AIMC Topic: Quantitative Trait, Heritable

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WhoGEM: an admixture-based prediction machine accurately predicts quantitative functional traits in plants.

Genome biology May 28, 2019
The explosive growth of genomic data provides an opportunity to make increased use of sequence variations for phenotype prediction. We have developed a prediction machine for quantitative phenotypes (WhoGEM) that overcomes some of the bottlenecks lim...
Phenotype Genomics Mediterranean Region Phylogeography Quantitative Trait, Heritable Medicago Machine Learning
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New Deep Learning Genomic-Based Prediction Model for Multiple Traits with Binary, Ordinal, and Continuous Phenotypes.

G3 (Bethesda, Md.) May 7, 2019
Multiple-trait experiments with mixed phenotypes (binary, ordinal and continuous) are not rare in animal and plant breeding programs. However, there is a lack of statistical models that can exploit the correlation between traits with mixed phenotypes...
Deep Learning Genomics Genotype Algorithms Phenotype Reproducibility of Results Genome Genome, Plant Quantitative Trait, Heritable Plant Breeding Genetic Association Studies Models, Genetic Selection, Genetic
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Identification of optimal prediction models using multi-omic data for selecting hybrid rice.

Heredity Mar 25, 2019
Genomic prediction benefits hybrid rice breeding by increasing selection intensity and accelerating breeding cycles. With the rapid advancement of technology, other omic data, such as metabolomic data and transcriptomic data, are readily available fo...
Genomics Metabolomics Regression Analysis Oryza Crops, Agricultural Models, Genetic Support Vector Machine Seeds Plant Breeding Chimera Crosses, Genetic Quantitative Trait Loci Quantitative Trait, Heritable
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A Benchmarking Between Deep Learning, Support Vector Machine and Bayesian Threshold Best Linear Unbiased Prediction for Predicting Ordinal Traits in Plant Breeding.

G3 (Bethesda, Md.) Feb 7, 2019
Genomic selection is revolutionizing plant breeding. However, still lacking are better statistical models for ordinal phenotypes to improve the accuracy of the selection of candidate genotypes. For this reason, in this paper we explore the genomic ba...
Plant Breeding Selective Breeding Support Vector Machine Bayes Theorem Quantitative Trait, Heritable
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Multi-environment Genomic Prediction of Plant Traits Using Deep Learners With Dense Architecture.

G3 (Bethesda, Md.) Dec 10, 2018
Genomic selection is revolutionizing plant breeding and therefore methods that improve prediction accuracy are useful. For this reason, active research is being conducted to build and test methods from other areas and adapt them to the context of gen...
Sequence Analysis, DNA Predictive Value of Tests Zea mays Triticum Quantitative Trait, Heritable Gene-Environment Interaction Machine Learning Models, Genetic
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Generalized multifactor dimensionality reduction approaches to identification of genetic interactions underlying ordinal traits.

Genetic epidemiology Nov 2, 2018
The manifestation of complex traits is influenced by gene-gene and gene-environment interactions, and the identification of multifactor interactions is an important but challenging undertaking for genetic studies. Many complex phenotypes such as dise...
Quantitative Trait, Heritable Probability Epistasis, Genetic Multifactor Dimensionality Reduction ROC Curve Phenotype Gene Regulatory Networks Humans Computer Simulation Genotype Atherosclerosis Risk Factors Models, Genetic Ethnicity Principal Component Analysis
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Cotton genotypes selection through artificial neural networks.

Genetics and molecular research : GMR Sep 27, 2017
Breeding programs currently use statistical analysis to assist in the identification of superior genotypes at various stages of a cultivar's development. Differently from these analyses, the computational intelligence approach has been little explore...
Genotype Models, Genetic Selection, Genetic Cotton Fiber Gossypium Quantitative Trait, Heritable Neural Networks, Computer Plant Breeding Selective Breeding
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Applying machine learning to identify autistic adults using imitation: An exploratory study.

PloS one Aug 16, 2017
Autism spectrum condition (ASC) is primarily diagnosed by behavioural symptoms including social, sensory and motor aspects. Although stereotyped, repetitive motor movements are considered during diagnosis, quantitative measures that identify kinemati...
Movement Adult Humans Imitative Behavior Biomechanical Phenomena Machine Learning Quantitative Trait, Heritable Case-Control Studies Autism Spectrum Disorder
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Discrimination of plant root zone water status in greenhouse production based on phenotyping and machine learning techniques.

Scientific reports Aug 15, 2017
Plant-based sensing on water stress can provide sensitive and direct reference for precision irrigation system in greenhouse. However, plant information acquisition, interpretation, and systematical application remain insufficient. This study develop...
Plant Development Quantitative Trait, Heritable Machine Learning Plants Algorithms ROC Curve Stress, Physiological Plant Roots Plant Physiological Phenomena Phenotype Models, Biological Reproducibility of Results Water
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Artificial neural networks as auxiliary tools for the improvement of bean plant architecture.

Genetics and molecular research : GMR Jun 29, 2017
Classification using a scale of visual notes is a strategy used to select erect bean plants in order to improve bean plant architectures. Use of morphological traits associated with the phenotypic expression of bean architecture in classification pro...
Hypocotyl Glycine max Quantitative Trait, Heritable Neural Networks, Computer Plant Breeding Phenotype Models, Genetic
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