Leah K. McHale
Agricultural and Biological Sciences · The Ohio State University
Publications
96
Citations
4,270
Est. group size
~5
Recurring co-author estimate
Active years
24
Publishing since 2003
Leah K. McHale's research focuses on the genetics and breeding of crop plants, particularly soybean, using molecular and genomic tools to understand disease resistance and important quality traits like seed protein, oil, and amino acid content. Her lab also studies genetic diversity and environmental adaptation in chile peppers, and has contributed to genome analysis in other crops such as lychee. This work combines plant breeding, quantitative genetics, and genomics to help develop crops with improved disease resistance and nutritional quality.
Publication output has been fairly steady over the past decade with year-to-year fluctuation, including a notable peak in 2022, followed by a somewhat lower but consistent pace of around 3-5 papers per year in recent years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Network analysis identifies QTLs and relationships between seed protein and free amino acids in soybean
Euphytica · 2026
- RenSeq-derived SNPs used in mapping resistance to Phytophthora sojae and three Pythium spp. in multiple soybean RIL populations
Molecular Breeding · 2026
- Network analysis combined with genome-wide association study helps identification of genes related to amino acid contents in soybean
BMC Genomics · 2025
- Genomic analysis and predictive modeling in the Northern Uniform Soybean Tests
Crop Science · 2025
- A comprehensive rhizobox pipeline for analyzing pepper root system architecture under well-watered and water deficit conditions
Research Square · 2025
- Resistance gene enrichment sequencing for NLR genes for <i>Phytophthora sojae</i> in selected soybean plant introductions and differentials with putative novel and known <i>Rps</i> genes
Crop Science · 2024
- Single- and multiple-trait quantitative trait locus analyses for seed oil and protein contents of soybean populations with advanced breeding line background
Molecular Breeding · 2024
- Molecular mechanisms underpinning quantitative resistance to Phytophthora sojae in Glycine max using a systems genomics approach
Frontiers in Plant Science · 2023
- Population structure in diverse pepper (Capsicum spp.) accessions
BMC Research Notes · 2023
- Canopy coverage phenotyping and field spatial variability adjustment as an efficient selection tool in soybean breeding
Crop Science · 2023
- The Effects of Genetic Distance and Genetic Diversity on Genomic Prediction Accuracy for Soybean Quantitative Disease Resistance to <i>Phytophthora sojae</i>
PhytoFrontiers™ · 2023
- Genomic signatures of adaptation to abiotic stress from a geographically diverse collection of chile peppers (Capsicum spp.) from Mexico
bioRxiv (Cold Spring Harbor Laboratory) · 2023
- Two divergent haplotypes from a highly heterozygous lychee genome suggest independent domestication events for early and late-maturing cultivars
Nature Genetics · 2022
- Genetic diversity, gene flow, and differentiation among wild, semiwild, and landrace chile pepper (<i>Capsicum annuum</i>) populations in Oaxaca, Mexico
American Journal of Botany · 2022
- Environment of origin and domestication affect morphological, physiological, and agronomic response to water deficit in chile pepper (Capsicum sp.)
PLoS ONE · 2022
- Crop Science×8
- Figshare×6
- Molecular Breeding×4
- PLoS ONE×4
- Journal of Plant Registrations×3
- Liyang Chen
Agricultural and Biological Sciences · Purdue University West Lafayette
- Lianjun Sun
Agricultural and Biological Sciences · Purdue University West Lafayette
- Chancelor B. Clark
Agricultural and Biological Sciences · Purdue University West Lafayette
- Weidong Wang
Agricultural and Biological Sciences · Purdue University West Lafayette
- Katy Martin Rainey
Agricultural and Biological Sciences · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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