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.

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 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 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

scholarly journals Quantitative Trait Loci Associated with Foliar Trigonelline Accumulation inGlycine MaxL

2002 ◽  
Vol 2 (3) ◽  
pp. 151-157 ◽  
Author(s):  
Youngkoo Cho ◽  
Victor N. Njiti ◽  
Xinbo Chen ◽  
Kanokporn Triwatayakorn ◽  
My Abdelmajid Kassem ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Recombinant Inbred Lines ◽  
Development Stage ◽  
Linkage Groups ◽  
Frequency Distributions ◽  
Trait Loci ◽  
Pod Development ◽  
Pod Development Stage ◽  
Departure From Normality

The objective of this study was to utilize aGlycine maxRIL population to (1) evaluate foliar trigonelline (TRG) content in field-grown soybean, (2) determine the heritability of TRG accumulation, and (3) identify DNA markers linked to quantitative trait loci (QTLs) conditioning variation in TRG accumulation. Frequency distributions of 70 recombinant inbred lines showed statistically no significant departure from normality(P>.05)for TRG accumulation measured at pod development stage (R4). Six different molecular linkage groups (LGs) (B2, C2, D2, G, J, and K) were identified to be linked to QTLs for foliar TRG accumulation. Two unique microsatellite markers (SSR) on two different linkage groups identified QTL significantly associated with foliar TRG accumulation: a region on LG J (Satt285)(P=.0019, R2=15.9%)and a second region on LG C2 (Satt079)(P=.0029, R2=13.4%).

Genetic Variability and Inter-relationships Among Grain Physical and Hydration Traits in Chickpea

2020 ◽  
Author(s):  
A.K. Srivastava ◽  
G.P. Dixit ◽  
Mohammad Nisar ◽  
N.P. Singh
Keyword(s):  
Genetic Variability ◽  
Negative Correlation ◽  
Seed Weight ◽  
Direct Selection ◽  
Seed Density ◽  
Quality Traits ◽  
Swelling Capacity ◽  
High Heritability ◽  
100 Seed Weight ◽  
Hydration Capacity

Background: Chickpea is the major pulse crop in India accounting for nearly 43% (10.13 MT) of the total pulse production and 80% of total pulse export during 2018-19. It is a good source of carbohydrates and protein and constitutes an important component of diet of largely vegetarian Indian masses. Hydration capacity and volume expansion (after soaking in water) are important cooking quality traits in chickpea, particularly in kabuli type which are mostly cooked as ‘whole grain’ without decortication. Limited information is available on these properties of chickpea. The current study is aimed at assessing the genetic variability and inter-relationships among grain physical and hydration traits in chickpea varieties.Methods: During the period 2017-2018, a total of fifty-nine chickpea (Cicer arietinum L.) varieties including 46 desi type and 13 kabuli type varieties were evaluated for their grain physical and hydration traits viz., 100-seed weight, seed density, hydration capacity, hydration index, swelling capacity and swelling index. Result: Significant differences were observed for 100 seed weight (Range: 11.00 to 51.50 g/100 seeds; Mean: 21.8 g/100 seeds), seed density (Range: 1.19 to 1.88; Mean: 1.37), hydration capacity (Range: 0.05 to 0.62; Mean: 0.24), hydration index (Range: 0.33 to 1.51; Mean: 1.10), swelling capacity (Range: 0.08 to 0.60; Mean: 0.25) and swelling index (Range: 0.62 to 2.33; Mean: 1.59). The magnitude of PCV was moderately higher than the corresponding GCV values for most of the traits indicating that the influence of the environment on the expression of these traits was not high. High heritability coupled with high genetic advance was recorded for 100-seed weight, hydration capacity and swelling capacity in both desi and kabuli varieties. These results indicate that high heritability of these traits is predominantly due to additive gene action and hence direct selection for these traits is expected to be effective. 100-seed weight showed significant positive correlations with hydration capacity and swelling capacity and negative correlation with seed density. Seed density showed negative correlation with hydration capacity, hydration index and swelling capacity. Hydration capacity was positively correlated with hydration index, swelling capacity and swelling index. These traits are important for consumers where whole grains are consumed after soaking and cooking. Existence of sufficient variability for these quality traits suggest the scope for breeding chickpea towards improved consumer preferred quality traits.

Genetic variability and character association studies for seed yield and component characters in soybean [Glycine max (L.) Merrill] under North-western Himalayas

2018 ◽  
Author(s):  
Santosh Kumar ◽  
Vedna Kumari ◽  
Vinod Kumar
Keyword(s):  
Genetic Variability ◽  
Seed Yield ◽  
Harvest Index ◽  
Association Studies ◽  
Block Design ◽  
Direct Selection ◽  
Western Himalayas ◽  
Plant Seed ◽  
Biological Yield ◽  
Four Blocks

The present investigation was undertaken to assess the genetic variability and character associations for seed yield and component characters in 307 soybean germplasm lines. The lines were raised in augmented block design in four blocks during kharif 2014. Out of these, twenty seven promising genotypes were selected and forwarded for evaluation along with four checks in randomized block design with three replications at CSKHPKV, Palampur (H.P) during kharif 2015. The analysis of variance revealed the presence of sufficient genetic variability in the breeding material. High PCV and moderate GCV were recorded for harvest index and biological yield/plant. High heritability coupled with high genetic advance were observed for harvest index followed by biological yield /plant, seed yield /plant, number of pods/plant and 100-seed weight indicating the predominance of additive gene action in controlling the trait. Number of branches /plant, number of seeds /pod, biological yield/plant and harvest index exhibited significantly positive correlation with seed yield /plant both at phenotypic and genotypic levels. Two traits viz., harvest index and biological yield /plant could be considered as direct selection indices for yield improvement in soybean.

scholarly journals Genetic variability, heritability and genetic advance for growth, yield and yield related traits in maize genotypes

2021 ◽  
Vol 2 (2) ◽  
pp. 96-104
Author(s):  
Roshesh Rai ◽  
Prakash Khanal ◽  
Prabin Chaudhary ◽  
Rabin Dhital
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Agronomic Traits ◽  
Block Design ◽  
Genetic Advance ◽  
Improvement Program ◽  
Positive Correlation ◽  
Maize Genotypes ◽  
High Heritability ◽  
Ear Height

Evaluation of the genetic variability, heritability and genetic advance of traits is an essential task in any plant improvement program. Twenty maize genotypes were replicated twice in a randomized complete block design on a research plot of Prithu Technical College, Deukhuri Dang of Nepal from June 2017 to September 2017 to determine genetic variability, heritability, and genetic advance for different agronomic traits. Analysis of variance showed significant differences in the traits tassel length, ear height, days to fifty percent tasseling, days to fifty percent silking, kernels’ rows ear-1, kernels row-1 and grain yield. The highest GCV (31.53%) and PCV (39.20%) were recorded on grain yield. Grain yield and ear height recorded high heritability along with high genetic advance as a percent of mean (GAM). Tassel length and kernels row-1 showed high heritability integrated with moderate GAM and moderate heritability integrated with moderate GAM respectively. Further, grain yield showed a significant and positive correlation with plant height, tassel length, ear height, cob length, cob diameter, kernels’ rows ear-1, and kernels row-1. Thus the selection of ear height, tassel length and kernels row-1 is suggested as they performed better in terms of both heritability and GAM than other traits and they also recorded a significant and positive correlation with yield.

scholarly journals IDENTIFICATION OF Ricinus communis HYBRIDS FOR LOW PLANT HEIGHT1

2021 ◽  
Vol 34 (4) ◽  
pp. 837-845
Author(s):  
FREDSON DOS SANTOS MENEZES ◽  
SIMONE ALVES SILVA ◽  
GEAN CARLO SOARES CAPINAN ◽  
HELISON SANTOS BRASILEIRO ◽  
LAURENICE ARAÚJO DOS SANTOS
Keyword(s):  
Plant Height ◽  
Castor Bean ◽  
Ricinus Communis ◽  
Block Design ◽  
Direct Selection ◽  
Randomized Block Design ◽  
Ricinus Communis L ◽  
Bean Plants ◽  
Stem Internode ◽  
High Heritability

ABSTRACT Castor bean (Ricinus communis L.) is a plant native to Africa that presents important socioeconomic value for many countries, and has been the subject of breeding programs. In this context, the objective of this work was to identify genotypes with potential for improvement, focused on lowering plant height, using 19 hybrids and eight parents of R. communis. The study was developed at the experimental area of the Federal University of Recôncavo da Bahia in Cruz das Almas, BA, Brazil. The experiment was conducted in 2017 using a randomized block design with three replications, consisting of eight parents and 19 hybrids resulting from hybridization of these parents, grown with spacing of 3 meters between rows and 1 meter between plants. The characters stem diameter (SD), primary raceme insertion height (PRI), number of stem internodes (NSI), mean stem internode length (SIL), plant height (PH), number of harvested racemes (NHR), primary raceme length (PRL), and effective raceme length (ERL) were evaluated by analyzing the genetic parameters of variances and correlation between them. Five (H17, H2, H11, H13, and H6) of the 19 hybrids evaluated have potential to decrease PH of castor bean plants, presenting heights below 1.07 m. Direct selection for plant height is the most indicated for this purpose due to the high heritability of the character. However, the characters SD, PRI, and SIL stood out by assisting in indirect selection to decrease plant height because they can be early measured and present high heritability and strong correlation with PH.

scholarly journals Genetic variability and yield components of yard long bean (Vigna unguiculata var. sesquipedalis L.)

2021 ◽  
Vol 82 (3) ◽  
pp. 107-122
Author(s):  
Zakia Sultana ◽  
Nahid Ahmed ◽  
Mohammad Saiful Islam ◽  
Abdur Rahim
Keyword(s):  
Genetic Variability ◽  
Vigna Unguiculata ◽  
Block Design ◽  
Pod Yield ◽  
Randomized Complete Block Design ◽  
Days To Maturity ◽  
Cluster Distance ◽  
High Heritability ◽  
Positive Effect ◽  
Pod Number

Yard long bean (Vigna unguiculata var. sesquipedalis L.) is one of the important leguminous vegetables in Bangladesh. However, yield of this vegetable is much lower in Bangladesh compared to other yard long beangrowing countries. Therefore, it is crucial to improve the yield of this vegetable. In the present study, genetic variability, heritability, character association and genetic diversity were evaluated on randomized complete block design with three replications among seven-yard-long bean genotypes. The genotypes were significantly variable for the studied characters. High genotypic and phenotypic coefficient of variation was observed in number of pods per plant and pod yield per plant. Accordingly, high heritability together with high genetic advance in percent of mean was observed in number of pod per plant, pod diameter and hundred seed weight. The correlation studies revealed that pod yield per plant showed significant positive correlation with number of seed per pod, number of pods per plant while significantly negative correlation with days to marketable harvest at both genotypic and phenotypic level. Path analysis revealed days to first flowering, days to maturity, number of pods per plant, pod weight and number of seeds per pod had direct positive effect on pod yield per plant. The studied genotypes were clustered into 3 groups with highest of inter-cluster distance between cluster I and III while lowest between cluster II and III. The genotypes of cluster I exhibited higher mean performance while lower in cluster III for important traits including pod yield per plant.

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