Trait expression studies of indigenous Joha rice of Assam under organic and inorganic culture (original) (raw)
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International Journal of Botany Studies, 2020
Twelve diverse genotype of Joha rice comprising ten local germplasm and two improved genotypes were tested for important biochemical traits under organic and inorganic culture. Two different sites of practices used in a randomized block design with three replicates. The analysis of variance shows that the mean squares of all the biochemical character have significant difference among the genotypes in both organic and inorganic culture. The highest coefficient of variation (CV %) was recorded for Chlorophyll b content under organic (9.32%) and inorganic (16.08%) condition. The mean performance of all the genotypes for the biochemical characters revealed that except iron content character all the biochemical characters have higher mean performance for inorganic culture than organic culture. The genetic parameter analysis shows that the iron content was recorded highest in value for both culture conditions. Most of the biochemical character except amylose content and crude protein content shows better response in inorganic condition than organic condition. The characters were shows negatively correlation with the grain yield per plant in both genotypic and phenotypic level. The crude protein character shows significant negative correlation with yield in both organic and inorganic culture. Based on the performance of 12 Joha genotype in inorganic and organic culture, Bokul Joha was found superior for both cultures, which is improved cultivar of aromatic rice. The genotypes Kunkuni Joha, Kali Jeera, Keteki Joha and Local Joha could be investigated for GE interaction over location and years.
Genetic variability and trait association in Jhum Rice of Arunachal Pradesh, India
Emergent Life Sciences Research
The study comprised of 19 jhum rice landraces from different parts of Arunachal Pradesh. The analysis of variance based on 14 quantitative traits revealed significant traits-wise variations across the genotypes. Based on cluster analysis the landraces were grouped into 3 distinct clusters. Principal component analysis (PCA) extracted 5 principal components (Eigen value >1) with 80.5 % of the total variance. About 60.4% of the cumulative variance was exhibited by the first three principal components. Traits like grain yield (GY), plant height (PH), primary branch per panicle (PBP), filled grain per panicle (FGP), test grain weight (TGW) and grain morphology exhibit heavy positive loadings in these first PCs. The value of the phenotypic coefficient of variation (PCV) was higher than the corresponding genotypic coefficient of variation (GCV) for most of the traits. The traits exhibits moderate to high PCV, GCV, heritability and genetic advance as a percent of the mean (GAM). High he...
Agriculture (Pol'nohospodárstvo)
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...
International Journal of Current Microbiology and Applied Sciences, 2020
Rice is one of the important cereal crops of the world. It is the main cultivated crop in India as well as in Assam. In Assam, a large number of indigenous rice cultivars are grown by the farmers and a number of such cultivars have been genetically improved through breeding programmes. Assam, being one of the centres of diversity of rice, harbours very rich genetic resources for different traits of importance for immediate utility as well as for the future. Joha rice is a one of the rice classes which is mostly grown in Assam. This class of rice enjoys a unique position in terms of popularity. The Joha rice cultivars are known for its strong aroma, fine grain, good cooking qualities and excellent palatability International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 9 Number 11 (2020) Journal homepage: http://www.ijcmas.com
Biological Forum – An International Journal, 2023
With current trend in the population growth, the demand for food in most parts of the world is increasing year by year. However, variability in yield among the crop species may be exhausted sooner or later, limiting the potential for additional crop improvement. As a result, understanding the genetic diversity of crop species is crucial for any crop improvement programmes. Hence the present investigation was carried out at Indian Institute of Rice Research, Hyderabad during kharif 2022 with 96 rice lines to assess the genetic variability for yield and its attributing traits. Analysis of variance revealed highly significant differences for all the traits studied. The estimates of PCV were slightly higher than the corresponding GCV for days to 50% flowering, days to maturity, plant height, panicle length, number of grains/panicle, weight of grains/panicle, 1000 grain weight and SPAD indicating that direct selection can be practiced for these characters. High heritability with high genetic advance were recorded for days to 50% flowering, flag leaf length& width, number of grains/panicle, weight of grains/panicle, 1000 grain weight and SPAD before booting indicating predominance of additive gene action. Correlation studies revealed that, the grain yield/plot had a significant and positive association with number of productive tillers/meter (0.27), weight of grains/panicle (0.32), biomass/plot (0.93) and harvest index (0.40). Tocher's clustering approach was used to group all genotypes into 10 clusters in which, cluster II was found to be the largest with 47 genotypes.
International Journal of Current Microbiology and Applied Sciences
The study was carried out to characterize and access the genetic parameters and character association for eight morphological traits of forty maize landraces collected from 9 districts of Manipur. The accessions were characterized according to three important phenotypic traits, viz., Kernel Colour, Kernel Shape and Kernel Row Arrangement. There were great variations amongst the accessions with regard to kernel colour and kernel shape. Out of the total accessions different kernel colours were observed viz., yellow (9), variegated (9), white (8), black (6), red (4), purple (2), brown (1) and orange (1). Variations due to kernel shape are leveled (25), rounded (10), indented (2), pointed (1), sharply pointed (1), and shrunken (1). Variation due to kernel row arrangement are regular (23), irregular (7), straight (6) and spiral (4). The analysis of variance revealed highly significant differences for all the traits under study indicating adequate for selection. The high estimates for PCV and GCV were obtained for No. of kernels cob-1 , 100 kernel wt. and seed yield 5 sq. m-1 revealing that the landraces have a broad genetic background that will respond positively to selection for improving these traits. The correlation coefficients analysis show that the days to maturity and number of kernels cob-1 had significant and positive correlation with seed yield.
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 Variability and Inter Relationship between Yield and Yield Components in Some Rice Genotypes
American Journal of Experimental Agriculture, 2012
farm during the season 2009/10 to study genetic variability and correlation between yields, yield components in some rice genotypes. The experiment was laid out in a randomized complete block design (RCBD) with three replications. Seven characters were measured including yield, yield components. Phenotypic (2 p h δ) and genotypic (2 g δ) variances, phenotypic (PCV) % and genotypic (GCV) %, coefficients of variation were estimated. Phenotypic and genotypic correlation between characters was determined. The results showed that there were highly significant differences (p≤0.01) between the most of the characters under study except for percentage of unfilled grains per panicle (%). The highest values of phenotypic and genotypic variance were recorded by yield kgha-1 Also grain yield was attained the highest values of phenotypic and genotypic coefficients of variation. Positive phenotypic and genotypic correlation coefficient was detected between grain yield and number of filled grains per panicle, harvest index, panicle length and number of grains per panicle. 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 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.