The present investigation was conducted to determine the genetic behavior of 14 genetically diverse genotypes of sesame in Shandaweel Research Station (ARC), during the two summer seasons of 2017 and 2018, for seed yield and their components using a randomized complete block design with 3 replications. Significant differences among evaluated sesame genotypes for all studied traits were observed. The highest mean values of 1000-seed weight and seed yield/plant were obtained from the genotype M2A23, while the lowest mean value was obtained from the genotype B-42. Number of branches per plant, number of capsules per plant, and seed yield per plant had the highest estimates of PCV and GCV. High heritability combined with the high genetic advance (as a percent of mean) was observed in length of fruiting zone, number of branches/ plants, number of capsules/ plants, and seed yield/ plant, showed that these traits were controlled by additive genetic influences. Seed yield /plant had positive and highly significant correlated with the length of fruiting zone in both branched genotypes and non-branched genotypes. Moreover, length of fruiting zone, number of capsules /plant and 1000-seed weight had great positive direct effects on seed yield/plant. Hence, these characteristics could be helpful in increasing sesame seed yield.

A field experiment was performed at the Arb El-Awamer Research Station, Assuit Governorate, Agricultural Research Center, Egypt during the two consecutive summer seasons of 2017 and 2018 to achieve the highest yield and good oil quality of nine tested sunflower genotypes. In both seasons, the experiment was conducted using the split plot design in randomized complete block design with three replicates arrangement keeping irrigation system (sprinkler and drip) in the main plots, and sunflower genotypes (L990, L770, L465, L125, L460, L880, L120, Giza 102 and Sakha 53) in the sub plots. Yield and quality traits were significantly influenced by irrigation system and genotypes as well as their interactions in both seasons and their combined analysis. The drip irrigation system seems to be a good compromise between the highest seed yield /fedden and good fatty acid composition of oil. Line 120 was ranked in the first order in head diameter, 100-seed weight, seed weight /plant, flowered late and hence seed yield /fedden, as well as seed oil content, whereas, Sakha 53 characterized with it contained the highest proportion of unsaturated fatty acids. The highest values of head diameter, 100-seed weight, seed weight /plant and hence seed yield /fedden as well as the highest proportion of unsaturated fatty acids composition were obtained by grown sunflower L120 at drip irrigation system.

To detect types of gene action especially epistasis for studied traits, six populations; P1, P2, F1, F2, BC1 and BC2 in two intraspecific crosses of canola (N.A.37 × Serw 4 and N.A.14 × Serw 6) were evaluated in a field trial during 2019/2020 season at

The present investigation was carried out to evaluate agronomic performance and oil quality of seven sunflower genotypes at Shandaweel Research Station, Agricultural Research Center, Sohag, Egypt during 2018 and 2019 summer seasons. These genetic materials were sown in a randomized complete block design having three replications. Significant genetic variations among evaluated sunflower genotypes for agronomic traits and oil quality were observed. The superior sunflower genotypes were Line 120 for seed yield per hectare (3102.38 kg), Sakha 53 for seed oil content (44.63 %) and Line 125 for oil quality where it contained the highest proportion of unsaturated fatty acids (89.20 %). The phenotypic coefficients of variation were slightly higher than genotypic coefficients of variation for all studied traits. High heritability (exceeded 60%) and genetic advance as percent of mean (ranged from medium to high, exceeded 10%) was observed for most studied traits. Seed yield per plant positively correlated with plant height, stem diameter, head diameter, and 100-seed weight and most chemical traits at phenotypic and genotypic levels. Maximum phenotypic direct effects on seed yield per plant were observed for 100-seed weight, head diameter and total unsaturated fatty acids. While, the highest genotypic direct effect on seed yield per plant was observed for head diameter. Hence, most studied traits could be employed as selection criteria for improving evaluated sunflower genotypes.

The present work was carried out at the Agriculture Research Station of Shandwell during the two successive seasons of 2018 and 2019 to assess the yield potential of 20 peanut genotypes. Genotype by trait biplot (GT) and genotype by yield*trait (GYT) analyses were automated to obtain information on genotypes for selection based on multiple traits (nine traits), and appreciate the relationships between these attributes. Applying biplot analyses to the multiple trait data revealed that genotype by yield*trait (GYT) graphically facilitated visual, more effective and clear in providing information about the superior genotypes and the relationships between the yield and its components genotype compared to trait biplot (GT). Also, ranking genotypes was tested by a superiority index that collective yield and other target traits with the GYT biplot. In the GYT biplot, yield-trait combinations clearly appeared that the best genotypes defined for all traits, whereas in the genotype × trait (GT) biplot, the best genotypes were not known for all traits. The promising genotypes being No. 7, 16 and 17 are clearly observed using the GYT biplot technique.