☆ 4.7 Article

G2P Provides an Integrative Environment for Multi-model genomic selection analysis to improve genotype-to-phenotype prediction

FRONTIERS IN PLANT SCIENCE (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Review Plant Sciences

Machine learning bridges omics sciences and plant breeding

Jun Yan et al.

Summary: Machine learning (ML) shows great potential in translating biological knowledge and omics data into precision-designed plant breeding, bridging the gap between basic research and breeding practice. ML algorithms can be used to analyze multi-omics data, infer gene-regulation networks, and prioritize target genes for knowledge-driven molecular design breeding.

TRENDS IN PLANT SCIENCE (2023)

添加到收藏夹

Article Plant Sciences

IP4GS: Bringing genomic selection analysis to breeders

Tong Li et al.

Summary: IP4GS is a web-based platform that provides a user-friendly interface for genomic selection analysis, allowing plant breeders with limited bioinformatics knowledge to easily apply GS analysis.

FRONTIERS IN PLANT SCIENCE (2023)

添加到收藏夹

Article Agronomy

Phenomic selection in wheat breeding: identification and optimisation of factors influencing prediction accuracy and comparison to genomic selection

Pauline Robert et al.

Summary: The study suggests that phenomic selection (PS) could be a promising alternative or complement to genomic selection (GS) in wheat breeding. Models combining spectra from different environments have high accuracy in predicting grain yield and heading date of wheat breeding lines.

THEORETICAL AND APPLIED GENETICS (2022)

添加到收藏夹

Article Genetics & Heredity

Genomic selection and genetic architecture of agronomic traits during modern rapeseed breeding

Jihong Hu et al.

Summary: This study conducted whole-genome resequencing of 418 diverse rapeseed accessions and performed genome-wide association analyses for 56 agronomic traits. It provides insights into the genetic basis for the selection of adaptation and agronomic traits in rapeseed breeding.

NATURE GENETICS (2022)

添加到收藏夹

Review Biochemical Research Methods

Boosting predictabilities of agronomic traits in rice using bivariate genomic selection

Shibo Wang et al.

Summary: In this study, a highly efficient bivariate genomic selection method was developed and demonstrated significant advantages over univariate methods in predicting traditional traits in rice. The incorporation of the HAT methodology in the 2D BLUP GS model increased computational efficiency by avoiding conventional cross-validation. Selected metabolites can further enhance predictability of traditional traits in the new 2D BLUP-HAT GS method.

BRIEFINGS IN BIOINFORMATICS (2021)

添加到收藏夹

Article Biotechnology & Applied Microbiology

LightGBM: accelerated genomically designed crop breeding through ensemble learning

Jun Yan et al.

Summary: LightGBM is an ensemble model of decision trees used for classification and regression prediction, showing superior performance in genomic selection-assisted breeding. Through benchmark tests, it demonstrates advantages in prediction precision, model stability, and computing efficiency.

GENOME BIOLOGY (2021)

添加到收藏夹

Review Agronomy

Genomic selection: A breakthrough technology in rice breeding

Yang Xu et al.

Summary: Rice is a major staple food source globally, but current breeding progress is insufficient to meet the demand of the growing population. Genomic selection shows potential to accelerate breeding, but factors and limitations must be carefully considered. Integrating various models and technologies can improve breeding efficiency.

CROP JOURNAL (2021)

添加到收藏夹

Review Agronomy

Genome optimization for improvement of maize breeding

Shuqin Jiang et al.

THEORETICAL AND APPLIED GENETICS (2020)

添加到收藏夹

Article Mathematical & Computational Biology

MaizeCUBIC: a comprehensive variation database for a maize synthetic population

Jingyun Luo et al.

DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION (2020)

添加到收藏夹

Article Biotechnology & Applied Microbiology

CUBIC: an atlas of genetic architecture promises directed maize improvement

Hai-Jun Liu et al.

GENOME BIOLOGY (2020)

添加到收藏夹

Article Agronomy

Training population selection and use of fixed effects to optimize genomic predictions in a historical USA winter wheat panel

J. Martin Sarinelli et al.

THEORETICAL AND APPLIED GENETICS (2019)

添加到收藏夹

Article Genetics & Heredity

Genomic Selection for Yield and Seed Composition Traits Within an Applied Soybean Breeding Program

Benjamin B. Stewart-Brown et al.

G3-GENES GENOMES GENETICS (2019)

添加到收藏夹

Article Biochemical Research Methods

DNAscan: personal computer compatible NGS analysis, annotation and visualisation

A. Lacoangeli et al.

BMC BIOINFORMATICS (2019)

添加到收藏夹

Article Pathology

A Singularity Container for Molecular Diagnostic Somatic Variant Calling on the Ion Torrent Next-Generation Sequencing Platform

Andrea Garofoli et al.

JOURNAL OF MOLECULAR DIAGNOSTICS (2019)

添加到收藏夹

Review Biotechnology & Applied Microbiology

Breeding crops to feed 10 billion

Lee T. Hickey et al.

NATURE BIOTECHNOLOGY (2019)

添加到收藏夹

Article Genetics & Heredity

Genome-Wide Association Analysis for Resistance to Infectious Pancreatic Necrosis Virus Identifies Candidate Genes Involved in Viral Replication and Immune Response in Rainbow Trout (Oncorhynchus mykiss)

Francisco H. Rodriguez et al.

G3-GENES GENOMES GENETICS (2019)

添加到收藏夹

Article Biology

iMicrobe: Tools and data-driven discovery platform for the microbiome sciences

Ken Youens-Clark et al.

GIGASCIENCE (2019)

添加到收藏夹

Article Genetics & Heredity

Genomic Selection in Preliminary Yield Trials in a Winter Wheat Breeding Program

Vikas Belamkar et al.

G3-GENES GENOMES GENETICS (2018)

添加到收藏夹

Article Multidisciplinary Sciences

Singularity: Scientific containers for mobility of compute

Gregory M. Kurtzer et al.

PLOS ONE (2017)

添加到收藏夹

Article Multidisciplinary Sciences

Genomic Prediction of Seed Quality Traits Using Advanced Barley Breeding Lines

Nanna Hellum Nielsen et al.

PLOS ONE (2016)

添加到收藏夹

Article Multidisciplinary Sciences

A Ranking Approach to Genomic Selection

Mathieu Blondel et al.

PLOS ONE (2015)

添加到收藏夹

Article Agriculture, Dairy & Animal Science

Optimization of genomic selection training populations with a genetic algorithm

Deniz Akdemir et al.

GENETICS SELECTION EVOLUTION (2015)

添加到收藏夹

Article Ecology

Genomic-enabled prediction with classification algorithms

L. Ornella et al.

HEREDITY (2014)

添加到收藏夹

Article Genetics & Heredity

A Novel Generalized Ridge Regression Method for Quantitative Genetics

Xia Shen et al.

GENETICS (2013)

添加到收藏夹

Review Genetics & Heredity

Pitfalls of predicting complex traits from SNPs

Naomi R. Wray et al.

NATURE REVIEWS GENETICS (2013)

添加到收藏夹

Article Agriculture, Dairy & Animal Science

A comparison of partial least squares (PLS) and sparse PLS regressions in genomic selection in French dairy cattle

C. Colombani et al.

JOURNAL OF DAIRY SCIENCE (2012)

添加到收藏夹

Article Agronomy

Accuracy of genomic selection in European maize elite breeding populations

Yusheng Zhao et al.

THEORETICAL AND APPLIED GENETICS (2012)

添加到收藏夹

Article Agronomy

Genomic Selection Accuracy for Grain Quality Traits in Biparental Wheat Populations

Elliot L. Heffner et al.

CROP SCIENCE (2011)

添加到收藏夹

Article Plant Sciences

Ridge Regression and Other Kernels for Genomic Selection with R Package rrBLUP

Jeffrey B. Endelman

PLANT GENOME (2011)

添加到收藏夹

Article Biotechnology & Applied Microbiology

Genomic selection in plant breeding: from theory to practice

Jean-Luc Jannink et al.

BRIEFINGS IN FUNCTIONAL GENOMICS (2010)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Regularization Paths for Generalized Linear Models via Coordinate Descent

Jerome Friedman et al.

JOURNAL OF STATISTICAL SOFTWARE (2010)

添加到收藏夹

Article Biochemistry & Molecular Biology

R/qtlDesign: inbred line cross experimental design

Saunak Sen et al.

MAMMALIAN GENOME (2007)

添加到收藏夹

Article Genetics & Heredity

Selective phenotyping for increased efficiency in genetic mapping studies

CF Jin et al.

GENETICS (2004)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.