الفهرس 
Assessment of climate change on tomato production under egyptian conditions
ABSTRACTOnly 14 pages are availabe for public view
 |  | from | 168 |  |  |
| | | from | 168 | | |
Abstract
The Egyptian processing tomato (Solanum Lycopersicon) has a major dominance in the global market but few studies have been conducted using a cropping systems analysis approach for this crop. The overall goal of this project was to evaluate the CropSyst (Cropping Systems Simulation) software with experiment data were taken from field experiment in summer season during two successive seasons (2014 and 2015) in Egypt, Giza, Dokki (Lat.: 29{u00B0}:51’:08.33 ”N, Long.: 31{u00B0}:14’:24.11”E ) The Experiment included two planting dates (April. 10 and April. 25) with three irrigation levels of waters (80% _ 100%_ 120%), in addition to two cultivars (superstrein B and Castle rock). The experiment included 36 experimental plots, 2 planting dates {u00D7} 3 irrigation levels {u00D7} 2 cultivars {u00D7} 3 replicates. The experimental plot area was 75 m2 and consisted of 5 rows with 150 cm width and 10 m length; and the space between plants was 30 cm. The experiment was established as factorial with three factors. The planting date was in the main plot, whereas the irrigation levels was in sub-plot, the cultivar was distributed in sub-sub-plot. Data analysis was done by an IBM computer, using Excel program for statistical analysis. The LSD among means for all treatments was tested for significance at 5% level. A comparison of yield for the different transplanting dates showed that earlier transplanting dates increased yield for all varieties, while there was a significant higher yield for superstrein B variety than Castle rock variety. The two summer seasons in 2014 and 2015 gave a significant difference between two transplanting date, with higher plant growth with the first transplanting date and with level irrigation (120 %). the data of this experiment (2014/15 season) was used to validate the CropSyst model. The treatments of the validation experiment composed of two tomato cultivars and three irrigation treatments. climate change scenarios A1B were used to assess the consequences of climate change on tomato yield in 2040