Events2Join

Training set optimization is a feasible alternative for perennial ...


Training set optimization is a feasible alternative for perennial ...

Training set optimization is an alternative to improve decision-making while leveraging genomic information as a cost-saving tool to accelerate plant ...

Training set optimization is a feasible alternative for perennial ...

Using the criteria PEV, r-score and core collection methodology provides risk-averse decisions. Training set optimization is an alternative to ...

Training set optimization is a feasible alternative for perennial ...

We assessed the performance of optimized training sets generated by each optimization criterion through a cross-validation procedure, akin to the one detailed ...

(PDF) Training set optimization is a feasible alternative for perennial ...

ArticlePDF Available. Training set optimization is a feasible alternative for perennial orphan crop domestication and germplasm management ...

Training set optimization is a feasible alternative for perennial ...

Training set optimization is a feasible alternative for perennial orphan crop domestication and germplasm management: an Acrocomia aculeata example. research ...

Training set optimization is a feasible alternative for perennial ...

Training set optimization is a feasible alternative for perennial orphan crop domestication and germplasm management: an Acrocomia aculeata example · Abstract.

Training set optimization is a feasible alternative for perennial ...

Training set optimization is a feasible alternative for perennial orphan crop domestication and germplasm management: an Acrocomia aculeata an Acrocomia ...

https://www.frontiersin.org/journals/plant-science/articles/10.3389 ...

... feasible alternative for perennial orphan crop ... Training set optimization is an alternative to ... During data collection, fruits were carefully ...

Training set optimization under population structure in genomic ...

Maximizing the phenotypic variance captured by the training set is important for optimal performance. Abstract The optimization of the training ...

Davines Group | Certified B Corp on LinkedIn

For those more focused on training set optimization, our study demonstrates how this approach can enable risk-averse decision-making in genomic ...

Training Population Optimization for Genomic Selection in Miscanthus

Abstract. Miscanthus is a perennial grass with potential for lignocellulosic ethanol production. To ensure its utility for this purpose, breeding efforts s.

Genomic prediction in hybrid breeding: I. Optimizing the training set ...

Training sets produced by maximizing the number of parent lines, each involved in one cross, had the highest prediction accuracy for H0 ...

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

... feasible in targeted optimization. ... Simultaneous size and composition optimization: beneficial when utilizing historical data and the training set ...

Genomic prediction of fruit texture and training population ... - Nature

... optimization of the training set size and composition for each validation set. ... To resolve this uncertainty, we used an alternative ...

Genomic Predictive Ability for Foliar Nutritive Traits in Perennial ...

The aims of the present study were to assess the potential of genomic selection for a range of nutritive traits in a multi-population training set.

Smart breeding driven by big data, artificial intelligence, and ...

This option may not be feasible if it is impractical or impossible to move the studied plant, and the phenotyping environment may vary ...

Accuracy of Genomic Prediction in a Commercial Perennial ...

... training set of individuals or families that are both genotyped and phenotyped. Such a population should contain as much variation as possible ...

Training Set Optimization for Sparse Phenotyping in Genomic ...

Genomic selection (GS) is becoming an essential tool in breeding programs due to its role in increasing genetic gain per unit time.

Predictive ability of genomic selection models in a multi-population ...

Genomic prediction models for multi-year dry matter yield, via genotyping-by-sequencing in a composite training set, demonstrate potential ...

Rick van de Zedde on LinkedIn: Genotype by Environment by ...

For those more focused on training set optimization, our study demonstrates how this approach can enable risk-averse decision-making in genomic ...