Abstract
Understanding the phenotypic variation and correlation in hybrid rice varieties will lead to proper utilization of these genetic resources. Grain yield (GY), the primary trait, and its secondary traits such as days to 50% flowering (DF), days to maturity (DM), grain length (GL), grain weight (GW), number of filled grains panicle-1 (NFGP), one thousand grain weight (OTGW) panicle length (PL), panicle weight (PW), spikelet fertility (SF), and spikelet number panicle-1 (SNP) of 13 hybrid rice in two environments (E1 and E2) were analyzed using combined analysis of variance (ANOVA) and correlation analysis. High significant variation was found among hybrids (G) in all traits except for GW while there was at least significant result among environments (E) in DF, DM, GL, GW, PW, and OTGW, and in GxE in DF, DM, GW, NFGP, PW, and SNP. Therefore, E1 hybrids were early flowering and maturing, had longer, wider, and more grains, had longer panicles, and higher yield while in E2 hybrids were late flowering and maturing, and had heavier grains. However, among the 13 hybrid rice, M1 had the highest GY and GL in each environment with a mean of 9.57 t ha–1 and 9.75 mm, respectively. M1, therefore, can be recommended to farmers for varietal utilization. Correlation analysis, on the other hand, found 15 and 17 significant correlations in E1 and E2, respectively. Of the correlation results, it was found out that among the secondary traits, only NFGP was consistently, significantly and positively correlated with GY in two environments. The result implied that attaining higher yield in hybrid rice cultivation can be possible by giving more attention to the plants during the grain filling stage.
 J. Bangladesh Agril. Univ. 17(2): 179–186, June 2019
Highlights
The world population is expected to reach 9 billion people by 2050 (FAO, 2009) and in order to evade hunger, the rice production needs to increase by almost 44 million metric tons (Tester and Langridge, 2010)
The validity of the data Prior to the analysis of variance (ANOVA), the data has to be tested with the K-S normality test to determine whether it is express in a normal pattern (Smirnov, 1939; Kolmogoroff, 1941)
High significant variation (1%) was found among hybrids in all traits except for grain weight (GW) while at the least significance (5%) among environments (E) in six traits and in GxE in six traits
Summary
The world population is expected to reach 9 billion people by 2050 (FAO, 2009) and in order to evade hunger, the rice production needs to increase by almost 44 million metric tons (Tester and Langridge, 2010). In the Philippines, the department of agriculture aims to increase rice production by using one of the strategies like utilizing hybrid rice to be planted to at least 1 million hectares of rice farms in the coming years (Desamero and Manigbas, 2017; Philstar, 2016). A survey was conducted on the seed adoption rates of all Philippine rice varieties by Sombilla and Quilloy (2014). They reported that out of 4,690,000 hectares of rice, only 4.8% was cultivated with hybrid, 39.9% with certified inbred, 52.3% with farmers’ or good seeds, and 3.1% with traditional or native varieties. That is why; the study was done aiming to define the phenotypic analysis on 13 hybrid rice, to determine one or more suitable hybrid/s, and to find correlation in hybrid traits
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
