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1. 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
Background: Laserscanning recently has become a powerful and common method for plant parameterization and plant growth observation on nearly every scale range.... 
High throughput | 3D-laserscanning | Automatic classification | Surface feature histogram | Grapevine | Plant phenotyping | Wheat | BIOTECHNOLOGY & APPLIED MICROBIOLOGY | BIOCHEMICAL RESEARCH METHODS | MATHEMATICAL & COMPUTATIONAL BIOLOGY | LIDAR | MODEL | 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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2. 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
Pearson's correlation coefficient (rho) is the most commonly reported metric of the success of prediction in genomic selection (GS). However, in real breeding... 
genomic selection | wheat | support vector machines | maize | REGRESSION | GENETIC VALUES | EVOLUTIONARY BIOLOGY | PACKAGE | GENETICS & HEREDITY | ECOLOGY | ASSISTED PREDICTION | SELECTION | TRAITS | PEDIGREE | 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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3. Full Text Changes in the phenolic acids composition during pancake preparation: Whole and refined grain flour and processed food classification by UV and NIR spectral fingerprinting method—Proof of concept
by Lu, Yingjian and Memon, Ayaz and Fuerst, Patrick and Kizonas, Alecia and Morris, Craig and Luthria, Devanand
Journal of Food Composition and Analysis, ISSN 0889-1575, 07/2017, Volume 60, pp. 10 - 16
We investigated the changes in the levels of phenolic acids during pancake preparation (flour to batter-pancake) from two refined and whole-wheat wheat... 
Wheat (Triticum) | Two wheat cultivars | Flour to batter to pancake | Food analysis | Pancake preparation | Whole and refined grain | Spectral fingerprinting | Phenolic acids | PCA | Proof of concept | ANTIPROLIFERATIVE ACTIVITY | FOOD SCIENCE & TECHNOLOGY | DOUGH | ANTIOXIDANT CAPACITY | WHEAT-FLOUR | PRODUCTS | PHYTOCHEMICAL COMPOSITION | DIETARY FIBER | CHEMISTRY, APPLIED | BREAD FRACTIONS | CONSUMPTION | Wheat | Analysis | Phytochemistry | Methods
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4. 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
BACKGROUND: A simplified computer vision-based application using artificial neural network (ANN) depending on multilayer perceptron (MLP) for accurately... 
image processing | artificial neural network | ANN | multilayer perceptron | ) | wheat grains | classification | artificial neural network (ANN) | SYSTEM | COFFEE | FOOD SCIENCE & TECHNOLOGY | AGRICULTURE, MULTIDISCIPLINARY | MACHINE VISION | CHEMISTRY, APPLIED | 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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5. Full Text Genetic classification of Aegilops columnaris Zhuk. (2 n =4 x =28, UcUcXcXc) chromosomes based on FISH analysis and substitution patterns in common wheat × Ae. columnaris introgressive lines
by Badaeva, E.D and Ruban, A.S and Shishkina, A.A and Sibikeev, S.N and Druzhin, A.E and Surzhikov, S.A and Dragovich, A.Yu and King, J
Genome, ISSN 0831-2796, 2018, Volume 61, Issue 2, pp. 131 - 143
Aegilops columnaris is a tetraploid species originated from Ae. umbellulata (2n=2x=14, UU) and a yet unknown diploid grass species. Although Ae. columnaris... 
C-banding | genome | Addition | Aegilops columnaris | Substitution | Genetic classification of chromosomes | FISH | Homoeology | Chromosome | Common wheat | Introgression | Triticum - genetics | Chromosome Banding | Plant Breeding | In Situ Hybridization, Fluorescence | Poaceae - genetics | Chromosomes, Plant | Poaceae - anatomy & histology | Hybrids | Divergence | Genomes | Gene sequencing | Substitutes | Genotype & phenotype | Drought resistance | Agronomy | Classification | Drought | Chromosomes | Deoxyribonucleic acid--DNA | Genotypes | Plant reproduction | Nucleotide sequence | DNA probes | Breeding | Nomenclature | Pests | Grasses | Leaf rust | Studies | Plant breeding | Banding | Wheat | Index Medicus
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6. Full Text Classification and expression diversification of wheat dehydrin genes
by Wang, Yuezhi and Xu, Haibin and Zhu, Huilan and Tao, Ye and Zhang, Zhengzhi and Zhang, Lixia and Zhang, Caiqin and Zhang, Guangxiang and Ma, Zhengqiang
Plant Science, ISSN 0168-9452, 01/2014, Volume 214, pp. 113 - 120
Dehydrins (DHNs) are late embryonic abundant proteins characterized by the dehydrin domains that are involved in plant abiotic stress tolerance. In this study,... 
Dehydrin | Cereal | Gene duplication | Abiotic stress | Wheat | Expression diversification | ARABIDOPSIS-THALIANA | ACIDIC DEHYDRIN | RICE ORYZA-SATIVA | BIOCHEMISTRY & MOLECULAR BIOLOGY | KS-TYPE DEHYDRIN | COLD-ACCLIMATION | LOW-TEMPERATURE | DROUGHT TOLERANCE | PLANT SCIENCES | EMBRYOGENESIS ABUNDANT PROTEINS | LEA GENES | FREEZING TOLERANCE | 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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7. 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
Wholemeal flours from 62 spelt and 13 wheat cultivars were studied. The quantitative protein compositions of the Osborne fractions determined by reversed-phase... 
Gliadins | Wheat crossbreed | Protein composition | Spelt classification | Glutenins | GEL-ELECTROPHORETIC ANALYSES | FOOD SCIENCE & TECHNOLOGY | FORMS | NUTRITION & DIETETICS | OMEGA-GLIADINS | SEPARATION | CHEMISTRY, APPLIED | GLUTEN PROTEINS | Flour - analysis | Flour - classification | Triticum - chemistry | Plant Proteins - chemistry | Mass Spectrometry - methods | Triticum - classification | Wheat | Cultivars | Index Medicus
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8. Genetic diversity and classification of cytoplasm of Chinese elite foxtail millet [Setaria italica (L.) P. Beauv.] germplasm
by Liu, Zhengli and Zhang, Ting and Li, Cong and Bai, Guihua
Crop Science, ISSN 0011-183X, 03/2014, Volume 54, Issue 2, pp. 659 - 666
A single cytoplasmic source of foxtail millet male sterile lines has become a major limiting factor for wide utilization of heterosis in foxtail millet. To... 
AGRONOMY | RFLP ANALYSIS | SET | AEGILOPS | PRIMERS | POPULATION-STRUCTURE | PLANTS | MITOCHONDRIAL-DNA VARIATION | TRITICUM
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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 Sharma, Shailaja and Sandhu, Padmani and Choudhary, Neha and Acharya, Vishal and Akhter, Yusuf
Journal of Inorganic Biochemistry, ISSN 0162-0134, 05/2017, Volume 170, pp. 63 - 74
Bread wheat is one of the major staple foods of worldwide population and iron plays a significant role in growth and development of the plant. In this report,... 
Structural bioinformatics | Coordination geometries | Ferric and ferrous ions | Iron-binding proteins | Triticum aestivum | NONHEME IRON | FAMILIES DATABASE | DOMAIN PROTEINS | BIOCHEMISTRY & MOLECULAR BIOLOGY | SUBCELLULAR-LOCALIZATION | GENE ONTOLOGY | PREDICTION | CHEMISTRY, INORGANIC & NUCLEAR | DNA METHYLTRANSFERASES | SITES | METAL-IONS | TOOL | 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 Variations and classification of toxic epitopes related to celiac disease among α-gliadin genes from four Aegilops genomes
by Li, Jie and Wang, Shunli and Li, Shanshan and Ge, Pei and Li, Xiaohui and Ma, Wujun and Zeller, F.J and Hsam, Sai L.K and Yan, Yueming and Scoles, G
Genome, ISSN 0831-2796, 07/2012, Volume 55, Issue 7, pp. 513 - 521
The α-gliadins are associated with human celiac disease. A total of 23 noninterrupted full open reading frame α-gliadin genes and 19 pseudogenes were cloned... 
α-gliadines | Aegilops | arbre neighbour-joining | toxic epitopes | neighbour-joining tree | épitopes toxiques | α-gliadins | Neighbour-joining tree | Toxic epitopes | MOLECULAR CHARACTERIZATION | BREAD WHEAT CULTIVARS | TRITICUM-AESTIVUM | LOCI | alpha-gliadins | ORIGINS | T-CELL RESPONSES | PEPTIDES | GENETICS | BIOTECHNOLOGY & APPLIED MICROBIOLOGY | SEQUENCE | GENETICS & HEREDITY | GLUTEN PROTEINS | Gliadin - genetics | Celiac Disease - genetics | Species Specificity | Poaceae - genetics | Celiac Disease - classification | Genome, Plant | DNA, Plant - metabolism | Epitopes - genetics | Poaceae - classification | Triticum - metabolism | Triticum - genetics | Diploidy | DNA, Plant - chemistry | Celiac Disease - immunology | Alleles | Genetic Variation - immunology | Index Medicus
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11. 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
In this study we systematically identified and classified PKs in Triticum aestivum, Triticum urartu and Aegilops tauschii. Domain distribution and exon–intron... 
Life Sciences | Biochemistry, general | Plant Pathology | Wheat protein kinase family | Expression pattern | Conserved exon–intron structures | Plant Sciences | Collinearity events | IMPROVES DROUGHT | PLANT | TRITICUM-AESTIVUM L | ARABIDOPSIS-THALIANA | Conserved exon-intron structures | TOLERANCE | BIOCHEMISTRY & MOLECULAR BIOLOGY | PSEUDOMONAS-SYRINGAE | RECEPTOR-LIKE KINASE | PLANT SCIENCES | SALT STRESS | PHOSPHATASE 1 | COMMON WHEAT | 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 | Fusarium graminearum | Plants (organisms) | 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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12. Full Text A conceptual framework for a computer-assisted, morphometric-based phytolith analysis and classification system
by Evett, Rand R and Cuthrell, Rob Q
Journal of Archaeological Science, ISSN 0305-4403, 04/2016, Volume 68, pp. 70 - 78
Although automated approaches to shape analysis and object classification have been widely applied in the biological sciences, technical and time... 
Automated classification | Emerging techniques | Silica phytoliths | Staining | Elliptic Fourier analysis | Multivariate analysis | Morphometrics | Elliptic fourier analysis | ORYZA-SATIVA POACEAE | WILD | RECOGNITION | ARCHAEOLOGY | ELLIPTIC FOURIER DESCRIPTORS | SHAPE | GEOSCIENCES, MULTIDISCIPLINARY | WHEAT TRITICUM-MONOCOCCUM | IMAGE | DISCRIMINATION | SILICA | ANTHROPOLOGY | MORPHOLOGY | Graphics software | School facilities | Machine vision | Education parks
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13. Full Text High molecular weight glutenin subunits and the classification used in Brazilian wheat industry
by Chapla, P.I and Vieira, E.S.N and Franco, F.A and Linde, G.A and Silva, G.J and Colauto, N.B and Marchioro, V.S and Schuster, I
Genetics and Molecular Research, ISSN 1676-5680, 09/2017, Volume 16, Issue 3, p. 1
Industrial wheat quality flour is related to gluten amount in grain. This study aimed to evaluate the relationship between high molecular weight (HMW)... 
Bread making | Glutenin scores | Gluten strength | HMW glutenins | Triticum aestivum | Triticum - genetics | Flour - classification | Glutens - metabolism | Brazil | Food Industry - standards | Plant Breeding | Flour - standards | Protein Subunits - metabolism | Triticum - classification | Triticum - metabolism | Plant breeding | Breeding | Grain | Classification | Gluten | Wheat | Molecular weight | Environmental effects | Bread | Glutenin | Cultivars | Index Medicus
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14. Full Text Intraspecific classification of durum wheat: New botanical varieties and forms
by Lyapunova, O A
Russian Journal of Genetics: Applied Research, ISSN 2079-0597, 11/2017, Volume 7, Issue 7, pp. 757 - 762
The Wheat Genetic Resources Department at Vavilov All Russia Institute of Plant Genetic Resources (VIR) treats Triticum durum Desf. as a separate species. It... 
Human Genetics | Biomedicine | durum wheat ( Triticum durum ) | forms of botanical variety | taxon | botanical variety | intraspecific classification | durum wheat (Triticum durum) | Pasta | New varieties | Glumes | Color | Genetic resources | Classification
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15. Full Text Production of anthocyanin-enriched flours of durum and soft pigmented wheats by air-classification, as a potential ingredient for functional bread
by Ficco, Donatella Bianca Maria and Borrelli, Grazia Maria and Giovanniello, Valentina and Platani, Cristiano and De Vita, Pasquale
Journal of Cereal Science, ISSN 0733-5210, 01/2018, Volume 79, pp. 118 - 126
Pigmented wheats have roles in development of functional foods because of their high levels of anthocyanins, which contribute to reduction of postprandial... 
Pigmented cereals | Estimated glycaemic index | Air-classification | Bread | TRITICUM-AESTIVUM L | QUALITY | KERNEL HARDNESS | BETA-GLUCAN | FOOD SCIENCE & TECHNOLOGY | CEREAL | PURPLE WHEAT | PASTA | BRAN FRACTIONS | STARCH | BARLEY FLOURS
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