VIAF

Virtual International Authority File

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Leader     00000nz a2200037n 45 0
001     WKP|Q58338548  (VIAF cluster)  (Authority/Source Record)
003     WKP
005     20241121000222.0
008     241121nneanz||abbn n and d
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
946 ‎‡a  a‏ ‎‡9  1‏
996 ‎‡2  BNE|XX6279650
996 ‎‡2  BNE|XX6492253
996 ‎‡2  BNCHL|10000000000000000833393
996 ‎‡2  ISNI|0000000062844605
996 ‎‡2  ISNI|0000000497733293
996 ‎‡2  CAOONL|ncf10611741
996 ‎‡2  NTA|344761762
996 ‎‡2  LC|ns2012005169
996 ‎‡2  BNCHL|10000000000000000290180
996 ‎‡2  BNE|XX5465725
996 ‎‡2  BNC|981058616633906706
996 ‎‡2  BNE|XX1512490
996 ‎‡2  ISNI|0000000073245763
996 ‎‡2  RERO|A022466075
996 ‎‡2  DNB|1022413503
996 ‎‡2  ISNI|0000000032029562
996 ‎‡2  SUDOC|127273166
996 ‎‡2  NLR|RU NLR AUTH 770237034
996 ‎‡2  LC|no2021040340
996 ‎‡2  ISNI|0000000403638341
996 ‎‡2  NII|DA19855172
996 ‎‡2  LC|no2016139812
996 ‎‡2  ISNI|0000000394651535
996 ‎‡2  LC|no2024016824
996 ‎‡2  LC|no2020033286
996 ‎‡2  LC|no2014075652
996 ‎‡2  BIBSYS|14033130
996 ‎‡2  SUDOC|164771271
996 ‎‡2  ISNI|0000000434675495
996 ‎‡2  SUDOC|20062069X
996 ‎‡2  DNB|1327522802
996 ‎‡2  BNCHL|10000000000000000283087
996 ‎‡2  ISNI|0000000370872966
996 ‎‡2  LC|no2021061899
996 ‎‡2  BNCHL|10000000000000000865939
996 ‎‡2  LC|n 96007564
996 ‎‡2  BNF|16673721
996 ‎‡2  BNE|XX4439690
996 ‎‡2  SUDOC|259809934
996 ‎‡2  LC|no2021136755
996 ‎‡2  LC|no2009177109
996 ‎‡2  LC|no2009092929
996 ‎‡2  LC|no2012132133
997 ‎‡a  0 0 lived 0 0‏ ‎‡9  1‏