Use of infrared thermometry for developing baseline equations and scheduling irrigation in wheat
dc.authorid | Ahi, Yeşim/0000-0003-4426-4094; | |
dc.authorwosid | Ahi, Yeşim/AAP-8985-2020 | |
dc.authorwosid | ERDEM, Tolga/F-6692-2011 | |
dc.contributor.author | Orta, AH | |
dc.contributor.author | Baser, I | |
dc.contributor.author | Sehirali, S | |
dc.contributor.author | Erdem, T | |
dc.contributor.author | Erdem, Y | |
dc.date.accessioned | 2024-06-12T10:58:53Z | |
dc.date.available | 2024-06-12T10:58:53Z | |
dc.date.issued | 2004 | |
dc.department | Trakya Üniversitesi | en_US |
dc.description.abstract | This study was conducted to develop baseline equations, which can be used to quantify crop water stress index (CWSI) for evaluating crop water stress in three winter wheat genotypes (Triticum aestivum L.) and to schedule irrigation and predict yield. Plants were grown under basin irrigation and subjected to five water treatments ranging from 100 to 0 (100, 75, 50, 25, 0 %) replacement of evapotranspirational losses within 0.90 m soil profile. The highest yield and water use was obtained under fully irrigated conditions (100 replenishment of soil water depleted). The lower (non-stressed) and upper (stressed) baselines were determined empirically from measurements of canopy and ambient air temperatures and vapour pressure deficit (VPD) on fully watered plants (100%) and under maximum water stress (0 %), respectively. The CWSI was determined by using the empirical approach for the five irrigation levels. The yield was directly correlated with the mean CWSI values and the linear equation for three genotypes (Saraybosna, Kate-A-1 and F-85), Y = 1463.3 - 1062.3 CWSI, Y = 1483.8 - 1052.8 CWSI and Y = 1701.8 - 1367.7 CWSI can be used for the yield prediction. CWSI values may also provide a valuable tool for monitoring water status and planning irrigation scheduling for wheat. | en_US |
dc.identifier.endpage | 370 | en_US |
dc.identifier.issn | 0133-3720 | |
dc.identifier.issue | 3 | en_US |
dc.identifier.startpage | 363 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.14551/20231 | |
dc.identifier.volume | 32 | en_US |
dc.identifier.wos | WOS:000224331800009 | en_US |
dc.identifier.wosquality | Q4 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.language.iso | en | en_US |
dc.publisher | Cereal Res Inst | en_US |
dc.relation.ispartof | Cereal Research Communications | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Crop Water Stress Index (CWSI) | en_US |
dc.subject | Irrigation Scheduling | en_US |
dc.subject | Canopy Temperature | en_US |
dc.subject | Vapour Pressure Deficit (VPD) | en_US |
dc.subject | Wheat | en_US |
dc.subject | Crop Water-Stress | en_US |
dc.subject | Canopy Temperature | en_US |
dc.subject | Winter-Wheat | en_US |
dc.subject | Index | en_US |
dc.title | Use of infrared thermometry for developing baseline equations and scheduling irrigation in wheat | en_US |
dc.type | Article | en_US |