Search
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001 | WKP|Q58338548 (VIAF cluster) (Authority/Source Record) | ||
003 | WKP | ||
005 | 20241121000222.0 | ||
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035 | ‡a (WKP)Q58338548 | ||
024 | ‡a 0000-0002-5840-0803 ‡2 orcid | ||
035 | ‡a (OCoLC)Q58338548 | ||
100 | 0 | ‡a Lorena González Pérez ‡c researcher, ORCID id # 0000-0002-5840-0803 ‡9 en | |
375 | ‡a 2 ‡2 iso5218 | ||
400 | 0 | ‡a Lorena González Pérez ‡c wetenschapper ‡9 nl | |
670 | ‡a Author's Application of unmanned aerial systems for high throughput phenotyping of large wheat breeding nurseries | ||
670 | ‡a Author's Canopy Temperature and Vegetation Indices from High-Throughput Phenotyping Improve Accuracy of Pedigree and Genomic Selection for Grain Yield in Wheat | ||
670 | ‡a Author's Genomic Bayesian functional regression models with interactions for predicting wheat grain yield using hyper-spectral image data | ||
670 | ‡a Author's Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat | ||
670 | ‡a Author's Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data | ||
909 | ‡a (orcid) 0000000258400803 ‡9 1 | ||
919 | ‡a genomicbayesianfunctionalregressionmodelswithinteractionsforpredictingwheatgrainyieldusinghyperspectralimagedata ‡A Genomic Bayesian functional regression models with interactions for predicting wheat grain yield using hyper-spectral image data ‡9 1 | ||
919 | ‡a hyperspectralreflectancederivedrelationshipmatricesforgenomicpredictionofgrainyieldinwheat ‡A Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat ‡9 1 | ||
919 | ‡a predictinggrainyieldusingcanopyhyperspectralreflectanceinwheatbreedingdata ‡A Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data ‡9 1 | ||
919 | ‡a applicationofunmannedaerialsystemsforhighthroughputphenotypingoflargewheatbreedingnurseries ‡A Application of unmanned aerial systems for high throughput phenotyping of large wheat breeding nurseries ‡9 1 | ||
919 | ‡a canopytemperatureandvegetationindicesfromhighthroughputphenotypingimproveaccuracyofpedigreeandgenomicselectionforgrainyieldinwheat ‡A Canopy Temperature and Vegetation Indices from High-Throughput Phenotyping Improve Accuracy of Pedigree and Genomic Selection for Grain Yield in Wheat ‡9 1 | ||
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