A Yield-Stress model was calibrated and validated for maize yield and consumptive use data using ... more A Yield-Stress model was calibrated and validated for maize yield and consumptive use data using a three-year field trial at Beni Sweif governorate, Middle Egypt under two treatments of water quality (fresh and agricultural drainage irrigation) and two irrigation treatments of water quantity (required and excess irrigation). The goodness of fit between measured and predicted values by the model was tested by calculating the percentage difference between measured and predicted values of yield and consumptive use, in addition to root mean squared error per observation and Willmott index of agreement. Then, the model was used to predict the effect of three deficit irrigation treatments (skipping the last irrigation, and 80 and 70% of full required irrigation or 80 and 60% of full excess irrigation). Water productivity was calculated in all cases. The results showed that the model performance was highly acceptable in predicting maize yield and consumptive use. Low yield losses occurred under both fresh and agricultural drainage irrigation water as a result of 30 and 40% irrigation water saving under required and excess irrigation, respectively. Water productivity gradually increased under all deficit irrigation treatments, which suggested that there is a high potentiality to save an ample amount of irrigation water to be used in cultivating more lands.
Two field experiments were carried out at Giza Agricultural Research Station, Agricultural Resear... more Two field experiments were carried out at Giza Agricultural Research Station, Agricultural Research Center, Egypt during 2004 and 2005 growing seasons to simulate the effect of imposing water stress on the yield of two maize hybrids (TWC 310 and TWC 324) planted under four different irrigation intervals i.e. irrigation every seven days, irrigation every seven days until silking then irrigation every two weeks, irrigation every two weeks until silking then irrigation every seven days, and irrigation every two weeks during the whole season. "Yield-Stress" model was used to predict the effect of reducing 20% and 30% of applied irrigation water on maize yield and water consumptive use. The model accuracy was tested by calculating percent difference between actual and predicted yield, root mean square error (RMSE) and Willmott index of agreement. The model prediction showed high accuracy, where percent differences between actual and predicted yield were either low or zero. Furt...
Two field experiments were conducted during the two successive seasons of 2004/05 and 2005/06 at ... more Two field experiments were conducted during the two successive seasons of 2004/05 and 2005/06 at the Agricultural Experimental Station of National Research Centre, Shalakan, Kalubia Governorate, Egypt to predict the effect of two yield stabilizing agents (magnesium carbonate and sodium salicylate) on barley yield and water use efficiency under skipping the last irrigation. Four hulled barley cultivars were used i.e. Giza 123, Giza 125, Giza 126, and Giza 2000, in addition to, two hull-less barley cultivars i.e. Giza 129 and Giza 130. Magnesium carbonate or sodium salicylate was sprayed twice during vegetative growth and the last irrigation was skipped. At heading, number of tillers/plant, number of spikes/plant and plant height were measured. Furthermore, at harvest, grain yield, straw yield and biological yield were determined. Data for mean temperature and relative humidity were collected from planting date to heading date and averaged over the two growing seasons. Simple correlat...
A field experiment was executed to study the influence of salinity , antioxidant application and ... more A field experiment was executed to study the influence of salinity , antioxidant application and cultivars on plant yield . Prediction equations were developed and used to predict sunflower yield under two levels of soil salinity(4.7dSm-1 and 12.8dSm- 1 ) in addition to application of three types of antioxidants ( ascorbic, salicylic and oxalic acids ). Also models were used to predict sunflower yield when increasing the concentration of antioxidants up to 300 ppm . Furthermore models were used to reduce the harm effect of salinity and improve sunflower potential yield by increasing the amount of irrigation water by 10%, reducing soil pH by 0.3 through applying organic manure either using the same amount of irrigation water or conserving some . The results showed that sunflower yield was highly reduced under saline soil , although spraying plants with antioxidants especially oxalic acid was helpful in improving plant yield but was still lower than optimum. Modeling also proved that ...
ABSTRACT This study was carried out to predict the role of two yield stabilizing agents (magnesiu... more ABSTRACT This study was carried out to predict the role of two yield stabilizing agents (magnesium carbonate and sodium salicylate) on barley yield under water stress condition. Four hulled barley cultivars and two hull-less were sprayed with magnesium carbonate or sodium salicylate twice during vegetative growth and the last irrigation was skipped. Different growth and yield parameters were measured for five bordered plants. Data for mean temperature and relative humidity % were collected and averaged over the two growing seasons. Three groups of prediction equations were developed. The first group is an overall of the six barley cultivars prediction equations under the above mentioned treatments using plant attributes and weather parameters. The second group predicted barley yield over all the normal (hulled) cultivars only. The third group predicted barley yield over the two hull-less barley cultivars. Results indicated that the highest reduction in yields as result of skipping the last irrigation were obtained by Giza 126. Whereas, the lowest reduction in biological yields were obtained by the two hull-less cultivars. The application of magnesium carbonate had better effect on the yield of barley cultivars than the application of sodium salicylate. Results also showed that both temperature and relative humidity % were highly and negatively correlated with barley yields. The three yield attributes were positively correlated with barley grain, straw and biological yields, except for plant height, which was negatively correlated with grain yield. All the three developed groups of prediction equations had high degree of precision because R2 was high and SE% was low. Thus, it allowed us to predicted the expected yield under optimum conditions, under water stress and under the application of yield stabilizing agents, in addition to water stress. Furthermore, percent reduction in yield as a result of skipping the last irrigation and the improvement in yield as a result the application of yield stabilizing agents were estimated too.
Chilean journal of agricultural research, Sep 1, 2010
Se usó un calendario de riego para aumentar la productividad del agua en rotación trigo (Triticum... more Se usó un calendario de riego para aumentar la productividad del agua en rotación trigo (Triticum aestivum L.)-maíz (Zea mays L.) en condiciones de dos escenarios de cambio climático. Tres variedades de trigo y dos híbridos de maíz se plantaron en un experimento de campo de 2 años. Se calibró el modelo CropSyst y se validó para los datos de campo colectados, luego se usó para evaluar el impacto de dos escenarios de cambio climático (A2 y B2) y tres estrategias de adaptación (siembra temprana, calendario de riego e ...
Innovative approaches need to be adapted to management of such fragile resources under rain fed c... more Innovative approaches need to be adapted to management of such fragile resources under rain fed conditions in Egypt.
The effect of climate change on wheat grown under sprinkler irrigation was studied using previous... more The effect of climate change on wheat grown under sprinkler irrigation was studied using previous data of two growing seasons (2008/09 and 2009/10); these data were used to calibrate CropSyst model.
Furthermore, a field experiment was conducted at El-Giza Governorate in 2010/11 growing season; the data of this experiment (2010/11 season) was used to validate the CropSyst model. The treatments of the validation experiment composed of two wheat cultivars (Sakha 93 and Giza 168) and four irrigation treatments (0.6, 0.8, 1.0 and 1.2 of ETc). Two climate change scenarios (A2 and B2) were used to assess the consequences of climate change on wheat yield in 2060. A new irrigation schedule developed by Basic Irrigation Schedule (BIS) model
was used to improve water productivity under climate change conditions. The results showed that CropSyst model was able to predict wheat yield with high degree of accuracy for both calibration and validation procedures. The results also indicated that, in general, the yield of both cultivars will be decrease under climate change; however the reduction was lower for Sakha 93, as compared with Giza 168. The application of the new irrigation schedule under climate change conditions increased water productivity under the two climate change scenarios, compared with irrigation amount resulted from 0.8, 1.0 and 1.2 of ETc, for both wheat cultivars. Moreover, Sakha 93 gave the highest water productivity. Our results suggested that if we want to reduce yield losses for wheat under climate change conditions and increase water productivity, Sakha 93 should be cultivated and BIS model should be used to schedule irrigation.
A Yield-Stress model was calibrated and validated for maize yield and consumptive use data using ... more A Yield-Stress model was calibrated and validated for maize yield and consumptive use data using a three-year field trial at Beni Sweif governorate, Middle Egypt under two treatments of water quality (fresh and agricultural drainage irrigation) and two irrigation treatments of water quantity (required and excess irrigation). The goodness of fit between measured and predicted values by the model was tested by calculating the percentage difference between measured and predicted values of yield and consumptive use, in addition to root mean squared error per observation and Willmott index of agreement. Then, the model was used to predict the effect of three deficit irrigation treatments (skipping the last irrigation, and 80 and 70% of full required irrigation or 80 and 60% of full excess irrigation). Water productivity was calculated in all cases. The results showed that the model performance was highly acceptable in predicting maize yield and consumptive use. Low yield losses occurred under both fresh and agricultural drainage irrigation water as a result of 30 and 40% irrigation water saving under required and excess irrigation, respectively. Water productivity gradually increased under all deficit irrigation treatments, which suggested that there is a high potentiality to save an ample amount of irrigation water to be used in cultivating more lands.
Two field experiments were carried out at Giza Agricultural Research Station, Agricultural Resear... more Two field experiments were carried out at Giza Agricultural Research Station, Agricultural Research Center, Egypt during 2004 and 2005 growing seasons to simulate the effect of imposing water stress on the yield of two maize hybrids (TWC 310 and TWC 324) planted under four different irrigation intervals i.e. irrigation every seven days, irrigation every seven days until silking then irrigation every two weeks, irrigation every two weeks until silking then irrigation every seven days, and irrigation every two weeks during the whole season. "Yield-Stress" model was used to predict the effect of reducing 20% and 30% of applied irrigation water on maize yield and water consumptive use. The model accuracy was tested by calculating percent difference between actual and predicted yield, root mean square error (RMSE) and Willmott index of agreement. The model prediction showed high accuracy, where percent differences between actual and predicted yield were either low or zero. Furt...
Two field experiments were conducted during the two successive seasons of 2004/05 and 2005/06 at ... more Two field experiments were conducted during the two successive seasons of 2004/05 and 2005/06 at the Agricultural Experimental Station of National Research Centre, Shalakan, Kalubia Governorate, Egypt to predict the effect of two yield stabilizing agents (magnesium carbonate and sodium salicylate) on barley yield and water use efficiency under skipping the last irrigation. Four hulled barley cultivars were used i.e. Giza 123, Giza 125, Giza 126, and Giza 2000, in addition to, two hull-less barley cultivars i.e. Giza 129 and Giza 130. Magnesium carbonate or sodium salicylate was sprayed twice during vegetative growth and the last irrigation was skipped. At heading, number of tillers/plant, number of spikes/plant and plant height were measured. Furthermore, at harvest, grain yield, straw yield and biological yield were determined. Data for mean temperature and relative humidity were collected from planting date to heading date and averaged over the two growing seasons. Simple correlat...
A field experiment was executed to study the influence of salinity , antioxidant application and ... more A field experiment was executed to study the influence of salinity , antioxidant application and cultivars on plant yield . Prediction equations were developed and used to predict sunflower yield under two levels of soil salinity(4.7dSm-1 and 12.8dSm- 1 ) in addition to application of three types of antioxidants ( ascorbic, salicylic and oxalic acids ). Also models were used to predict sunflower yield when increasing the concentration of antioxidants up to 300 ppm . Furthermore models were used to reduce the harm effect of salinity and improve sunflower potential yield by increasing the amount of irrigation water by 10%, reducing soil pH by 0.3 through applying organic manure either using the same amount of irrigation water or conserving some . The results showed that sunflower yield was highly reduced under saline soil , although spraying plants with antioxidants especially oxalic acid was helpful in improving plant yield but was still lower than optimum. Modeling also proved that ...
ABSTRACT This study was carried out to predict the role of two yield stabilizing agents (magnesiu... more ABSTRACT This study was carried out to predict the role of two yield stabilizing agents (magnesium carbonate and sodium salicylate) on barley yield under water stress condition. Four hulled barley cultivars and two hull-less were sprayed with magnesium carbonate or sodium salicylate twice during vegetative growth and the last irrigation was skipped. Different growth and yield parameters were measured for five bordered plants. Data for mean temperature and relative humidity % were collected and averaged over the two growing seasons. Three groups of prediction equations were developed. The first group is an overall of the six barley cultivars prediction equations under the above mentioned treatments using plant attributes and weather parameters. The second group predicted barley yield over all the normal (hulled) cultivars only. The third group predicted barley yield over the two hull-less barley cultivars. Results indicated that the highest reduction in yields as result of skipping the last irrigation were obtained by Giza 126. Whereas, the lowest reduction in biological yields were obtained by the two hull-less cultivars. The application of magnesium carbonate had better effect on the yield of barley cultivars than the application of sodium salicylate. Results also showed that both temperature and relative humidity % were highly and negatively correlated with barley yields. The three yield attributes were positively correlated with barley grain, straw and biological yields, except for plant height, which was negatively correlated with grain yield. All the three developed groups of prediction equations had high degree of precision because R2 was high and SE% was low. Thus, it allowed us to predicted the expected yield under optimum conditions, under water stress and under the application of yield stabilizing agents, in addition to water stress. Furthermore, percent reduction in yield as a result of skipping the last irrigation and the improvement in yield as a result the application of yield stabilizing agents were estimated too.
Chilean journal of agricultural research, Sep 1, 2010
Se usó un calendario de riego para aumentar la productividad del agua en rotación trigo (Triticum... more Se usó un calendario de riego para aumentar la productividad del agua en rotación trigo (Triticum aestivum L.)-maíz (Zea mays L.) en condiciones de dos escenarios de cambio climático. Tres variedades de trigo y dos híbridos de maíz se plantaron en un experimento de campo de 2 años. Se calibró el modelo CropSyst y se validó para los datos de campo colectados, luego se usó para evaluar el impacto de dos escenarios de cambio climático (A2 y B2) y tres estrategias de adaptación (siembra temprana, calendario de riego e ...
Innovative approaches need to be adapted to management of such fragile resources under rain fed c... more Innovative approaches need to be adapted to management of such fragile resources under rain fed conditions in Egypt.
The effect of climate change on wheat grown under sprinkler irrigation was studied using previous... more The effect of climate change on wheat grown under sprinkler irrigation was studied using previous data of two growing seasons (2008/09 and 2009/10); these data were used to calibrate CropSyst model.
Furthermore, a field experiment was conducted at El-Giza Governorate in 2010/11 growing season; the data of this experiment (2010/11 season) was used to validate the CropSyst model. The treatments of the validation experiment composed of two wheat cultivars (Sakha 93 and Giza 168) and four irrigation treatments (0.6, 0.8, 1.0 and 1.2 of ETc). Two climate change scenarios (A2 and B2) were used to assess the consequences of climate change on wheat yield in 2060. A new irrigation schedule developed by Basic Irrigation Schedule (BIS) model
was used to improve water productivity under climate change conditions. The results showed that CropSyst model was able to predict wheat yield with high degree of accuracy for both calibration and validation procedures. The results also indicated that, in general, the yield of both cultivars will be decrease under climate change; however the reduction was lower for Sakha 93, as compared with Giza 168. The application of the new irrigation schedule under climate change conditions increased water productivity under the two climate change scenarios, compared with irrigation amount resulted from 0.8, 1.0 and 1.2 of ETc, for both wheat cultivars. Moreover, Sakha 93 gave the highest water productivity. Our results suggested that if we want to reduce yield losses for wheat under climate change conditions and increase water productivity, Sakha 93 should be cultivated and BIS model should be used to schedule irrigation.
This book includes multi-disciplinary quantifications of the effect of climate change on water re... more This book includes multi-disciplinary quantifications of the effect of climate change on water requirements of wheat, maize, rice and sugarcane. Furthermore, it provides on-farm management that faces water scarcity under current situation and under climate change. Changing cultivation method (raised beds instead of furrows or basins) or increasing irrigation application efficiency (sprinkler or drip systems instead of surface irrigation) can reduce the applied water. Irrigated agriculture, although profitable, it endures wasteful use of valuable water resources. Taking into account the risk of climate change, developing countries like Egypt will highly suffer. Furthermore, the effect of intercropping (two crops use the applied water to one of them), and/or using crop rotations (arrange crops to reduce the applied water, increase water productivity and sustain soil fertility) on production and consumed irrigation water by crops were comprehensively analyzed.
Uploads
Papers by Samiha Ouda
Furthermore, a field experiment was conducted at El-Giza Governorate in 2010/11 growing season; the data of this experiment (2010/11 season) was used to validate the CropSyst model. The treatments of the validation experiment composed of two wheat cultivars (Sakha 93 and Giza 168) and four irrigation treatments (0.6, 0.8, 1.0 and 1.2 of ETc). Two climate change scenarios (A2 and B2) were used to assess the consequences of climate change on wheat yield in 2060. A new irrigation schedule developed by Basic Irrigation Schedule (BIS) model
was used to improve water productivity under climate change conditions. The results showed that CropSyst model was able to predict wheat yield with high degree of accuracy for both calibration and validation procedures. The results also indicated that, in general, the yield of both cultivars will be decrease under climate change; however the reduction was lower for Sakha 93, as compared with Giza 168. The application of the new irrigation schedule under climate change conditions increased water productivity under the two climate change scenarios, compared with irrigation amount resulted from 0.8, 1.0 and 1.2 of ETc, for both wheat cultivars. Moreover, Sakha 93 gave the highest water productivity. Our results suggested that if we want to reduce yield losses for wheat under climate change conditions and increase water productivity, Sakha 93 should be cultivated and BIS model should be used to schedule irrigation.
Furthermore, a field experiment was conducted at El-Giza Governorate in 2010/11 growing season; the data of this experiment (2010/11 season) was used to validate the CropSyst model. The treatments of the validation experiment composed of two wheat cultivars (Sakha 93 and Giza 168) and four irrigation treatments (0.6, 0.8, 1.0 and 1.2 of ETc). Two climate change scenarios (A2 and B2) were used to assess the consequences of climate change on wheat yield in 2060. A new irrigation schedule developed by Basic Irrigation Schedule (BIS) model
was used to improve water productivity under climate change conditions. The results showed that CropSyst model was able to predict wheat yield with high degree of accuracy for both calibration and validation procedures. The results also indicated that, in general, the yield of both cultivars will be decrease under climate change; however the reduction was lower for Sakha 93, as compared with Giza 168. The application of the new irrigation schedule under climate change conditions increased water productivity under the two climate change scenarios, compared with irrigation amount resulted from 0.8, 1.0 and 1.2 of ETc, for both wheat cultivars. Moreover, Sakha 93 gave the highest water productivity. Our results suggested that if we want to reduce yield losses for wheat under climate change conditions and increase water productivity, Sakha 93 should be cultivated and BIS model should be used to schedule irrigation.