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.

Assessment of Genetic Variability and Relationship between Different Quantitative Traits in Field Pea (Pisum sativum var. arvense) Germplasm

2021 ◽  
Author(s):  
Vijay Pratap ◽  
Vijay Sharma ◽  
Kamaluddin . ◽  
Gaurav Shukla
Keyword(s):  
Genetic Variability ◽  
Correlation Coefficient ◽  
Seed Yield ◽  
Harvest Index ◽  
Quantitative Traits ◽  
Field Pea ◽  
Path Coefficient ◽  
Genetic Advance ◽  
Path Coefficient Analysis ◽  
Biological Yield

Background: Assessment of genetic variability and inter-relationship between the characters can be used in the breeding programme to evolve new varieties with wide genetic diversity to maximize the yield potential in crop improvement programmes. Eighty-four field pea genotypes were evaluated in an augmented block design for thirteen quantitative traits to study variance components, heritability, genetic advance and inter-relationship between the yield and yield contributing traits. Methods: The extent of phenotypic and genotypic variation that exist in a character was calculated by the formula suggested by Burton and de Vane (1953). Heritability in broad sense and genetic advance as per cent of mean for each character was computed using the formula suggested by Hanson et al. (1956) and Johnson et al. (1955), respectively. Correlation coefficient was calculated by method suggested by Searle (1961) and path coefficient analysis done as per method of Wright (1921) and elaborated by Dewey and Lu (1959).Result: Significant differences observed among the genotypes tested for the yield characters indicated the presence of variability. High heritability coupled with high genetic advance as percent of mean was observed for the traits viz., plant height, effective pods plant-1, harvest index and seed yield plant-1 were governed by additive gene effects which will aid in effective selection. Correlation coefficient analysis revealed that seed yield plant-1 had highly significant and positive correlation with biological yield plant-1, effective pods plant-1, harvest index, seeds pods-1 and effective nodes plant-1, indicating that these traits are strongly associated with seed yield in field pea. Path coefficient analysis identified biological yield plant-1 followed by harvest index, seed pod-1, effective nodes plant-1, 100-seed weight and day to 50% flowering as highly desirable components with great direct effects on seed yield. 

scholarly journals Variability for agromorphological traits, genetic parameters, correlation and path coefficient analyses in Lentil (Lens culinaris Medik.)

2020 ◽  
pp. 1-7
Author(s):  
Shahida Akter ◽  
Israt Jahan ◽  
Md. Amir Hossain ◽  
Mohammad Anwar Hossain
Keyword(s):  
Seed Yield ◽  
Seed Weight ◽  
Lens Culinaris ◽  
Significant Negative Correlation ◽  
Path Coefficient ◽  
Genetic Advance ◽  
High Heritability ◽  
Positive Direct ◽  
100 Seed Weight ◽  
Number Of Seeds

Understanding phenotypic and genotypic variability of Bangladeshi lentil (Lens culinaris Medik.) in relation to exotic lentil is important in attempting to widen the genetic base of the germplasm in the country. An experiment was conducted using 30 diverse lentil genotypes to study the agromorphological and genetic variability, heritability, expected genetic advance and inter-relationship of ten yield attributing traits. The genotypes showed highly significant (p<0.01) variations for all of the studied traits. These characters also had higher phenotypic co-efficient of variation (PCV) than those of the corresponding genotypic co-efficient of variation (GCV). High heritability (ranged from 66-98%) was found among the traits. Seed yield plant-1 and number of seeds plant-1 showed high heritability accompanied with high genetic advance (as percent mean). Correlation coefficient studies revealed that number of pods plant-1, number of seeds plant-1 and 100-seed weight contributed to highly significant (p<0.01) positive correlation with seed yield plant-1. Days to 50% flowering and days to maturity were showed highly significant negative correlation with seed yield plant-1. Path analysis showed the highest positive direct effects of 100-seed weight followed by the number of secondary branches plant-1 and number of seeds plant-1 on seed yield plant-1. Days to 50% flowering via 100-seed weight contributed the highest negative indirect effect on seed yield plant-1. Maximum negative direct effect of plant height and days to 50% flowering was observed on seed yield plant-1. Results indicated that the exotic accessions could be effective for the improvement of the yield of lentil. 

scholarly journals Assessment of genetic diversity through morphological characterization in chickpea (Cicer arietinum L.)

2021 ◽  
Vol 16 (2) ◽  
pp. 109-117
Author(s):  
Kadiyala Naga Suresh ◽  
Gabriyal M. Lal
Keyword(s):  
Genetic Diversity ◽  
Seed Weight ◽  
Block Design ◽  
Morphological Characterization ◽  
Genetic Advance ◽  
Randomized Block Design ◽  
Biological Yield ◽  
High Heritability ◽  
Field Experimentation ◽  
100 Seed Weight

The experiment was conducted at Field Experimentation Centre, Department of Genetics and Plant Breeding, Sam Higginbottom University of Agriculture Technology and Sciences, Prayagraj during Rabi 2019-2020 in Randomized Block Design with three replications. The investigation was prevailed to examine the 40 genotypes along with one check (PUSA 362) to study the genetic variability, genetic advance, heritability and Genetic diversity. Analysis of variance exhibited significant differences among the genotypes for all the characters indicating presence of good amount of variability among the genotypes for all the characters used in study. high GCV and PCV were observed for biological yield (31.5 and 39.47). High heritability (>80%) was recorded for character Days to 50% flowering (89%) followed by days to maturity (87%), days to 50% flowering (86%), seed weight (82%). Higher genetic advance was observed for no. of seeds per plant (39.64) followed by no. of pods per plant (31.77), biological yield (21.07), days to 50% maturity (11.41) and plant height (11.03). D2 values showed adequate genetic diversity among the genotypes studied. On the basis of D2 values all the genotypes were grouped into five clusters with varying number of genotypes in the clusters. The maximum genetic distance (D) of 54.46 was found between the clusters IV and II. Greater the divergence between the 2 clusters, wider is that the genetic diversity within the genotypes. The cluster mean for days to 50 per cent flowering varied from 84.00(V) to 108 (III). The cluster mean for days to 50 per cent pod setting varied from 86.67 (IV) to 120.67 (II). The cluster mean for 100 seed weight was maximum in (cluster II) 24.33 and minimum in (cluster IV) 20. The cluster mean for harvest index was maximum in (cluster II) 56.71 and minimum in (cluster V) 38.56. The cluster mean for biological yield was maximum in (cluster III) 53.13 and minimum in (cluster II) 36.2. The cluster mean for seed yield was maximum in (cluster III) 20.93 and minimum in (cluster V) 13.2. Therefore, the genotypes present in these clusters can be used for future hybridization.

scholarly journals Determination of Genetic Association of Yield and Quality Traits in Cicer arietinum L. (chickpea)

2021 ◽  
pp. 75-83
Author(s):  
Binita Xalxo ◽  
Gabrial M. Lal ◽  
Sneha Debnath ◽  
Avneesh M. Tripathi
Keyword(s):  
Seed Yield ◽  
Seed Weight ◽  
Harvest Index ◽  
Block Design ◽  
Path Coefficient ◽  
Index Number ◽  
Genetic Advance ◽  
Biological Yield ◽  
100 Seed Weight ◽  
Number Of Seeds

The present investigation was carried out at the field Experimentation Centre, Department of genetics and Plant Breeding, Naini Agricultural Institute, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, U.P. The experiment on 22 genotypes was laid out in Randomised Block Design with three replications. Observations were recorded on five randomly selected plants to each treatment and replication for 13 quantitative characters viz., days to 50 per cent flowering, days to 50 per cent pod setting, days to maturity, plant height, number of primary branches per plant, number of secondary branches per plant, number of pods per plant, number of seeds per pod, number of seeds per plant, 100-seed weight, harvest index, biological yield, seed yield per plant and one qualitative character protein content to estimate the variability, heritability. genetic advance, correlation and path coefficient analysis among yield. Maximum GCV and PCV were recorded for number of pods per plant and 100-seed weight. High genetic advance as percentage of mean recorded for number of pods per plant. High heritability was recorded for 100-seed weight. High genetic advance was recorded for 100-seed weight. Seed yield per plant had showed high positive significant correlation with biological yield per plant, harvest index, number of pods per plant and number of seeds per plant at phenotypic and genotypic levels.

Path Coefficient Analysis, Character Association and Variability Studies in Selected Maize (Zea mays L.) Genotypes Grown in Southern Nigeria

2019 ◽  
pp. 1-6
Author(s):  
Godwin Michael Ubi ◽  
Maria Bisong Onabe ◽  
Success Eni Kalu
Keyword(s):  
Grain Yield ◽  
Indirect Effects ◽  
Seed Weight ◽  
Block Design ◽  
Selection Index ◽  
Path Coefficient ◽  
Genotypic Correlation ◽  
Genetic Advance ◽  
Path Coefficient Analysis ◽  
100 Seed Weight

The success of any selection process is greatly enhanced by using appropriate selection indices. The knowledge of the relationship among various traits affecting grain yield is imperative to arrive at potentially effective selection index. The study was carried out to unveil the different attributes of genetic variability, the type of interrelationships among the various traits affecting yield. Fifteen local and improved maize inbred lines were crossed to three tester varieties to develop 45 test cross progenies. The parents and crosses (63 entries in all) were evaluated in two different locations with three replications at each location using the Randomized complete block design (RCBD). Data generated was recorded for the quantitative traits evaluated and subjected to statistical analysis for estimation of various variability parameters namely GCV, PCV, heritability and genetic advance alongside computing genotypic correlation coefficients and path coefficient analysis to unveil the direct and indirect effects of the various traits studied. The analysis of variability parameters evaluated revealed the presence of significant variability for all the traits studied. Grain yield, ear length, ear height, 100-seed weight and ear diameter showed high GCV estimates, with high heritability. The genetic advance was higher for plant height, ear length, grain/row and grain yield. The genotypic correlation coefficient revealed that ear diameter, 100 seed weight, ear length, kernel rows/ear and grains/row had highest significant correlation with grain yield. The path coefficient analysis revealed that highest direct effect on grain yield was exhibited by 100 seed weight followed by grains/row, kernel rows/ear, ear length and ear diameter. Most of the traits exerted their positive indirect effects through 100 – seed weight, kernel rows/ear and grains/row. The inferences of the results of the present study and their possible implications in maize breeding have been revealed.

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 Assessment of genetic variability and character association for grain yield and its component traits in bread wheat (Triticum aestivum L.)

2018 ◽  
Vol 10 (2) ◽  
pp. 797-804
Author(s):  
Satnam Singh Nagar ◽  
Pradeep Kumar ◽  
S.R. Vishwakarma ◽  
Gyanendra Singh ◽  
B. S. Tyagi
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Plant Height ◽  
Coefficient Of Variation ◽  
Harvest Index ◽  
Spike Length ◽  
Genetic Advance ◽  
Component Traits ◽  
Biological Yield ◽  
1000 Grain Weight

A study was conducted for estimating genetic variability and characters association for eleven yield components using 169 genotypes (13 parents, 78 F1 and 78 F2) of bread wheat through half-diallel mating design during rabi season 2012-13 and 2013-14. The genetic variability, heritability in broad sense, genetic advance, correlation coefficients and path analysis were carried out for the assessment of genotypes through eleven yield component traits namely; days to 50% flowering, days to maturity, plant height, spike length, number of effective tillers per plant, number of grains per spikelet, number of grains per spike, 1000-grain weight, biological yield per plant, harvest index and grain yield per plant. Analysis of variance showed significant differences (at1% level of significance) for all the traits under study in both the generations (F1 and F2). The phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) were high for plant height followed by number of effective tillers per plant, biological yield per plant, grain yield per plant, while high heritability coupled with high genetic advance were recorded for plant height and spike length in both F1 and F2 generations, respectively. Grain yield per plant was positively and significantly associated with a number of effective tillers per plant, spike length, number of grains per spike, 1000-grain weight, biological yield per plant and harvest index while significantly but negatively associated with plant height. Path analysis revealed that the traits namely biological yield per plant, number of effective tillers per plant, number of grains per spike, plant height and harvest index exhibited positive direct effects on grain yield at both phenotypic and genotypic level in both generation (F1 and F2). These results, thereby suggests that yield improvement in breads wheats could be possible by emphasizing these traits while making selections in early generations.

scholarly journals Genetic Variability Studies for Yield and Yield Related Attributes in Rice (Oryza sativa L.) Genotypes

2021 ◽  
pp. 113-123
Author(s):  
Babburi Dinesh ◽  
Gaibriyal M. Lal ◽  
L. Bhanuprasad
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Plant Height ◽  
Correlation Coefficient ◽  
Harvest Index ◽  
Flag Leaf ◽  
Leaf Width ◽  
Path Coefficient ◽  
Flag Leaf Width ◽  
Biological Yield

A set of twenty four rice genotypes including one check variety were grown to estimate study genetic variability, heritability, genetic advance, correlation and path coefficient for 13 quantitative characters, observation recorded to study the genetic variability parameters, correlation coefficient and path coefficient for yield and its attributing traits. High to moderate estimates of GCV and PCV were recorded for test weight followed by spikelets per panicle, grain yield per plant, flag leaf width, flag leaf length, tillers per hill, biological yield and panicles per hill. Grain yield indicated significant positive correlation with plant height followed by tillers per hill, panicles per hill, biological yield and harvest index in terms of phenotypic correlation coefficient whereas in terms of genotypic coefficient it showed positive and significant correlation with plant height, tillers per hill, panicles per hill, biological yield and harvest index. Path coefficient analysis showed positive significant direct effects on grain yield per hill were exhibited by plant height, tillers per hill and harvest index at genotypic level whereas it showed positive and significant direct effect for tillers per hill, flag leaf width, biological yield and harvest index at phenotypic level. Thus, these traits are identified as the efficient and potential for indirect selection for the improvement of rice productivity in the present experimental materials.

Devising selection criteria based on variability and association studies in segregating populations derived from an interspecific cross between Cajanus scarabaeoides × C. cajan

2019 ◽  
Author(s):  
Gurjeet Singh ◽  
Inderjit Singh ◽  
Pankaj Sharma ◽  
Mamta Gupta ◽  
Sarvjeet Singh
Keyword(s):  
Seed Yield ◽  
Seed Weight ◽  
Selection Criteria ◽  
Environmental Influence ◽  
Association Studies ◽  
Interspecific Cross ◽  
Path Coefficient ◽  
Genetic Advance ◽  
Plant Seed ◽  
100 Seed Weight

Segregating populations (BC1F3 and F3:4) from an interspecific cross (C. scarabaeoides × C. cajan) were evaluated for variability and association studies for yield and its component traits. In both the generations, high values of PCV and GCV were obtained for pods per plant, seed yield per plant and fruiting branches per plant. High estimates of heritability as well as genetic advance were observed for fruiting branches per plant followed by pods per plant and seed yield per plant. High heritability coupled with high genetic advance revealed the presence of less environmental influence and prevalence of additive gene action. Seed yield per plant had highly significant and positive association with pods per plant, fruiting branches and 100-seed weight. Path coefficient analysis revealed that pods per plant, fruiting branches and 100-seed weight contributing maximum towards seed yield per plant. The study revealed that fruiting branches and pods per plant could be used as selection criteria for improving yield.

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