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    Effect of different water stresses on the yield and yield components of winter wheat
    (Cereal Res Inst, 2004) Baser, I; Sehirali, S; Orta, H; Erdem, T; Erdem, Y; Yorgancilar, Ö
    This study was carried out to determine the influence of water deficit on yield and yield components of winter wheat under Thrace conditions. Four wheat genotypes (MV-17, Flamura 85, Saraybosna and Kate-A-1) were grown under five different water stress. treatments during the 1998/1999 and 1999/2000 growing seasons. The water stress treatments were unstressed control (S-0), water stress at the late vegetative period (S-1), at the flowering period (S-2) at the grain formation period (S-3) and the full stress (non-irrigation S-4). The effects of water stress treatment on grain yield and yield components were statistically significant compared with nonstressed conditions. Grain yield under non-irrigated conditions was reduced approximately 40 %. Among the genotypes, MV-17 gave the highest grain yield.
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    Use of infrared thermometry for developing baseline equations and scheduling irrigation in wheat
    (Cereal Res Inst, 2004) Orta, AH; Baser, I; Sehirali, S; Erdem, T; Erdem, Y
    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.