BREEDING POTENTIAL OF RICE GENOTYPES IN TWO AGROCLIMATIC CONDITIONS OF SULAIMANI - KURDISTAN REGION - IRAQ
DOI:
https://doi.org/10.36103/ijas.v54i3.1765Keywords:
Rice genotypes, genetic diversity, association analysis, path analysis, cluster analysis.Abstract
This study was aimed to investigate the genetic variability of 26 rice genotypes and evaluation at two locations in Sulaimani governorate, Gaba and Chawtan which were completely different in their environmental condition during the season of 2019. The performances of the genotypes were analyzed at both locations as well as the average of both. Simple coefficients of correlation were used to assess the grain yield components and their relationships. Path analysis was used to determine the direct and indirect effects of such components on grain yield plant-1. The genotypes were grouped based on the agro-morphological features using cluster analysis. Almost all of the traits at both locations and the average of both locations showed highly significant differences; Chawtan outperformed Gaba location for the traits no. of tillers plant-1, no. of panicle plant-1, 1000-grain weight, and plant-1 grain yield, whereas higher values were found for plant height and no. of grains panicle-1 for Gaba location. At both locations, there was a highly significant and positive association between the number of tillers and panicles in plant-1 and grain yield plant-1. The number of panicle plants-1 had the most favorable direct effects on grain yield at both locations. At both locations, the highest positive indirect effect on grain output was provided by the number of tillers plant-1 via the number of panicle plant-1. Based on the agro-morphological features, the rice genotypes were grouped into 5 clusters at both locations. At both locations, Cluster V gave better values regarding grain yield.
References
Alamir, A., 2018. Genetic Variability of Grain Yield and Yield Related Traits for Newly Introduced Low Land Rice (Oryza sativa L.) Genotypes at Fogera, North Western Ethiopia. M.Sc. Thesis, School of Graduate Studies of Bahir Dar University, College of Agriculture and Environmental Sciences, Ethiopia. pp.102.
Al-Hasanie, L. N. H. and A. D. Al-Maadhedi 2017. Influence of irrigation periods and organic fertilizer on tow rice varieties grown under The System of Rice Intensification (SRI)”, Iraqi Journal of Agricultural Sciences (IJAS) 48(3): 823-840.
https://doi.org/10.36103/ijas.v48i3.396
Amin, E. A., 1979. Correlation and path-coefficient analysis in some short-stature rice cultivars and strains. Inter. Rice Commission Newsletter, 28:19-21.
Baloch A., M. Baloch, R. Baloch, M. Kandhro, I. Odhano, H. Bughio and A. Rajput 2016. Evaluation of genetic diversity in rice (Oryza sativa L.) genotypes. Sindh University Research. Journal-SURJ (Science Series). 48pp.
Borbora, T. K., G. N. Hazarika and A. K. Medhi 2005. Correlation and path analysis for plant and panicle characters in rice (Oryza sativa). Agric. Biotechnology, Jorhat. 30 (20): 215-220.
Chakma S. P., H. Huq, F. Mahmud, and A. Husna 2012. Genetic diversity analysis in rice (Oryza sativa L.). Department of Genetics and Plant Breeding, Sher-e-Bangla Agricultural University, Sher-e-Bangla Nagar, Dhaka-1207. Bangladesh J. Pl. Breed. Genet. 25(1): 31-39.
Florence, C., L. Zapico1, J. A. Namocatcat and J. L. Cariño-Turner 2010. Genetic diversity analysis of traditional upland rice cultivars in Kihan, Malapatan, Sarangani Province, Philippines using morphometric markers. Philppine J. Sci. 139(2): 177-180.
Hairmansis, A., B. Kustianto, Supartopo and Suwarno 2010. Correlation analysis of agronomic characters and grain yield of rice for tidal swamp areas. Indonessian J. Agric. Sci. 11(1): 11-15.
Iftekharuddaula, K. M., Khalida Akhtar, M.S. Hassan, K. Fatima. And A. Badshah 2002. Character association and selection criteria in irrigated rice. J. Biol. Sci. 2(4):243-246.
Khan, A. S., M. Imran and M. Ashfaq 2009. Estimation of genetic variability and correlation for grain yield components in rice (Oryza sativa). Amercian-Eurasian J. Agric. Environ. Sci., 6(5): 585-590.
Lateef, M.A., A.D. Kasar and A.A. Mudhi 2017a. Policy analysis matrix for the essential cereal crops varieties (rice Buhooth1, and corn synthetic genotype Baghdad3) (study case) in Iraq for the year 2012. Iraqi Journal of Agricultural Sciences (IJAS) 48(3):812-822. https://doi.org/10.36103/ijas.v48i3.395
Lateef, M.A., A.D. Kasar and A.A. Mudhi 2017b. Investment priorities in the agricultural scientific research in Iraq using policy analysis matrix approach cereals crops (rice Amber, Al-Baraka Buhooth2, corn synthetic genotype Fajer1, and wheat Buhooth158) study case”, Iraqi Journal of Agricultural Sciences (IJAS) 48(3):797-811. https://doi.org/10.36103/ijas.v48i3.394
Madhavilatha, L., M. R. Sekhar, Y. Suneetha and T. Srinivas 2005. Genetic variability, correlation and path analysis for yield and quality traits in rice (Oryza sativa). Res. Crops. 6(3): 527-534.
Manifesto, M.M., A.R. Schlatter, H.E. Hopp, E.Y. Suarez and J. Dubcovsky 2001. Quantitative Evaluation of Genetic Diversity in Wheat Germplasm Using Molecular Markers. Crop Breeding Genetics and Cytology, 41: 682-690.
Mishra, L.K., and R.K. Verma 2002. Correlation and path analysis for morphological and quality traits in rice (O. sativa L.). Plant Archives. 2002; 2(2):275-284.
Nachimmuthu, V.V., S. Robin, D. Sudhakar, M. Raveendran, S. Rajeswari, S. Manonmani 2014. Evaluation of rice genetic diversity and variability in a population panel by principal component analysis. Indian J. Sci. Technol. 7(10):1555–1562.
Pervaiz, A. H., M. A. Rabbani, I. Khaliq, S. R. Pearce and S. A. Malik 2010. Genetic diversity associated with agronomic traits using microsatellite markers in Pakistani rice landraces. Elect. J. Biotechnol. 13(3): 1-12.
Ragarathinam, S. and V. D. G. Raja 1992. Correlation and path analysis in some rice varieties under alkaline stress. Madras Agric. Res. J. 79: 374-378.
Rasheed, M. S., H. A. Sadaqat and M. Babar 2002. Correlation and path analysis for yield and its components in Rice. Asian J. PI. Sci. 1(3): 241-244.
Rashid, K., I. Khaliq, M. O. Farooq, M. Z. Ahsan 2013. Correlation and Cluster Analysis of Some Yield and Yield Related Traits in Rice (Oryza sativa), International Journal of Agricultural Science and Research (IJASR) 3(4): 25-30.
Ravikumar, B., N. Satyanarayana, K. Chamundeswari, M. Bharathalakshmi and A. Vishnuvardhan 2015. Principal component analysis and character association for yield components in rice (Oryza sativa L.) cultivars suitable for irrigated ecosystem. Andhra Pradesh Rice Research Institute and Regional Agricultural Research Station, Maruteru, India. Current Biotica. 9(1): 25-35.
Sabesan, T., R. Suresh and K. Saravanan 2009. Genetic variability and correlation for yield and grain quality characters of rice grown in costal saline low land of Tamilnadu. Elect J. Plant Breeding. 1: 56-59.
Sarker, M., L. Hassan, M. Rashid and S. Seraj 2013. Molecular characterization and morphological clustering of exotic early maturing rice (Oryza sativa L.) lines. Journal Bangladesh Agril. Univ. 11(2): 233–240.
Singh R.K., B.D. Chaudhary 1985. Biometrical Methods in Quantitative Genetic Analysis; Kalyani Publishers; New Delhi: pp. 215–218.
Singh, R., V. Yadav, D.N. Mishra and A. Yadav 2018. Correlation and path analysis studies in Rice (Oryza sativa L.). Journal of Pharmacognosy and Phytochemistry (SP1)2084-2090.
STATISTIC, I. S. 2011. IBM SPSS STATISTIC program, Version 19 statistical software packages”. IBM Corporation, New York.
Surek, H., N. Beser 2003. Correlation and path coefficient analysis for some yield related traits in rice (Oryza sativa) under thrace conditions. Turk. J. Agric. For. 27: 77-83.
Tripathi, A., R.Bisen, R.P.Ahirwal, S. Paroha, R. Sahu, A.R.G. Ranganatha 2013. Study on genetic divergence in sesame (sesamum indicum L.) Germplasm based on morphological and quality traits. Bioscan. 2013;8(4):1387–1391.
Vivekananda, P., S. Subramanian 2014. Genetic divergence in rainfed rice Oryza. 30: 60–62.
Worede, F., T. Sreewongchai, C. Phumichai and P. Sripichitt 2014. Multivariate analysis of genetic diversity among some rice genotypes using morpho-agronomic traits. Journal of Plant Sciences 9: 14-24.
Yong-xiang, F. 2008. Correlation and cluster analysis for yield properties of early-japonica rice in cold area. J. Anhui. Agric. Sci. 23(49): 150-186.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.