Publications

​ 2021

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1. Iizumi, T., Shin, Y., Choi, J., van der Velde, M., Nisini, L., Kim, W. and Kim, K.H., 2021. Evaluating the 2019 NARO-APCC Joint Crop Forecasting Service yield forecasts for Northern Hemisphere countries. Weather and Forecasting, 36(3):879-891.

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​ 2020

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1. Kim, K.-H.* and Lee, J., 2020. Smart plant disease management using agrometeorological big data. Res. Plant Dis. 26(3):1-13.

2. Park, J.S., Kim, D.-K., Kim, C.S., Oh, S., Kim, K.-H.* & Oh, S.-O.*, 2020. The first finding of the lichen Solorina saccata at an algific talus slope in Korea. Mycobiol. 48(4):276-287.

3. Kim, K.-H.* and Jung, I., 2020. Development of a daily epidemiological model of rice blast tailored for seasonal disease early warning in South Korea. Plant Pathol. J. 36(5):406-417.

4. Kim, K.-H.* and Choi, E.D., 2020. Retrospective study on the seasonal forecast-based disease intervention of the wheat blast outbreaks in Bangladesh. Front. Plant Sci. 11:570381.

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​ 2019

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1. Kim, G.H., Koh, Y.J., and Kim, K.-H.*, 2019. Agrometeorological Analysis on the Freeze Damage Occurrence of Yuzu Trees in Goheung, Jeonnam Province in 2018. Res. Plant Dis. 25(2): 71-78.

2. Kim, K.-H. and Cho, J., 2019. Development of gap filling technique for statistical downscaling of climate change scenario data. Journal of Climate Change Research. 10(4): 333-341.

3. Islam, M. T., Kim, K.-H., and Choi, J., 2019. Wheat blast in Bangladesh: The current situation and future impacts. Plant Pathol. J. 35(1):1-10.

4. Kim, K.-H., Raymundo, A.D., and Aikins, C.M., 2019. Development of a rice tungro epidemiological model for seasonal disease risk management in the Philippines. Eur. J. Agron. 109:125911.

5. Kim, K.-H. and Koh, Y.J., 2019. An integrated modeling approach for predicting potential epidemics of bacterial blossom blight in kiwifruit under climate change. Plant Pathol. J. 35(5):1-14.

6. Kim, K.-H., 2019. Establishment of climate services for agriculture in the Pacific Island countries: the Tonga agromet project as a case study. Climate Services 100124.

7. Kim, K.-H., Shin, Y, Lee, S, and Jung, D. 2019. Use of seasonal climate forecasts in agricultural decision-making for crop disease management. In: Iizumi, T., Hirata, R., and Matsuda, R. editors, Adaptation to Climate Change in Agriculture: Research and Practices, Springer.

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​ ~2018

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1. Lee, S. and Kim, K.-H.*, 2018. Predicting potential epidemics of rice leaf blast disease using climate scenarios from the best global climate model selected for individual agro-climatic zones in Korea. Journal of Climate Change Research. 9(2):133-142.

2. Lee, E.J., Kim, M. and Kim, K.-H.*, 2018. Connecting ENSO‐related climatic variations with a long‐term crop supply data to enhance agro‐meteorological capability of Tongan stakeholders. Int. J. Climatol. 38(S1): e18-e27.

3. Kim, K.-H., Son, K.I. and Koh, Y.J., 2018. Adaptation of the New Zealand ‘Psa Risk Model’ for forecasting kiwifruit bacterial canker in Korea. Plant Pathology. 67(5):1208-1219.

4. Jeong, Y.M., Chung, U. and Kim, K.-H.*, 2018. Predicting future frost damage risk of kiwifruit in Korea under climate change using an integrated modeling approach. Int. J. Climatol. 38(14):5354-5367.

5. Han, E., Ines, A.V.M., Kim, K.-H., and Cousin, R. 2017. Decision support tools for climate risk management in agriculture. In: Agnes, C.R. Elena, B.De L.S., Francis, J.F.F., and Chrislyn J.P.F. editors, Building Resilience of Farming Communities: Science, Technology and Governance Innovations in Bicol, Philippines. UPLBFI College Press.

6. Kim, K.-H., Jeong, Y.M., Cho, Y.-S., and Chung, U., 2016. Preliminary result of uncertainty on variation of flowering date of kiwifruit: Case study of kiwifruit growing area of Jeollanam-do. Korean J. Agric. For. Meteor. 18:42-54.

7. Kim, K.-H., Cho, J., and Lee, Y.H., 2016. Forecasting brown planthopper infestation in Korea using statistical models based on climatic tele-connections. Korean J. Appl. Entomol. 55(2):139-148.

8. Son, K.I., Kim, G.H., Choi, E.D., Kim, K.-H., Lee, Y.S., Jung, J.S., and Koh, Y.J., 2016. Seasonal prevalence of bacterial canker of kiwifruit in Boseong in 2014 and 2015. Res. Plant Dis. 22(4): 217-226.

9. Kim, K.-H. and Cho, J., 2016. Predicting potential epidemics of rice diseases in Korea using multi-model ensembles for assessment of climate change impacts with uncertainty information. Clim. Chang. 134:327-339.

10. Kim, G.H.ª, Kim, K.-H.ª, Son, K.I., Choi, E.D., Lee, Y.S., Jung, J.S., and Koh, Y.J., 2016. Outbreak and Spread of Bacterial Canker of Kiwifruit Caused by Pseudomonas syringae pv. actinidiae Biovar 3 in Korea. Plant Pathol. J. 32(6):545-551. (ª equally contributed)

11. Chung, U., Kim, J.H. and Kim, K.-H.*, 2016. Variation and uncertainty in the predicted flowering dates of cherry blossoms using the CMIP5 climate change scenario. Asia-Pac. J. Atmos. Sci. 52(5):509-518.

12. Kim, K.-H. and Koh, Y.J., 2015. Development of a Maryblyt-based forecasting model for kiwifruit bacterial blossom blight. Res. Plant Dis. 21:67-73.

13. Kim, K.-H., Cho, J., Lee, Y.H., Lee, W.-S., 2015. Predicting potential epidemics of rice leaf blast and sheath blight in South Korea under the RCP 4.5 and RCP 8.5 climate change scenarios using a rice disease epidemiology model, EPIRICE. Agric. For. Meteor. 203:191-207.

14. Kim, K.-H., Kim, G.H., Son, K.I., and Koh, Y.J., 2015. Outbreaks of yuzu dieback in Goheung area: possible causes deduced from weather extremes. Plant Pathol. J. 31:290-298.

15. Wight, W.ª, Kim, K.-H.ª, Lawrence, C.B., and Walton, J.D., 2009. Biosynthesis and role in virulence of the histone deacetylase inhibitor depudecin from Alternaria brassicicola. Mol. Plant-Microbe Interact. 22:1258-1267. (ª equally contributed)

16. Kim, K.-H., Willger, S.D, Park, S.-H., Puttikamonkul, S., Grahl, N., Cho, Y., Mukhopadhyay, B., Cramer, R.A., and Lawrence, C.B., 2009. TmpL, a transmembrane protein is required for intracellular redox homeostasis and virulence in a plant and an animal fungal pathogen. PLoS Pathog. 5(11): e1000653.

17. Cho, Y., Kim, K.-H., La Rota, M., Scott, D., Santopietro, G., Callihan, M., Mitchell, T.K., and Lawrence, C.B., 2009. Identification of novel virulence factors associated with signal transduction pathways in Alternaria brassicicola. Mol. Microbiol. 72(6):1316-1333.

18. Willger, S.D., Puttikanonkul, S., Kim, K.-H., Burritt, J.B., Grahl, N., Metzler, L.J., Barbuch, R., Bard, M., Lawrence, C.B., and Cramer, R.A., 2008. A sterol-regulatory element binding protein is required for cell polarity, hypoxia adaptation, azole drug resistance, and virulence in Aspergillus fumigatus. PLoS Pathog. 4(11):e1000200.

19. Lawrence, C.B., Mitchell, T.K., Craven, K.D., Cho, Y., Cramer, R.A., and Kim, K.-H., 2008. At death’s door: Alternaria pathogenicity mechanisms. Plant Pathol. J. 24(2):101-111.

20. Kim, K.-H., Cho, Y., La Rota, M., Cramer, R.A., and Lawrence, C.B., 2007. Functional analysis of the Alternaria brassicicola non-ribosomal peptide synthetase gene AbNPS2 reveals a role in conidial cell wall construction. Mol. Plant Pathol. 8(1):23-39.

21. Cho, Y., Cramer, R.A., Kim, K.-H., Davis, J.W., Mitchell, T.K., Figuli, P., Pryor, B.M., Lemasters, E., and Lawrence, C.B., 2007. The Fus3/Kss1 MAP kinasehomolog Amk1 regulates the expression of genes encoding hydrolytic enzymes in the fungus Alternaria brassicicola. Fungal Genet. Biol. 44(6):543-553.

22. Cho, Y., Davis, J.W., Kim, K.-H., Wang J., Sun, Q.-H., Cramer, R.A., and Lawrence, C.B., 2006. A high throughput targeted gene disruption method for Alternaria brassicicola functional genomics using linear minimal element (LME) constructs. Mol. Plant-Microbe Interact. 19:7-15.

23. Kim, K.-H., Yoon, J.B., Park, H.-G., Park, E.W., and Kim, Y.H., 2004. Structural modification and programmed cell death of chili pepper fruit related to resistance responses against Colletotrichum gloeosporioides. Phytopathol. 94:1295-1304.

24. Kim, Y. H., and Kim, K.-H., 2002. Abscission layer formation as a resistance response of Peruvian apple cactus against Glomerella cingulata. Phytopathol. 92:964-969.