Modeling leaf area development in soybean (<i>Glycine max</i> L.) based on the branch growth and leaf elongation
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- Satoshi Nakano
- Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization, Tsukuba, Japan
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- Larry C. Purcell
- Department of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, USA
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- Koki Homma
- Graduate School of Agricultural Science, Tohoku University, Sendai, Japan
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- Tatsuhiko Shiraiwa
- Graduate School of Agriculture, Kyoto University, Kyoto, Japan
書誌事項
- 公開日
- 2019-12-24
- 資源種別
- journal article
- 権利情報
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- http://creativecommons.org/licenses/by/4.0/
- http://creativecommons.org/licenses/by/4.0/
- DOI
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- 10.1080/1343943x.2019.1702468
- 公開者
- Informa UK Limited
この論文をさがす
説明
Several models have been proposed to simulate the leaf area index (LAI) in soybean (Glycine max L.); however, these models do not directly account for the effect of branch growth. Because the increases in branches and branch node vary with plant density, the evaluation of branch growth is necessary for the application of the LAI model at various plant densities. In this study, we developed an LAI model for soybean, considering the branch growth and leaf elongation at each node. To simplify this model, we estimated the rate of branch and branch node increase based on the rate of main stem node increase. Branch growth was assumed to be restricted when the fraction of canopy radiation interception was increased. Moreover, we calculated the leaf area growth at each node based on leaf elongation at each leaflet. This LAI model was validated using the data of different years and plant densities for model calibration, and it estimated the LAI with a root mean square error of 0.76, which accounted for 92% of the variation in the data. Although further evaluation is needed, the LAI model proposed in this study reveals a high potential for accurate estimation of LAI at various plant densities.
収録刊行物
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- Plant Production Science
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Plant Production Science 23 (3), 247-259, 2019-12-24
Informa UK Limited
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詳細情報 詳細情報について
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- CRID
- 1361131419054529280
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- ISSN
- 13491008
- 1343943X
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- 資料種別
- journal article
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- データソース種別
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- Crossref
- KAKEN
- OpenAIRE