Combining Crop Growth Modeling With Trait-Assisted Prediction Improved the Prediction of Genotype by Environment Interactions
出版年份 2020 全文链接
标题
Combining Crop Growth Modeling With Trait-Assisted Prediction Improved the Prediction of Genotype by Environment Interactions
作者
关键词
-
出版物
Frontiers in Plant Science
Volume 11, Issue -, Pages -
出版商
Frontiers Media SA
发表日期
2020-06-19
DOI
10.3389/fpls.2020.00827
参考文献
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。- Correction: BWGS: A R package for genomic selection and its application to a wheat breeding programme
- (2020) PLoS One
- High-throughput phenotyping platforms enhance genomic selection for wheat grain yield across populations and cycles in early stage
- (2019) Jin Sun et al. THEORETICAL AND APPLIED GENETICS
- Using environmental clustering to identify specific drought tolerance QTLs in bread wheat (T. aestivum L.)
- (2019) Gaëtan Touzy et al. THEORETICAL AND APPLIED GENETICS
- Using crop growth model stress covariates and AMMI decomposition to better predict genotype-by-environment interactions
- (2019) R. Rincent et al. THEORETICAL AND APPLIED GENETICS
- Combining Crop Growth Modeling and Statistical Genetic Modeling to Evaluate Phenotyping Strategies
- (2019) Daniela Bustos-Korts et al. Frontiers in Plant Science
- 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
- Whole-genome prediction of reaction norms to environmental stress in bread wheat ( Triticum aestivum L.) by genomic random regression
- (2018) Delphine Ly et al. FIELD CROPS RESEARCH
- High throughput SNP discovery and genotyping in hexaploid wheat
- (2018) Hélène Rimbert et al. PLoS One
- Combining High-Throughput Phenotyping and Genomic Information to Increase Prediction and Selection Accuracy in Wheat Breeding
- (2018) Jared Crain et al. Plant Genome
- Correcting for spatial heterogeneity in plant breeding experiments with P-splines
- (2018) María Xosé Rodríguez-Álvarez et al. Spatial Statistics
- Resource allocation optimization with multi-trait genomic prediction for bread wheat (Triticum aestivum L.) baking quality
- (2018) Bettina Lado et al. THEORETICAL AND APPLIED GENETICS
- Phenomic Selection Is a Low-Cost and High-Throughput Method Based on Indirect Predictions: Proof of Concept on Wheat and Poplar
- (2018) Renaud Rincent et al. G3-Genes Genomes Genetics
- Nitrogen nutrition index predicted by a crop model improves the genomic prediction of grain number for a bread wheat core collection
- (2017) Delphine Ly et al. FIELD CROPS RESEARCH
- Water and temperature stress define the optimal flowering period for wheat in south-eastern Australia
- (2017) B.M. Flohr et al. FIELD CROPS RESEARCH
- Improving the baking quality of bread wheat by genomic selection in early generations
- (2017) Sebastian Michel et al. THEORETICAL AND APPLIED GENETICS
- Optimization of multi-environment trials for genomic selection based on crop models
- (2017) R. Rincent et al. THEORETICAL AND APPLIED GENETICS
- Efficiency of multi-trait, indirect, and trait-assisted genomic selection for improvement of biomass sorghum
- (2017) Samuel B. Fernandes et al. THEORETICAL AND APPLIED GENETICS
- Advantages and limitations of multiple-trait genomic prediction for Fusarium head blight severity in hybrid wheat (Triticum aestivum L.)
- (2017) Albert W. Schulthess et al. THEORETICAL AND APPLIED GENETICS
- Multitrait, Random Regression, or Simple Repeatability Model in High-Throughput Phenotyping Data Improve Genomic Prediction for Wheat Grain Yield
- (2017) Jin Sun et al. Plant Genome
- Extending the Marker × Environment Interaction Model for Genomic-Enabled Prediction and Genome-Wide Association Analysis in Durum Wheat
- (2016) José Crossa et al. CROP SCIENCE
- Use of Crop Growth Models with Whole-Genome Prediction: Application to a Maize Multienvironment Trial
- (2016) Mark Cooper et al. CROP SCIENCE
- Predicting Responses in Multiple Environments: Issues in Relation to Genotype × Environment Interactions
- (2016) Marcos Malosetti et al. CROP SCIENCE
- Toward integration of genomic selection with crop modelling: the development of an integrated approach to predicting rice heading dates
- (2016) Akio Onogi et al. THEORETICAL AND APPLIED GENETICS
- Canopy Temperature and Vegetation Indices from High-Throughput Phenotyping Improve Accuracy of Pedigree and Genomic Selection for Grain Yield in Wheat
- (2016) Jessica Rutkoski et al. G3-Genes Genomes Genetics
- Integrating Crop Growth Models with Whole Genome Prediction through Approximate Bayesian Computation
- (2015) Frank Technow et al. PLoS One
- Adapting wheat in Europe for climate change
- (2014) M.A. Semenov et al. JOURNAL OF CEREAL SCIENCE
- Predictions of heading date in bread wheat (Triticum aestivum L.) using QTL-based parameters of an ecophysiological model
- (2014) M. Bogard et al. JOURNAL OF EXPERIMENTAL BOTANY
- Traits associated with winter wheat grain yield in Central and West Asia
- (2014) Marta Silva Lopes et al. Journal of Integrative Plant Biology
- Effect of predictor traits on accuracy of genomic breeding values for feed intake based on a limited cow reference population
- (2013) M. Pszczola et al. Animal
- Quantification of the effects of VRN1 and Ppd-D1 to predict spring wheat (Triticum aestivum) heading time across diverse environments
- (2013) Bangyou Zheng et al. JOURNAL OF EXPERIMENTAL BOTANY
- Genomic selection allowing for marker-by-environment interaction
- (2013) Torben Schulz-Streeck et al. PLANT BREEDING
- 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
- 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
- Prediction of flowering time in Brassica oleracea using a quantitative trait loci-based phenology model
- (2011) R. Uptmoor et al. PLANT BIOLOGY
- Combining ecophysiological modelling and quantitative trait locus analysis to identify key elementary processes underlying tomato fruit sugar concentration
- (2010) Marion Prudent et al. JOURNAL OF EXPERIMENTAL BOTANY
- Efficient Methods to Compute Genomic Predictions
- (2008) P.M. VanRaden JOURNAL OF DAIRY SCIENCE
- Short-term responses of leaf growth rate to water deficit scale up to whole-plant and crop levels: an integrated modelling approach in maize
- (2008) KARINE CHENU et al. PLANT CELL AND ENVIRONMENT
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now