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Modeling enteric methane emission from beef cattle in Brazil: a proposed equation performed by principal component analysis and mixed modeling multiple regression. Author(s): MEDEIROS, S. R. de; BARIONI, L. G.; BERNDT, A.; FREUA, M. C.; ALBERTINI, T. Z.; COSTA JUNIOR, C.; FELTRIN, G. B. Brazil has the largest commercial beef cattle herd in the world but does not have its own model to predict methane (CH4 ) emission. The aim of this study was to create the first empirical enteric CH4... ... Repository: BDPA Publication year: 2014
Predicting bulk density in Brazilian soils for carbon stocks calculation: a comparative study of multiple linear regression and Random Forest models using continuous and categorical variables. Author(s): SANTOS, W. P. dos; VAZ, C. M. P.; MARTIN NETO, L.; ANSELMI, A.; TOMASELLA, J.; COSTA, F. de S.; ALBUQUERQUE, J. A.; LIER, Q. de J. van; GALBIERI, R.; PERINA, F. J. The present study aims to develop pedotransfer functions for estimating ?b using stepwise multiple linear regression applied to soil properties from available databases, which are considered suitable... ... Repository: BDPA Publication year: 2025
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
Statistical approaches in weed research: choosing wisely. Author(s): CONCENCO, G.; ANDRES, A.; SCHREIBER, F.; SCHERNER, A.; BEHENCK, J. P. Repository: BDPA Publication year: 2018
Water stress in modern upland rice cultivars: a multivariate study between physiological traits and yield. Author(s): QUILOANGO-CHIMARRO, C. A.; COELHO, R. D.; COSTA, J. de O.; GUNDIM, A. da S.; HEINEMANN, A. B. Water stress negatively affects upland rice production. The objective of this study was to identify physiological traits that could depict yield responses under water stress conditions. Three modern u... ... Repository: BDPA Publication year: 2023
Effect of pregnancy on the genetic evaluation of dairy cattle. Author(s): PEREIRA, R. J.; SANTANA JUNIOR, M. L.; BIGNARDI, A. B.; VERNEQUE, R. da S.; EL FARO, L.; ALBUQUERQUE, L. G. de We investigated the effect of stage of pregnancy on estimates of breeding values for milk yield and milk persistency in Gyr and Holstein dairy cattle in Brazil. Test-day milk yield records were analyz... ... Repository: BDPA Publication year: 2011
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
Genetic evaluation for persistency of lactation in Holstein cows using a random regression model. Author(s): COBUCI, J. A.; EUCLYDES, R. F.; COSTA, C. N.; TORRES, R. de A.; LOPES, P. S.; PEREIRA, C. S. A model for analyzing test day records including both fixed and random coefficients was applied to the genetic evaluation of first lactation data for Holstein cows. Data comprising 87045 test-day milk... ... Repository: BDPA Publication year: 2007
Flowering prediction for flood-irrigated rice in the Midwest and North regions of Brazil. Author(s): JUSTINO, L. F.; HONORIO FILHO, G. R.; MATTA, D. H. da; STONE, L. F.; HEINEMANN, A. B. This study aimed to analyze the influence of climatic and geographic variables on the flowering process of flood-irrigated rice in the Midwest and North regions of Brazil. Agronomic data from the bree... ... Repository: BDPA Publication year: 2024
Calibration of the maximum carboxylation velocity (Vcmax) using data mining techniques and ecophysiological data from the Brazilian Semiarid region, for use in Dynamic Global Vegetation Models. Author(s): REZENDE, L. F. C.; ARENQUE-MUSA, B. C.; MOURA, M. S. B. de; AIDAR, S. de T.; RANDOW, C. V.; MENEZES, R. S. C.; OMETTO, J. P. B. H. The semiarid region of northeastern Brazil, the Caatinga, is extremely important due to its biodiversity and endemism. Measurements of plant physiology are crucial to the calibration of Dynamic Global... ... Repository: BDPA Publication year: 2016

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