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    PHYSIOLOGICAL RESPONSE OF TOMATO PLANTS UNDER DIFFERENT IRRIGATION LEVELS AND NUTRIENT CONCENTRATIONS IN GREENHOUSE
    (Univ Agriculture, Fac Veterinary Science, 2020) Ullah, Ikram; Mao Hanping; Shabbir, Abdul; Ullah, Muhammad Saif; Jabran, Khawar; Javed, Qaiser; Buttar, Noman Ali
    This study assessed the response of various water levels and concentration of nutrients on physiological characteristics of tomatoes under the greenhouse. The effects of various water levels as well as concentration of nutrients on the physiological characteristics of greenhouse tomatoes were discussed. Treatments consisted on five different levels of water based on crop evapotranspiration (ETC) as W-50%, W-75%, W-100%, W-125% and W-150%, and also five different levels of nutrient concentrations based on strength of Hoagland solution (X) as N-0.5X, N-0.75X, N-1.0X, N-1.5X and N-2.0X. The experiment was conducted during the Summer-Spring (SS) of 2015 and Fall-Winter (FW) of 2015-16. Deficit irrigation not only decreased photosynthetic rate (P-n), stomatal conductance (G(s)), and transpiration rate (T-r) of tomato but also down regulated the light-saturated net photosynthetic rate (P-n,P-max) from 6.18% to 11.38% and c indicating light use efficiency by 5.08% to 6.0% during SS and FW respectively. Increase in nutrients, enhanced the daily mean P. values up to 21.80 and 14.94 mu mol (CO2) m(2) s(-1) at N-1.5X during SS and FW, respectively. Addition of nutrients more than 1.5X did not significantly improve the photosynthetic performance. No significant difference was observed in P-n on 42nd DAT for T-6(W-125%-Ni-1.0X) and CR(W-100%-N-1.0X) but reduced significantly at subsequent measured days for CR. Considering only leaf gas exchange parameters, CR was found to be the optimal combination of water amount and nutrients concentration. Finally, interactive quadratic regression models were developed for P-n,P-max and epsilon to measure the water and nutrients needs from instantaneous values of P-n,P-max and epsilon. Our developed regression equations could be solved for momentarily estimation of water and nutrients.