Genetic Variability and Inter Relationship between Yield and Yield Components in Some Rice Genotypes (original) (raw)
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Genetic variability analysis for various yield attributing traits in rice genotypes
Journal of the Bangladesh Agricultural University, 2017
An experiment was conducted using a randomized complete block design to estimate genetic variability of ten rice genotypes. Analysis of variance for yield and yield contributing traits showed significant (p<0.01) variation among the genotypes. Results of genetic analyses showed a higher phenotypic coefficient of variation compared to their corresponding genotypic coefficient of variation for all the traits measured, which indicates that the traits were influenced by environment. The magnitude of difference between phenotypic coefficient of variance (PCV) and genotypic coefficient of variance (GCV) was less for the traits indicating little influence of environment. The higher estimates of PCV and GCV were observed for number of filled grains panicle–1 (27.53; 26.84), number of unfilled grains panicle–1 (26.76;25.28) and plant height (23.14; 23.00) indicates possibility of genetic improvement through direct selection for these traits, while days to 50% flowering, days to maturity, panicle length, number of effective tillers plant–1, fertility (%), 1000 Seed weight and yield panicle–1 showed low PCV and GCV values indicating the need for creation of variability by hybridization or mutation followed by selection. High heritability values (>60%) along with high genetic advance and genetic advance as percentage of mean were found for all the traits indicating prevalence of additive gene action, which provides good scope for further improvement by selection.
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The current study was carried out to evaluate genetic factors such as Genotypic Coefficient of Variation (GCV), phenotypic coefficient of variation (PCV), heritability and genetic advance (GA) along with correlations, path coefficients and Genetic divergence from data collected on 22 rice genotypes. The results demonstrated significantly significant mean squares owing to genotypes for all variables investigated, demonstrating that there is adequate variation among genotypes and thus ample possibility for successful selection. Only seed yield per plant showed a high Phenotypic Coefficient of Variation (PCV). Moderate phenotypic coefficient of variation and Genotypic Coefficient of Variation (GCV) observed for number of tillers/plant, number of spikelets/panicle, flag leaf length, flag leaf width, number of filled grains/panicle,1000-grain weight and biological yield. High heritability and genetic advance as per cent of mean was observed for number of tillers/plant, number of sp...
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An experiment was performed to evaluate the variability parameters of the quantitative features in fifteen rice genotypes planted during the growing seasons of 2020 and 2021. These genotypes were grown in three replications with a randomized complete block design. For all of the studied characters, analysis of variance revealed that variations between the genotypes were highly significant. Among the studied phenotypic and genotypic parameters, the number of filled grains/panicles showed the highest variations, while grain width had the lowest value in this respect. The highest genotypic coefficient of variation (GCV) was found for grain yield while hulling rice % had the lowest GCV. In yields, the genotypic and phenotypic coefficients were the highest, clarifying the action of additive genes in commanding these traits. Most of the studied traits had a high heritability. The highest genetic advance value (98.06) was determined for the number of filled grains/panicles, while total chl...
Genetic Variability Studies for Yield and Related Attributes in Rice Genotypes (Oryza sativa L
The present investigation was carried out during kharif 2012 at Research Farm of Genetics and Plant Breeding, Narendra Deva University of Agriculture and Technology, Narendra Nagar, Faizabad (Uttar Pradesh). The experimental material comprised of one hundred genotypes of cultivated rice and four standard check varieties (Sarjoo-52, NDR 359, PB-1 and CSR 30).Observations were obtained for days to 50% flowering, flag leaf area, plant height, panicle bearing tillers per plant, panicle length, number of spikelet's per panicle, spikelet fertility, 1000-grain weight, kernel length, kernel width, L/B ratio, biological yield per plant, harvest index, grain yield per plant. Analysis of variance showed highly significant differences due to treatments for all the characters. A wide range of phenotypic and genotypic coefficient of variability was observed. The high magnitude (>20%) of PCV along with GCV was observed for grain yield per plant, biological yield per plant, flag leaf area, number of spikelet's per panicle, panicle bearing tillers per plant, L/B ratio. Whereas, flag leaf area, 1000-grain weight, L/B ratio, kernel width and plant height showed high estimates of heritability. Harvest index, L/B ratio, flag leaf area, number of spikelet per panicle and kernel width showed high genetic advance in percent of mean. The present study revealed that there was highly genetic variability among the tested genotypes, indicating that it could be used for further improvement in rice breeding.
Genetic diversity analysis for grain yield and yield components in rice
Research Article, 2021
The present investigation was undertaken with 82 rice genotypes to estimate genetic divergence of the genotypes for yield and yield components. The study involved 70 genotypes from Maruteru, six from Machilipatnam, three from Bapatla, two from Phillippines and one from Pulla. The diversity was evaluated using multivariate analysis technique of Mahalanobis D 2. The 82 rice genotypes studied were grouped into ten clusters. Cluster IV was observed to be the largest with 22 genotypes, followed by Cluster I with 17 genotypes and Cluster V with 13 genotypes. The clusters, VII, VIII, IX and X were monogenotypic. The pattern of distribution of genotypes into various clusters was observed to be at random with no relation to geographical diversity. Results on inter-cluster distances revealed maximum diversity between genotypes of cluster IX and cluster X, while intra-cluster distance was noticed to be maximum for cluster V. Cluster III had recorded maximum grain yield per plant. Further, maximum contribution towards genetic divergence was noticed by filled grains per plant (47.03%), followed by ill-filled grains per plant (21.92%) and minimum by days to 50 per cent flowering (0.01%).
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Five exotic rice genotypes along with a local check were evaluated for yield and yield contributing traits under the climatic conditions of Swat. Minimum days to flowering were taken by rice genotype YUNLEN2 (59.7 days) and were 14 days early in maturity ...
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Bangladesh Journal of Agricultural Research, 2010
The knowledge of genetic variability in a given crop species for characters under improvement is important in any plant breeding programme. Heritability with genetic advance are more helpful in predicting the gain under effective selection. Genetic parameters for yield and its correspondent characters in rice were estimated from a trial with four CMS lines, eight testers and thirty-two hybrids evaluated for thirteen characters related to yield. Low, moderate, and high genotypic and phenotypic coefficient of variations were observed. High genotypic and phenotypic coefficient of variations were expressed by harvest index, total number of filled spikelets per panicle, 100-grain weight and spikelet fertility percentage. High heritability coupled with high genetic advance was exhibited by harvest index, total number of chaffy spikelets per panicle, grain yield per plant, total number of filled spikelets per panicle and spikelet fertility percentage and selection may be effective for thes...
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Genetika, 2014
A study was undertaken to find out the genetic variability and correlation between yield and other yield attributing characters of rice genotypes in upland ecology. The experiment was conducted with twenty two upland genotypes grown during Wet season under direct seeded condition in a randomized block design. Analysis of variance shows significance in all the traits indicating the presence of considerable amount of genetic variation among the genotypes. The traits like plant height, ear bearing tiller and yield has high genotypic coefficient of variance, phenotypic coefficient of variance and genetic advance. Plant height, ear bearing tiller, panicle length, panicle weight and length were positively and significantly correlated with yield. Plant height and grain per panicle, 50% flowering, thousand grain weight and ear bearing tiller has high direct effect on yield. Therefore, selection based on plant height, 50% flowering, thousand grain weight and ear bearing tiller could be more ...
Genetic Variation of Quantitative and Quality Traits in Rice Varieties
Annals of Bangladesh Agriculture, 2020
An investigation was carried out to study the genetic parameters and character association for yield, yield attributing, quality and nutritional traits of twelve rice varieties. Analysis of variance revealed significant differences for all the traits under study indicated the presence of wide genetic variability among the genotypes. Small differences between genotypic coefficient of variation and phenotypic coefficient of variation were recorded for all the characters studied which indicated less influence of environment on these characters. High heritability coupled with high genetic advance was observed for zinc content (brown) and number of chaffy grain per panicle exhibited, indicating that simple selection could be effective for improving these characters. Yield per hill had the highest positive direct effect. This study revealed that yield per hill, days to 50% flowering, days to maturity, panicle length and thousand grain weight are the most important yield contributing chara...
2017
A study on genetic variability, heritability and genetic advance for seed yield and component traits was made in 40 genotypes of rice during kharif 2011-2012 at SHIATS, Allahabad. The analysis of variance showed highly significant differences among the treatments for all the 13 traits under study. The genotypes namely CN 1446-5-8-17-1-MLD4 and CR 2706 recorded highest mean performance for panicles per hill and grain yield. The highest genotypic and phenotypic variances (VG and VP) were recorded for spikelets per panicle (3595.78 and 3642.41) followed by biological yield (355.72 and 360.62) and plant height (231.48 and 234.35).High heritability (broad sense) coupled with high genetic advance was observed for plant height, flag leaf length, panicles per hill, tillers per hill, days to maturity, spikelet's per panicle, biological yield, harvest index, 1000 grain weight and grain yield, indicating that selection will be effective based on these traits because they were under the influence of additive and additive x additive type of gene action. Highest coefficient of variation (PCV and GCV) was recorded for tillers per hill (18.42% and 17.23%), panicle per hill (19.76 % and 18.68%), spikelet's per panicle (34.30 and34.07 %), biological yield (28.31 % and 28.12 %), 1000 grain weight (15.57 % and 15 31 %) and grain yield (46.66% and 23.54 %), indicating that these traits are under the major influence of genetic control, therefore the above mentioned traits contributed maximum to higher grain yield compared to other traits, indicating grain yield improvement through the associated traits.