Vertaile menetelmiä
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| Klorofyllin fluoresenssi× | Kasvintuotantomallit (DSSAT/APSIM)× | |
|---|---|---|
| Tieteenala | Agronomia | Agronomia |
| Menetelmäperhe | Process / pipeline | Process / pipeline |
| Syntyvuosi≠ | 1931-2004 | 1993-2003 |
| Kehittäjä≠ | Hans Kautsky, Ulrich Schreiber, Reto J. Strasser | James W. Jones, Gerbrand T. Hoogenboom (DSSAT); Brian A. Keating, Peter S. Carberry (APSIM) |
| Tyyppi≠ | Non-invasive photosynthetic measurement | Mechanistic crop simulation pipeline |
| Alkuperäislähde≠ | Kautsky, H., & Hirsch, A. (1931). Neue Versuche zur Klärung der Assimilationstätigkeit. Naturwissenschaften, 19(48), 964-964. link ↗ | Jones, J. W., Hoogenboom, G., Porter, C. H., et al. (2003). The DSSAT cropping system model. European Journal of Agronomy, 18(3-4), 235-265. DOI ↗ |
| Rinnakkaisnimet≠ | Fluorescence, Fv/Fm, OJIP curve, PAM fluorometry | DSSAT, APSIM, Crop Simulation Model |
| Liittyvät | 3 | 3 |
| Tiivistelmä≠ | Chlorophyll fluorescence is a non-invasive optical measurement of how efficiently the photosynthetic machinery converts absorbed light into chemical energy (photosynthesis) or heat and light (fluorescence). When photosynthesis is inhibited by stress (drought, cold, salt, pests), chlorophyll fluorescence increases because excitation energy cannot be used for photosynthesis and must be released as light or heat. Fluorescence parameters (Fv/Fm, OJIP curves) act as sensitive, rapid indicators of photosynthetic stress, enabling early detection of plant dysfunction before visible symptoms appear. | Crop growth models are mechanistic simulation systems designed to predict crop development, biomass accumulation, and yield under varying environmental and management conditions. DSSAT (Decision Support System for Agrotechnology Transfer) and APSIM (Agricultural Production Systems Simulator) are the most widely used platforms, developed in the 1990s-2000s to support agronomic decision-making and climate adaptation research. |
| ScholarGateAineisto ↗ |
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