| dc.contributor.author | Wang, Yichun | |
| dc.description.abstract | USGA-specified golf putting green rootzone is a highly managed. sand dominated turf system. As putting greens age. organic matter accumulation in the form or thatch and mat in the upper rootzone profile causes temporal and spatial changes in soil chemical properties. The objective of the first study was to characterize soil chemical properties in aging putting green rootzones. Four USGA-specified putting greens treated with l\VO rootzone mixtures (sand/peat at 80:20: sand/peat/soil at 80: 15:5) and two establishment fertilization regimes (controlled and accelerated) were constructed in sequential years. Samples were collected to a depth of 7.62 cm when the four putting greens were 6. 7. 8. and 9 years old. and were subdivided into 12 layers. The effects or root zone mixture. establishment fertilization regime. putting green age. and soil depth on total organic C. total N. potentially mineralizable N (PMN). cation exchange capacity (CFC). Electrical conductivity (EC). and pH were evaluated. The rootzone mixtures and establishment fcrtili1.ation regimes had no effect on soil chemical properties investigated saving EC. which was higher in sand/peat/soil rootzones. Total organic C. total N. PMN CEC. and EC decreased with soil depth whereas soil PH increased with soil depth. The interaction between putting green age and soil depth was significant for t'1tal N. CFC. and EC. The initial differences or soil chemical properties disappeared due to topdressing practice over a
period 0!'<1 yc,1rs at the top or the rootzones especially in the Oto 2 cm layer. The chemical properties of the original rootzone layers are affected by both the age of the putting greens and cultural practices.
Diffuse reflectance Fourier transform infrared (DRIFT) spectroscopy in the near infrared (NIR) (4000-10000 cm- 1) and mid -infrared (MIR) (600-4000 cm- 1) region in conjunction with partial least square regression (PLSR) is able to rapidly predict multiple soil properties from a single spectral scanning and is deemed as a promising surrogate for conventional analytical methods. In the second study. by using samples collected in the first study. calibration models were developed for total organic C. total N. CEC. EC. And pl I by regressing spectral results of DRIFT-NIR and -MIR with values determined by conventional methods. Results fix total organic C, total N, CFC and EC achieved R2 > 0.80. Mid infrared and NIR spectroscopy gave similar calibration accuracy for soil properties investigated. Based on rootzone mixture (sand/peat vs sand/peat/soil). Putting green age (6-yr-old vs 9-yr-old). and sampling depth (0-3.81 cm vs 3.81-7.62 cm). the whole sample set was further grouped into subsets. Satisfactory accuracy of MIR calibrations and mutual predictions was achieved with subsets of different rootzone mixtures and putting green ages. However. subsets separated by soil depth failed to be predicted with sufficient accuracy within the group. Results of the study verified the potential of using DRIFT-NIR and -MIR to predict soil chemical properties of sand-based turf soil through PLSR modeling: however. model robustness might be affected by sampling depth. | en_US |
| dc.publisher | North Dakota State University | en_US |
| dc.rights | NDSU policy 190.6.2 | en_US |
| dc.title | Soil Chemical Properties of Sand-based C,olf Putting Green at Different Depths | en_US |
| dc.type | Thesis | en_US |
| dc.date.accessioned | 2024-01-03T21:51:21Z | |
| dc.date.available | 2024-01-03T21:51:21Z | |
| dc.date.issued | 2010 | |
| dc.identifier.uri | https://hdl.handle.net/10365/33545 | |
| dc.subject.lcsh | Golf courses -- Maintenance. | en_US |
| dc.subject.lcsh | Sandy soils. | en_US |
| dc.subject.lcsh | Soil chemistry. | en_US |
| dc.rights.uri | https://www.ndsu.edu/fileadmin/policy/190.pdf | en_US |
| ndsu.degree | Master of Science (MS) | en_US |
| ndsu.college | Agriculture, Food Systems and Natural Resources | en_US |
| ndsu.department | Plant Sciences | en_US |
| ndsu.program | Plant Sciences | en_US |
| ndsu.advisor | Li, Deying | |
