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1. Full Text Genomic-enabled prediction with classification algorithms
by Ornella, L and Pérez, P and Tapia, E and González-Camacho, J.M and Burgueño, J and Zhang, X and Singh, S and Vicente, F.S and Bonnett, D and Dreisigacker, S and Singh, R and Long, N and Crossa, J
Heredity, ISSN 0018-067X, 2014, Volume 112, Issue 6, pp. 616 - 626
genomic selection | wheat | support vector machines | maize | Environmental Sciences & Ecology | Ecology | Genetics & Heredity | Life Sciences & Biomedicine | Evolutionary Biology | Science & Technology | Triticum - genetics | Regression Analysis | Zea mays - genetics | Algorithms | Datasets as Topic | Quantitative Trait, Heritable | Selection, Genetic | Environment | Models, Genetic | Genomics - methods | Gene-Environment Interaction | Corn | Genetic aspects | Research | Natural selection | Genomics | Grain | Classification | Index Medicus | Original
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2. Full Text Surface feature based classification of plant organs from 3D laserscanned point clouds for plant phenotyping
by Paulus, Stefan and Dupuis, Jan and Mahlein, Anne-Katrin and Kuhlmann, Heiner
BMC bioinformatics, ISSN 1471-2105, 07/2013, Volume 14, Issue 1, pp. 238 - 238
High throughput | 3D-laserscanning | Automatic classification | Surface feature histogram | Grapevine | Plant phenotyping | Wheat | Biochemistry & Molecular Biology | Life Sciences & Biomedicine | Biotechnology & Applied Microbiology | Biochemical Research Methods | Science & Technology | Mathematical & Computational Biology | Phenotype | Plant Stems - classification | Lasers | Triticum - anatomy & histology | Imaging, Three-Dimensional - methods | Plant Structures - classification | Plant Structures - anatomy & histology | Plant Leaves - classification | Plants | Analysis | Semiconductor industry | Index Medicus | Parametrization | Automated | Classification | Ear | Organs | Plants (organisms) | Three dimensional models
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3. Full Text Computer vision‐based method for classification of wheat grains using artificial neural network
by Sabanci, Kadir and Kayabasi, Ahmet and Toktas, Abdurrahim
Journal of the science of food and agriculture, ISSN 0022-5142, 06/2017, Volume 97, Issue 8, pp. 2588 - 2593
image processing | multilayer perceptron | artificial neural network (ANN) | wheat grains | classification | Physical Sciences | Chemistry | Life Sciences & Biomedicine | Chemistry, Applied | Food Science & Technology | Agriculture, Multidisciplinary | Agriculture | Science & Technology | Algorithms | Seeds - chemistry | Image Processing, Computer-Assisted - methods | Triticum - chemistry | Seeds - classification | Neural Networks (Computer) | Triticum - classification | Computer vision | Image processing | Neural networks | Vision | Grain | Classification | Artificial neural networks | Multilayer perceptrons | Food science | Wheat | Index Medicus
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4. Full Text Wheat classification according to its origin by an implemented volatile organic compounds analysis
by De Flaviis, Riccardo and Sacchetti, Giampiero and Mastrocola, Dino
Food chemistry, ISSN 0308-8146, 03/2021, Volume 341, Issue Pt 1, pp. 128217 - 128217
Volatile organic compounds | GC–MS | Wheat species | SPME | Pedoclimatic conditions | Food Analysis | Gas Chromatography-Mass Spectrometry | Solid Phase Microextraction | Least-Squares Analysis | Volatile Organic Compounds - analysis | Volatile Organic Compounds - isolation & purification | Triticum - chemistry | Volatile Organic Compounds - chemistry | Principal Component Analysis | Triticum - classification | Index Medicus
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5. Full Text Multi-block classification of Italian semolina based on Near Infrared Spectroscopy (NIR) analysis and alveographic indices
by Firmani, Patrizia and Nardecchia, Alessandro and Nocente, Francesca and Gazza, Laura and Marini, Federico and Biancolillo, Alessandra
Food chemistry, ISSN 0308-8146, 03/2020, Volume 309, pp. 125677 - 125677
Triticum durum semolina | Durum wheat | Alveographic indices | SO-PLS | Classification | Multi-block | LDA | Near Infrared Spectroscopy (NIR) | Physical Sciences | Chemistry | Life Sciences & Biomedicine | Chemistry, Applied | Nutrition & Dietetics | Food Science & Technology | Science & Technology | Flour - analysis | Spectroscopy, Near-Infrared | Food Analysis - methods | Least-Squares Analysis | Italy | Triticum - chemistry | Discriminant Analysis | Index Medicus
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6. Full Text Pathotype, Resistance Classification, and Seed-Coating Control of Heterodera avenae and H. filipjevi in the North China Plain
by Cui, Jiangkuan and Jiao, Yongqing and Zhou, Bo and Ren, Haohao and Li, Hao and Liu, Shiming and Jiang, Shijun and Meng, Haoguang and Li, Minmin and Dababat, Abdelfattah Amer and Peng, Deliang
Plant disease, ISSN 0191-2917, 12/2020, Volume 104, Issue 12, pp. 3230 - 3238
cereal cyst nematode | wheat resistance | pathotype Ha91 | pathotype West | seed coating | Triticum | Edible Grain | Animals | Hordeum | Tylenchoidea | China | Index Medicus
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7. Full Text Classification and expression diversification of wheat dehydrin genes
by Wang, Yuezhi and Xu, Haibin and Zhu, Huilan and Tao, Ye and Zhang, Guangxiang and Zhang, Lixia and Zhang, Caiqin and Zhang, Zhengzhi and Ma, Zhengqiang
Plant science (Limerick), ISSN 0168-9452, 01/2014, Volume 214, pp. 113 - 120
Dehydrin | Cereal | Gene duplication | Abiotic stress | Wheat | Expression diversification | Biochemistry & Molecular Biology | Life Sciences & Biomedicine | Plant Sciences | Science & Technology | Plant Shoots - growth & development | Multigene Family | Sodium Chloride - pharmacology | Plant Roots - genetics | Seedlings - genetics | Triticum - growth & development | Gene Expression Profiling | Phylogeny | Seedlings - growth & development | Genetic Variation | Plant Proteins - classification | Seeds - growth & development | Droughts | Plant Shoots - genetics | Plant Roots - growth & development | Expressed Sequence Tags | Cold Temperature | Seeds - genetics | Gene Expression Regulation, Developmental - drug effects | Reverse Transcriptase Polymerase Chain Reaction | Flowers - growth & development | Triticum - genetics | Abscisic Acid - pharmacology | Plant Proteins - genetics | Gene Expression Regulation, Plant - drug effects | Plant Leaves - genetics | Plant Leaves - growth & development | Flowers - genetics | Plant Growth Regulators - pharmacology | Gene expression | Analysis | Genes | Genomics | Index Medicus
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8. Full Text Classification of spelt cultivars based on differences in storage protein compositions from wheat
by Koenig, Annette and Konitzer, Katharina and Wieser, Herbert and Koehler, Peter
Food chemistry, ISSN 0308-8146, 02/2015, Volume 168, pp. 176 - 182
Gliadins | Wheat crossbreed | Protein composition | Spelt classification | Glutenins | Physical Sciences | Chemistry | Life Sciences & Biomedicine | Chemistry, Applied | Nutrition & Dietetics | Food Science & Technology | Science & Technology | Biological and medical sciences | Toxicology | Medical sciences | Food toxicology | Flour - analysis | Flour - classification | Triticum - chemistry | Plant Proteins - chemistry | Mass Spectrometry - methods | Triticum - classification | Wheat | Cultivars | Index Medicus
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9. Full Text Proteome scale identification, classification and structural analysis of iron-binding proteins in bread wheat
by Verma, Shailender Kumar and Sharma, Ankita and Sandhu, Padmani and Choudhary, Neha and Sharma, Shailaja and Acharya, Vishal and Akhter, Yusuf
Journal of inorganic biochemistry, ISSN 0162-0134, 05/2017, Volume 170, pp. 63 - 74
Structural bioinformatics | Coordination geometries | Ferric and ferrous ions | Iron-binding proteins | Triticum aestivum | Biochemistry & Molecular Biology | Physical Sciences | Chemistry, Inorganic & Nuclear | Chemistry | Life Sciences & Biomedicine | Science & Technology | Triticum - genetics | Plant Proteins - genetics | Proteome - genetics | Plant Proteins - classification | Iron-Binding Proteins - classification | Iron-Binding Proteins - genetics | Plant Proteins - metabolism | Iron-Binding Proteins - metabolism | Proteome - metabolism | Protein Folding | Triticum - metabolism | Iron compounds | Analysis | Genomics | Physiological aspects | Binding proteins | Gene expression | Wheat | Membrane proteins | Protein binding | Proteins | Post-translational modification | Amino acids | Index Medicus
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10. Full Text Genome-wide identification, classification, evolutionary analysis and gene expression patterns of the protein kinase gene family in wheat and Aegilops tauschii
by Yan, Jun and Su, Peisen and Wei, Zhaoran and Nevo, Eviatar and Kong, Lingrang
Plant molecular biology, ISSN 0167-4412, 10/2017, Volume 95, Issue 3, pp. 227 - 242
Life Sciences | Biochemistry, general | Plant Pathology | Wheat protein kinase family | Expression pattern | Conserved exon–intron structures | Plant Sciences | Collinearity events | Biochemistry & Molecular Biology | Life Sciences & Biomedicine | Science & Technology | Multigene Family | Protein Kinases - genetics | Species Specificity | Stress, Physiological | Plant Diseases - microbiology | Poaceae - genetics | Phylogeny | Protein Kinases - classification | Fusarium - physiology | Poaceae - enzymology | Adaptation, Physiological - genetics | Droughts | Gene Expression Regulation, Plant | Plant Diseases - genetics | Triticum - enzymology | Triticum - microbiology | Poaceae - microbiology | Gene Expression Profiling - methods | Chromosome Mapping | Genome, Plant | Host-Pathogen Interactions | Triticum - genetics | Genes, Plant - genetics | Chromosomes, Plant - genetics | Evolution, Molecular | Proteins | Genes | Genomics | Genetic research | Genomes | Gene expression | Wheat | Protein kinases | Stresses | Plants (botany) | Fusarium graminearum | Infections | Kinases | Stress | Signal transduction | Protein arrays | DNA microarrays | Pathways | Evolutionary biology | Protein kinase | Reproduction (copying) | Classification | Fusarium | Evolution | Collinearity | Goat grass | Stress response | Drought | Pattern analysis | Index Medicus
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