Journal of Agricultural Research (2020), Volume. 7, Issue (2)

Abstracts

To generate scientific information on nature and magnitude of genetic variability and to classify genotypes into distinct clusters on the basis of yield and yield component traits, this experiment was conducted at the Department of Plant Breeding, Physiology and Ecology, Yezin Agricultural University from June to October, 2017. The 44 hybrid genotypes introduced from China together with four local checks were tested in Modified Randomized Complete Block design with three replications. Those hybrid genotypes were randomly grouped into four sets and each set consisted of 11 hybrid genotypes comparing with four check varieties. Yield and yield component traits were collected and analyzed with SAS software. Genetic parameters and cluster analysis were computed with STAR software. The results showed that presence of adequate genetic variability in the tested genotypes which could be a chance to select the better genotypes. The estimates of phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) of most observed characters showed moderate to high. In yield plant-1, the value of environmental coefficient of variation (ECV) was also high. According to cluster analysis, the tested genotypes were grouped into five and a group of genotypes in cluster IV was identified as being different from other clusters for number of spikelets panicle-1 and yield plant-1. Similarly, on the basis of mean performance on yield plant-1, B9, B10, B11, B17, B20, B35 and B45 were identified as the most promising genotypes and most of which are grouped in cluster IV except B35 and B20. Therefore, these genotypes could be selected promising hybrids for Myanmar environment. However, it needs to test for eating quality and conducted multi-location trials for yield stability.