Combining Genomic and Phenomic Information for Predicting Grain Protein Content and Grain Yield in Spring Wheat
Abstract
Genomics and high throughput phenomics have the potential to revolutionize the field of wheat ( Triticum aestivum L.) breeding. Genomic selection (GS) has been used for predicting various quantitative traits in wheat, especially grain yield. However, there are few GS studies for grain protein content (GPC), which is a crucial quality determinant. Incorporation of secondary correlated traits in GS models has been demonstrated to improve accuracy....
Paper Details
Title
Combining Genomic and Phenomic Information for Predicting Grain Protein Content and Grain Yield in Spring Wheat
Published Date
Feb 12, 2021
Journal
Volume
12
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History