Genomic and phenomic prediction for soybean seed yield, protein, and oil
Liza Van der Laan; Kyle Parmley; Mojdeh Saadati; Hernan Torres Pacin; Srikanth Panthulugiri; Soumik Sarkar; Baskar Ganapathysubramanian; Aaron J. Lorenz · 2025 · The Plant Genome
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Developments in genomics and phenomics have provided valuable tools for use in cultivar development. Genomic prediction (GP) has been used in commercial soybean [Glycine max L. (Merr.)] breeding programs to predict grain yield and seed…
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Metadata source: OpenAlex · DOI 10.1002/tpg2.70002