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Estimating Cotton Yield in the Brazilian Cerrado Using Linear Regression Models from MODIS Vegetation Index Time Series. Author(s): SIQUEIRA, D. A. B.; VAZ, C. M. P.; SILVA, F. S. da; FERREIRA, E. J.; SPERANZA, E. A.; FRANCHINI, J. C.; GALBIERI, R.; BELOT, J. L.; SOUZA, M. de; PERINA, F. J.; CHAGAS, S. das Abstract: Satellite remote sensing data expedite crop yield estimation, offering valuable insights for farmers’ decision making. Recent forecasting methods, particularly those utilizing machine learni... ... Repository: BDPA Publication year: 2024
Linear, generalized, hierarchical, bayesian and random regression mixed models in genetics/genomics in plant breeding. Author(s): RESENDE, M. D. V. de; ALVES, R. S. This paper presents the state of the art of the statistical modelling as applied to plant breeding. Classes of inference, statistical models, estimation methods and model selection are emphasized in a... ... Repository: BDPA Publication year: 2020
Zero-inflated Poisson regression models for QTL mapping applied to tick-resistance in a Gyr x Holstein F2 population. Author(s): SILVA, F. F.; TUNIN, K. P.; ROSA, G. J. M.; SILVA, M. V. G. B.; AZEVEDO, A. L. S.; VERNEQUE, R. da S.; MACHADO, M. A.; PACKER, I. U. Nowadays, an important and interesting alternative in the control of tick-infestation in cattle is to select resistant animals, and identify the respective quantitative trait loci (QTLs) and DNA marke... ... Repository: BDPA Publication year: 2011
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
Modelo matemático para estimativa da temperatura média diária do ar no Estado de Goiás. Author(s): ANTONINI, J. C. dos A.; SILVA, E. M.; OLIVEIRA, L. F. C. de; SANO, E. E. O objetivo deste trabalho foi desenvolver um modelo matemático de estimativa da temperatura média diária do ar no Estado de Goiás, que considera simultaneamente as variações espacial e temporal. O mod... ... Repository: BDPA Publication year: 2009
Modelos empíricos para estimar o acúmulo de matéria seca de capim-marandu com variáveis agrometeorológicas. Author(s): CRUZ, P. G.; SANTOS, P. M.; PEZZOPANE, J. R. M.; OLIVEIRA, P. P. A.; ARAUJO, L. C. O objetivo deste estudo foi testar modelos empíricos de regressão linear, para a predição do acúmulo de matéria seca (TAMS) de Urochloa brizantha cv. Marandu, em função de variáveis agrometeorológicas... ... Repository: BDPA Publication year: 2011
Heterogeneidade da relação entre produtividade da soja e severidade da ferrugem asiática: uma análise exploratória. Author(s): MAIA, A. de H. N.; DEL PONTE, E. M.; GODOY, C. V. This work aimed to conduct an exploratory, prior to meta-analysis, assessment of the heterogeneity of the linear relationship between soybean yield (Y) and the severity (X) of a foliar fungal disease... ... Repository: BDPA Publication year: 2011
Modeling forest aboveground carbon density in the Brazilian Amazon with integration of MODIS and Airborne LiDAR data. Author(s): JIANG, X.; LI, G.; LU, D.; MORAN, E.; BATISTELLA, M. Abstract: Timely updates of carbon stock distribution are needed to better understand the impacts of deforestation and degradation on forest carbon stock dynamics. This research aimed to explore an ap... ... Repository: BDPA Publication year: 2020
Minimum period to assess the potential of germination of coffee seeds. Author(s): GUIMARÃES, G. C.; ROSA, S. D. V. F. da; COELHO, L. F. S.; VEIGA, A. D.; CLEMENTE, A. da C. S. In recent research, early stages of coffee seedling development were identified, after radicle protrusion, in which all the essential parts of the seedling can be assessed to demonstrate the potential... ... Repository: BDPA Publication year: 2013
Prediction statistical model for soil organic carbon mapping in crop areas using the Landsat/OLI sensor. Author(s): PADILHA, M. C. C.; VICENTE, L. E.; DEMATTÊ, J. A. M.; LOEBMANN, D. G. dos S. W.; URBINA SALAZAR, D.; KOGA-VICENTE, A.; ARAUJO, L. S. de; MANZATTO, C. V. Abstract: The quantification of soil organic carbon (SOC) is essential to agriculture and sustainable use of the land. However, there are difficulties to estimate it in large areas due to high cost of... ... Repository: BDPA Publication year: 2019

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