- Sample size determination for training set optimization in genomic ...🔍
- A comparison of methods for training population optimization in ...🔍
- Genomic selection optimization in blueberry🔍
- Sample sizes of the required training sets and the identified best...🔍
- Training set optimization is a feasible alternative for perennial ...🔍
- oumarkme/TSDFGS🔍
- Optimizing Training Population Size and Content to Improve ...🔍
- Evaluation of strategies to optimize training populations for genomic ...🔍
Sample size determination for training set optimization in genomic ...
Sample size determination for training set optimization in genomic ...
The training set size is limited by breeding resource budget constraints. Hence, the sample size of the optimal training set should be carefully ...
Sample size determination for training set optimization in genomic ...
A practical approach is developed to determine a cost-effective optimal training set for selective phenotyping in a genomic prediction study ...
Sample size determination for training set optimization in genomic ...
Training set determination for genomic selection ... Key message A new optimality criterion is proposed to determine a training set for genomic selection, which ...
Sample size determination for training set optimization in genomic ...
A practical approach was developed to determine a cost-effective optimal training set for selective phenotyping in a genomic prediction study by applying ...
Sample size determination for training set optimization in genomic ...
Setting the sample size of the training set usually takes into account time and space constraints that are inevitable in an agricultural experiment. However, ...
A comparison of methods for training population optimization in ...
A training set size of 50–55% (targeted) or 65–85% (untargeted) is needed to obtain 95% of the accuracy. Abstract. With the advent of genomic ...
Genomic selection optimization in blueberry: Data‐driven methods ...
... training set, small increments in the population size increased the predictive abilities. For firmness, one of the sampling methods reached ...
Sample sizes of the required training sets and the identified best...
Key message Maximizing CDmean and Avg_GRM_self were the best criteria for training set optimization. A training set size of 50–55% (targeted) or 65–85% ( ...
Training set optimization is a feasible alternative for perennial ...
Here, we present genomic information and training set optimization ... We followed the adopted variation in the sample size (50 and 100).
oumarkme/TSDFGS: Training set determination for genomic selection.
-Y., Ou, J.-H., and Liao, C.-T. Sample size determination for training set optimization in genomic prediction. Theoretical and Applied Genetics 136, 57 ...
Optimizing Training Population Size and Content to Improve ... - MDPI
Designing a small-size TP by stratified sampling led to a higher accuracy than a large-size TP in most traits across TP18 and TP19; this is because stratified ...
Evaluation of strategies to optimize training populations for genomic ...
The wheat validation sets were inconclusive in determining which ... Genetic similarity along with population size ... Training set optimization under population ...
Genomic selection in plant breeding: Key factors shaping two ...
Special emphasis was placed on optimizing training population size. We explored its benefits and the associated diminishing returns beyond an ...
A Modified Bayesian Optimization Approach for Determining a ...
Conventionally, the training set optimization is developed to maximize Pearson's correlation between true breeding values and genomic estimated ...
Training set optimization of genomic prediction by means of EthAcc
The same objective was later addressed by the authors of [24]. Both research groups proposed to perform panel optimization with a fixed size of the training set ...
Optimizing Training Population Data and Validation of Genomic ...
Our objectives were to (1) determine the prediction accuracy of different GS models for four economically important traits of SRWW, (2) determine the ability of ...
Optimization of genomic selection training populations with a ...
Our results show that, compared to a random sample of the same size, the use of a set of individuals selected by our method improved accuracies.
Selective Genotyping and Phenotyping for Optimization of Genomic ...
In cross-validation, the highest prediction ability for the MDL population was observed at 75% population size (170 genotypes) using the AN approach. GPL ...
Training Set Optimization for Sparse Phenotyping in Genomic ...
... optimal design space at each sample size. The usual methods of selecting a solution on a frontier can guide the determination of the TRS size. Finally, a ...
Genomic selection in plant breeding: Key factors shaping two ...
-T. Sample size determination for training set optimization in genomic prediction. Theor. Appl. Genet. 2023; 136:57. Crossref · Scopus (1) · PubMed · Google ...