Development of a Genomic Prediction Pipeline for Maintaining Comparable Sample Sizes in Training and Testing Sets across Prediction Schemes Accounting for the Genotype-by-Environment Interaction
The global growing population is experiencing challenges to satisfy the food chain supply in a world that faces rapid changes in environmental conditions complicating the development of stable cultivars. Emergent methodologies aided by molecular marker information such as marker assisted selection (...
Main Authors: | Reyna Persa, Martin Grondona, Diego Jarquin |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-09-01
|
Series: | Agriculture |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-0472/11/10/932 |
Similar Items
-
Prediction Strategies for Leveraging Information of Associated Traits under Single- and Multi-Trait Approaches in Soybeans
by: Reyna Persa, et al.
Published: (2020-07-01) -
Sparse testing designs for optimizing predictive ability in sugarcane populations
by: Julian Garcia-Abadillo, et al.
Published: (2024-07-01) -
Corrigendum: Sparse testing designs for optimizing predictive ability in sugarcane populations
by: Julian Garcia-Abadillo, et al.
Published: (2024-11-01) -
Genomics pipelines to investigate susceptibility in whole genome and exome sequenced data for variant discovery, annotation, prediction and genotyping
by: Zeeshan Ahmed, et al.
Published: (2021-07-01) -
Enhancing Genomic Prediction Models for Forecasting Days to Maturity in Soybean Genotypes Using Site-Specific and Cumulative Photoperiod Data
by: Reyna Persa, et al.
Published: (2022-04-01)