Ko J - Search Results

1

Soil water availability and capacity of nitrogen accumulation influence variations of intrinsic water use efficiency in rice.

Xue W, Nay-Htoon B, Lindner S, Dubbert M, Otieno D, Ko J, Werner C, Tenhunen J. Xue W, et al. Among authors: ko j. J Plant Physiol. 2016 Apr 1;193:26-36. doi: 10.1016/j.jplph.2016.02.003. Epub 2016 Feb 19. J Plant Physiol. 2016. PMID: 26938938

2

Impacts of climate change on paddy rice yield in a temperate climate.

Kim HY, Ko J, Kang S, Tenhunen J. Kim HY, et al. Among authors: ko j. Glob Chang Biol. 2013 Feb;19(2):548-62. doi: 10.1111/gcb.12047. Epub 2012 Nov 6. Glob Chang Biol. 2013. PMID: 23504792

3

Quantifying differences in water and carbon cycling between paddy and rainfed rice (Oryza sativa L.) by flux partitioning.

Nay-Htoon B, Xue W, Lindner S, Cuntz M, Ko J, Tenhunen J, Werner C, Dubbert M. Nay-Htoon B, et al. Among authors: ko j. PLoS One. 2018 Apr 6;13(4):e0195238. doi: 10.1371/journal.pone.0195238. eCollection 2018. PLoS One. 2018. PMID: 29624613 Free PMC article.

4

Cell wall thickness has phylogenetically consistent effects on the photosynthetic nitrogen-use efficiency of terrestrial plants.

Xue W, Liu DD, Tosens T, Xiong DL, Carriquí M, Xiong YC, Ko J. Xue W, et al. Among authors: ko j. Plant Cell Environ. 2023 Aug;46(8):2323-2336. doi: 10.1111/pce.14641. Epub 2023 Jun 11. Plant Cell Environ. 2023. PMID: 37303271

5

Construction of a new LED chamber to measure net ecosystem exchange in low vegetation and validation study in grain crops.

Shin T, Xue W, Ko J. Shin T, et al. Among authors: ko j. Sci Rep. 2023 Jul 22;13(1):11850. doi: 10.1038/s41598-023-39148-9. Sci Rep. 2023. PMID: 37481652 Free PMC article.

6

Combining machine learning and remote sensing-integrated crop modeling for rice and soybean crop simulation.

Ko J, Shin T, Kang J, Baek J, Sang WG. Ko J, et al. Front Plant Sci. 2024 Feb 12;15:1320969. doi: 10.3389/fpls.2024.1320969. eCollection 2024. Front Plant Sci. 2024. PMID: 38410726 Free PMC article.

7

Geographical variations in gross primary production and evapotranspiration of paddy rice in the Korean Peninsula.

Jeong S, Ko J, Kang M, Yeom J, Ng CT, Lee SH, Lee YG, Kim HY. Jeong S, et al. Among authors: ko j. Sci Total Environ. 2020 Apr 20;714:136632. doi: 10.1016/j.scitotenv.2020.136632. Epub 2020 Jan 15. Sci Total Environ. 2020. PMID: 31982739

8

Simulation of Wheat Productivity Using a Model Integrated With Proximal and Remotely Controlled Aerial Sensing Information.

Shin T, Ko J, Jeong S, Shawon AR, Lee KD, Shim SI. Shin T, et al. Among authors: ko j. Front Plant Sci. 2021 Mar 24;12:649660. doi: 10.3389/fpls.2021.649660. eCollection 2021. Front Plant Sci. 2021. PMID: 33841477 Free PMC article.

9

Monitoring paddy productivity in North Korea employing geostationary satellite images integrated with GRAMI-rice model.

Yeom JM, Jeong S, Jeong G, Ng CT, Deo RC, Ko J. Yeom JM, et al. Among authors: ko j. Sci Rep. 2018 Oct 31;8(1):16121. doi: 10.1038/s41598-018-34550-0. Sci Rep. 2018. PMID: 30382152 Free PMC article.

10

Incorporation of machine learning and deep neural network approaches into a remote sensing-integrated crop model for the simulation of rice growth.

Jeong S, Ko J, Shin T, Yeom JM. Jeong S, et al. Among authors: ko j. Sci Rep. 2022 May 30;12(1):9030. doi: 10.1038/s41598-022-13232-y. Sci Rep. 2022. PMID: 35637314 Free PMC article.

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