Index A Accuracy, 19 Active sensors, 89 Aerial platform, 7, 10 Analysis of deviance, 39 Augmented block design, 19 B Bayesian analyses, 17 Bias, 19 Biological replication, 38 Blimps, 92 Breeding, 2, 7–9 Breeding program, 16 C Carbon isotope, 7–9 cDNA, 37 Chlorophyll fluorescence images, 113 Coefficient of variation, 27 Correlations, 30 Covariate, 23 Crop breeding, 2, 6 D Designs, 19 DNA microarrays, 35 E Effective size, 28 Electrical resistivity tomography, 87 Environmental heterogeneity, 24 Epigenetic variation, 44 Experimental designs, 17 F Families, 26 Field-based phenotyping systems, 85 Field experiments, 19 Field phenotyping, 2, 3, 6, 11 Field spectroscopy, 88 Field variation, 9, 10 Full-sib families, 28 G Genetic breeding, 102 Genetic expression, 36 Genetic gain, 26, 84 Genome-wide selection, 33 Genomic selection, 84 Genotype, 102 Genotype × environment interaction, 26, 84 Ground-based phenotyping platforms, 91 Ground penetrating radar, 94 Guidelines, 88 GWAS, 35 H Half-sib families, 29 Heritability, 26, 85 High-throughput, 16 High-throughput phenotyping (HTP), 2, 6, 85 High-throughput technology, 126 Homogeneity, 26 Hyperspectral, 5 Hyperspectral images, 109 I Image processing, 104 Images in the visible spectrum, 105 3D images root system, 61 Incomplete block design, 19 Independent components, 35 Infrared thermometry, 90 In situ evaluation root system, 51, 57, 61, 64 Ionome, 77, 78 © Springer International Publishing Switzerland 2015 R. Fritsche-Neto and A. Borém (eds.), Phenomics, DOI 10.1007/978-3-319-13677-6 141 142 L Lancaster Hawkeye Mark II, 93 Large-scale phenotyping, 114 Leaf area density (LAD), 87 Light detection and ranging (LIDAR), 89, 87 Local control, 18 Loop design, 37 M Magnetic resonance imaging, 72 Maize, 3, 6–8, 11 Maize seed, 68, 74, 75 Marker-assisted selection (MAS), 84 Mass spectrometry, 126, 131 Maximum likelihood, 41 Mean squared error, 19 Metabolome, 76, 78 Metabolomics, 127, 133, 134 Microcomputed tomography, 71 Mixed models, 17 Model Log2(y), 39 Multiple sites, 29 Multispectral cameras, 4 N Near-infrared, 3–5, 9 Near-infrared spectroscopy (NIRS), 3–6, 8, 71, 90 Negative binomial, 41 Nondestructive methods, 57, 64 Normalization methods, 39 Nuclear magnetic resonance, 71 Number of replicates, 25 O Octane multirotor system, 93 Optical imaging, 69, 70 P Passive sensors, 89 Phenocopter, 92 Phenomobiles, 91, 92 Phenotype, 102 Phenotyping, 84, 85 Plant breeding, 49–51, 55 Plant diseases resistance, 104 Plot size, 26 Precision, 19 Principal components, 43 Proteome, 75, 78 Proteomics, 42, 126–128, 130–132 Index Q QTL analysis and MAS, 34 R Radar, 89 Randomization, 18 Randomized complete block design, 19 Reflectance, 104 Regression with dimensional reduction, 35 Remote-sensing, 3–6, 9, 89, 90 Replication, 18 RGB cameras, 6 RNA-seq, 36 Root phenotyping platforms, 94 Roots, 2, 11 S S1 family, 29 Sample size, 26 ScanalyzerField, 95 Selection, 84 Sensor, 88, 89 Single-feature polymorphisms, 40 Small unmanned helicopters, 92 SmartCrop®, 96 Solarimeter, 88, 89 Spatial variability, 9, 10 Spatial variables, 24 Spectroscopy, 88 Stable isotopes, 7, 9 T Temporal dependency, 42 Thermal cameras, 6 Thermal imaging, 90 Thermographic images, 111 Tomography root system, 61, 63 Transcriptome, 35, 74, 75, 78 U Unmanned aerial platforms, 92 Unmanned polycopters, 92 V Visible-Near Infra-red (VIS-NIR), 90 W Wheat, 7
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