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Genome-wide association study for morphological, physiological, and productive traits in Coffea arabica using structural equation models. Author(s): SUELA, M. M.; AZEVEDO, C. F.; NASCIMENTO, A. C. C.; MOMEN, M.; OLIVEIRA, A. C. B. de; CAIXETA, E. T.; MOROTA, G.; NASCIMENTO, M. Yield is one of the most important traits of arabica coffee. Plant breeders seek to maximize yield directly or indirectly, using other related traits. The standard multi-trait genome-wide association... ... Repository: BDPA Publication year: 2023
Binding affinity prediction using a nonparametric regression model based on physicochemical and structural descriptors of the nano-environment for protein-ligand interactions. Author(s): BORRO, L.; 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
Fitting of fixed regression curves with different residual variance structures for Nellore cattle growth modeling. Author(s): CAVALCANTE, D. H.; SOUSA JÚNIOR, S. C.; SILVA, L. P.; MALHADO, C. H. M.; MARTINS FILHO, R.; AZEVEDO, D. M. M. R.; CAMPELO, J. E. G. Different polynomial functions were tested for mean trajectory modeling with different residual variance structures. A total of 15,148 weight records of 3,115 Nellore Mocho cattle with ages between 1... ... Repository: BDPA Publication year: 2020
Modeling sugar cane yield with a process-based model from site to continental scale: uncertainties arising from model structure and parameter values. Author(s): VALADE, A.; CIAIS, P.; VUICHARD, N.; VIOVY, N.; CAUBEL, A.; HUTH, N.; MARIN, F. R.; MARTINÉ, J.-F. This study reveals the spatial and temporal patterns of uncertainty variability for a highly parameterized agro-LSM and calls for more systematic uncertainty analyses of such models. Repository: BDPA Publication year: 2014
Structural changes in Latosols of the Cerrado region: II - soil compressive behavior and modeling of additional compaction. Author(s): SEVERIANO, E. da C.; OLIVEIRA, G. C. de; DIAS JÚNIOR, M. de S.; COSTA, K. A. de P.; BENITES, V. de M.; FERREIRA FILHO, S. M. F. Currently in Brazil, as in other parts of the world, the concern is great with the increase of degraded agricultural soil, which is mostly related to the occurrence of soil compaction. Although soil t... ... Repository: BDPA Publication year: 2011
Structural analysis of a novel N-carbamoyl-D-amino acid amidohydrolase from a Brazilian Bradyrhizobium japonicum strain: In silico insights by molecular modelling, docking and molecular dynamics. Author(s): BELLINI, R. G.; CORONADO, M. A.; PASCHOAL, A. R.; REGO, T. G. do; HUNGRIA, M.; VASCONCELOS, A. T. R. de; NICOLAS, M. F. Repository: BDPA Publication year: 2019
Molecular modeling and structural analysis of the Myelin basic protein-Q65ZS4. Author(s): JARDINE, J. G.; NESHICH, G.; MAZONI, I.; MARTINS, D.; MARANGONI, S.; NOVELLO, J. C.; GATTAZ, W. F.; DIAS-NETO, E. Schizophrenia (SCZ) is a chronic, debilitating psychotic mental disorder that affects about 1 percent of the population in different countries. Scz is characterized by a series of negative and positiv... ... Repository: BDPA Publication year: 2007
Modeling covariance structures for genetic and non-genetic effectsin cowpea multi-environment trials. Author(s): ARAÚJO, M. dos S.; CHAVES, S. F. da S.; SILVA, K. J. D. e; DIAS, L. A. dos S.; ROCHA, M. de M. In cowpea breeding, multi-environment trials are conducted to select lines withhigh yield. The occurrence of genetic and/or statistical imbalance is common inthese experiments, in addition to the poss... ... Repository: BDPA Publication year: 2023
Modelling the long-term impacts of selective logging on genetic diversity and demographic structure of four tropical tree species in the Amazon forest. Author(s): SEBBENN, A. M.; DEGEN, B.; AZEVEDO, V. C. R.; SILVA, M. B.; LACERDA, A. E. B. de; CIAMPI, A. Y.; KANASHIRO, M.; CARNEIRO, F. da S.; THOMPSON, I.; LOVELESS, M. D. Repository: BDPA Publication year: 2008
Improving binding affinity prediction by using a rule-based model with physical-chemical and structural descriptors of the nano-environment for protein-ligand interactions. Author(s): BORRO, L. C.; SALIM, J. A.; MAZONI, I.; YANO, I.; JARDINE, J. G.; NESHICH, G. In order to improve binding affinity prediction, we developed a new scoring function, named STINGSF, derived from physical-chemical and structural features that describe the protein-ligand interaction... ... Repository: BDPA Publication year: 2015

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