scholarly journals Genetic variability analysis for various yield attributing traits in rice genotypes

2017 ◽  
Vol 15 (1) ◽  
pp. 15-19
Author(s):  
MM Rashid ◽  
M Nuruzzaman ◽  
L Hassan ◽  
SN Begum
Keyword(s):  
Genetic Variability ◽  
Coefficient Of Variation ◽  
Block Design ◽  
Direct Selection ◽  
Genetic Advance ◽  
Randomized Complete Block Design ◽  
Additive Gene ◽  
High Heritability ◽  
Rice Genotypes ◽  
Selection For

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.J. Bangladesh Agril. Univ. 15(1): 15-19, January 2017

scholarly journals Analysis of genetic variability, heritability and genetic advance for yield and yield associated traits in some promising advanced lines of rice

2015 ◽  
Vol 26 (1) ◽  
pp. 26-31 ◽  
Author(s):  
MA Islam ◽  
SA Raffi ◽  
MA Hossain ◽  
AK Hasan
Keyword(s):  
Genetic Variability ◽  
Block Design ◽  
Grain Weight ◽  
Genetic Advance ◽  
Thousand Grain Weight ◽  
Randomized Complete Block Design ◽  
Days To Maturity ◽  
Additive Gene ◽  
High Heritability ◽  
Grain Width

A field experiment was conducted using twenty three rice genotypes including three check varieties during the period from June to December, 2013, at the Agronomy Field Laboratory, Department of Agronomy, Bangladesh Agricultural University, Mymensingh to study genetic variability, heritability and genetic advance (GA) for yield and yield associated traits in rice. The experiment was laid down in a randomized complete block design with three replications. Plant height, number of filled grains per panicle, days to 50% flowering, thousand grain weight, grain width and grain yield showed relatively high genotypic co-efficient of variation (GCV) and phenotypic co-efficient of variation (PCV) estimates. The PCV were higher than GCV for all eight traits indicating that they all interacted with the environment to some extent. High heritability was obtained for grain width (88.54%), followed by days to 50% flowering (87.61%), thousand grain weight (81.96%), grain length (81.94%), days to maturity (81.81%) and number of filled grains per panicle (78.19%) which indicates high heritable portion of variation. High to medium estimates of heritability and genetic advance were obtained for number of filled grains per panicle (18.97), days to 50% flowering (11.89), days to maturity (12.16) indicating the roles of additive gene action and a good scope of selection using their phenotypic performance. Considering, all of these characters, filled gains per panicle and days to 50% flowering and maturity were important yield related traits and could be used for selection in rice breeding programs.Progressive Agriculture 26:26-31, 2015

scholarly journals Variability, Heritability, Genetic Advance and Interrelationships for Agronomic and Yield Traits of Sorghum B-Lines under Different Environments

2018 ◽  
pp. 1-13
Author(s):  
A. M. M. Al-Naggar ◽  
R. M. Abd El-Salam ◽  
M. R. A. Hovny ◽  
Walaa Y. S. Yaseen
Keyword(s):  
Grain Yield ◽  
Coefficient Of Variation ◽  
Block Design ◽  
Selection Criterion ◽  
Genetic Advance ◽  
Planting Dates ◽  
High Heritability ◽  
Selection For ◽  
Strength Of Association ◽  
B Lines

Information on heritability and trait association in crops assist breeders to allocate resources necessary to effectively select for desired traits and to achieve maximum genetic gain with little time and resources. The objectives of this investigation were to determine the amount of genetic variability, heritability, genetic advance and strength of association of yield related traits among sorghum lines under different environments in Egypt. Six environments with 25 sorghum B-lines were at two locations in Egypt (Giza and Shandaweel) in two years and two planting dates in one location (Giza). A randomized complete block design was used in each environment with three replications. Significant variation was observed among sorghum lines for all studied traits in all environments. Across environments, grain yield/plant (GYPP) showed positive and significant correlations with number of grains/plant (r = 0.71), days to flowering (r = 0.47), 1000-grain weight (r = 0.16) and plant height (PH) (r = 0.19). In general, the estimates of phenotypic coefficient of variation (PCV) were higher than genotypic coefficient of variation (GCV). Combined across the six environments, the highest PCV and GCV was shown by PH trait (95.14 and 43.57%) followed by GYPP (36.42 and 30.78%), respectively, indicating that selection for high values of these traits of sorghum would be effective. GYPP and PH traits showed high heritability associated with high genetic advance from selection, indicating that there are good opportunities to get success in improvement of these traits via selection procedures. Results concluded that PH is good selection criterion for GYPP and therefore selection for tall sorghum plants would increase grain yield.

scholarly journals GENETIC VARIABILITY OF RICE GENOTYPES (Oryza sativa L.)

2011 ◽  
Vol 24 (2) ◽  
pp. 31-35
Author(s):  
P. C. Roy ◽  
M. G. Rasul ◽  
M. A. K. Mian ◽  
M. A. H. Molla
Keyword(s):  
Coefficient Of Variation ◽  
Oryza Sativa L ◽  
Phenotypic Variance ◽  
Genetic Advance ◽  
Environmental Variance ◽  
Additive Gene ◽  
High Heritability ◽  
Rice Genotypes ◽  
Hill Number ◽  
Genotypic Coefficient Of Variation

An attempt was made to study genotypic variance, phenotypic variance, environmental variance, genotypic coefficient of variation (GCV), phenotypic coefficient of variation (PCV), heritability (h2b) and genetic advance (GA) for some rice genotypes during July 2007 to January 2009 at BSMRAU campus, Gazipur 1706. Significant variations were obtained among the genotypes for all the characters studied. Considering genetic parameters high genotypic coefficient of variation (GCV) value was observed for harvest index followed by yield per hill, number of tillers per hill, number of filled grain per panicle, whereas days to maturity showed very low GCV. High heritability with high genetic advance (GA) observed for yield per hill followed by number of tillers per hill, number of filled grains per panicle indicated that these characters were under additive gene control and selection for genetic improvement for these traits might be effective.DOI: http://dx.doi.org/10.3329/bjpbg.v24i2.17004

scholarly journals Genetic, Heritability and Genetic Advance of Progenies Derived from Hybridization of Vanda ‘Adrienne’ × Ascocenda ‘Peggy Foo’ with Vanda malinii × Vanda denisoniana Benson & Rchb.f. in vivo

2019 ◽  
Vol 11 (2) ◽  
pp. 233-240
Author(s):  
Minangsari DEWANTI ◽  
Suskandari KARTIKANINGRUM ◽  
Mega WEGADARA ◽  
Budi WINARTO
Keyword(s):  
Genetic Variability ◽  
Phenotypic Variability ◽  
Block Design ◽  
Genetic Advance ◽  
Genetic Heritability ◽  
Randomized Complete Block Design ◽  
Additive Gene ◽  
Number Of Leaves ◽  
Crop Research

Hybridization is the process on interbreeding between individuals of different species or genetically divergent individuals from the same species to produce new progenies with their uniqueness and differences, involving in Vanda. Aim of this research was to explore genotypic and phenotypic variability, heritability and genetic advance of progenies derived from hybridization of Vanda ‘Adrienne’ × Ascocenda ‘Peggy Foo’ with Vanda malinii × Vanda denisoniana Benson & Rchb.f, and to find best characters used for selection. The experiment was conducted at Segunung Experimental Garden of Indonesian Ornamental Crop Research Institute (IOCRI) on altitude of 1100 m above sea level from June 2013 until December 2016. Thirteen genotypes derived from hybridization of V. ‘Adrienne’ × A. ‘Peggy Foo’ with V. malinii × V. denisoniana of 1A, 2A, 21A, 27A, 50A, 52A, 98A, 101A, 102A, 113A, 116A, 120A, and 120B were used in the study. The experiment was arranged in a Randomized Complete Block Design (RCBD) with three replications. Results of the study indicated that range of genetic variability was varied from 1.2-184.7% with wide genetic variability determined on number of leaves per plant (NLP) up to 26.5% with 184.7% for leaf width (LW) and 24.7% for spike length (SL). Moderate heritability of 25.2% for NLP, 21.0% for LW and 25.2% for SL coupled with high genetic advance percent of mean up to 59.7% for NLP, 939.7% for LW and 33% for SL, reflecting the presence and expression of additive gene action of these traits. The results indicated the importance of these three characters best used as selection criteria for Vanda genotypes.

scholarly journals Genetic parameters and diversity studies of yield and yield contributing characters in Brassica genotypes

2019 ◽  
Vol 17 (3) ◽  
pp. 295-300
Author(s):  
Taslima Aktar ◽  
Md Nuruzzaman ◽  
Md Shoheh Rana ◽  
Md Monjurul Huda ◽  
Md Amir Hossain ◽  
...  
Keyword(s):  
Block Design ◽  
Mean Value ◽  
Genetic Advance ◽  
Early Maturity ◽  
Breeding Programs ◽  
Randomized Complete Block Design ◽  
Additive Gene ◽  
High Heritability ◽  
The Mean ◽  
Diversity Studies

The potential of a crop to favorably respond to breeding programs depends on its existing nature and magnitude of genetic variability, heritability and genetic advance. An experiment was conducted with eighteen Brassica genotypes following Randomized complete block design (RCBD) with three replications at the field of the department of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh, Bangladesh to estimate genetic divergence, variability ranges and contribution of each trait towards genetic diversity. Analysis of variance showed significant variation among the genotypes for all the studied yield and yield contributing characters. The phenotypic co-efficient of variation (PCV) was higher than the genotypic co-efficient of variation (GCV) for all the characters measured, indicated that the traits were influenced by environment. All traits showed high heritability (61.54% to 98.64%) which indicated possible improvement through selection. High heritability values (>60%) along with high genetic advance and genetic advance in percentage of mean indicated prevalence of additive gene action, which provides good scope for further improvement by selection. The genotypes were grouped into four clusters, most of the genotypes were grouped into Custer I (8 genotypes), while cluster IV contained only one genotype. Considering the mean value, the cluster IV and Cluster II were ranked as the top groups in terms of yield and early maturity. High Heritability with high genetic advance in percentage of mean was observed for number of branches/plant, number of pod/plant, number of seeds/pod and yield/plant and selection focused   on these traits could be useful for future breeding program of Brassica. The genotype BD-7114 was the best performer considering all the studied traits especially yield and days to maturity which could be used as an important breeding material for the improvement of Brassica. J Bangladesh Agril Univ 17(3): 295–300, 2019

scholarly journals Estimates of Genetic Variability in Selected Advanced Breeding Lines of Groundnut for Morphological, Yield and Its Contributing Traits under Imposed End-of-Season Drought Stress

2020 ◽  
pp. 108-118
Author(s):  
G. Chandrashekhara ◽  
Hasanali Nadaf ◽  
B. N. Harish Babu
Keyword(s):  
Genetic Variability ◽  
Block Design ◽  
Development Stage ◽  
Direct Selection ◽  
Control Block ◽  
Breeding Lines ◽  
Pod Development ◽  
Additive Gene ◽  
High Heritability ◽  
Pod Development Stage

Aim: To study genetic variability for morphological, yield and its contributing traits in forty groundnut genotypes. Study Design: Randomized complete block design with two replications. Place and Duration of Study: College of Horticulture, Hiriyur, University of Agricultural and Horticultural Sciences, Navile, Shivamogga, Karnataka, India during Rabi 2016-17. Methodology: Forty genotypes of groundnut were evaluated under irrigated and imposed end-season drought conditions. Crop was taken care as per recommended package of practices. Stress was imposed by withholding irrigation at pod development stage (@90DAS) for 20 days in drought block. However, control block was provided with regular irrigations. Observations on different morphological, yield and its related traits were recorded on randomly sampled five plants per genotype per replication in both stress-full and stress-free environments. The mean data was subjected to statistical analysis using Genstat 14.1 software. Results: The analysis of variance revealed that highly significant differences observed for all the traits even at p <0.01 level indicating the sufficient variability exist among the entries for the traits under study. High genotypic and phenotypic co-efficient of variation, high heritability coupled with high genetic advance over mean was observed for number pods per plant, immature pods per plant, pod yield per plant and hectare, harvest index, kernel yield per plant, fresh weight of seedlings and kernels per plant under moisture deficit condition. Conclusion: It’s a clear evidence for lesser influence of environment and predominance additive gene action in germplasm for these traits which offers opportunity for selection, unvaryingly direct selection for these traits could be effective for developing high yielding drought tolerant genotypes.

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

scholarly journals ANALYSIS OF GENETIC PARAMETERS FOR BEAN PHYSICAL QUALITY CHARACTERS AND CLUSTERIZATIONS OF ELEVEN GENOTYPES OF ROBUSTA COFFEE (Coffea canephora)

2013 ◽  
Vol 14 (2) ◽  
pp. 55
Author(s):  
Rubiyo Rubiyo ◽  
Edi Wardiana
Keyword(s):  
Coefficient Of Variation ◽  
Genetic Parameters ◽  
Block Design ◽  
Coffea Canephora ◽  
Direct Selection ◽  
Genetic Advance ◽  
Physical Quality ◽  
Robusta Coffee ◽  
Randomized Complete Block Design ◽  
Genotypic Coefficient Of Variation

The genetic parameters of coffee related to their bean physical quality characters are important for breeder to improve the  bean quality. Eleven genotypes of robusta coffee were identified and their genetic relationship to the bean physical quality were characterized. The research was conducted at coffee plantation of the Association of Indonesian Coffee Exporters in West Lampung, altitude of 800 m above sea level, Latosol type of soil, and A type of climate, starting from 2010 to 2012. The objectives of this study were to estimate the genotypic coefficient of variation, heritability and genetic advance of the bean physical quality characters, and clusterization analysis of eleven genotypes of robusta coffee. A randomized complete block design with eleven treatments of coffee genotypes and three replications was used in this study. The results showed that the estimated values of genotypic coefficient of variation, heritability and genetic advance for small-size normal bean characters of robusta coffee were very high, so the genetic improvement for these characters has a high probability of success by direct selection. Clusterization of the genotypes resulted three clusters with their respective characteristics. The study implies that future breeding program especially for hybridization should be conducted between genotypes arising from different clusters to obtain the possible high heterosis effects.<br /><br />

Study on genetic variability, heritability and genetic advance in Soybean[Glycine max (L.) Merrill]

2017 ◽  
Author(s):  
Ravindra Kumar Jain ◽  
Arunabh Joshi ◽  
Hem Raj Chaudhary ◽  
Abhay Dashora ◽  
Champa Lal Khatik
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Coefficient Of Variation ◽  
Harvest Index ◽  
Block Design ◽  
Crop Improvement ◽  
Test Weight ◽  
Genetic Advance ◽  
High Heritability ◽  
Weight Number

Soybean, an important legume crop, serves as a good source of protein and oil with tremendous ability to fix atmospheric nitrogen for soil improvement. To study the genetic variability, genotypic, phenotypic and environmental coefficient of variation, broad sense heritability and genetic advance in soybean, a field experiment was conducted during Kharif 2013. The experiment, laid out in a randomized block design (RBD) with three replications, comprised of 24 genotypes and observations on 9 traits of soybean were recorded. In this experiment, analysis of variance indicated that significant variation were present among the different genotypes of the soybean for all the traits under study. The highest genotypic (GCV) and phonotypic coefficient of variation (PCV) were exhibited by the test weight, number of pods per plant, harvest index and plant height. The PCV was found higher than GCV which indicates the important role of environment in the expression of the characters. High heritability and high genetic advance were observed in the test weight, number of pods per plant, harvest index and plant height. The combination of the high heritability and high genetic advance provide the clear image of the trait in the selection process for crop improvement programme.

scholarly journals ANALYSIS OF GENETIC PARAMETERS FOR BEAN PHYSICAL QUALITY CHARACTERS AND CLUSTERIZATIONS OF ELEVEN GENOTYPES OF ROBUSTA COFFEE (Coffea canephora)

2013 ◽  
Vol 14 (2) ◽  
pp. 55
Author(s):  
Rubiyo Rubiyo ◽  
Edi Wardiana
Keyword(s):  
Coefficient Of Variation ◽  
Genetic Parameters ◽  
Block Design ◽  
Coffea Canephora ◽  
Direct Selection ◽  
Genetic Advance ◽  
Physical Quality ◽  
Robusta Coffee ◽  
Randomized Complete Block Design ◽  
Genotypic Coefficient Of Variation

The genetic parameters of coffee related to their bean physical quality characters are important for breeder to improve the  bean quality. Eleven genotypes of robusta coffee were identified and their genetic relationship to the bean physical quality were characterized. The research was conducted at coffee plantation of the Association of Indonesian Coffee Exporters in West Lampung, altitude of 800 m above sea level, Latosol type of soil, and A type of climate, starting from 2010 to 2012. The objectives of this study were to estimate the genotypic coefficient of variation, heritability and genetic advance of the bean physical quality characters, and clusterization analysis of eleven genotypes of robusta coffee. A randomized complete block design with eleven treatments of coffee genotypes and three replications was used in this study. The results showed that the estimated values of genotypic coefficient of variation, heritability and genetic advance for small-size normal bean characters of robusta coffee were very high, so the genetic improvement for these characters has a high probability of success by direct selection. Clusterization of the genotypes resulted three clusters with their respective characteristics. The study implies that future breeding program especially for hybridization should be conducted between genotypes arising from different clusters to obtain the possible high heterosis effects.<br /><br />

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