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dc.contributor.author | Hirooka, Yoshihiro | en |
dc.contributor.author | Homma, Koki | en |
dc.contributor.author | Shiraiwa, Tatsuhiko | en |
dc.contributor.alternative | 白岩, 立彦 | ja |
dc.date.accessioned | 2018-08-31T01:10:41Z | - |
dc.date.available | 2018-08-31T01:10:41Z | - |
dc.date.issued | 2018-04-23 | - |
dc.identifier.issn | 2045-2322 | - |
dc.identifier.uri | http://hdl.handle.net/2433/234182 | - |
dc.description.abstract | Monitoring the vertical distribution of leaf area index (LAI) is an effective method for evaluating canopy photosynthesis and biomass productivity. In this study, we proposed a novel method to characterize LAI vertical distribution non-destructively by utilizing LAI-2200 plant canopy analyzer, followed by the application of statistical moment equations. Field experiments were conducted with 5 rice cultivars under 2 fertilizer treatments in 2013 and with 3 rice cultivars under 3 plant density treatments in 2014. LAI readings obtained by a plant canopy analyzer for non-destructive stratified measurements were relatively consistent with LAI estimations using the stratified clipping method for every cultivar and treatment. The parameters calculated using the statistical moment equations numerically showed the changes in LAI vertical distribution with plant growth up to the heading stage. The differences in the parameters also quantified the effect of cultivar, fertilizer, and plant density treatments. These results suggest that the non-destructive stratified measurements and the statistical moments evaluated in this study provide quantitative, reliable information on the dynamics of LAI vertical distribution. The method is expected to be utilized by researchers in various research fields sharing common interests. | en |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | Springer Nature | en |
dc.rights | © The Author(s) 2018. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. | en |
dc.title | Parameterization of the vertical distribution of leaf area index (LAI) in rice (Oryza sativa L.) using a plant canopy analyzer | en |
dc.type | journal article | - |
dc.type.niitype | Journal Article | - |
dc.identifier.jtitle | Scientific Reports | en |
dc.identifier.volume | 8 | - |
dc.relation.doi | 10.1038/s41598-018-24369-0 | - |
dc.textversion | publisher | - |
dc.identifier.artnum | 6387 | - |
dc.address | Graduate School of Agricultural Sciences, Kindai University | en |
dc.address | Graduate School of Agricultural Science, Tohoku University | en |
dc.address | Graduate School of Agriculture, Kyoto University | en |
dc.identifier.pmid | 29686403 | - |
dcterms.accessRights | open access | - |
datacite.awardNumber | 17H03755 | - |
jpcoar.funderName | 日本学術振興会 | ja |
jpcoar.funderName.alternative | Japan Society for the Promotion of Science (JSPS) | en |
出現コレクション: | 学術雑誌掲載論文等 |
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