Brian Whipker
Professor and Commercial Floriculture Extension Specialist
Kilgore Hall 51B
Bio
Extension (80%) and research (20%) responsibilities for commercial floriculture.
Research: diagnostics, plant nutrition, water quality, plant growth regulators, and economics.
Extension: Focus includes providing production information and diagnostic services to commercial greenhouse floriculture operations. Area of specialization includes plant nutrition, plant growth regulators, and problem diagnostics. Primary crop focus includes pansies, bedding plants, poinsettias, and general potted plants.
Education
Ph.D Horticulture Purdue University 1995
M.S. Agricultural Economics Purdue University 1988
B.S Horticulture Purdue University 1985
B.S Agricultural Education Purdue University 1985
Publications
- A Data-driven Approach for Generating Leaf Tissue Nutrient Interpretation Ranges for Greenhouse Lettuce , HORTSCIENCE (2024)
- Coleus cultivars nutritional status as a function of leaf coloration , JOURNAL OF PLANT NUTRITION (2024)
- Peat Substrates Amended with Wood-based Biochar Do Not Influence the Efficacy of Paclobutrazol Drenches , HORTSCIENCE (2024)
- Comparison of Peat-Perlite-based and Peat-Biochar-based Substrates with Varying Rates of Calcium Silicate on Growth and Cannabinoid Production of Cannabis sativa 'BaOx' , HORTSCIENCE (2023)
- Hemp yield and cannabinoid concentrations under variable nitrogen and potassium fertilizer rates , CROP SCIENCE (2023)
- Predicting foliar nutrient concentrations and nutrient deficiencies of hydroponic lettuce using hyperspectral imaging , BIOSYSTEMS ENGINEERING (2023)
- Spectral Discrimination of Macronutrient Deficiencies in Greenhouse Grown Flue-Cured Tobacco , PLANTS-BASEL (2023)
- Supplemental lighting spectrum impact on sweet potato cutting production and rooting , CROP FORAGE & TURFGRASS MANAGEMENT (2023)
- The Use of Silicon Substrate Amendments to Decrease Micronutrient Concentrations at Varying Micronutrient Fertility Rates with Cannabis sativa 'Auto CBG' , HORTSCIENCE (2023)
- Hyperspectral Imaging With Machine Learning to Differentiate Cultivars, Growth Stages, Flowers, and Leaves of Industrial Hemp (Cannabis sativa L.) , FRONTIERS IN PLANT SCIENCE (2022)