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Prediction statistical model for soil organic carbon mapping in crop areas using the Landsat/OLI sensor. 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
Use of statistical models to determine the optimal concentration of metabolizable energy for growth performance of broiler chickens. Abstract: The formulation of diets that adequately meet energy requirements in the different phases of broiler chicken production is of the utmost importance. The objective of this study was to determ... ... Repository: BDPA Publication year: 2023
Accurate genomic prediction of Coffea canephora in multiple environments using whole-genome statistical models. Genomic selection has been proposed as the standard method to predict breeding values in animal and plant breeding. Although some crops have benefited from this methodology, studies in Coffea are stil... ... Repository: BDPA Publication year: 2018
Factors driving the biogeochemical budget of the Amazon River and its statistical modelling. Repository: BDPA Publication year: 2011
A spatial statistics approach to land use cover change modeling. Repository: BDPA Publication year: 2010
Modeling the correlation and the cause-and-effect relationships between morphological traits and vegetation indices on elephant grass clones via spatial statistics. Repository: BDPA Publication year: 2021
Evaluation of statistical and geostatistical models of difgital soil properties mapping in tropical mountain regions. As propriedades dos solos têm grande impacto sobre aspectos econômicos e ambientais da produção agropecuária. As relações quantitativas entre as propriedades dos solos e os fatores que condicionam sua... ... Repository: BDPA Publication year: 2014
Influence of processing parameters on the morphology of polyaniline/poly(lactic acid) electrospun fibers described by statistical modeling. Repository: BDPA Publication year: 2008
Linear, generalized, hierarchical, bayesian and random regression mixed models in genetics/genomics in plant breeding. 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
Regularized quantile regression applied to genome-enabled prediction of quantitative traits. Genomic selection (GS) is a variant of marker-assisted selection, in which genetic markers covering the whole genome predict individual genetic merits for breeding. GS increases the accuracy of breedi... ... Repository: BDPA Publication year: 2017

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