scholarly journals Genetic Variability, Character Association and Path Analysis in Boro Rice (Oryza sativa L.) Germplasm from Bangladesh

2019 ◽  
Vol 22 (1) ◽  
pp. 35-43
Author(s):  
MZ Islam ◽  
T Chakrabarty ◽  
N Akter ◽  
ESMH Rashid ◽  
M Khalequzzaman ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Coefficient Of Variation ◽  
Oryza Sativa L ◽  
Block Design ◽  
Crop Improvement ◽  
Leaf Length ◽  
Component Traits ◽  
High Heritability ◽  
Positive Significant Correlation ◽  
Boro Rice

The success of varietal development programmme largely depends on the nature and magnitude of genetic variability, heritability and characters association of the crop. The objective of the present study was to estimate the extent of genetic variability and relation between yield and related characters of rice. Forty Boro rice germplasm were evaluated in a randomised complete block design with three replications. Analysis of variance indicated significant differences among the genotypes for 14 quantitative characters. The presence of slightly higher phenotypic coefficient of variation than genotypic coefficient of variation indicated the negligible influence of environment on the expression of yield and its component traits. Leaf length, days to flowering, days to maturity and 1000 grain weight showed highly positive significant correlation present with yield hill-1. High heritability had been observed for yield contributing traits during the study, suggested that these traits would respond to selection owing to their high genetic variability and transmissibility. Therefore, a thorough understanding of the inheritance of traits, their heritability and relationship with other important characteristics is important for the choice of breeding and selection methods for crop improvement. Bangladesh Rice j. 2018, 22(1): 35-43

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.

Genetic Variability for Pod Yield and Component Traits in Sugar Snaps (Pisum sativum var. saccharatum)

2020 ◽  
Author(s):  
Ajay Chauhan ◽  
Akhilesh Sharma ◽  
Parveen Sharma ◽  
Viveka Katoch ◽  
Sanjay Chadha ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Block Design ◽  
Internodal Length ◽  
Breeding Lines ◽  
Pod Yield ◽  
Horticultural Traits ◽  
Component Traits ◽  
Additive Gene ◽  
High Heritability ◽  
Positive Direct

Background: Edible podded pea is an oriental vegetable crop which shares the cultivation pattern with the garden pea. Fresh tender pods lacking parchment layer are consumed whole like beans. It is a newly introduced crop in India and therefore, it would be imperative to identify the most promising genotypes vis-à-vis traits of interest, those contributing towards maximization of yield. The present investigation was, therefore, planned to assess the genetic parameters of variability for pod yield and related horticultural traits in order to identify the most promising edible pod pea genotypesMethods: Thirty six genotypes comprising of 29 F7 advanced breeding lines and nine lines from different institutes including three checks namely, ‘Arka Apoorva’, ‘Arka Sampoorna’ and ‘Mithi Phali’ were evaluated in randomized complete block design over three replications during winters 2016-2017 at C.S.K. Himachal Pradesh Krishi Vishvavidyalaya, Palampur for pod yield and related horticultural traits.Result: Sufficient genetic variability was observed for all morphological and yield contributing attributes. The magnitude of phenotypic (PCV) and genotypic (GCV) coefficients of variation were high for pod yield while branches per plant, internodal length, harvest duration and pods per plant showed high PCV and moderate GCV. High heritability along with high genetic advance was observed for internodal length, plant height, average pod weight and pod yield per plant indicating the importance of additive gene action. Pod yield per plant revealed positive correlation at both phenotypic and genotypic levels with pods per plant, average pod weight, pod length and pod breadth. Pods per plant and average pod weight at both phenotypic and genotypic levels had maximum positive direct and indirect effects to the total association of component traits suggesting the importance of these traits towards pod yield. 

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 Studies on Genetic Variability Parameter under Artificial Epiphytotic Condition for Leaf Rust in Bread Wheat (Triticum aestivum L.)

2019 ◽  
pp. 1-7
Author(s):  
Ashutosh Kumar ◽  
Yashavantha Kumar Kakanur ◽  
Suma Biradar ◽  
Srinivas A. Desai ◽  
T. N. Satisha ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Bread Wheat ◽  
Coefficient Of Variation ◽  
Breeding Programme ◽  
Genetic Advance ◽  
Advanced Backcross ◽  
Slow Rusting ◽  
Component Traits ◽  
High Heritability

Present investigation was conducted to study the genetic variability for grain yield, its component traits and slow rusting component in advanced backcross segregating lines of bread wheat at AICRP on wheat, MARS, UAS, Dharwad, Karnataka during Rabi season of 2015-2016. The study revealed highly significant differences for the yield, its component traits and for slow rusting components, indicating the presence of sufficient genetic variability in these lines which is basis for the effective selection in any breeding programme. High genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) values coupled with high heritability and high genetic advance over mean were recorded for some of the studied traits such as grain yield per plant and no. of productive tillers per plant. Also high PCV and GCV along with high heritability and high genetic advance over mean (GAM) was found for the slow rusting components. The presence of sufficient variability along with high heritability for all these traits indicates that simple phenotypic selection for these traits may be effective for genetic improvement of these traits. Hence based on present findings it can be concluded that practicing selection considering the traits like productive tillers per plant, grain yield per plant along with slow rusting components will be more beneficial for achieving durable type of resistance in future breeding programme.

scholarly journals Assessment of Genetic Variability and Transmissibility Index in Rice Genotypes (Oryza sativa L.)

2021 ◽  
pp. 34-42
Author(s):  
Ashish Sheera ◽  
Nashra Aftab ◽  
Sandeep Rout ◽  
Udit Nandan Mishra ◽  
Bupesh Sharma ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Coefficient Of Variation ◽  
Oryza Sativa L ◽  
Block Design ◽  
Uttar Pradesh ◽  
Grain Filling ◽  
Randomized Block Design ◽  
Significant Difference ◽  
Days To Maturity

Aim: To assess the Genetic Variability among the accession/ genotype and its contributing traits. Methodology: A field experiment was conducted using 35 genotypes including 2 checks of rice during the season of kharif, 2017, at the Field Experimental Centre, Department of Genetics and Plant Breeding, SHUATS, Prayagraj, Uttar Pradesh to evaluate genetic variation and heritability of yield and related traits. The experiment was designed with a randomized block design (RBD) with three replications. Analysis of variance revealed significant difference among the genotypes for all traits indicating existence of genetic variability among the accessions. Results: Highest genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) were recorded for Spikelet’s per panicle, tillers per hill, panicle per hill and grain filling. High heritability in broad sense was obtained for days to 50% flowering (99.6%), days to maturity (98.7%), test weight (97.9%), harvest index (96.9%) and grain yield per hill (96.6%) which is indicating the high heritable portion of variation. High to medium estimate of heritability in genetic advance were obtained for grain yield (38.51), spikelet’s/ panicle (37.94), panicle/ hill (36.97) were indicating the roles of additive gene action and good scope of selection using their phenotype performance. Interpretation: Considering, all of these characters, spikelet’s per panicle, days to 50% flowering and days to maturity were important yield related traits and could be used for selection in future rice breeding programme.

scholarly journals Variability, heritability and genetic advance of maize (Zea mays L.) genotypes

2019 ◽  
Vol 6 (2) ◽  
pp. 163-169
Author(s):  
Sampurna Bartaula ◽  
Urbashi Panthi ◽  
Kiran Timilsena ◽  
Subarna Sharma Acharya ◽  
Jiban Shrestha
Keyword(s):  
Grain Yield ◽  
Coefficient Of Variation ◽  
Block Design ◽  
Crop Improvement ◽  
Growth Yield ◽  
Test Weight ◽  
Phenotypic Correlation ◽  
Genetic Advance ◽  
Improvement Program ◽  
High Heritability

The selection efficiency for certain traits in crops can be broadened using estimates of genetic parameters, which are fundamental for plant breeding. Ten maize genotypes were evaluated in randomized complete block design (RCBD) with three replications at the field of Lamahi Municipality, Dang district of Nepal to assess the magnitude of genetic variability, heritability and genetic advance for growth, yield and yield contributing traits during summer season (June to August), 2018. Analysis of variance revealed significant differences for all traits. The phenotypic coefficient of variation (PCV) was higher than genotypic coefficient of variation (GCV) recorded for all traits. The grain yield showed the highest PCV (50.78%) and GCV (51.24%) whereas the lowest PCV (4.51%) and GCV (4.50%) were recorded for test weight; test weight showed high heritability (0.99) with low genetic advance as a percent of mean (9.26). Grain yield showed positive and significant phenotypic correlation with test weight (r=0.960), kernel per row (r=0.924), kernel rows per cob (r=0.900) and cob length (r=0.840), respectively. Traits namely grain yield, number of kernels per cob and kernel rows per cob showed high GCV, PCV. Therefore these traits can be used further in crop improvement program. Res. Agric., Livest. Fish.6(2): 163-169, August 2019

scholarly journals Genetic variability of Colocasia esculenta (L.) Schott.

2012 ◽  
Vol 40 (2) ◽  
pp. 185-188 ◽  
Author(s):  
KK Paul ◽  
MA Bari ◽  
SC Debnath
Keyword(s):  
Genetic Variability ◽  
Coefficient Of Variation ◽  
Colocasia Esculenta ◽  
Leaf Length ◽  
Genetic Advance ◽  
Petiole Length ◽  
Wide Range ◽  
Stolon Length ◽  
High Heritability ◽  
Edible Aroids

Studies on the nature and extent of variability of aqua edible aroids cultivars, Colocasia esculenta (L.) Schott. revealed significant differences and wide range of variations among the accessions and cultivars. Genotypic variances and coefficient of variation for most of the characters were remarkably higher than their corresponding variances due to environment which also indicate the existence of variation in genotypic origin. Plant height, petiole length, leaf length, each stolon weight, total stolon weight, stolon length and corm length expressed high heritability with moderate to high genetic advance signaled heritable in nature. Key words: Genetic variability; Heritability; Colocasia esculenta; Genetic advance DOI: http://dx.doi.org/10.3329/bjb.v40i2.9775   Bangladesh J. Bot. 40(2): 185-188, 2011 (December)

scholarly journals Assessment of genetic variability among different genotypes of Cape gooseberry (Physalis peruviana L.) in India

2017 ◽  
Vol 9 (3) ◽  
pp. 1735-1739
Author(s):  
Vikash Kumar ◽  
Sanjay Sahay ◽  
Vishal Nirgude ◽  
Amrita Kumari ◽  
Ravi S. Singh ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Coefficient Of Variation ◽  
Block Design ◽  
Crop Improvement ◽  
Fruit Weight ◽  
Branch Number ◽  
Gene Effects ◽  
Additive Gene ◽  
Cape Gooseberry ◽  
Fruit Diameter

The field experiment was carried out at the research farm of Horticulture Garden, Bihar Agricultural College, Sabour, Bhagalpur during 2014-15 for assessment of genetic variability among different genotypes of cape gooseberry in India. The experiment was laid out in Randomized Block Design with three replications having twelve genotypes. Analysis of variance revealed significant differences among genotypes for all the traits studies which suggesting sufficient variability for yield and quality parameters. The overall values of phenotypic coefficient of variation (PCV) were higher than those of genetic coefficient of variation (GCV). Higher magnitude of GCV and PCV were recorded for fruit per plant percent (33.30 and 36.61) followed by fruit diameter, fruit weight and flowers per branch. The maximum GCV (33.30) and PCV (36.61) were recorded in fruits/plant respectively. The high values of GCV are the indication of excess variability among the genotypes and thus the scope for crop improvement depends on the selection of superior parents for crossing to get better parents for hybridization. In present study, the magnitude of heritability ranged from 37% to 98% indicating that these traits are controlled by additive gene action which is very useful in selection. The traits like plant girth, plant height, inter nodal length, appearance of 50% of flowering, bud break to full bloom, number of flowers per branch, number of fruits set per branch, duration of fruit set to maturity, fruit weight, fruit diameter and number of fruits per plant with high GCV, PCV, heritability and genetic advance as percentage of mean, indicating that these characters are under additive gene effects and more reliable for effective selection.

scholarly journals Estimation of genetic parameters in some exotic genotypes of rice (Oryza sativa L.) in rabi season

2018 ◽  
Vol 8 (03) ◽  
Author(s):  
B. L. Thaware ◽  
S. S. Karande ◽  
B. D. Waghmode ◽  
J. S. Dhekale
Keyword(s):  
Coefficient Of Variation ◽  
Oryza Sativa L ◽  
Block Design ◽  
Research Station ◽  
Gene Effects ◽  
Randomized Block Design ◽  
Additive Gene ◽  
High Heritability ◽  
Genetic Coefficient Of Variation ◽  
Genetic Coefficient

Fifty three genotypes collected from IRRI, Philipines and one variety from research station were grown in randomized block design with three replications under three environments during rabi (dry) season 2013-14. Significant mean squares for genotypes indicated the presence of variability for all the characters under study. The phenotypic coefficient of variation (PCV) was higher than the genetic coefficient of variation (GCV) for all the characters studied. Small differences between GCV and PCV were recorded for most of the characters studied which indicated less influence of environment. The high heritability coupled with high genetic advance as percent of mean was observed for the characters viz., grains per panicle, straw yield per plant, grain yield per plant and 1000 grain weight indicate that most likely the heritability is due to additive gene effects and selection may be effective.

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.

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