PL EN


Preferences help
enabled [disable] Abstract
Number of results
2016 | 47 | 2 | 62-74
Article title

Genetic Variability among Yield and Yield Related Traits in Selected Upland Rice (Oryza sativa L. and Oryza glaberrima Steud) Genotypes in Northwestern Ethiopia

Content
Title variants
Languages of publication
EN
Abstracts
EN
This study was carried out to assess the extent of variability for yield and yield related traits in upland rice genotypes. Twenty-two selected rainfed upland rice varieties were evaluated in randomized complete block design with three replications during 2014 cropping season. The analysis of variance revealed significant differences between the genotypes for all traits except harvest index, indicating the presence of a considerable amount of variability among the genotype. The disease reaction of different genotypes showed a significant variation for blast and brown spot. The highest disease severity was scored by variety Andaasa which is moderately susceptible to leaf blast. Tana, Andassa, Getachew, FOFIFA-4129 and FOFIFA-3730 showed moderately susceptible response to panicle blast. Severity of brown spot ranged from 1.13-6.03. The highest disease severity value was scored by variety Andasa followed by Tana, Getachew and FOFIFA-3730 which showed moderate resistance to brown spot.
Year
Volume
47
Issue
2
Pages
62-74
Physical description
References
  • [1] CSA (Central Statistical Agency). Agricultural sample survey Report on area and Production of major crops. Central Statistical Agency of Ethiopia, Addis Ababa, Ethiopia (2014). V.1. Statistical bulletin. 532.
  • [2] Cochran, W. G. and M. Cox. Experimental designs. John Wiley and Sons, Inc., New York. (1957) pp.611.
  • [3] Dutta, R.K., Baset, M.A., and Khanam, S. Plant architecture and growth characteristics of fine grain and aromatic rices and their relation with grain yield. Newslett. (2002). 51: 51-56.
  • [4] IRRI, Standard evaluation system for rice (SES) (2002) p. 56.
  • [5] Lafarge and Bueno. Higher crop performance of rice hybrids than elite inbreds in the tropics: 2. does sink regulation, rather than sink size, play a major role? Field Crops Research. (2009), 10(3): 245-254.
  • [6] Ministry of Agriculture (MoA). National Rice Research and Development Strategy of Ethiopia. Addis Ababa, Ethiopia (2010) 48 p.
  • [7] OLAM International. Game-changing rice production methodology awarded olam prize for innovation in food security. News release Singapour. (2015),
  • [8] Ou, SH. Rice Diseases Common wealth Agric. Bureaux. Slough, England (1985) pp. 380
  • [9] Padulosi, S. Genetic diversity, taxonomy, and ecogeographical survey of the wild relatives of cowpea (Vigna uniguiculataL. Walp). Ph.D Thesis (1993).
  • [10] Sabouri, H., Rabiei, B. and Fazalalipour, M. Use of selection indices based on multivariate analysis for improving grain yield in rice. Rice Science (2008), 15(4): 303-310.
  • [11] SAS Institute Inc. Base SAS 9.1.3 Procedures Guide. Cary, NC: SAS Institute Inc. Base SAS 9.1.3 Procedures Guide.SAS Institute Inc., Cary, NC, USA (2004).
  • [12] Yaqoob, M., Nazir, H. and Abdul Rashid, Assessment of genetic variability in rice (Oryza sativa l.) Genotypes under rainfed conditions .Arid Zone Research Institute, PARC, D. I. Khan, Pakistan. Agricultural Research, (2012) 50, 311-318.
  • [13] Zhao, L, Wu, L., Wu, M. and Li, Y. Nutrient uptake and water use efficiency as affected by modified rice cultivation methods with irrigation. Paddy Water Environment (2011) 9, 25-32.
  • [14] Zheng-jin, X.U., Chen, Z. Shun, S., Zh and, L. Liu and S. Zhu. Distribution of rice grains on panicle axis and its relationship with seed- setting ability in Liaoning, China. Agricultural Sciences in China (2006) 202-208.
Document Type
article
Publication order reference
YADDA identifier
bwmeta1.element.psjd-44607bac-cf0f-4149-8ed5-6f952125979f
Identifiers
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.