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Title: Using Prediction Models to Evaluate the Effect of Potassin-p on Barley Grain Yield Grown under Water Stress Conditions
Authors: S.A. Ouda; S. El-ashry ; M.A. El-kholy
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Abstract:Two field experiments were conducted on six barely cultivars (Hordeum vulgare L.) i.e. Giza 123,
Giza 125, Giza 126, Giza 129, Giza 130 and Giza 2000 to assess the impact of pottasin-P on barley grain yield under
water shortage conditions and to develop different models to predict grain barely yield. The obtained results
proved that grain yield was reduced as a result of skipping t he last irrigation in all cultivars. However,
a noticeable improvement was observed in grain yield due to the application of potassin-P under water stress
conditions. Furthermore, the application of potassin-P under water stress conditions proved to be effective in
increasing N, P, and K percentage in barley grain in all tested cultivars. Higher correlation coefficients between
yield components and grain yield of hull-less cultivars were observed, compared with the one between yield
components and grain yield of hulled cultivars, which consequently reflected by the ability of hull-less cultivars
to withstand adverse growth conditions. Three models were developed to predict grain yield for both hulled
and hull-less cultivars. Each model contains three equations representing the three treatments. These models
were compared for its precision using R2 and SE%. Percent difference between actual and predicted grain yield
for the above mentioned models was low. The developed models could be a useful decision-making tool to
attain early grain yield prediction in barley. However, using temperature and relative humidity as predictors
could limit the applicability of these models to other sites than South Delta region