Home Articles List Article Information
Journal of Plant Production
Journal Archive
Volume Volume 16 (2025)
Volume Volume 15 (2024)
Volume Volume 14 (2023)
Volume Volume 13 (2022)
Volume Volume 12 (2021)
Volume Volume 11 (2020)
Volume Volume 10 (2019)
Volume Volume 9 (2018)
Volume Volume 8 (2017)
Volume Volume 7 (2016)
Volume Volume 6 (2015)
Volume Volume 5 (2014)
Volume Volume 4 (2013)
Volume Volume 3 (2012)
Volume Volume 2 (2011)
Volume Volume 1 (2010)
Volume Volume 34 (2009)
Volume Volume 33 (2008)
Volume Volume 32 (2007)
Volume Volume 31 (2006)
Volume Volume 30 (2005)
Volume Volume 29 (2004)
Volume Volume 28 (2003)
Volume Volume 27 (2002)
Volume Volume 26 (2001)
Volume Volume 25 (2000)
Arafat, E., Negm, M., Elsharnobi, D. (2022). Studies on Correlation and some Morphological, Yield and its Components Traits in some Rice Hybrids. Journal of Plant Production, 13(8), 635-640. doi: 10.21608/jpp.2022.158046.1161
E. F. A. Arafat; M. E. Negm; Dalia E. Elsharnobi. "Studies on Correlation and some Morphological, Yield and its Components Traits in some Rice Hybrids". Journal of Plant Production, 13, 8, 2022, 635-640. doi: 10.21608/jpp.2022.158046.1161
Arafat, E., Negm, M., Elsharnobi, D. (2022). 'Studies on Correlation and some Morphological, Yield and its Components Traits in some Rice Hybrids', Journal of Plant Production, 13(8), pp. 635-640. doi: 10.21608/jpp.2022.158046.1161
Arafat, E., Negm, M., Elsharnobi, D. Studies on Correlation and some Morphological, Yield and its Components Traits in some Rice Hybrids. Journal of Plant Production, 2022; 13(8): 635-640. doi: 10.21608/jpp.2022.158046.1161

Studies on Correlation and some Morphological, Yield and its Components Traits in some Rice Hybrids

Article 14, Volume 13, Issue 8, August 2022, Page 635-640  XML PDF (1.11 MB)
Document Type: Original Article
DOI: 10.21608/jpp.2022.158046.1161
View on SCiNiTO View on SCiNiTO
Authors
E. F. A. Arafat; M. E. Negm email ; Dalia E. Elsharnobi
Rice Research Section, Field Crops Research Institute, Agricultural Research Center, Giza, Egypt
Abstract
Fourteen rice hybrids were grown in the two successive seasons 2020 and 2021 in Kafr El-Sheikh, Egypt, at the Experimental Farm of Rice Research and Training Center to evaluate the presence of variation for investigated traits and to estimate correlations for the studied traits with the grain yield. Every analyzed trait revealed substantial variations between hybrids, indicating a wide range of genetic variability controlling the studied traits. Grain yield (t ha-1) and 100-grain weight attributes with IR69625A×GZ6296, IR58025A×GZ6296 and G46A×GZ6296 hybrids achieved the highest estimated values and the hybrids IR70368A×PR78 and Pusa13A×Giza181 in in the grain yield only. Five hybrids showed surpass over standard check variety, EHR1 for grain yield and some other traits. A strong positive correlation and regression was found between grain yield (t ha-1) and the following variables: panicle length, number of spikelets panicle-1, harvest index and biological yield (t ha-1) and it can be dependent on these trait to select the best genotypes in breeding program to improve the grain yield.
Keywords
Hybrid rice; grain yield; correlation; regression
Statistics
Article View: 164
PDF Download: 319