Effect of Sustainability of Sudan Grass Genotypes for Water Irrigation Deficiency on Yield and its Component | ||||
| Journal of Plant Production | ||||
| Article 6, Volume 14, Issue 11, November 2023, Page 339-349 PDF (1.34 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/jpp.2023.231979.1266 | ||||
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| Authors | ||||
A. S. M. Badawy1; Mona A. M. El-Mansoury2; Asmaa M. S. Rady   3; T. G. EL-Gaafarey1
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| 1Forage Crops Res. Dep., Field Crops Res. Inst., A.R.C., Giza, Egypt | ||||
| 2Soils, water and Environment Res. Inst., A.R.C., Giza, Egypt | ||||
| 3Crop science department, Faculty of Agriculture el-shatby, Alexandria University. | ||||
| Abstract | ||||
| Two water regimes were applied (control) irrigated every 15 days and irrigated every 30 days. The results showed that water stress and genotypes had significantly affected drought tolerance. The highest genotypes estimate of drought tolerance indices were Giza 1 and Giza 2 which its water stress at 30 days in the two summer seasons 2019 and 2020 respectively. While the lowest one was genotype IS 3382. There was a wide range of drought tolerance among the twenty-one tested genotypes. Correlation among forage yield components indicated that fresh forage yield was positively correlated with all forage yield components under normal and water stress. Dry forage yield was positively correlated with all forage yield components under normal and water stress. Path analysis revealed that dry forage yield exhibited the highest positive direct effect on fresh forage yield as well as showing significant and positive correlation with fresh forage yield. Stem diameter showed the highest negative direct effects on fresh forage yield which was followed by plant height. The results concluded that Sudan grass tolerance the drought at 30 days and the best yield obtained by genotype Giza 1. The genotype Giza 1 followed by the genotype Giza 2 gave the highest tolerance to water stress, while the genotype MV1 followed by the genotype IS 3382 gave the highest sensitivity to the lack of irrigation water periods for Sudan grass under the conditions of this study. | ||||
| Keywords | ||||
| Sudan grass; water deficit; abiotic stress; correlation; path coefficient; cluster analysis | ||||
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