment interaction. Author(s): BRESEGHELLO, F. Genomic-enabled prediction models are of paramount importance for the successful implementation of genomic selection (GS) based on breeding values. As opposed to animal breeding, plant breeding includ... ... Repository: BDPA Publication year: 2022
Confronting model predictions of carbon fluxes with measurements of Amazon forests subjected to experimental drought. Author(s): SOTTA, E. Considerable uncertainty surrounds the fate of Amazon rainforests in response to climate change. Here, carbon (C) flux predictions of five terrestrial biosphere models (Community Land Model version 3.... ... Repository: BDPA Publication year: 2013
Early prediction models for cassava root yield in different water regimes. Author(s): MORGANTE, C. V.; ANTONIO, R. P.; OLIVEIRA, E. J. de The development of cassava (Manihot esculenta Crantz) varieties with greater tolerance of water deficit depends on optimized phenotyping tools. The objective of this work was to develop early predicti... ... Repository: BDPA Publication year: 2019
Genome prediction accuracy of common bean via Bayesian models. Author(s): VIANELLO, R. P.; VALDISSER, P. A. M. R. We aimed to apply genomic information based on SNP (single nucleotide polymorphism) markers for the genetic evaluation of the traits ?stay-green? (SG), plant architecture (PA), grain aspect (GA) and g... ... Repository: BDPA Publication year: 2018
Evaluation of three models for predicting Venturia inaequalis ascospore release in Southern Brazil. Author(s): ALVES, S. A. M. Ascospores of Venturia inaequalis constitute the principal source of primary inoculum for epidemics of apple black spot (scab). Mathematical models that describe ascospore release have been developed... ... Repository: BDPA Publication year: 2013
Models and applications for risk assessment and prediction of Asian soybean rust epidemics. Asian rust of soybean [Glycine max (L.) Merril] is one of the most important fungal diseases of this crop worldwide. The recent introduction of Phakopsora pachyrhizi Syd. & P. Syd in the Americas repr... ... Repository: BDPA Publication year: 2006

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