Evaluation of a crop water stress index for irrigation scheduling of bermudagrass

被引:47
作者
Emekli, Yasar [1 ]
Bastug, Ruhi [1 ]
Buyuktas, Dursun [1 ]
Emekli, Nefise Yasemin [1 ]
机构
[1] Akdeniz Univ, Fac Agr, Dept Farm Struct & Irrigat, TR-07059 Antalya, Turkey
关键词
bermudagrass; infrared thermometer; CWSI; irrigation scheduling;
D O I
10.1016/j.agwat.2007.03.008
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
This study was conducted to assess crop water stress index (CWSI) of bermudagrass used widely on the recreational sites of the Mediterranean Region and to study the possibilities of utilization of infrared thermometry to schedule irrigation of bermudagrass. Four different irrigation treatments were examined: 100% (11), 75% (12), 50% (13), and 25% (14) of the evaporation measured in a Class A pan. in addition, a non-irrigated treatment was set up to determine CWSI values. The status of soil water content and pressure was monitored using a neutron probe and tensiometers. Meanwhile the canopy temperature of bermudagrass was measured with the infrared thermometry. The empirical method was used to compute the CWSI values. In this study, the visual quality of bermudagrass was monitored seasonally using a color scale. The best visual quality was obtained from 11 and 12 treatments. Average seasonal CWSI values were determined as 0.086, 0.102, 0.165, and 0.394 for 11, 12,13, and 14 irrigation treatments, respectively, and 0.899 for non-irrigated plot. An empirical nonlinear equation, Q(ave) = 1 + [6 [1 + (4.853 CWSave)(2.27)](-0.559)], was deduced by fitting to measured data to find a relation between quality and average seasonal CWSI values. It was concluded that the CWSI could be used as a criterion for irrigation timing of bermudagrass. An acceptable color quality could be sustained seasonally if the CWSI value can be kept about 0.10. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:205 / 212
页数:8
相关论文
共 45 条
[1]   A crop water stress index for tall fescue (Festuca arundinacea Schreb,) irrigation decision-making -: a traditional method [J].
Al-Faraj, A ;
Meyer, GE ;
Horst, GL .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2001, 31 (02) :107-124
[2]   Use of crop water stress index for monitoring water status and scheduling irrigation in wheat [J].
Alderfasi, AA ;
Nielsen, DC .
AGRICULTURAL WATER MANAGEMENT, 2001, 47 (01) :69-75
[3]  
ALLEN RG, 1998, 56 FAO, P299
[4]  
Alves I, 1998, T ASAE, V41, P345, DOI 10.13031/2013.17184
[5]   Non-water-stressed baselines for irrigation scheduling with infrared thermometers: A new approach [J].
Alves, I ;
Pereira, LS .
IRRIGATION SCIENCE, 2000, 19 (02) :101-106
[6]  
[Anonymous], 1992, TURFGRASS
[7]  
ARLSAN M, 2004, AKD U ZIR FAK DERGIS, V17, P31
[8]   A new approach to infrared thermometry [J].
Baker, JM ;
Noman, JM ;
Kano, A .
AGRICULTURAL AND FOREST METEOROLOGY, 2001, 108 (04) :281-292
[9]   The effects of different irrigation levels applied in golf courses on some quality characteristics of turfgrass [J].
Bastug, R ;
Buyuktas, D .
IRRIGATION SCIENCE, 2003, 22 (02) :87-93
[10]   Growth responses and performance of Kentucky bluegrass under summer stress [J].
Bonos, SA ;
Murphy, JA .
CROP SCIENCE, 1999, 39 (03) :770-774