Abstract:
Wheat has historically been cultivated in Ethiopia using rain-fed agricultural system.
However, the practice of irrigated wheat production is a relatively recent development in the
country. Despite this shift, there has been a notable lack of research on the recommended
improved cultivars, nitrogen application rates, and irrigation frequencies specifically for
durum wheat in irrigated systems. Furthermore, the comparative benefits of irrigated versus
rain-fed production systems concerning durum wheat grain yield and quality have not been
extensively explored. To address these gaps, a series of studies were conducted at the Debre
Zeit Agricultural Research Center in Central Ethiopia. The primary objectives of these
studies were to assess the performance of durum wheat cultivars under both irrigated and
rain-fed production systems, to optimize recommended nitrogen rates for durum wheat
production and grain quality within rain-fed systems, to establish nitrogen fertilizer rates and
irrigation frequencies for improved durum wheat production and grain quality, to calibrate
and validate the DSSAT-CERES-Wheat model for simulating the growth and yield of selected
durum wheat cultivars under irrigation, and to evaluate the responsiveness of durum wheat
growth and yield to varying nitrogen rates and irrigation frequencies using this model. The
first experiment's findings revealed that the combined analysis of variance over multiple
years indicated that the cultivars significantly influenced both the yield and grain quality of
durum wheat in irrigated and rain-fed systems. In the irrigated environment, the cultivars Tesfaye, Mangudo, Utuba, Tate, and Hitosa achieved the highest grain yields. Conversely,
the highest protein content was found in the Bakalcha, Toltu, Bullalla, Fetan and Utuba
cultivars. In the rain-fed system, the cultivars Mangudo, Tesfaye, Utuba, Hitosa, and Tate
produced the greatest grain yields, while Bakalcha, Toltu, Bullalla, Feta and Utuba
demonstrated elevated grain protein content. A pair-wise T-test analysis further illustrated
that the irrigated system enhanced grain yield, biomass yield, thousand kernel weight, and
hectoliter weight by 40.9%, 36%, 25%, and 39%, respectively, when compared to the rainfed system. However, the rain-fed system exhibited superior values in protein content, gluten
content, gluten index, and SDS-sedimentation of durum wheat, relative to the irrigated
system. The second experiment focused on the impact of nitrogen rates on durum wheat
cultivars. The combined data analysis indicated that varying nitrogen fertilizer rates significantly influenced both the grain yield and quality of the cultivars. In the rain-fed
production system, increasing nitrogen rates from 0 to 138 kg N ha–1
led to improvements
across all measured parameters. The cost-benefit analysis indicated that a nitrogen
application rate of 92 kg N ha–1
is optimal for durum wheat production within the study area
and similar agro-climatic conditions. The third experiment examined the interaction between
nitrogen rates and irrigation intervals on durum wheat. Results showed that the interaction
significantly affected both grain yield and quality. Application rates of nitrogen from 0 to 138
kg N ha–1
improved all studied parameters across all irrigation intervals. Notably, the
highest average grain yield (6.9 t ha–1
) and biomass yield (16.35 t ha–1
) over two years were
achieved with the application of 138 kg N ha–1
at the I1 irrigation interval. The cost-benefit
analysis reiterated that a nitrogen application of 138 kg N ha–1
is the recommended rate for
durum wheat in irrigated systems in the study area and similar agro-climatic regions. In the
fourth experiment, the calibration and evaluation of the DSSAT- model for durum wheat
cultivars in an irrigated environment were conducted. This involved calibrating the model
with data from two years of field experiments (2018/19 and 2019/20) and evaluating it with
data from three additional years (2020/21, 2021/22, and 2022/23). The results indicated that
the normalized root mean square error (NRMSE) of the model ranged from 1.4 to 4.6 daysfor physiological maturity and from 5.4 to 9.3 kg ha–1
for grain yield, among other
parameters. These findings demonstrate that the model was successfully calibrated and
validated for durum wheat in central Ethiopia. The fifth experiment involved utilizing the
DSSAT v4.7.5 model to simulate durum wheat yield under varying nitrogen rates and
irrigation intervals in central Ethiopia. The evaluation incorporated nitrogen rates of 0, 46,
92, 138, and 184 kg ha–1
and three irrigation intervals (Irrigation-1, Irrigation-2, and
Irrigation-3). The evaluation results indicated a strong correlation between the simulated
and observed data, with percent NRMSE values ranging from 0.25 to 10%, 1.05 to 14%, and
1.65 to 23.01% under the respective irrigation intervals. Additional metrics, such as error
differences (ED) and indexes of agreement (d-stat), further validated the model's
performance. In conclusion, the DSSAT model has shown significant promise in accurately
simulating durum wheat yield in Central Ethiopia, providing valuable insights into the
potential impacts of various management practices and climate variations on durum wheat
production