ASSESSMENT OF VARIABILITY, GENETIC PARAMETERS AND CLUSTER ANALYSIS OF SOME RICE GENOTYPES USING QUANTATIVE TRAITS | ||||
| Menoufia Journal of Plant Production | ||||
| Article 11, Volume 9, Issue 2, February 2024, Page 71-80 PDF (585.94 K) | ||||
| Document Type: original papers | ||||
| DOI: 10.21608/mjppf.2024.264220.1041 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Tahany Mohamed Mazal  1; neama el khouli2; sara elleithy2
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| 1Rice Research and training center, agriculture research center | ||||
| 2Rice research and training center,Sakha , kafrelsheikh | ||||
| Abstract | ||||
| Rice is the most important crop for many countries around the world, being the main cash crop for farmers. This research was carried out at the experimental farm of Sakha Agricultural Research Station, Kafr El-Sheikh, Egypt during 2022 and 2023 rice seasons to investigate the variability for desiredquantitative traits and genetic parameters i.e. phenotypic and genotypic coefficients of variation, broad sense heritability and correlations among 11 rice genotypes for some agronomical characteristics. Randomized complete block design, with three replications were used in the both seasons. The analysis of variance of 11 studied traits revealed highly significant differences between the genotypes indicating into a wide range of variation among the tested rice genotypes in their genetic background. The genotypes Sakha 101, SKC23824-422, GZ9362-34-2-1-3and Sakha 104 showed the highest mean values for grain yield plant-1 (59.90, 59.50, 59.40 and 59.00 g, respectively).The widest and thickest grains were observed inIR51672-62-2-1 with mean value 4.10 -2.60mm. The highest PCV and GCV were observed in panicle weight, number of filled grains panicle-1 and1000-grain weight. The positive correlation coefficients between grain yield and number of panicles plant-1, panicle length, panicle weight, number of filled grains panicle-1 and 1000-grain weight. High heritability observed for all studied traits except panicle length trait were low. The dendrogram analysis divided the studied genotypes into two main clusters based on the mean values of the studied traits. Out of the 11 rice genotypes, seven genotypes proved to be high yield and its components and these genotyped could be candidate for progress evaluations for developing new varieties with desirable traits. | ||||
| Keywords | ||||
| rice; field evaluation; correlation coefficient | ||||
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