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Comparison of dimensionality reduction methods to predict genomic breeding values for carcass traits in pigs
(Genetics and Molecular Research, 2017)
Partial least squares enhance multi-trait genomic prediction of potato cultivars in new environments
(Nature Publishing Group, 2023)
Use of hyperspectral image data outperforms vegetation indices in prediction of maize yield
(Crop Science Society of America, 2017-09)
Hyperspectral cameras can provide reflectance data at hundreds of wavelengths. This information can be used to derive vegetation indices (VIs) that are correlated with agronomic and physiological traits. However, the data ...
Métodos de redução de dimensionalidade aplicados na seleção genômica para características de carcaça em suínosDimensionality reduction methods applied to genomic selection for carcass traits in pigs
(Universidade Federal de ViçosaBREstatística Aplicada e BiometriaMestrado em Estatística Aplicada e BiometriaUFV, 2015)
Use of hyperspectral image data outperforms vegetation indices in prediction of maize yield
(Crop Science Society of America (CSSA), 2018)
Chemical Markers to Distinguish the Homo- and Heterozygous Bitter Genotype in Sweet Almond Kernels
(Multidisciplinary Digital Publishing Institute, 2020-06)
Bitterness in almonds is controlled by a single gene (Sk dominant for sweet kernel, sk recessive for bitter kernel) and the proportions of the offspring genotypes (SkSk, Sksk, sksk) depend on the progenitors' genotype. ...
Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data
(BioMed Central, 2017)
Evaluación de espectroscopía FTIR-ATR, colorimetría triestímulo y análisis de imagen como herramientas para la determinación de carotenoides en ahuyama
(Bogotá - Ciencias Agrarias - Maestría en Ciencia y Tecnología de AlimentosUniversidad Nacional de Colombia - Sede Bogotá, 2020-08-26)
This thesis presents prediction models of total and specific carotenoid compounds in squash/pumpkin samples made from the combination of FTIR-ATR spectroscopy, colorimetry and image analysis with multivariate statistical ...