野外分光反射測定によるイネの生育と収量の推定
作物の生育と収量に関する新しい推定手法として野外での分光反射測定がある。この測定により得られた作物の波長別反射係数間の相互演算結果 (VI) が, 葉面積指数, 光合成有効放射 (PAR) および同吸収率 (Fp), PAR日吸収量 (Sp), 地上部乾物量 (DM) および収量とどのように関係づけられるかを数式で提示し, これらを茨城県つくば市での実測データに適用してその有効性を検証した。植物材料としては, 15aの水田を13区に分割し, 2移植期 (5月21日, 6月11日), 6窒素施肥水準 (0, 2, 4, 6, 8, 12 g/m2) を設けて3品種のイネ (日本晴, コシヒカリ,...
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| Published in | Japanese journal of crop science Vol. 58; no. 4; pp. 673 - 683 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English Japanese |
| Published |
日本作物学会
1989
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0011-1848 1349-0990 |
| DOI | 10.1626/jcs.58.673 |
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| Abstract | 作物の生育と収量に関する新しい推定手法として野外での分光反射測定がある。この測定により得られた作物の波長別反射係数間の相互演算結果 (VI) が, 葉面積指数, 光合成有効放射 (PAR) および同吸収率 (Fp), PAR日吸収量 (Sp), 地上部乾物量 (DM) および収量とどのように関係づけられるかを数式で提示し, これらを茨城県つくば市での実測データに適用してその有効性を検証した。植物材料としては, 15aの水田を13区に分割し, 2移植期 (5月21日, 6月11日), 6窒素施肥水準 (0, 2, 4, 6, 8, 12 g/m2) を設けて3品種のイネ (日本晴, コシヒカリ, シナノモチ) を栽培したものを供し, 10日ないし2週間隔で分光反射測定を行った。移植期から登熟期において, 収量ならびに積算Sp (ΣSp) はともに積算PVI (ΣPVI) の1次式で推定されることがわかった。PVIは赤および近赤外反射係数から算出されるVIである。またΣSpからDMへの転換効率 (ec) は移植期から出穂期20日までの期間で2.9 g DM/MJ, 移植期から収獲期までは2.5 g DM/MJだった。一方収量と出穂期のDM (DMh) とはr2=0.92の高い相関関係を示した。DMhと1100, 1650 nm反射係数間の差との相関関係は, PVIとのそれよりも密接であった。(r2=0.82および0.6 g) 。 |
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| AbstractList | 作物の生育と収量に関する新しい推定手法として野外での分光反射測定がある。この測定により得られた作物の波長別反射係数間の相互演算結果 (VI) が, 葉面積指数, 光合成有効放射 (PAR) および同吸収率 (Fp), PAR日吸収量 (Sp), 地上部乾物量 (DM) および収量とどのように関係づけられるかを数式で提示し, これらを茨城県つくば市での実測データに適用してその有効性を検証した。植物材料としては, 15aの水田を13区に分割し, 2移植期 (5月21日, 6月11日), 6窒素施肥水準 (0, 2, 4, 6, 8, 12 g/m2) を設けて3品種のイネ (日本晴, コシヒカリ, シナノモチ) を栽培したものを供し, 10日ないし2週間隔で分光反射測定を行った。移植期から登熟期において, 収量ならびに積算Sp (ΣSp) はともに積算PVI (ΣPVI) の1次式で推定されることがわかった。PVIは赤および近赤外反射係数から算出されるVIである。またΣSpからDMへの転換効率 (ec) は移植期から出穂期20日までの期間で2.9 g DM/MJ, 移植期から収獲期までは2.5 g DM/MJだった。一方収量と出穂期のDM (DMh) とはr2=0.92の高い相関関係を示した。DMhと1100, 1650 nm反射係数間の差との相関関係は, PVIとのそれよりも密接であった。(r2=0.82および0.6 g) 。 |
| Author | ウィーガンド, クレイグ 芝山, 道郎 秋山, 侃 山形, 与志樹 |
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| References | 5. Jackson, R. D., P. N. Slater and P. J. Pinter, Jr. 1983. Discrimination of growth and water stress in wheat by various vegetation indices through clear and turbid atmospheres. Remote Sens. Environ. 13 : 187-208. 18. Yamagata, Y., C. Wiegand, T. Akiyama, and M. Shibayama. 1988. Flood inundation and rice crop damage analyzed by multitemporal TM data. Int. Archives Photogramm. and Rem. Sens. 27 (7B) : 707-717. (Proc. 16th Int. Cong., Int. Soc. Photogramm. and Rem. Sens., Kyoto, Japan, July 1-10, 1988). 4. Horie, T. and T. Sakuratani 1985. Studies on crop-weather relationship model in rice. (1) Relation between absorbed solar radiation by the crop and dry matter production. J. Agric. Meteorol. 40 : 331-342. 17. Wiegand, C. L. and A. J. Richardson. 1987. Spectral components analysis. Rationale, and results for three crops. Int. J. Rem. Sens. 8 : 1011 - 1032. 14. Walraven, R. 1978. Calculating the position of the sun. Solar Energy 20 : 393 - 397. 15. Wiegand, C. L., A. J. Richardson, R. D. Jackson, P. J. Pinter, Jr., J. K. Aase, D. E. Smika, L. L. Lautenschlager and J. E. McMurtrey III. 1986. Development of agrometeorological crop model inputs from remotely sensed information. IEEE Trans. Geosci. and Remote Sens. GE-24 : 90-98. 7. Maas, S. J. 1988. Use of remotely-sensed information in agricultural crop growth models. Ecological Modelling 41 : 247-268. 10. Patel, N. K., T. P. Singh, B. Sahai and M. S. Patel 1983. Relationships between agronomic and spectral parameters in rice crop. p. 313-320 In Proc. Second Int. Colloquium, Spectral signatures of objects in remote sensing. Int. Soc. Photogramm. and Rem. Sens. (Bordeaux, France, Sept. 12-16, 1983). 11. Richardson, A. J. and C. L. Wiegand 1977. Distinguishing vegetation from soil background information. Photogramm. Engin. Rem. Sens. 43: 1541 - 1552. 16. Wiegand, C. L. and A. J. Richardson. 1984. Leaf area, light interception, and yield estimates from spectral components analysis. Agron. J. 76 : 543-548. 9. Murata, Y. 1975. Estimation and simulation of rice yield from climatic factors. Agric. Meteorol. 15 : 117-131. 12. Shibayama, M., C. Wiegand. T. Akiyama and Y. Yamagata 1988. Radiometric predictions for agronomic variables of rice canopies using a visible to mid-infrared spectroradiometer. Int. Archives Photogramm. and Rem. Sens. 27 (7B) : 508-517. (Proc. 16th Cong. Int. Soc. Photogramm. and Rem. Sens., Kyoto, Japan, July 1-10, 1988). 1. Asrar, G., M. Fuchs, E. T. Kanemasu and J. L. Hatfield 1984. Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat. Agron. J. 76 : 300-306. 3. Horie, T. 1987. A model for evaluating climatic productivity and water balance of irrigated rice and its application to southeast Asia. Tonan Ajia Kenkyu (Southeast Asian Studies) 25 : 62-74 8. Matsushima, S. 1979. Crop Science in RiceTheory of Yield Determination and Its Application. 5th Ed., Fuji Publishing Co., Tokyo, Japan. 6. Jackson, R. D., M. S. Moran, P. N. Slater and S. F. Biggar 1987. Field calibration of reference reflectance panels. Remote Sens. Environ. 22 : 145-158. 13. Shibayama, M. and T. Akiyama 1989. Seasonal visible and near-and mid-infrared spectra of rice canopies in relation to LAI and above-ground dry mass. Rem. Sens. Environ. 27 : 119-127. 2. Gallo, K. P., C. S. T. Daughtry and M. E. Bauer 1985. Spectral estimation of absorbed photosynthetically active radiation in corn canopies. Remote Sens. Environ. 17 : 221-232. |
| References_xml | – reference: 7. Maas, S. J. 1988. Use of remotely-sensed information in agricultural crop growth models. Ecological Modelling 41 : 247-268. – reference: 13. Shibayama, M. and T. Akiyama 1989. Seasonal visible and near-and mid-infrared spectra of rice canopies in relation to LAI and above-ground dry mass. Rem. Sens. Environ. 27 : 119-127. – reference: 5. Jackson, R. D., P. N. Slater and P. J. Pinter, Jr. 1983. Discrimination of growth and water stress in wheat by various vegetation indices through clear and turbid atmospheres. Remote Sens. Environ. 13 : 187-208. – reference: 16. Wiegand, C. L. and A. J. Richardson. 1984. Leaf area, light interception, and yield estimates from spectral components analysis. Agron. J. 76 : 543-548. – reference: 10. Patel, N. K., T. P. Singh, B. Sahai and M. S. Patel 1983. Relationships between agronomic and spectral parameters in rice crop. p. 313-320 In Proc. Second Int. Colloquium, Spectral signatures of objects in remote sensing. Int. Soc. Photogramm. and Rem. Sens. (Bordeaux, France, Sept. 12-16, 1983). – reference: 15. Wiegand, C. L., A. J. Richardson, R. D. Jackson, P. J. Pinter, Jr., J. K. Aase, D. E. Smika, L. L. Lautenschlager and J. E. McMurtrey III. 1986. Development of agrometeorological crop model inputs from remotely sensed information. IEEE Trans. Geosci. and Remote Sens. GE-24 : 90-98. – reference: 1. Asrar, G., M. Fuchs, E. T. Kanemasu and J. L. Hatfield 1984. Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat. Agron. J. 76 : 300-306. – reference: 9. Murata, Y. 1975. Estimation and simulation of rice yield from climatic factors. Agric. Meteorol. 15 : 117-131. – reference: 3. Horie, T. 1987. A model for evaluating climatic productivity and water balance of irrigated rice and its application to southeast Asia. Tonan Ajia Kenkyu (Southeast Asian Studies) 25 : 62-74 – reference: 14. Walraven, R. 1978. Calculating the position of the sun. Solar Energy 20 : 393 - 397. – reference: 12. Shibayama, M., C. Wiegand. T. Akiyama and Y. Yamagata 1988. Radiometric predictions for agronomic variables of rice canopies using a visible to mid-infrared spectroradiometer. Int. Archives Photogramm. and Rem. Sens. 27 (7B) : 508-517. (Proc. 16th Cong. Int. Soc. Photogramm. and Rem. Sens., Kyoto, Japan, July 1-10, 1988). – reference: 6. Jackson, R. D., M. S. Moran, P. N. Slater and S. F. Biggar 1987. Field calibration of reference reflectance panels. Remote Sens. Environ. 22 : 145-158. – reference: 17. Wiegand, C. L. and A. J. Richardson. 1987. Spectral components analysis. Rationale, and results for three crops. Int. J. Rem. Sens. 8 : 1011 - 1032. – reference: 18. Yamagata, Y., C. Wiegand, T. Akiyama, and M. Shibayama. 1988. Flood inundation and rice crop damage analyzed by multitemporal TM data. Int. Archives Photogramm. and Rem. Sens. 27 (7B) : 707-717. (Proc. 16th Int. Cong., Int. Soc. Photogramm. and Rem. Sens., Kyoto, Japan, July 1-10, 1988). – reference: 4. Horie, T. and T. Sakuratani 1985. Studies on crop-weather relationship model in rice. (1) Relation between absorbed solar radiation by the crop and dry matter production. J. Agric. Meteorol. 40 : 331-342. – reference: 2. Gallo, K. P., C. S. T. Daughtry and M. E. Bauer 1985. Spectral estimation of absorbed photosynthetically active radiation in corn canopies. Remote Sens. Environ. 17 : 221-232. – reference: 8. Matsushima, S. 1979. Crop Science in RiceTheory of Yield Determination and Its Application. 5th Ed., Fuji Publishing Co., Tokyo, Japan. – reference: 11. Richardson, A. J. and C. L. Wiegand 1977. Distinguishing vegetation from soil background information. Photogramm. Engin. Rem. Sens. 43: 1541 - 1552. |
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| Snippet | 作物の生育と収量に関する新しい推定手法として野外での分光反射測定がある。この測定により得られた作物の波長別反射係数間の相互演算結果 (VI) が, 葉面積指数, 光合成有... |
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| SubjectTerms | イネ スペクトルコンポーネント分析 リモートセンシング 光エネルギー転換効率 光合成有効放射吸収量 収量推定 純同化 |
| Title | 野外分光反射測定によるイネの生育と収量の推定 |
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