Light optimization assessment in alleycropping systems through model application is becoming an integral part of agroforestry research. The objective of this study was to use CROPGRO-cotton, a process-based model, to simulate cotton (Gossypium hirsutum L.) production under different levels of light in a pecan (Carya illinoensis K. Koch) alleycropping system in Jay, Florida, USA. Soil classification in the area was Red Bay sandy loam soil (Rhodic Paleudult). To separate roots of cotton and pecan, polyethylene-lined trenches were installed parallel to tree rows, thus competition for water and nutrients was assumed to be non-existent. Four treatments were set up in the CROPGRO-cotton model, as follows: (1) control (full amount of light transmittance), (2) Row 1 (50% light transmittance), (3) Row 4 (55% light transmittance), and (4) Row 8 (70% light transmittance). Cotton model parameters affecting specific leaf area (SLA), leaf area index (LAI), maximum leaf photosynthetic rate (FLMAX) and carbon partitioning were calibrated using the full sun treatment. Measurements of SLA, LAI, and aboveground biomass were made on the different shaded treatments and compared with simulated values. Simulation results showed that aboveground mechanisms affecting production in shaded environment (i.e., SLA, LAI, LFMAX, and carbon partitioning) influence model behavior. After calibration, the model predicted SLA of cotton in all treatments with reasonable precision. However, LAI was underestimated in the more shaded treatment rows 4 and 8. Generally, the model provided a close agreement between measured and simulated biomass both in 2001 and 2002 (R 2 = 0.95 and R 2 = 0.92, respectively). In 2001, predicted biomass for the control was 5,401 kg ha-1 compared to the measured value of 5,393 kg ha -1. A similar trend was also observed in 2002. The CROPGRO-Cotton model was able to describe variations in growth among the shaded treatments well across both growing seasons. However, it was found that additional research is needed to improve the model's ability to simulate LAI under shading conditions. Parameters associated with photosynthesis and dry matter partitioning were reasonably stable across shading treatments and years but those associated with leaf area growth varied.
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Acknowledgments Special thanks are extended to the simulation modeling group of the Agricultural and Biological Engineering Department, University of Florida, especially to Dr. Carlos Messina, McNair Bostick and Valerie Walen for their helpful input in running the model. Field and laboratory help extended by Jeremy Monnot, Cathy Hardin, Leah McCue, Doug Hatfield and Joe Nelson is greatly appreciated. This study was funded in part by the Center of Subtropical Agroforestry (CSTAF) at the University of Florida through USDA-CSREES Grant 00-52103-9702, and also by the USDA Southern Region Sustainable Agriculture Research and Education (SARE) program (# LS02-136).
- Aboveground biomass
- Leaf area index
- Light transmittance
- Specific leaf area