Prof. Dr. Bogdan Kulig is a distinguished Professor of Agricultural Sciences at the University of Agriculture in Krakow, specializing in agronomy, crop production, and agroecology. His extensive research focuses on enhancing the productivity and sustainability of legume and oilseed crop cultivation, improving cereal production through precision agriculture, and applying deterministic and mathematical models to plant growth and development. He has authored over 200 scholarly works, including 151 peer-reviewed journal articles and 42 popular science publications, along with several academic textbooks. His research contributions have significantly advanced modern crop science, particularly in developing improved cultivation technologies for large- and small-seeded legumes and oilseed crops such as Abyssinian crambe, oilseed flax, and winter rapeseed. Prof. Kulig has also contributed to academic leadership through mentoring graduate and doctoral students and participating in numerous scientific and organizational committees. His scholarly impact is reflected in his citation metrics, with a Scopus h-index of 12 (464 citations from 41 documents) and a Google Scholar h-index of 17 (1,501 citations and 44 i10-index). His innovative research combining agronomic science and modeling approaches continues to shape sustainable agricultural practices and academic discourse in plant production systems.
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Featured Publications
Dacko, M., Oleksy, A., Synowiec, A., Klimek-Kopyra, A., Kulig, B., & Zając, T. (2023). Plant-architectural and environmental predictors of seed mass of winter oilseed rape in southern Poland based on the CART trees regression model. Industrial Crops and Products, 192, 1–8.
Kulig, B., Waga, J., Oleksy, A., Rapacz, M., Kołodziejczyk, M., Wężyk, P., Klimek-Kopyra, A., Witkowicz, R., Skoczowski, A., Podolska, G., & Grygierzec, W. (2023). Forecasting of hypoallergenic wheat productivity based on unmanned aerial vehicles remote sensing approach – Case study. Agriculture, 13, null.
Kulig, B., & Klimek-Kopyra, A. (2023). Sowing date and fertilization level are effective elements increasing soybean productivity in rainfall deficit conditions. Agriculture, 13, null.
Kulig, B., Oleksy, A., & Zając, T. (2010). Mathematical modeling of plant growth and development. University of Agriculture Press.
Kulig, B., Klimek-Kopyra, A., & Oleksy, A. (2020). Plant cultivation. University of Agriculture Press.