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and 2017 summer seasons to study the effect of water deficit on growth, yield and quality of seed of 12 soybean genotypes. Water deficit regimes were applied at 15 (recommended regime), 20 and 25 days intervals. The results of combined analysis showed significant effects of soybean genotypes, irrigation regimes and their interactions on the studied traits. Water deficit significantly decreased 100-seed weight and seed yield/feddan in both seasons. Irrigation intervals significantly influenced seed quality traits such as oil, protein, germination percentage and electrical conductivity. The 20 days interval regime resulted in high 100-seed weight and seed yield, while the 25 days interval regime gave lower values in this respect. The percentage of oil and protein of seeds was significantly affected by water deficit, where there was a decrease in seed oil and an increase in protein content. Water deficit significantly decreased dry matter accumulation, leaf area index, crop growth rate, net assimilation rate and chlorophyll content in leaves, while relative water content and proline were significantly increased. The commercial cultivar Giza 111 produced high 100 seed weight (19.84 g) and seed yield (2.183 t/fed), followed by H14L8. On the other hand, seed germination (%) was decreased with increasing water deficit, while seed conductivity (vigor test) was increased. Giza111 showed high seed germination percentage over all irrigation regimes with (87.1%) as an average, whereas Toano gave low seed germination percentage (73.2%). Generally, the genotype Giza111 is the most suitable genotype under the different irrigation regimes, whereas 416937 and DR 101 genotypes could be useful for soybean breeding program for water deficit tolerance.

Water shortage is one of the most serious challenges in crop production particularly under current climatic change. The study aims to compare the performance of 16 barley genotypes under three irrigation treatments to identify the drought tolerant and sensitive genotypes. In addition, to study the genetic variability and heritability of the major agronomic traits under water deficit and normal irrigation conditions. Two field experiments were carried out at Kafr El-Hamam Research Station, Zagazig, Agricultural Research Center during winter sowing seasons of 2014-2015 and 2015-2016. Three irrigation treatments were used; irrigation once at sowing (T1), twice at sowing and 30 days later (T2) and thrice at sowing, 30 and 60 days after sowing, respectively (T3), using surface irrigation. All investigated traits were affected significantly by irrigation treatments. The genotypes G6, G8, G9, G10, G11, G12, G14 and G15 displayed the highest grain yield and its components at all irrigation treatments. Furthermore, four drought tolerance indices were calculated based on grain yield under stress and non-stress conditions, i.e., mean productivity (MP), geometric mean productivity (GMP), stress tolerance index (STI) and yield index (YI). It was found that G10 exhibited the highest values in the four indices followed by G14, G9, G8 and G13. On the other hand, the lowest value was presented by G4 followed by G1, G7 and G3. The cluster analysis classified the genotypes based on the tolerance indices into four groups. The first group (A) presented G10, which had the highest tolerance indices and it was considered as highly drought tolerant genotype. Moreover, group B presented G8, G9, G11 and G14 had relatively high values of tolerance indices. Otherwise, group C which presented ten genotypes had intermediate values of the estimated indices. While, group D displayed G4 which had the lowest value and it was considered drought-sensitive genotype. The highest phenotypic (PCV) and genotypic (GCV) coefficient of variation values were assigned for number of spikes/m 2 , grain number/spike and 1000-grain weight. The difference between PCV and GCV values was very low for days to heading and days to maturity and was intermediate for biological, grain, straw yields and plant height while it was relatively high for number of spikes/m 2 , grain number/spike and 1000-grain weight. The heritability in broad sense was very high for each of days to heading, days to maturity, plant height and 1000-grain weight and was moderately high for the remaining traits under both conditions.

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This research aims to design a suitable machine for packing paddy grains mechanically to; reduce grains production costs and decrease the wasted time. An innovated new design was fabricated locally to combine various operations in one selfpropelled machine from picking grains from the ground packing it into sacks by a screw elevating system, measuring the accurate needed weight tie sacks under the control of the forward and packing speeds which, synchronizing with grains layers density. The bio-engineering parameter from saving the operators from rising dusts were achieved by fixing a dust protection divider to keep dusts and weed seeds away to purify the species quality. The study included three experimental variables were as follows; four speed ratios between the winnower and screws (Sr) of (0.