Sparse Phenotyping and Haplotype|Based Models for ...

Sparse Phenotyping and Haplotype-Based Models for ... - Rice

We investigated the usefulness and effectiveness of multi-environment training sets with varying phenotyping intensities and different haplotype-based genomic ...

Sparse Phenotyping and Haplotype-Based Models for Genomic ...

Sparse phenotyping and haplotype-based models for genomic prediction in rice. Sang He, 1, 2 Shanshan Liang, 3 Lijun Meng, 4 Liyong Cao, corresponding author 5

(PDF) Sparse Phenotyping and Haplotype-Based Models for ...

Considering the huge potential of genomic prediction enhanced sparse phenotyping on the cost saving of multi-environment trials (MET), the establishment of a ...

Sparse Phenotyping and Haplotype-Based Models for Genomic ...

Table 2 The number of molecular variants available in different haplotype-based approaches in each rice population. From: Sparse Phenotyping and ...

Additional file 1 of Sparse Phenotyping and Haplotype-Based ...

Additional file 1: Table S1. Heritabilitiesand repeatabilities in each environment for days to headingand plant heightin the three rice populations. Funding ...

Holdings: Sparse Phenotyping and Haplotype-Based Models for ...

Sparse Phenotyping and Haplotype-Based Models for Genomic Prediction in Rice. Abstract The multi-environment genomic selection enables plant breeders to ...

Sparse Phenotyping and Haplotype-Based Models for ... - Matilda

Sparse Phenotyping and Haplotype-Based Models for Genomic Prediction in Rice. Télécharger en BibTeX doi · pdf. Type :Article de revue. Mots-clés :Genomic ...

The procedure of generating sparse phenotypes in the multi ...

of generating sparse phenotypes in the multi-environment training set from publication: Sparse Phenotyping and Haplotype-Based Models for Genomic Prediction ...

Training Set Optimization for Sparse Phenotyping in Genomic ...

(2015) derived a computationally efficient approximation to the PEV based on principal components of the genotypes as a criterion for TRS design that showed ...

Improving Selection Efficiency of Crop Breeding With Genomic ...

Based on these results, we recommend to use the basic multi-environment genomic prediction model to compare the effectiveness of sparse and ...

Exploring a Bayesian sparse factor model-based strategy for the ...

Beyond the traditional use of milk MIR spectra to predict phenotypes, researchers performed genetic analyses for milk MIR wavepoints with ...

GenomicPrediction on X: "Sparse Phenotyping & Haplotype-Based ...

Sparse Phenotyping & Haplotype-Based Models for Genomic Prediction in Rice https://t.co/8yri1DGnQA.

Genomic selection in plant breeding: Key factors shaping two ...

GP employs advanced statistical machine-learning models to select individuals within a breeding population based on breeding values estimated ...

Portability of genomic predictions trained on sparse factorial designs ...

... phenotyping is available for model training. One ... models, which consider genetic effects defined based on the hybrid marker genotypes.

Genomic Prediction Enhanced Sparse Testing for Multi-environment ...

An alternative is cross-validation 2 (CV2) in which the performance of some genotypes in specific environments is predicted by a calibration set which includes ...

Sparse testing designs for optimizing predictive ability in sugarcane ...

However, phenotyping all genotype-in-environment combinations is often impractical due to cost and limited availability of propagation-materials. This study ...

Sparse testing using genomic prediction improves selection for ...

We evaluated the efficiency of two sparse testing GP scenarios based on the approach reported by Jarquin et al. (2020):. 1. Phenotyping a ...

Sparse Phenotyping and Haplotype-Based Models for ... - Altmetric

Sparse Phenotyping and Haplotype-Based Models for Genomic Prediction in Rice ... X Demographics. The data shown below were collected from the ...

Optimizing Sparse Testing for Genomic Prediction of Plant Breeding ...

The sparse testing methods described in this study are applied in a two-stage analysis to build the genomic training and testing sets in a ...

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Sparse Phenotyping and Haplotype-Based Models for Genomic Prediction in Rice. Sang He, Shanshan Liang, Lijun Meng, Liyong Cao, Guoyou Ye. AbstractThe multi ...