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Predicting growth, water-use efficiency and drought response through machine learning, GWAS and differential expression in Ponderosa pine.

BMC plant biology - 29 May 2026

Collins Sean M, Cathey Madison J, Barrera Mariola, Harris Brooke, Baesen Kailey, Lincoln Anna, Dixit Aalap, De La Torre Amanda R

Abstract excerpt

Understanding the molecular basis of phenotypic trait variation is key in improving field performance in plants. Many plants have high within seed source phenotypic variation, making trait-based inferences for performance difficult and inaccurate. Our study combined machine learning methods along with genomics and transcriptomics to understand the molecular drivers of important seedling traits in ponderosa pine....

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PMID: 42210081
DOI: 10.1186/s12870-026-09113-5
PMCID: PMC13418137

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

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