@article { author = {}, title = {Genetic Analysis of Agronomic Traits in Bread Wheat Using Six Parameters Model under Heat Stress}, journal = {Egyptian Journal of Agronomy}, volume = {36}, number = {1}, pages = {1-18}, year = {2014}, publisher = {National Information and Documentation Center (NIDOC), Academy of Scientific Research and Technology}, issn = {0379-3575}, eissn = {2357-0288}, doi = {10.21608/agro.2014.76}, abstract = {INHERITANCE of yield and yield contributing characters were investigated using generation mean analysis, utilizing the means of six populations in parents, F1, F2 and backcross generations of three crosses of bread wheat using six parameters model under favorable and heat stress conditions. This study was carried out during the three successive seasons of 2009/2010, 2010/2011 and 2011/2012 at the Experimental Farm of Faculty of Agriculture, Sohag University, Egypt. The objective of this study was to determine nature of gene action controlling yield and its components. Additive (d) and additive x additive were highly significant and positive for most traits in all the three crosses under favorable sown and heat stress, suggesting the possibility of obtaining further improvements of these traits using a pedigree selection method. Dominance and dominance x dominance gene actions were also found, though the significance and direction was specific for each environment and genotypic cross, indicating the importance of dominance gene effects. Heritability estimates in narrow sense in F2 were relatively high to moderate more than 34.26% and 42.22% under favorable and heat stress, respectively. The promising crosses were the first cross (Giza164 x Qimma 4) and third cross (Gemmeiza 9 x Johara14), were found to high in magnitude which had high genetic advance associated with high heritability and would be interest in breeding programs for heat tolerance.}, keywords = {Wheat,gene action,gene effects,Epistasis,Additive,Dominance,heritability,Six parameters model,heat stress}, url = {https://agro.journals.ekb.eg/article_76.html}, eprint = {https://agro.journals.ekb.eg/article_76_ef07b7f54e073688c1399647a9e5b30c.pdf} } @article { author = {}, title = {Effect of Magnetic Iron and Biofertilization Treatments on Wheat (Triticum aestivum L.) Productivity under Salinity Conditions}, journal = {Egyptian Journal of Agronomy}, volume = {36}, number = {1}, pages = {19-39}, year = {2014}, publisher = {National Information and Documentation Center (NIDOC), Academy of Scientific Research and Technology}, issn = {0379-3575}, eissn = {2357-0288}, doi = {10.21608/agro.2014.77}, abstract = {TWO FIELD experiments were conducted at Ras-Sudr Research ….. Station, South Sinai Governorate during two successive seasons, 2011/2012 and 2012/2013 to study the effect of four levels of magnetic iron (0, 50, 100 and 150 kg /fed) and four biofertilization; control, Pseudomonas fluorescence and Rhizobium meliloti individual and mixed application on the yield parameters of wheat (Triticum aestivum L., cv. Sakha 94). Results revealed that increasing of the magnetic iron from 50 up to 150 kg /fed significantly increased all yield and yield components parameters; plant height (cm), spike length (cm), number of spikelets / spike, weight of 1000 grains (g), biological yield (kg /fed), grain yield (kg /fed) and straw yield (kg/fed) compared with the control in each growing seasons. In single inoculation Rizobium gave better result than other treatments for all yield criteria in the two growing seasons. The effect of the interaction indicates that inoculating of the Rizobium, fertilized with 100 kg magnetic iron /fed resulted in the highest yield and yield components in the two growing seasons. Interaction resulted in between magnetic iron and biofertilization resulted in higher grain protein than the control. In addition, the percentage of K, K/Na ratio, N, and grain protein of the Sakha 94 significantly increased in the two growing seasons. The analysis of the data collected during the study proved that there were statistically significant increases of wheat yield and yield components and some chemical contents due to different rates of magnetic treatments compared by the control which revealed decreases in the previously mentioned characters. Generally, the best treatments were 100 kg magnetic iron /fed and Rizobium meliloti. Both treatments were more effective in avoiding the adverse effects of soil salinity on wheat productivity compered to other treatments used.}, keywords = {Magnetic iron,biofertilization, Rizobium meliloti,Pseudomonas fluorescence, Wheat,Grain yield}, url = {https://agro.journals.ekb.eg/article_77.html}, eprint = {https://agro.journals.ekb.eg/article_77_2b42097f4b9216b4aa794ea9e73f4ba2.pdf} } @article { author = {}, title = {Influence of Gamma Rays on the Performance and Genetic Parameters for Grain Yield and Yield Attributes of Bread Wheat}, journal = {Egyptian Journal of Agronomy}, volume = {36}, number = {1}, pages = {41-55}, year = {2014}, publisher = {National Information and Documentation Center (NIDOC), Academy of Scientific Research and Technology}, issn = {0379-3575}, eissn = {2357-0288}, doi = {10.21608/agro.2014.78}, abstract = {PURE DRY seeds of two wheat cultivars; Sids 12 and Misr1 were subjected to gamma radiation doses at rates of 10, 15, and 20 KR. 60Co used as a source of gamma rays at the Middle East Regional Radioisotope Center for Arab Countries at Dokki, Giza. Significant differences between irradiated and non-irradiated plants were detected for most of the studied characters in the M1 and M2 generations. The most beneficial dose was 10 KR. The impact of this dose was promising in grain yield and No. of spikes/ plant in both generations. High reduction in the mean values of plant height, spike weight and grain yield/ plant were obtained in response to higher does of gamma rays (20 KR) in M1 generation. While it improved No. of spikes/ plant, spike weight and grain yield in M2 generation, but grain yield was still less than that of the 10 KR. The two cultivars responded differently to different gamma radiation doses except grain yield in M1 and heading date in M2 generation as well as 1000-grain weight in the two generations. Maximum absolute value for No. of grains/ spike in M1 generation was occurred at 10 Kr of gamma radiation for Sids 12. While, the same cultivar detected the heaviest spike weight under 15KR. Wheat grains of Misr 1 treated with either 10 or 15 KR recorded the highest No. of spikes/ plant in M1 generation. The most desirable value for grain yield/ plant (30.4 g) was obtained when Misr1 wheat cultivar subjected to low gamma ray dose (10 KR) in the second mutagenic generation. In general, all the studied genetic parameters viz. σ2g, GCV, PCV, h2b.s as well as genetic advance from selection was higher and folded several times in case of irradiated plants compared with the control. These indicated that the efficiency of gamma radiation doses in inducing genetic variation allowing the wheat breeder to improve wheat yield and its attributes through this method. The desirable genetic advance was found to be associated with high heritability estimates in case of spike weight and No. of spikes/ plant. It is concluded from this study that mutation/ variability in wheat can be created through the three mutagenic treatments of gamma rays and various quantitative traits would be improved using gamma rays.}, keywords = {gamma-rays,genetic parameters,Wheat,Yield and yield components,Genotypes by gamma rays interaction}, url = {https://agro.journals.ekb.eg/article_78.html}, eprint = {https://agro.journals.ekb.eg/article_78_ea360fb3c673ff0b1372eccbef531adb.pdf} } @article { author = {}, title = {Heterosis and Restoring Ability of Some Cytoplasmic Male Sterile and Suggested Restorer Rice Lines}, journal = {Egyptian Journal of Agronomy}, volume = {36}, number = {1}, pages = {57-73}, year = {2014}, publisher = {National Information and Documentation Center (NIDOC), Academy of Scientific Research and Technology}, issn = {0379-3575}, eissn = {2357-0288}, doi = {10.21608/agro.2014.79}, abstract = {THE PRESENT investigation was conducted at the Experimental Farm of Faculty of Agriculture, Kafrelsheikh University, Egypt during 2011 and 2012 seasons. Four cytoplasmic male sterile (CMS) lines having different cytoplasmic source, namely G46A, D297A, Yimi15A and V20A beside ten male parents and their forty F1 hybrids as well as the iso genic maintainers of the CMS lines were the materials of this study. Sakha 105, Sakha 106 and Sakha 101 rice cultivars were identified as good maintainers for the CMS lines G46A and D297A. Contrary, Giza 182, Giza 178, Giza 181and Wita 12 were identified as good restorers for the two previous CMS lines and V20A. Most of the combinations showed either partial restorers or partial maintainers. The CMS lines G46A and D297A were easy to restore and the opposite was true for the CMS line Yimi 15A as it has japonica type which is difficult to restore. D297A x Giza 182, V20A x Giza 178 and G46A x Giza 178 were the best combinations for grain yield (high heterobeltiosis values). D297A x Giza 178 and D297A x Gz.1368 were promising hybrids for recombination breeding for grain yield, V20A x IET1444 for number of panicles/ plant, while Yimi15A x Sakha 106 and Yimi15A x Sakha 105 were promising hybrids for recombination breeding for early heading.}, keywords = {cytoplasmic male sterility,rice,Heterosis,potence ratio,Restoring ability}, url = {https://agro.journals.ekb.eg/article_79.html}, eprint = {https://agro.journals.ekb.eg/article_79_147df4183544a248f4779c48c5bb1521.pdf} } @article { author = {}, title = {Forage Growth and Productivity of Pearl Millet as Affected by Soil Mulching, Planting Date under Salinity Conditions}, journal = {Egyptian Journal of Agronomy}, volume = {36}, number = {1}, pages = {75-94}, year = {2014}, publisher = {National Information and Documentation Center (NIDOC), Academy of Scientific Research and Technology}, issn = {0379-3575}, eissn = {2357-0288}, doi = {10.21608/agro.2014.80}, abstract = {TWO FIELD experiments were carried out, at Ras Sudr Experimental Station, South Sinai Governorate, Egypt, during the two summer growing seasons 2011 and 2012. This work was conducted to study the effect of three sowing dates, i.e. 1st May, 15th May and 1st June and four soil surface mulching treatments )i.e. without, plastic sheet, one and two tons rice straw/fed) under two levels of saline water irrigation conditions, i.e. 4500 and 8000 ppm on some growth charactersand forage yield of pearl millet [Pennisetum glaucum (L.) R. Br]. Obtained results showed that the growth characters and forage yield of pearl millet, i.e. plant height, number of tillers/plant, number of leaves/plant, leaf area index, leaves dry weight, stem dry weight and total plant dry weight reduced significantly by increasing saline water irrigation levels from 4500 to 8000 ppm. Early sowing date, at 1st May, produced the highest significant values of the most growth characters and the total forage dry weight. Meantime, the growth traits and forage dry yield were significantly affected by using 2 ton of rice straw/fed and plastic sheet soil mulching treatments which produced the highest values of leaves, stem and total dry weights/fed, compared to unmulching or using one ton rice straw/fed treatments.}, keywords = {Pearl millet [ Pennisetum glaucum (L.) R. Br],Saline water irrigation,sowing date,Soil surface mulching,rice straw,Plastic sheet,dry forage yield}, url = {https://agro.journals.ekb.eg/article_80.html}, eprint = {https://agro.journals.ekb.eg/article_80_fabdc94b02148e91d7d492d082cf592a.pdf} } @article { author = {}, title = {Biometrical Models Based Assessment of Genotype x Environment Interaction of Regional Cotton Yield Trails}, journal = {Egyptian Journal of Agronomy}, volume = {36}, number = {1}, pages = {95-121}, year = {2014}, publisher = {National Information and Documentation Center (NIDOC), Academy of Scientific Research and Technology}, issn = {0379-3575}, eissn = {2357-0288}, doi = {10.21608/agro.2014.81}, abstract = {THE OBJECTIVES of this study were to use different biometrical models in assessing the genotype by environment interaction (GE) in cotton yield trials, determine the relationship among different stability statistics, and compare the relative efficiency of these models in explaining the GE effects. Variation in lint cotton yield was evaluated in fifteen extra long stable genotypes across 10 environments (location-year combinations) in 2010 and 2011. The combined analysisof variation showed that the main effects were highly significant and sum of squares proportions (remaining after removing the sums of squares due to error and replications) were 65.30%, 10.6%, and 24.1% for environments, genotypes and interaction, respectively. Pattern analysis split each of environments and genotypes into different lineages of homogenous clusters. This was reflecting the tremendous effects of environments, seasonal variation and genotypicdifferences and emphasizing the importance of deep investigation of GE interaction. Joint regression model revealed that the proportion due to regression line was 7.65%. The greater part of GE interaction was due to deviation from regression line. Meanwhile, the proportions of the first two principal components in GE interaction were 36.45% and 19.5%, respectively, with the first I PCA being significant. This reflects the importance of AMMI model in isolating the relevant parts of GE interaction and excluding the irrelevant parts. AMMI-1 and AMMI-2 models were high informative in describingthe main effects and their interaction. AMMI model was superior to joint regression model in terms of its predictive abilityand efficiency in explaining the pattern of GE sum of squares. Moreover, AMMI determined the genotypes with specific stability as well as the discriminative environments. Ranks of stable genotype and magnitude of stability measurement varied with each model. Neither coefficient of regression nor the coefficient of deviation significantly correlated with the mean performance. IPCA1 significantly correlated with the trait mean performance. AMMI stability value (ASV) was highly correlated with the deviation from regression and with Tai coefficients. As expected, both of regression coefficient and α, the deviations from regression and λ, were positively correlated. AMMI model assembled each group of (E2 and E6), (E9 and E10) and (E4 and E7) to establish a mega environment for breeding the associated genotypes. When contrasting stability measurement, genotypes G88, G93, G84×PimaS6,F 81338/08 and F7 1310/08 were commonly exhibited average stability, therefore they could targeted for the simultaneous improvement of yield and stability. At the level of specific stability and adaptability, however, AMMI model dominated other models. It is important to take into consideration the results of specific stability and adaptability, especially when the component of interaction within environments being higher, rather than among environments as it was evident here.}, keywords = {AMMI,Cotton,genotype x environment interaction,Stability models}, url = {https://agro.journals.ekb.eg/article_81.html}, eprint = {https://agro.journals.ekb.eg/article_81_af292ae53047dc4538c0cc57960fd78c.pdf} }