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Genome prediction accuracy of common bean via Bayesian models. 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... ... Repositório: BDPA Ano de publicação: 2018
Classifying multiyear agricultural land use data from Mato Grosso using time-series MODIS vegetation index data. MODIS 250-m NDVI and EVI datasets are now regularly used to classify regional-scale agricultural land-use practices in many different regions of the globe, especially in the state of Mato Grosso, Braz... ... Repositório: BDPA Ano de publicação: 2013
New accuracy estimators for genomic selection with application in a cassava (Manihot esculenta) breeding program. ABSTRACT. Genomic selection is the main force driving applied breeding programs and accuracy is the main measure for evaluating its efficiency. The traditional estimator (TE) of experimental accuracy... ... Repositório: BDPA Ano de publicação: 2016
Genomic wide-selection for tick resistance in Hereford and Braford cattle via reaction norm model. The objective of this study was to compare a conventional genomic model (GBLUP) and its extension to a linear reaction norm model (GLRNM) specifying genotype by environment interaction (G*E) for tick... ... Repositório: BDPA Ano de publicação: 2014
Population structure correction for genomic selection through eigenvector covariates. We proposed a population structure correction for genome-wide selection based on covariance analysis via eigenvector (EVG) decomposition. The agreement between the predicted and true breeding values w... ... Repositório: BDPA Ano de publicação: 2017
Genomic selection for tick resistance in Braford and Hereford cattle using single-step methodology. The Rhipicephalus microplus tick is one of the main sources of losses in tropical cattle production, causing decreased performance, hide devaluation, and increased costs with treatments and transmissi... ... Repositório: BDPA Ano de publicação: 2012
Laser-induced breakdown spectroscopy associated with the design of experiments and machine learning for discrimination of Brachiaria brizantha seed vigor. Laser-induced breakdown spectroscopy (LIBS) associated with machine learning algorithms (ML) was used to evaluate the Brachiaria seed physiological quality by discriminating the high and low vigor see... ... Repositório: BDPA Ano de publicação: 2022
Parameterization and evaluation of predictions of DSSAT/CANEGRO for Brazilian sugarcane. The DSSAT/CANEGRO model was parameterized and its predictions evaluated using data from five sugarcane experiments conducted in Southern Brazil. Some parameters whose values were either directly measu... ... Repositório: BDPA Ano de publicação: 2011
Flowering prediction for flood-irrigated rice in the Midwest and North regions of Brazil. 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... ... Repositório: BDPA Ano de publicação: 2024
Cassava yield traits predicted by genomic selection methods. Genomic selection (GS) has been used to optimize genetic gains when phenotypic selection is considered costly and difficult to measure. The objective of this work was to evaluate the efficiency and co... ... Repositório: BDPA Ano de publicação: 2019

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