Showing 2 results for Path Analysis.
A. Abouzari Gazafrodi, R. Honarnegad, M. H. Fotokian, A. Alami,
Volume 10, Issue 2 (7-2006)
Abstract
In order to investigate path analysis and study correlations among 16 agronomic traits, 49 Iranian and foreign rice entries were evaluated in a simple lattice square as experimental design with 2 replications at research farm of Tonekabon agricultural college in 2001. Analysis of variance showed significant difference among genotypes for all the studied traits (p<0.05). Phenotypic and genotypic correlation analysis showed positive and significant correlation between grain yield and the number of productive tiller, total tillers and number of grain per panicle. Based on path analysis of the traits, the number of productive tillers had the highest direct effect on the grain yield. Furthermore, the number of grain per panicle and 100-grain weight had a high direct effect on the yield. Overall, the results are suggestive of the direct selection for grain yield in these genotypes through above - mentioned traits.
M. Mojtabaie Zamani, M. Esfahany, R. Honarnejad, M. Alahgholipour,
Volume 10, Issue 4 (1-2007)
Abstract
Relationship between grain filling rate , grain filling duration, yield components and other physiological traits of rice was investigated in 93 genotypes of rice at Rice Research Institute of Iran (Rasht, Iran) during the growing season of 2001-2002. The experiment was performed without any statistical design. Panicles of main stem were tagged and taken at 3- day intervals during the grain filling period. A cubic polynomial model was used to fit the grain dry weight data (mean of R2= 0.98 for all genotypes) and the grain filling rate and duration estimated for the genotypes. Traits related to sink capacity such as grain weight, grain size and grain number per panicle correlated with grain filling rate but source -capacity- related traits except chlorophyll content of flag leaf and secondary leaf did not correlate with grain filling rate. Stepwise regression showed that final grain weight, grain filling duration and flag leaf angle contributed to grain filling rate, however, path analysis showed that only final grain weight and grain filling duration had the greatest effect on grain filling rate. The results of stepwise regression irrespective of final grain weight showed that chlorophyll content of flag leaf, grain width, grain filling duration and grain length contributed to grain filling rate. Path analysis results showed that the final grain weight had the greatest direct positive effect on grain filling rate, while grain filling duration had negative effect on grain filling rate.
