Full TGIF Record # 290378
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Web URL(s):https://scisoc.confex.com/scisoc/2017am/webprogram/Paper105985.html
    Last checked: 10/13/2017
Publication Type:
i
Report
Content Type:Abstract or Summary only
Author(s):Roberson, Travis L.; Zhang, Chenxi; Ervin, Erik H.; McCall, David S.
Author Affiliation:Roberson: Plant Pathology, Physiology, and Weed Science, Virginia Tech, Blacksburg, VA; Zhang: Bayer CropScience, Clayton, NC; Ervin: CSES, Virginia Tech, Blacksburg, VA; McCall: Virginia Tech, Blacksburg, VA
Title:Unique methods for assessing water stress of Agrostis stolonifera and C. dactylon x C. transvaalensis
Section:C05 Turfgrass Science
Other records with the "C05 Turfgrass Science" Section

Turf nutrition, soils-rootzones and water quality (includes student competition)
Other records with the "Turf nutrition, soils-rootzones and water quality (includes student competition)" Section
Meeting Info.:Tampa, Florida: October 22-25, 2017
Source:ASA, CSSA and SSSA International Annual Meetings. 2017, p. 105985.
Publishing Information:[Milwaukee, Wisconsin]: [American Society of Agronomy and the Entomological Society of America]
# of Pages:1
Keywords:TIC Keywords: Normalized Difference Vegetation Index; Reflectance ratio meter; Remote sensing; Time domain reflectometers; Water conservation; Water stress
Abstract/Contents:"Water conservation is an important responsibility for today's golf course superintendents. Improvements are needed in our ability to accurately and efficiently monitor soil moisture stress. Time-domain reflectometry allows for precise and timely method for assessing irrigation needs. However, this method is time consuming and irrigation needs from unsampled locations may be missed. Researchers have attempted to estimate moisture stress by establishing relationships between soil moisture and remotely sensed data, including the normalized difference vegetation index (NDVI). However, NDVI is directly impacted by numerous stressors which limits its reliability for assessing soil moisture. An alternative water band index (WBI) is influenced by near infrared light absorption from the plant canopy. Previous research showed that WBI was most closely related to soil moisture stress of creeping bentgrass (CBG) grown on sand-based root zones. Subsequently, '007' CBG and 'Latitude 36' hybrid bermudagrass (HBG) grown on three varying soil textures (90:10 sand/peat, sand loam, and clay) were arranged in a 2 x 3 factorial design and replicated six times. Reflectance data was collected daily throughout dry-down cycles. The WBI was strongly correlated with soil moisture of CBG grown on all soils (r > 0.73), and with HBG grown on sand/peat and sand loam (r > 0.84) but not on clay. The WBI became more reliable as soil moisture decreased and particle size increased. Additionally, examination of algorithms known to predict abiotic stress and changes highlighting water absorption indicate other useful moisture stress assessments. However, these formulas require specialized equipment and currently have limited practical application. The WBIs potential to rapidly assess soil moisture needs will allow ongoing exploration to predict irrigation needs without interference from other stressors. Subsequent studies will investigate how WBI and related indices can be utilized to remotely sense large scale turf surfaces assessing moisture needs."
Language:English
References:0
Note:This item is an abstract only!
"58-4"
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Roberson, T. L., C. Zhang, E. H. Ervin, and D. S. McCall. 2017. Unique methods for assessing water stress of Agrostis stolonifera and C. dactylon x C. transvaalensis. Agron. Abr. p. 105985.
Fastlink to access this record outside TGIF: https://tic.msu.edu/tgif/flink?recno=290378
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    Last checked: 10/13/2017
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