Genetic Indicators of Barley Cultivars by the Effect of Seeding Rate | ||
| IRAQI JOURNAL OF DESERT STUDIES | ||
| Article 9, Volume 12, Issue 2, December 2022, Pages 101-110 PDF (463.39 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.36531/ijds.2022.176698 | ||
| Authors | ||
| Aqeel A. Fadel* 1; Zeyad A. Abdulhamed2; Shatha A. Yousif3 | ||
| 1Department of Field Crops, College of Agriculture, University of Anbar, Anbar. Iraq. | ||
| 2Department of Field Crops, College of Agriculture, University of Anbar, Anbar. Iraq | ||
| 3Agricultural Research Directorate, Ministry of Science and Technology, Baghdad, Iraq. | ||
| Abstract | ||
| A field experiment was carried out during the winter season 2021-2022 in research station 1 - College of Agriculture governorate in Anbar to know the genetic variations between different varieties of barley by the effect of seeding rate. Add was to find the selective indicator for improving barley yield. Split plots arrangement according to randomized complete block design (RCBD) at three replications was used. The main plots included three seeding rates (120, 160 and 200) Kg ha-1, while the subplots included five barley cultivars (Iba 256, Iksad 617, Amal, Samir and Buraq). The results showed that the low seeding rate (120 Kg ha-1) was significantly superior in the flag leaf area (14.45 cm2). In comparison, the high seeding rate (200 Kg ha-1) was significantly superior in the crop growth rate, weight of 1000 grains, grain yield and biological yield (13.76 g m-2 day-1, 48.21 g,5.78 ton ha-1and 20.48ton ha-1) respectively. In contrast, the seeding rate of 160 Kg ha-1 was significantly superior in the harvest index (28.87%). The yield and its components of barley were studied in terms of performance and variances, and the values of genetic and environmental variances, genetic and phenotypic variance coefficients and heritability in the broad sense were calculated the highest percentages of genetic to environmental variations for the weight of 1000 grains. The highest heritability rates were 99.28% and 98.54% for the biological yield and the weight of 1000 grains, respectively. | ||
| Keywords | ||
| barley; yield components; heritability; biological yield; weight grains | ||
| References | ||
|
Abdulhamed. Z. A., Abbasand, S. A., & Kosaj, K. I. (2022). Genetic and molecular variations using the molecular marker RAPD in barley yield. International. Journal of Agricultural Statical Sciences, 18(1), 1930-1939.
Abdulhamed. Z. A., Abdulkareem, B. M., & Noaman, A. H. (2021). Efficiency of ISSR markers detect genetic and molecular variation between barley genotypes. International. Journal of Agricultural Statical Sciences, 17(1).
Al-Fraih, L. M., Al-Obeidi, R. H., & Al-Zarjawi, M. A. (2015). Effect of sowing rates and number of mowing on growth traits, yield and its components of barley crop in basra governorate. DhiGhar University Journal Agricultural Research, 4(2): 35-49.
Aklilu, E., Dejene, T., & Worede, F. (2020). Genotypic and phenotypic correlation and path coefficient analysis for yield and yield related traits in barley (Hordeum vulgare L.) landraces in North Gondar, Ethiopia. Indian Journal of Pure & Applied Biosciences, 8, 24-36.
Al-Myali, A. A. H., Hasoon, A. S., & Alaameri, A. A. K.. (2020). Effect of variety and planting date on growth and yield of barley ( Hordeum vulgare L.). Plant Archives, 20(1), 355-358.
Andosh, A. R., & Al-Dhahiry, I. A. (2020). The effect of plant density on the growth and productivity of three barley cultivars. Misurata Journal Agricultural Sciences, 1(2),104-113.
Arya, L, Verma, M., Singh. S. K, & Verrma, R. P. S. (2019). Spatio-temporal genetic diversity in Indian barley (Hordeum vulgare L.) varieties based on SSR markers. Indian Journal of Experimental Biology, 57, 545-552.
Carpici, E. B., & Celik, N. (2012). Correlation and path coefficient analyses of grain yield and yield components in two-rowed of barley (Hordeum vulgare convar. distichon) varieties. Notulae Scientia Biologicae, 4(2), 128-131.
Directorate of Agricultural Statistics. (2021). Barley and Wheat Production Report. Central Bureau of Statistics, Ministry of Planning, Iraq.
Fadel, A. A., Abdulhamed, Z. A., & Yousif, H. A. (2022). RAPD technique to determine the genetic divergence of barley genotypes. IOP Conference Series: Earth and Environmental Science, 761, 012077.
Hou, Y. C., Yan, Z. H., Wei, Y. M., & Zheng, Y. L. (2005). Genetic diversity in barley from west China based on RAPD and ISSR analysis. Barley Genetics Newsletter, 35, 9-22.
Jaddoa, K. A., & Saleh, H. M. (2013). Fertilization of Wheat Crop. The National Program for Development of Wheat Cultivation in Iraq. Guidance leaflet No. 2., Ministry of Agriculture.
Omar, A. E. R., (2013). Response of some barley cultivars to sowing date and seeding rate under sprinkler irrigation system in sandy soils. Journal of Productivity and Development, 18(2): 155-173.
Pal, P., Reddy, M.D., Pandey, G., & Kumar, A. (2018). Effect of different of sowing on barley ( Hordeum vulgare L.) varieties under limited irrigation. Journal of Pharmacognosy and Phytochemistry, SP2, 88-91
Pankaj, S. C., Sharm, P. K., Chouksey, K. & Sirch, S. K. (2015). Growth and development pattern of barley varieties as influenced by dates of sowing and nitrogen levels.TheBioscan, 10(3),1299-1302.
Petkovski, N., Mihajlov, L. & Ruzdik., N. M. (2018). Genetic and environmental effect on the grain yield of spring barley varieties cultivated in the republic of macedonia. Journal of Agriculture & Plant Sciences, 16(1), 97-102.
Sapi, S., Marker, S., & Bhattacharjee, I. (2017). Correlation and path coefficient analysis of some quantitative traits in bread wheat. Journal of Pharmacognosy and Phytochemistry , 6(4), 258-262.
Sestak, Z., Catsky, J. & Jarvis, P G. (1971). Plant photosynthetic production: manual of methods. The Hague, Netherlands.
Shendy, M. Z. (2015). Gene action and path coefficient studies for yield and yield components of some barley crosses. Egyption Journal of Plant Breeding, 19(4), 1155-1166.
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