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.

scholarly journals Genetic variability and interrelationships of phenological, physicochemical and cooking quality traits in chickpea

2012 ◽  
Vol 10 (3) ◽  
pp. 194-201 ◽  
Author(s):  
Shailesh Tripathi ◽  
Vindla Sridhar ◽  
Aravind K. Jukanti ◽  
Kamatam Suresh ◽  
B. V. Rao ◽  
...  
Keyword(s):  
Seed Size ◽  
Seed Weight ◽  
Cooking Quality ◽  
Cooking Time ◽  
Quality Traits ◽  
Swelling Capacity ◽  
High Heritability ◽  
Positive Correlations ◽  
100 Seed Weight ◽  
Hydration Capacity

Eighty-six chickpea (Cicer arietinum L.) genotypes, including 44 Kabuli type and 42 Desi type, were evaluated for their phenological, physicochemical and cooking quality traits. There were significant differences among the genotypes for days to 50% flowering (34–81 d), days to maturity (85–122 d), number of pods per plant (13–66), number of seeds per plant (15–85), 100-seed weight (10.5–58.6 g), seed yield (561–1852 kg/ha), hydration capacity (0.11–0.68 g water/seed), hydration index (0.80–1.21), swelling capacity (0.11–0.7 ml/seed), seed volume (0.1–0.52 ml/seed) and cooking time (38–125 min). The Desi and Kabuli types of chickpea differed significantly from each other for all the traits except for hydration index, swelling index and cooking time. High heritability coupled with high genetic advance was recorded for 100-seed weight, hydration capacity, swelling capacity and seed volume in both Desi and Kabuli genotypes. Seed size (100-seed weight and seed volume) showed significant positive correlations with hydration capacity and swelling capacity. Cooking time did not show any significant positive or negative correlation with any of the traits studied, including seed size, indicating that other additional factors may be involved in controlling cooking time. The results of this study indicate that it is possible to develop cultivars with faster cooking time in both Kabuli and Desi types and in all seed size categories.

scholarly journals Estimation of Character Association among Yield Attributing Traits in Mungbean (Vigna radiata (L.) Wilczek)

2021 ◽  
Vol 10 (9) ◽  
pp. 183-192
Author(s):  
Gitesh Padol G. R. Lavanya ◽  
Rohini Kurandale
Keyword(s):  
Genetic Variability ◽  
Correlation Coefficient ◽  
Seed Weight ◽  
Path Coefficient ◽  
Genetic Advance ◽  
Number Of Clusters ◽  
Component Traits ◽  
Biological Yield ◽  
High Heritability ◽  
100 Seed Weight

Twenty one mungbean (Vigna radiate L.Wilczek) genotype were evaluated for the estimation of genetic variability, heritability, genetic advance, correlation coefficient, and path coefficient analysis for yield and its component traits. A considerable amount of genetic variability was observed among all the genotypes for all the character under study. GCV and PCV were highest for number of primary branches per plant, followed by 100 seed weight and number of clusters per plant. High genetic advance coupled with high heritability were observed 100 seed weight followed by number of clusters per plant, plant height and number of primary branches per plant. Combined results of correlation coefficient and path analysis revealed that number of primary branches per plant, 100 seed weight, biological yield and harvest index are major component traits for the improvement of grain yield.

scholarly journals Genetic Variability in Chickpea (Cicer arietinum L.) under Heat Stress Condition

2020 ◽  
pp. 1-10
Author(s):  
Sanjay Kumar ◽  
B. G. Suresh ◽  
Anand Kumar ◽  
G. R. Lavanya
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Plant Height ◽  
Coefficient Of Variation ◽  
Seed Weight ◽  
Canopy Temperature ◽  
Path Coefficient ◽  
Biological Yield ◽  
High Heritability ◽  
100 Seed Weight

The present experiment was carried out at field experimentation centre of the Genetics and Plant Breeding, Naini Agricultural Institute, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj (Uttar Pradesh) to study genetic variability, correlation and path analysis in fifty germplasm of chickpea during rabi, 2017-18. The maximum phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) were noticed for 100-seed weight, biological yield per plant, grain yield per plant and number of primary branches per plant. High heritability were recorded by 100 seed weight, biological yield per plant, primary branches per plant, grain yield per plant, effective pods per plant, total number of pods per plant, secondary branches per plant, plant height, days to 50% flowering and days to maturity. High heritability coupled with high genetic advance as percent of mean was observed for 100 seed weight, biological yield per plant, primary branches per plant, grain yield per plant, effective pods per plant, total number of pods per plant, secondary branches per plant and plant height which suggested that these characters can be considered as favorable attributes for the improvement through selection. Path coefficient analysis for grain yield per plant revealed that biological yield, harvest index, secondary branches, canopy temperature at vegetative stage, effective pods per plant had given the highest contribution on yield per plant. So the utmost importance should be given to these characters during the selection for yield improvement in late sown chickpea.

Groundnut under organic farming: Genetic variability and association studies for yield, quality and disease resistance in recombinant inbred lines

2015 ◽  
Vol 38 (5) ◽  
Author(s):  
D. Krishnamurthy ◽  
P. V. Kenchana Goudar ◽  
C. M. Keerthi ◽  
H. Prashanth Babu
Keyword(s):  
Disease Resistance ◽  
Genetic Variability ◽  
Protein Content ◽  
Seed Weight ◽  
Oil Content ◽  
Association Studies ◽  
Quality Traits ◽  
Positive Correlation ◽  
Pod Yield ◽  
100 Seed Weight

A population consisting of 147 RILs derived from the cross TG 49 x GPBD 4 and their reverse cross consisting 20 RILs respectively (F<sub>7</sub> generation) were utilized for the study. Both the populations were subjected to phenotyping for quality traits (oil content and protein content), disease resistance (rust and LLS both at 70 and 80 days after sowing) and three productivity traits (pod yield/plant, 100-seed weight and shelling %) for <italic>kharif</italic> 2009. In both the segregating populations, the analysis of variance indicated significant variation for all the yield traits and diseases, but the variation was found to be less for quality traits. High genotypic and phenotypic variation was observed for pod yield (kg/plant), shelling per cent, rust and LLS at stage I it indicates the presence of considerable amount of genetic variability for these traits whereas in oil content and protein content there is low GCV and PCV. There was a highly significant and positive correlation between the protein and oil content in GPBD 4 x TG 49 population but negative relation in the TG 49 x GPBD 4 population. Highly significant positive correlation was observed in 100-seed weight and pod yield per plant in both the population indicating that breeding for high yield can be achieved without comprising the large seed size, which is a preferred trait for confectionery groundnut. Several RILs superior to best parent were identified for different traits which could be utilized in future breeding programmes.

Estimation of genetic parameters and character associations for yield and quality traits in chickpea

2016 ◽  
Author(s):  
Tejbir Singh
Keyword(s):  
Seed Yield ◽  
Block Design ◽  
Content Volume ◽  
Positive Association ◽  
Cooking Time ◽  
Quality Traits ◽  
Randomized Block Design ◽  
Swelling Capacity ◽  
High Heritability ◽  
Hydration Capacity

Twenty genetically diverse chickpea genotypes were grown in a randomized block design experiment with three replications during two years 2010-11 and 2011-12. Data on individual plants were recorded on days to 50% flowering, seed yield, protein content (%), volume of seed (ml), density of seed, hydration capacity, swelling capacity, cooking time (min) and swelling index (%).The analysis of variance (ANOVA) showed significant differences among the genotypes for all the characters showing enough variability among the genotypes. Further, the estimates of heritability were high for all the traits except days to 50% flowering in both the years. Swelling index, volume of seed, cooking time and seed yield had high heritability coupled with high genetic advance indicated that these characters are under additive genetic control and simple selection will be effective for their improvement. None of the quality traits showed any association with seed yield, however, quality traits showed certain positive/negative associations among selves e.g. volume of seed showed significant and positive association with hydration capacity and swelling capacity; swelling capacity with hydration capacity in both the years. Further, density of seed showed significant and negative association with volume of seed and hydration capacity during both the years.

scholarly journals Studies on genetic variability for some metric traits in slender grain rice genotypes

2018 ◽  
Vol 10 (1) ◽  
pp. 375-378
Author(s):  
Biswaranjan Behera ◽  
Simanchal Sahu ◽  
Rajesh Kumar Kar ◽  
Ritu Kumari Pandey
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Leaf Area ◽  
Coefficient Of Variation ◽  
Seed Weight ◽  
Flag Leaf ◽  
Additive Gene ◽  
High Heritability ◽  
Rice Genotypes ◽  
100 Seed Weight

An experiment was conducted to study genetic variability in forty-nine elite slender grain rice genotypes for thirteen component characters including grain yield.The experimental materials possessed a considerable amount of variability for all the traits. Majority of the traits showed the smaller difference between phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV). Both PCV and GCV were high for grain yield (gm) (PCV:27.14%, GCV:26.27%), and fertile grains per panicles(PCV:20.61%, GCV:20.52%), indicating less effect of environment on these characters. PCV and GCV were moderate for characters like harvest index (PCV:16.99%, GCV: 14.18%), 100 seed weight (gm) (PCV:14.57%, GCV:13.82%), fertility percentage (PCV:15.72%, GCV:15.05%), flag leaf area (cm2 ) (PCV:17.83%, GCV: 17.74%) and days to 50 % flowering (PCV:11.20%, GCV:11.17%) indicating that there is considerable amount of environmental effect on such characters. Moderate to a high degree of heritability estimates were observed for the majority of the traits under study except for a number of effective tillers/plant indicating the low or negligible influence of environment in the expression of these traits and may respond to selection for their improvement. High heritability (H2 )estimates were associated with moderate to high genetic gain over mean (GAM) for days to 50% flowering (H2 : 99.35%,GAM: 19.52%), plant height (H2 :93.89%,GAM:14.01%), panicle length (H2 :94.06%,GAM:14.04%), flag leaf area(H2 : 98.93%,GAM: 31.05%), fertile grains/panicle (H2 :99.20%,GAM: 35.98%), fertility percentage (H2 :91.57%,GAM:25.34%),100 seed weight (H2 :89.90%,GAM:23.06%)and grain yield per plant (H2 :93.71%,GAM:44.76%) indicating the presence of additive gene effect and hence selection based on phenotypic performance for these traits would be effective.

scholarly journals Genetic variability, evaluation and characterization of sunflower (Helianthus annuus L.) germplasm

2019 ◽  
Vol 48 (2) ◽  
pp. 253-263
Author(s):  
Vivek K Singh ◽  
RK Sheoran ◽  
Subhash Chander ◽  
Bunty Sharma
Keyword(s):  
Genetic Variability ◽  
Seed Yield ◽  
Seed Weight ◽  
Oil Content ◽  
Coefficients Of Variation ◽  
Genotype Identification ◽  
High Heritability ◽  
Improvement Programme ◽  
100 Seed Weight

Fifty accessions of sunflower germplasm were characterized and evaluated for seed yield and its components traits to study the variability present among different germplasm lines. Significant amount of genetic variability was observed for all the characters under study. Seed yield and hull content were identified for highest genotypic (27.08 and 20.14%, respectively) and phenotypic coefficients of variation (27.89 and 20.64%, respectively) and also for high heritability (97.46 and 97.28%, respectively) coupled with high genetic advance (52.19 and 40.49%, respectively) over mean followed by duration of reproductive phase, oil content, 100-seed weight and plant height. Qualitative traits also showed wide variation among the accessions. Majority of the accessions were early in flowering, medium in maturity and medium in head diameter. Among all the accessions, ten lines were observed with short height and ten lines showed high oil content (> 40%). Maximum genetic distance was observed between the accessions EC-601800 and EC- 512687 and utilization of these accessions has been advocated in breeding programme. The results of the present study can be useful for the formation of data base and reference lines, genotype identification and will also be helpful in amplification of future sunflower improvement programme.

scholarly journals Genetic Variability, Heritability, and Genotypic Correlation of Soybean Agronomic Characters

2021 ◽  
Vol 19 (2) ◽  
pp. 117
Author(s):  
Heru Kuswantoro ◽  
Moch Muchlish Adie ◽  
Pratanti Haksiwi Putri
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Seed Yield ◽  
Seed Weight ◽  
Genetic Parameters ◽  
Genotypic Correlation ◽  
Agronomic Characters ◽  
Days To Maturity ◽  
100 Seed Weight ◽  
Number Of Branches

<p>Genetic parameters are important in genetic improvement and variety development. This study aimed to determine the effective characters that can be applied as selection criterion in soybean breeding using genetic parameters. About 100 soybean genotypes were grown in the Muneng Agricultural Technology Research and Assessment Installation from April to July 2020. The trial was conducted using a randomized complete block design. The results showed that high genetic variability was found on days to maturity, number of branches per plant, number of productive nodes per plant, 100-seed weight, and seed yield. The high heritability was shown by days to maturity, plant height, number of branches per plant, and 100-seed weight. All phenotypic correlations were significant, except for the correlation between seed yield and days to maturity, plant height, number of branches, and number of productive nodes. The seed yield had no genotypic correlation with all agronomic characters observed. The genotypic correlation was only significant for plant height and number of productive nodes, number of branches and number of filled pods, as well as number of productive nodes and 100-seed weight. Therefore, the improvement of seed yield can be conducted through direct selection using the seed yield parameter or indirectly using the 100-seed weight.<br /><br /></p>

Assessment of genetic variability and inter-character association in the germplasm of cowpea (Vigna Unguiculata L. Walp) in hot arid climate

2018 ◽  
Author(s):  
Om Vir Singh ◽  
Neelam Shekhawat ◽  
Kartar Singh ◽  
R. Gowthami
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Seed Yield ◽  
Vigna Unguiculata ◽  
Seed Weight ◽  
Number Of Clusters ◽  
Positive Direct ◽  
Pod Length ◽  
100 Seed Weight ◽  
Number Of Branches

Studies on genetic variability, correlation and path coefficient analysis were carried out with 38 accessions of cowpea (Vigna unguiculata L. Walp.) evaluated in two environments i. e. kharif 2013 (E1) and kharif 2014 (E2) at Research field of NBPGR, Regional Station Jodhpur, India. Analysis of variance revealed significant differences among the genotypes for all the traits. Genotypic coefficient of variation was highest for number of clusters per plant followed by number of pods per plant in both the environments. High broad sense heritability along with high genetic advance for seed yield per plant, 100 seed weight, pod length, number of pods per plant, peduncle length, number of clusters per plant, number of branches per plant and plant height indicated the presence of additive gene effects for these traits in cowpea. In both the environments seed yield per plant was positively correlated with 100 seed weight, pod length, number of pods per plant, number of clusters per plant, number of branches per plant and plant height. The highest positive direct effect registered by number of branches per plant followed by number of clusters per plant in E1 environment and by number of branches per plant followed by plant height in E2 environment. The traits like 100 seed weight, plant height, number of pods per plant number of clusters per plant and number of branches per plant were identified as selection criteria for obtaining good parental lines in cowpea breeding programmes.

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

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