Assessment of genetic variability, correlation and path coefficient analysis for morphological and quality traits in rice (Oryza sativa L.)

2017 ◽  
Author(s):  
Karthika Gunasekaran ◽  
Rajeswari Sivakami ◽  
Robin Sabariappan ◽  
Govintharaj Ponnaiah ◽  
Vishnu Varthini Nachimuthu ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Oryza Sativa L ◽  
Dominant Gene ◽  
High Yield ◽  
Path Coefficient ◽  
Quality Traits ◽  
Path Coefficient Analysis ◽  
High Heritability ◽  
Rice Genotypes

Nine rice genotypes were evaluated for this present study. Genetic variability parameters, correlation and path coefficient analysis were estimated for eleven agronomic and quality traits. Among all the genotypes, ASD 16 recorded highest significant grain yield per plant. In this present study, the PCV was higher than GCV for all the characters studied. The grain yield per plant recorded highest GCV, high heritability coupled with high genetic advance which indicates that the trait were governed by epistasis and dominant gene action. Number of productive tillers per plant and thousand grain weight showed positive significant correlation and direct effects on grain yield per plant. The purpose of this study is to estimate the amount of variability present in this material, which in turn helps to select these material for further breeding programme to develop high yield hybrids combine with blast and leaf folder resistance.

scholarly journals GENETIC DIVERSITY, CHARACTER ASSOCIATION AND PATH COEFFICIENT ANALYSIS OF EXOTIC RICE GENOTYPES (Oryza sativa L.)

2012 ◽  
Vol 25 (1) ◽  
pp. 25-29
Author(s):  
A. A. Mamun ◽  
N. A. Ivy ◽  
M. G. Rasul ◽  
M. A. K. Mian ◽  
M. M. Hossain
Keyword(s):  
Grain Yield ◽  
Oryza Sativa L ◽  
Path Coefficient ◽  
Genetic Advance ◽  
Gene Effects ◽  
Grain Length ◽  
Additive Gene ◽  
High Heritability ◽  
Rice Genotypes ◽  
Selection For

Fifty exotic rice genotypes along with two check varieties were studied to measure the variability among the genotypes for yield and yield contributing characters, estimate genetic parameters, association among the characters and their contribution to yield. High genotypic co-efficient of variation (GCV) was observed for days to 50% flowering, days to first flowering and spikelet sterility whereas low genotypic co-efficient of variation (GCV) was observed for grain length and filled grains per panicle. High heritability with high genetic advance in percent of mean was observed for days to 50% flowering and pollen sterility indicated that this trait was under additive gene control and selection for genetic improvement for this trait would be effective. On the other hand, high heritability with low genetic advance in percent of mean was observed in days to harvesting and grain length which indicated that non-additive gene effects were involved for the expression of this character and selection for such trait might not be rewarding. Correlation studies revealed that highest significant positive association of grain yield was with days to first flowering, days to harvesting, filled grains per panicle followed by grain length at genotypic and phenotypic level. Path co-efficient analysis revealed that maximum direct contribution towards grain yield with days to harvesting followed by filled grains per panicle.DOI: http://dx.doi.org/10.3329/bjpbg.v25i1.17009

Correlation and path coefficient analysis of grain quality traits in Rice (Oryza sativa L.)

2016 ◽  
Author(s):  
R. Premkumar ◽  
R. P. Gnanamalar ◽  
C. R. Anandakumar
Keyword(s):  
Grain Yield ◽  
Direct Effect ◽  
Grain Quality ◽  
Oryza Sativa L ◽  
Expansion Ratio ◽  
Path Coefficient ◽  
Quality Traits ◽  
Path Coefficient Analysis ◽  
High Positive Correlation ◽  
Positive Direct

Studies on character association and path-coefficient analysis were conducted on forty three rice genotypes including thirty hybrids and thirteen parents for grain quality traits on grain yield. Analysis of variance revealed considerable variability among the genotypes for all the characters studied. The correlation analysis indicated that grain yield was significantly associated with kernel breadth, breadth wise expansion ratio and water uptake at genotypic level. Results of path-coefficient analysis revealed linear elongation ratio had the highest positive direct effect on grain yield followed by breadth wise expansion ratio, gel consistency, kernel L/B ratio and alkali spreading value. This study revealed that genetic improvement of grain quality in rice is admissible by selecting characters having high positive correlation and positive direct effect on grain yield.

scholarly journals Genetic Variability, Heritability And Correlation Analysis In Quantitative Traits Of Irrigated Rice (Oryza Sativa L.)

2018 ◽  
Vol 15 (3) ◽  
pp. 729-735
Author(s):  
Shiva Acharya ◽  
Abhisek Shrestha ◽  
Narayan Acharya ◽  
Ankur Poudel ◽  
Suvarna Acharya
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Plant Height ◽  
Harvest Index ◽  
Oryza Sativa L ◽  
Block Design ◽  
Genetic Advance ◽  
Irrigated Rice ◽  
High Heritability ◽  
Rice Genotypes

A study was carried out to assess the genetic variability among the genotypes, correlation among traits and heritability of the traits to next generation. Eight rice genotypes were evaluated in Randomized Complete Block Design (RCBD) with three replications during Kharif (June-October) 2017 in experimental field of Lamjung Campus, Sundarbazaar, Lamjung, Western Nepal. The analysis of variance revealed statistically significant differences for all the traits under studied, which showed the presence of genetic variability among the genotypes except ineffective tiller per m2. The higher value of GCV and PCV was recorded for grain per panicle, filled grain per panicle, harvest index and grain yield. The PCV value was observed higher than the GCV value which indicated the influence of environment on the expression of the traits. High heritability along with high genetic advance as percent of mean was observed for grain per panicle, panicle length, harvest index and grain yield. However, high heritability along with moderate genetic advance as percent of mean was observed for days to 50% flowering, 1000 grain weight and plant height. The effective tiller per m2, harvest index,grain per panicle and filled grain per panicle exhibited significant and positive correlation with grain yield. Plant height and ineffective tiller perm2 exhibited negative correlation with grain yield. Grain per panicle, harvest index and grain yield could be suitable traits for selection of the rice genotypes.

scholarly journals Correlation and Path Coefficient Studies in F2 Populations of Rice

2012 ◽  
Vol 4 (2) ◽  
pp. 124-127 ◽  
Author(s):  
Ghaffar KIANI ◽  
Ghorbanali NEMATZADEH
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Selection Criteria ◽  
Stepwise Regression ◽  
Path Coefficient ◽  
Direct Effects ◽  
Panicle Length ◽  
Path Coefficient Analysis ◽  
Yield Variation ◽  
Rice Genotypes

This study performed to determine the association between grain yield and yield components in fifty-four selected rice genotypes at F2 populations. Results showed that traits, the panicles per plant (r = 0.751) and filled grains per panicle (r = 0.458) correlated significantly with grain yield, while grain yield was negatively associated with non-filled grains per panicle (-0.297). Path coefficient analysis revealed that grain yield was associated with panicles per plant and filled grains per panicle with the direct effects of 0.691 and 0.568, respectively. The greatest indirect effect belonged to panicle length (0.301) through filled grains per panicle. Stepwise regression analysis showed that 72.1 percent of yield variation could be explained by three characters: the panicles per plant, filled grains per panicle and panicle length. Information obtained in this study revealed that traits, the panicles per plant and filled grains per panicle, could be used as selection criteria for grain yield improvement at segregating populations of rice.

scholarly journals Interrelationship and Cause - Effect Analysis for Yield and Yield Attributing Traits in Rice (Oryza sativa L.) Genotypes

2020 ◽  
pp. 511-518
Author(s):  
B. Soundharya ◽  
Ramya Rathod ◽  
Firdoz Shahana ◽  
Y. Swathi ◽  
P. Jalender Naik ◽  
...  
Keyword(s):  
Oryza Sativa L ◽  
Positive Association ◽  
Test Weight ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Effect Analysis ◽  
Rice Genotypes ◽  
Selection For ◽  
High Yielding Varieties ◽  
Positive Direct

The basic aim of plant breeders is to improve the yielding potential of existing varieties along with creation of new high yielding varieties. This experiment was carried out to study the association of yield and yield attributing traits along with path coefficient analysis among twenty rice genotypes. Analysis of variance revealed the existence of significant differences in genotypes for all the characters studied. Grain yield had positive significant association with ear bearing tillers/m2 (0.5395**/0.6264**), number of filled grains per panicle (0.5236**/0.5774**) and test weight (0.2575*/0.2560*) and days to 50 percent flowering (0.3294**/0.3648**), It indicates that these characters are important for yield improvement. Path coefficient analysis revealed maximum positive direct effect of number of filled grains per panicle (1.4128/1.8979), test weight(1.1812/1.5927), days to fifty percent flowering (0.2404/0.1669), ear bearing tillers (0.0159/0.1224) and panicle length(0.0710/0.0813). Selection for the traits with positive association and direct effects will be useful for the improvement in yield of rice through breeding programme.

scholarly journals GENETIC VARIABILITY FOR GRAIN NUTRIENTS CONTENT IN COASTAL RICE COLLECTIONS OF BANGLADESH

2021 ◽  
Vol 9 (11) ◽  
pp. 182-201
Author(s):  
F Shahrin ◽  
P Roy ◽  
M S Raihan ◽  
M M Haque ◽  
M G Rasul
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Rice Grain ◽  
Clustering Methods ◽  
Gene Effects ◽  
Mean Values ◽  
Nutrient Contents ◽  
Additive Gene ◽  
High Heritability ◽  
Rice Genotypes

Overcoming malnutrition through biofortification breeding in rice is aimed to assist nutritional food security in Bangladesh. So to select parents for nutritional improvement, estimation and exploitation of mineral nutrients reserves of rice grain and their variability assessment in different genotypes is essential. Eighty-five (85) T. aman rice genotypes collected from different coastal regions of Bangladesh were evaluated at the Advanced Plant Breeding laboratory, GPB of BSMRAU to estimate the grain nutrients content and to elucidate their genetic variability among the genotypes. Considerable significant variation (0.1% level of probability) was noted among the genotypes for studied different grain nutrient contents and yield per hill. The mean values of N, P, K, Ca, Mg, Na, Zn, Fe, Cu, Mn and grain yield/ hill were 10788.24 mg/kg, 804.85 mg/kg, 3798.58 mg/kg, 13795.29 mg/kg, 2778.87 mg/kg, 3771.17 mg/kg, 7.25 mg/kg, 5.01 mg/kg, 1.05 mg/kg, 1.90 mg/kg and 433.29 g, respectively. Box and whisker plots analysis were done to represent data graphically for better understanding. Histogram was used to present the frequency distribution of genotypes for N, P, K, Ca, Mg, Na, Zn, Fe, Cu, Mg and Grain yield/hill content in 85 diverged rice genotypes All the traits had equality in genotypic and phenotypic variances with high heritability and high genetic advance which indicated preponderance of additive gene effects for these traits. The genotype R080 (Chinigura) contained the highest content of grain P, Fe and Cu. The R030 (Mota Dhan), R040 (Dudh Kalam) and R019 (Chikon Dhan) were noted for the highest Ca, Mg and Na content, respectively. The maximum N and Zn content were observed in R029 (Dudh Kolom) and R075 (Gopal Bogh), respectively. R083 (Lal Dhan) was marked for the highest grain yield/ hill and K content. Genetic variability parameters, heat map analysis and neighbor joining clustering methods indicated these genotypes including R079 can be considered for biofortification program and used as parents for the improvement of those grain nutrients in rice breeding.

scholarly journals Studies on Correlation and Path Coefficient Analysis in Hybrid Rice (Oryza sativa L.) for Yield and Quality Traits

2021 ◽  
Vol 12 (5) ◽  
pp. 496-505
Author(s):  
M. Vennela ◽  
◽  
B. Srinivas ◽  
V. Ram Reddy ◽  
N. Balram ◽  
...  
Keyword(s):  
Grain Yield ◽  
Path Analysis ◽  
Plant Height ◽  
Grain Weight ◽  
Spikelet Fertility ◽  
Path Coefficient ◽  
Quality Traits ◽  
Path Coefficient Analysis ◽  
Kernel Length ◽  
1000 Grain Weight

The present investigation was carried out at Regional Agricultural Research Station, Polasa, Jagtial, Telangana state, India to study the correlation and path coefficient analysis towards yield, physical and chemical quality traits in 46 genotypes including two checks in Randomized Block Design with two replications during kharif, october, 2019. Association of yield and yield components and among grain yield characters makes us to understand their relationship towards selecting a high yielding and good quality varieties. The result from the study revealed that all the nineteen characters studied has shown a great range of variation for correlation and path analysis. The character association studies in this experiment revealed that the trait grain yield plant-1 had showed significant positive correlation with plant height, spikelet fertility, 1000 grain weight, milling %, hulling %, kernel length and kernel breadth whereas it showed negative and non-significant association with days to 50% flowering. The path analysis studies revealed that kernel length was the major contributor for grain yield plant-1 followed by plant height, spikelet fertility, number of grains per panicle, 1000 grain weight, milling %, gel consistency, amylose content and alkali spreading value. These characters showed direct positive effects for grain yield plant-1. From the study it can be concluded that the above characters can be used directly as the selection criteria in any rice yield improvement breeding programmes.

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