Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic prediction
出版年份 2022 全文链接
标题
Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic prediction
作者
关键词
-
出版物
Molecular Plant
Volume -, Issue -, Pages -
出版商
Elsevier BV
发表日期
2022-09-08
DOI
10.1016/j.molp.2022.09.001
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Genetics-inspired data-driven approaches explain and predict crop performance fluctuations attributed to changing climatic conditions
- (2022) Xianran Li et al. Molecular Plant
- A compressed variance component mixed model for detecting QTNs, and QTN-by-environment and QTN-by-QTN interactions in genome-wide association studies
- (2022) Mei Li et al. Molecular Plant
- Integration of genomic selection with doubled-haploid evaluation in hybrid breeding: from GS 1.0 to GS 4.0 and beyond
- (2022) Junjie Fu et al. Molecular Plant
- Prediction of and for new environments: what's your model?
- (2022) Hans-Peter Piepho Molecular Plant
- Multi-Trait Multi-Environment Genomic Prediction for End-Use Quality Traits in Winter Wheat
- (2022) Karansher S. Sandhu et al. Frontiers in Genetics
- Multi-trait genomic prediction using in-season physiological parameters increases prediction accuracy of complex traits in US wheat
- (2022) Dipendra Shahi et al. BMC GENOMICS
- Machine learning models outperform deep learning models, provide interpretation and facilitate feature selection for soybean trait prediction
- (2022) Mitchell Gill et al. BMC PLANT BIOLOGY
- Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays
- (2022) Ao Chen et al. CELL
- Chromosome-scale and haplotype-resolved genome assembly of a tetraploid potato cultivar
- (2022) Hequan Sun et al. NATURE GENETICS
- Convergent selection of a WD40 protein that enhances grain yield in maize and rice
- (2022) Wenkang Chen et al. SCIENCE
- Breeding future crops to feed the world through de novo domestication
- (2022) Hong Yu et al. Nature Communications
- Plant Genotype to Phenotype Prediction Using Machine Learning
- (2022) Monica F. Danilevicz et al. Frontiers in Genetics
- Blue Revolution for Food Security under Carbon Neutrality: A Case from the Water-saving and Drought-resistance Rice
- (2022) Hui Xia et al. Molecular Plant
- Unsupervised and semi‐supervised learning: the next frontier in machine learning for plant systems biology
- (2022) Jun Yan et al. PLANT JOURNAL
- A review of deep learning applications for genomic selection
- (2021) Osval Antonio Montesinos-López et al. BMC GENOMICS
- The Importance of Dominance and Genotype-by-Environment Interactions on Grain Yield Variation in a Large-Scale Public Cooperative Maize Experiment
- (2021) Anna R Rogers et al. G3-Genes Genomes Genetics
- Deep Learning for Predicting Complex Traits in Spring Wheat Breeding Program
- (2021) Karansher S. Sandhu et al. Frontiers in Plant Science
- High-Throughput Plant Phenotyping Platform (HT3P) as a Novel Tool for Estimating Agronomic Traits From the Lab to the Field
- (2021) Daoliang Li et al. Frontiers in Bioengineering and Biotechnology
- A route to de novo domestication of wild allotetraploid rice
- (2021) Hong Yu et al. CELL
- An Integrated Framework Reinstating the Environmental Dimension for GWAS and Genomic Selection in Crops
- (2021) Xianran Li et al. Molecular Plant
- A quantitative genomics map of rice provides genetic insights and guides breeding
- (2021) Xin Wei et al. NATURE GENETICS
- EnvRtype: a software to interplay enviromics and quantitative genomics in agriculture
- (2021) Germano Costa-Neto et al. G3-Genes Genomes Genetics
- Predictive breeding in maize during the last 90 years
- (2021) Rex Bernardo CROP SCIENCE
- Raman spectroscopy combined with machine learning for rapid detection of food-borne pathogens at the single-cell level
- (2021) Shuaishuai Yan et al. TALANTA
- Crop breeding for a changing climate: integrating phenomics and genomics with bioinformatics
- (2021) Jacob I. Marsh et al. THEORETICAL AND APPLIED GENETICS
- Systems biology for crop improvement
- (2021) Lekha T. Pazhamala et al. Plant Genome
- The Modern Plant Breeding Triangle: Optimizing the Use of Genomics, Phenomics, and Enviromics Data
- (2021) Jose Crossa et al. Frontiers in Plant Science
- Tripal, a community update after 10 years of supporting open source, standards-based genetic, genomic and breeding databases
- (2021) Margaret Staton et al. BRIEFINGS IN BIOINFORMATICS
- Genome design of hybrid potato
- (2021) Chunzhi Zhang et al. CELL
- Review: Application of Artificial Intelligence in Phenomics
- (2021) Shona Nabwire et al. SENSORS
- Genomics and breeding innovations for enhancing genetic gain for climate resilience and nutrition traits
- (2021) Pallavi Sinha et al. THEORETICAL AND APPLIED GENETICS
- Calibration and validation of predicted genomic breeding values in an advanced cycle maize population
- (2021) Hans-Jürgen Auinger et al. THEORETICAL AND APPLIED GENETICS
- Designing Future Crops: Genomics-Assisted Breeding Comes of Age
- (2021) Rajeev K. Varshney et al. TRENDS IN PLANT SCIENCE
- Multi-trait genomic-enabled prediction enhances accuracy in multi-year wheat breeding trials
- (2021) Abelardo Montesinos-López et al. G3-Genes Genomes Genetics
- Deep‐learning power and perspectives for genomic selection
- (2021) Osval Antonio Montesinos‐López et al. Plant Genome
- Multitrait machine‐ and deep‐learning models for genomic selection using spectral information in a wheat breeding program
- (2021) Karansher Sandhu et al. Plant Genome
- Can We Harness “Enviromics” to Accelerate Crop Improvement by Integrating Breeding and Agronomy?
- (2021) Mark Cooper et al. Frontiers in Plant Science
- Data-driven decentralized breeding increases prediction accuracy in a challenging crop production environment
- (2021) Kauê de Sousa et al. Communications Biology
- Designing the Crops for the Future; The CropBooster Program
- (2021) Jeremy Harbinson et al. Biology-Basel
- A European perspective on opportunities and demands for field-based crop phenotyping
- (2021) Merlijn Morisse et al. FIELD CROPS RESEARCH
- From Green Super Rice to green agriculture: Reaping the promise of functional genomics research
- (2021) Sibin Yu et al. Molecular Plant
- In planta haploid induction by genome editing of DMP in the model legume Medicago truncatula
- (2021) Na Wang et al. PLANT BIOTECHNOLOGY JOURNAL
- Can we harness digital technologies and physiology to hasten genetic gain in US maize breeding?
- (2021) Christine H Diepenbrock et al. PLANT PHYSIOLOGY
- Rice functional genomics: decades’ efforts and roads ahead
- (2021) Rongzhi Chen et al. Science China-Life Sciences
- Spatiotemporal limitations in plant biology research
- (2021) Sergi Munné-Bosch TRENDS IN PLANT SCIENCE
- Evolutionarily informed machine learning enhances the power of predictive gene-to-phenotype relationships
- (2021) Chia-Yi Cheng et al. Nature Communications
- Comparison of genomic selection models for exploring predictive ability of complex traits in breeding programs
- (2021) Lance F. Merrick et al. Plant Genome
- Prediction of Maize Phenotypic Traits With Genomic and Environmental Predictors Using Gradient Boosting Frameworks
- (2021) Cathy C. Westhues et al. Frontiers in Plant Science
- Genome-Wide Association Studies of Soybean Yield-Related Hyperspectral Reflectance Bands Using Machine Learning-Mediated Data Integration Methods
- (2021) Mohsen Yoosefzadeh-Najafabadi et al. Frontiers in Plant Science
- Integrating genetic gain and gap analysis to predict improvements in crop productivity
- (2020) Mark Cooper et al. CROP SCIENCE
- Can exascale computing and explainable artificial intelligence applied to plant biology deliver on the United Nations sustainable development goals?
- (2020) Jared Streich et al. CURRENT OPINION IN BIOTECHNOLOGY
- Genome-wide association and epistatic interactions of flowering time in soybean cultivar
- (2020) Kyoung Hyoun Kim et al. PLoS One
- Genomic Breeding of Green Super Rice Varieties and Their Deployment in Asia and Africa
- (2020) Sibin Yu et al. THEORETICAL AND APPLIED GENETICS
- Phenotyping: New Windows into the Plant for Breeders
- (2020) Michelle Watt et al. Annual Review of Plant Biology
- Dynamic effects of interacting genes underlying rice flowering-time phenotypic plasticity and global adaptation
- (2020) Tingting Guo et al. GENOME RESEARCH
- Enabling reusability of plant phenomic datasets with MIAPPE 1.1
- (2020) Evangelia A. Papoutsoglou et al. NEW PHYTOLOGIST
- Predicting yield performance of parents in plant breeding: A neural collaborative filtering approach
- (2020) Saeed Khaki et al. PLoS One
- Incorporation of parental phenotypic data into multi‐omic models improves prediction of yield related traits in hybrid rice
- (2020) Yang Xu et al. PLANT BIOTECHNOLOGY JOURNAL
- Opening the Black Box: Interpretable Machine Learning for Geneticists
- (2020) Christina B. Azodi et al. TRENDS IN GENETICS
- Performance prediction of crosses in plant breeding through genotype by environment interactions
- (2020) Javad Ansarifar et al. Scientific Reports
- Genome‐based prediction of multiple wheat quality traits in multiple years
- (2020) Maria Itria Ibba et al. Plant Genome
- Nonlinear kernels, dominance, and envirotyping data increase the accuracy of genome-based prediction in multi-environment trials
- (2020) Germano Costa-Neto et al. HEREDITY
- Installation of C 4 photosynthetic pathway enzymes in rice using a single construct
- (2020) Maria Ermakova et al. PLANT BIOTECHNOLOGY JOURNAL
- Inner Workings: Crop researchers harness artificial intelligence to breed crops for the changing climate
- (2020) Carolyn Beans PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Ligand-recognizing motifs in plant LysM receptors are major determinants of specificity
- (2020) Zoltan Bozsoki et al. SCIENCE
- Enviromics in breeding: applications and perspectives on envirotypic-assisted selection
- (2020) Rafael T. Resende et al. THEORETICAL AND APPLIED GENETICS
- A Review of Integrative Imputation for Multi-Omics Datasets
- (2020) Meng Song et al. Frontiers in Genetics
- Using Interactome Big Data to Crack Genetic Mysteries and Enhance Future Crop Breeding
- (2020) Leiming Wu et al. Molecular Plant
- An SHR–SCR module specifies legume cortical cell fate to enable nodulation
- (2020) Wentao Dong et al. NATURE
- Designing future crops: challenges and strategies for sustainable agriculture
- (2020) Zhixi Tian et al. PLANT JOURNAL
- High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms
- (2020) Xiuliang Jin et al. IEEE Geoscience and Remote Sensing Magazine
- Synthetic glycolate metabolism pathways stimulate crop growth and productivity in the field
- (2019) Paul F. South et al. SCIENCE
- Machine Learning and Integrative Analysis of Biomedical Big Data
- (2019) Bilal Mirza et al. Genes
- Updating the Genome of the Elite Rice Variety Kongyu131 to Expand Its Ecological Adaptation Region
- (2019) Rongsheng Wang et al. Frontiers in Plant Science
- Identification of optimal prediction models using multi-omic data for selecting hybrid rice
- (2019) Shibo Wang et al. HEREDITY
- BrAPI - an Application Programming Interface for Plant Breeding Applications
- (2019) Rafael Abbeloos et al. BIOINFORMATICS
- De Novo Domestication: An Alternative Route toward New Crops for the Future
- (2019) Alisdair R. Fernie et al. Molecular Plant
- Genomic prediction of maize yield across European environmental conditions
- (2019) Emilie J. Millet et al. NATURE GENETICS
- A directed learning strategy integrating multiple omic data improves genomic prediction
- (2019) Xuehai Hu et al. PLANT BIOTECHNOLOGY JOURNAL
- Crop Yield Prediction Using Deep Neural Networks
- (2019) Saeed Khaki et al. Frontiers in Plant Science
- mySense: A comprehensive data management environment to improve precision agriculture practices
- (2019) Raul Morais et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Differentiating between morphologically similar species in genus Cinnamomum (Lauraceae) using deep convolutional neural networks
- (2019) Hao-Wen Yang et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Accelerating Climate Resilient Plant Breeding by Applying Next-Generation Artificial Intelligence
- (2019) Antoine L. Harfouche et al. TRENDS IN BIOTECHNOLOGY
- PM2.5 Prediction Based on Random Forest, XGBoost, and Deep Learning Using Multisource Remote Sensing Data
- (2019) Mehdi Zamani Joharestani et al. Atmosphere
- Improving grain yield, stress resilience and quality of bread wheat using large-scale genomics
- (2019) Philomin Juliana et al. NATURE GENETICS
- Benchmarking Parametric and Machine Learning Models for Genomic Prediction of Complex Traits
- (2019) Christina B. Azodi et al. G3-Genes Genomes Genetics
- DeepCount: In-Field Automatic Quantification of Wheat Spikes Using Simple Linear Iterative Clustering and Deep Convolutional Neural Networks
- (2019) Pouria Sadeghi-Tehran et al. Frontiers in Plant Science
- Genome-wide association studies using binned genotypes
- (2019) Bingxing An et al. HEREDITY
- An evaluation of machine-learning for predicting phenotype: studies in yeast, rice, and wheat
- (2019) Nastasiya F. Grinberg et al. MACHINE LEARNING
- Water-saving and drought-resistance rice: from the concept to practice and theory
- (2019) Lijun Luo et al. MOLECULAR BREEDING
- Benchmark for filter methods for feature selection in high-dimensional classification data
- (2019) Andrea Bommert et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Comparison and Modelling of Country-level Microblog User and Activity in Cyber-physical-social Systems Using Weibo and Twitter Data
- (2019) Po Yang et al. ACM Transactions on Intelligent Systems and Technology
- Leveraging biological insight and environmental variation to improve phenotypic prediction: Integrating crop growth models (CGM) with whole genome prediction (WGP)
- (2018) C.D. Messina et al. EUROPEAN JOURNAL OF AGRONOMY
- Beyond Genomic Prediction: Combining Different Types ofomicsData Can Improve Prediction of Hybrid Performance in Maize
- (2018) Tobias A. Schrag et al. GENETICS
- Quantitative and comparative analysis of whole-plant performance for functional physiological traits phenotyping: New tools to support pre-breeding and plant stress physiology studies
- (2018) Sanbon Chaka Gosa et al. PLANT SCIENCE
- Genomic and environmental determinants and their interplay underlying phenotypic plasticity
- (2018) Xin Li et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Translating High-Throughput Phenotyping into Genetic Gain
- (2018) José Luis Araus et al. TRENDS IN PLANT SCIENCE
- Beyond Genomic Prediction: Combining Different Types ofomicsData Can Improve Prediction of Hybrid Performance in Maize
- (2018) Tobias A. Schrag et al. GENETICS
- Performance, Economics and Potential Impact of Perennial Rice PR23 Relative to Annual Rice Cultivars at Multiple Locations in Yunnan Province of China
- (2018) Guangfu Huang et al. Sustainability
- A deep convolutional neural network approach for predicting phenotypes from genotypes
- (2018) Wenlong Ma et al. PLANTA
- AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture
- (2018) Lisa Harper et al. Database-The Journal of Biological Databases and Curation
- On the Road to Breeding 4.0: Unraveling the Good, the Bad, and the Boring of Crop Quantitative Genomics
- (2018) Jason G. Wallace et al. Annual Review of Genetics
- Accelerating crop genetic gains with genomic selection
- (2018) Kai Peter Voss-Fels et al. THEORETICAL AND APPLIED GENETICS
- Multi-trait, Multi-environment Deep Learning Modeling for Genomic-Enabled Prediction of Plant Traits
- (2018) Osval A. Montesinos-Lopez et al. G3-Genes Genomes Genetics
- Uncovering the hidden half of plants using new advances in root phenotyping
- (2018) Jonathan A Atkinson et al. CURRENT OPINION IN BIOTECHNOLOGY
- Enhancing genetic gain in the era of molecular breeding
- (2017) Yunbi Xu et al. JOURNAL OF EXPERIMENTAL BOTANY
- A 4-bp Insertion at ZmPLA1 Encoding a Putative Phospholipase A Generates Haploid Induction in Maize
- (2017) Chenxu Liu et al. Molecular Plant
- MATRILINEAL, a sperm-specific phospholipase, triggers maize haploid induction
- (2017) Timothy Kelliher et al. NATURE
- Smart super rice
- (2017) Qian Qian Science China-Life Sciences
- Omics-based hybrid prediction in maize
- (2017) Matthias Westhues et al. THEORETICAL AND APPLIED GENETICS
- Genomic models with genotype × environment interaction for predicting hybrid performance: an application in maize hybrids
- (2017) Rocío Acosta-Pech et al. THEORETICAL AND APPLIED GENETICS
- Genomic Selection in Plant Breeding: Methods, Models, and Perspectives
- (2017) José Crossa et al. TRENDS IN PLANT SCIENCE
- Assessment of Vegetation Indices Derived by UAV Imagery for Durum Wheat Phenotyping under a Water Limited and Heat Stressed Mediterranean Environment
- (2017) Angelos C. Kyratzis et al. Frontiers in Plant Science
- High-Throughput Phenotyping of Sorghum Plant Height Using an Unmanned Aerial Vehicle and Its Application to Genomic Prediction Modeling
- (2017) Kakeru Watanabe et al. Frontiers in Plant Science
- Use of Crop Growth Models with Whole-Genome Prediction: Application to a Maize Multienvironment Trial
- (2016) Mark Cooper et al. CROP SCIENCE
- Morphogenic Regulators Baby boom and Wuschel Improve Monocot Transformation
- (2016) Keith Lowe et al. PLANT CELL
- Borrowed alleles and convergence in serpentine adaptation
- (2016) Brian J. Arnold et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Evaluation of the utility of gene expression and metabolic information for genomic prediction in maize
- (2016) Zhigang Guo et al. THEORETICAL AND APPLIED GENETICS
- Envirotyping for deciphering environmental impacts on crop plants
- (2016) Yunbi Xu THEORETICAL AND APPLIED GENETICS
- Bandwagons I, too, have known
- (2016) Rex Bernardo THEORETICAL AND APPLIED GENETICS
- A Genomic Bayesian Multi-trait and Multi-environment Model
- (2016) Osval A. Montesinos-López et al. G3-Genes Genomes Genetics
- The FAIR Guiding Principles for scientific data management and stewardship
- (2016) Mark D. Wilkinson et al. Scientific Data
- Genetic Gains in Grain Yield Through Genomic Selection in Eight Bi-parental Maize Populations under Drought Stress
- (2015) Yoseph Beyene et al. CROP SCIENCE
- Evolutionary tradeoffs as opportunities to improve yield potential
- (2015) R. Ford Denison FIELD CROPS RESEARCH
- Joint prediction of multiple quantitative traits using a Bayesian multivariate antedependence model
- (2015) J Jiang et al. HEREDITY
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Methods of integrating data to uncover genotype–phenotype interactions
- (2015) Marylyn D. Ritchie et al. NATURE REVIEWS GENETICS
- Redesigning photosynthesis to sustainably meet global food and bioenergy demand
- (2015) Donald R. Ort et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Genomic Selection and Association Mapping in Rice (Oryza sativa): Effect of Trait Genetic Architecture, Training Population Composition, Marker Number and Statistical Model on Accuracy of Rice Genomic Selection in Elite, Tropical Rice Breeding Lines
- (2015) Jennifer Spindel et al. PLoS Genetics
- Accuracy and responses of genomic selection on key traits in apple breeding
- (2015) Hélène Muranty et al. Horticulture Research
- Genomic-enabled prediction with classification algorithms
- (2014) L Ornella et al. HEREDITY
- A review of microarray datasets and applied feature selection methods
- (2014) V. Bolón-Canedo et al. INFORMATION SCIENCES
- Breeding drought-tolerant maize hybrids for the US corn-belt: discovery to product
- (2014) Mark Cooper et al. JOURNAL OF EXPERIMENTAL BOTANY
- Amplify scientific discovery with artificial intelligence
- (2014) Y. Gil et al. SCIENCE
- Predicting the future of plant breeding: complementing empirical evaluation with genetic prediction
- (2014) Mark Cooper et al. Crop & Pasture Science
- A procedure allowing up to eight generations of wheat and nine generations of barley per annum
- (2013) Z. Zheng et al. EUPHYTICA
- The big challenges of big data
- (2013) Vivien Marx NATURE
- A reaction norm model for genomic selection using high-dimensional genomic and environmental data
- (2013) Diego Jarquín et al. THEORETICAL AND APPLIED GENETICS
- Integrating environmental covariates and crop modeling into the genomic selection framework to predict genotype by environment interactions
- (2013) Nicolas Heslot et al. THEORETICAL AND APPLIED GENETICS
- Accelerating plant breeding
- (2013) Gerald N. De La Fuente et al. TRENDS IN PLANT SCIENCE
- Genomic Prediction of Breeding Values when Modeling Genotype × Environment Interaction using Pedigree and Dense Molecular Markers
- (2012) Juan Burgueño et al. CROP SCIENCE
- Multiple-Trait Genomic Selection Methods Increase Genetic Value Prediction Accuracy
- (2012) Yi Jia et al. GENETICS
- Whole-Genome Regression and Prediction Methods Applied to Plant and Animal Breeding
- (2012) G. de los Campos et al. GENETICS
- Whole-genome strategies for marker-assisted plant breeding
- (2012) Yunbi Xu et al. MOLECULAR BREEDING
- Genomic and metabolic prediction of complex heterotic traits in hybrid maize
- (2012) Christian Riedelsheimer et al. NATURE GENETICS
- A Programmable Dual-RNA-Guided DNA Endonuclease in Adaptive Bacterial Immunity
- (2012) M. Jinek et al. SCIENCE
- Comparison Between Linear and Non-parametric Regression Models for Genome-Enabled Prediction in Wheat
- (2012) Paulino Pérez-Rodríguez et al. G3-Genes Genomes Genetics
- Extension of the bayesian alphabet for genomic selection
- (2011) David Habier et al. BMC BIOINFORMATICS
- Genomic Selection in Plant Breeding: A Comparison of Models
- (2011) Nicolas Heslot et al. CROP SCIENCE
- A Robust, Simple Genotyping-by-Sequencing (GBS) Approach for High Diversity Species
- (2011) Robert J. Elshire et al. PLoS One
- Increased Food and Ecosystem Security via Perennial Grains
- (2010) J. D. Glover et al. SCIENCE
- Towards better mouse models: enhanced genotypes, systemic phenotyping and envirotype modelling
- (2009) Johannes Beckers et al. NATURE REVIEWS GENETICS
- Improved Heterosis Prediction by Combining Information on DNA- and Metabolic Markers
- (2009) Tanja Gärtner et al. PLoS One
- High-Resolution Mapping and Characterization of Open Chromatin across the Genome
- (2008) Alan P. Boyle et al. CELL
- Progress in ideotype breeding to increase rice yield potential
- (2008) Shaobing Peng et al. FIELD CROPS RESEARCH
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