Analysis of Genetic Variability parameters for Seed Yield and its attributing Traits of desi Chickpea (Cicer arietinum L.) under different Environments in West Bengal

2018 ◽  
Vol 5 (02) ◽  
Author(s):  
AVINALAPPA HOTTI ◽  
RAGHUNATH SADHUKHAN
Keyword(s):  
Genetic Variability ◽  
Seed Yield ◽  
Seed Weight ◽  
Harvest Index ◽  
Crop Improvement ◽  
Economic Traits ◽  
Gene Effects ◽  
Late Planting ◽  
Additive Gene ◽  
100 Seed Weight

Twenty two promising Desi chickpea genotypes were grown in RBD with two replications under normal and late sown high temperature conditions with objective to estimate genetic variability for seed yield and its attributing traits to identify potential genotypes for heat tolerance. The maximum genotypic and phenotypic coefficients of variability (GCV and PCV) were observed for number of seeds per pod, 100-seed weight and seed yield per plant under both environments, whereas number of primary branches per plant recorded minimum in late planting conditions. The high heritability coupled with high genetic advance as per cent of mean (GAM) was observed for all traits except days to maturity, plant height and number of pods per plant under both environments but the harvest index recorded moderate heritability coupled with low GAM in late planting conditions. This implies the presence of more additive gene effects for potential crop improvement. On the basis of mean performance for important economic traits under both environments, the genotypes ICCV 92944, Annigeri-1, JG-6, RSG-888, RSG-945 and ICCV-10 were identified as best performer for the number of pods per plant, 100-seed weight, seed yield per plant and harvest index, as well as these genotypes were identified as heat tolerant for the respective traits. The genotype ICCV 10 had stable for yield and yield related traits over both environments, therefore it could be tested over locations for stability verification and for further use in breeding program.

Studies on Variability Parameter and Character Association of Lentil Germplasms in West Bengal Condition

2020 ◽  
Author(s):  
P. Bhattacharjee ◽  
S. Kundagrami ◽  
A. Bhattacharjee
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Seed Weight ◽  
Harvest Index ◽  
West Bengal ◽  
Block Design ◽  
Crop Improvement ◽  
Flowering Plant ◽  
Positive Direct ◽  
100 Seed Weight

Background: Lentil is the major cultivated pulse crop in the state of West Bengal in terms of total area coverage under cultivation. Selection of high yielding and better quality genotype is the prime vital matter to increase productivity. Investigation and a better understanding of the variability existing in a population base of the crop are pivotal to crop improvement so that the plant breeders can exploit it. Methods: The current study has been carried out at the experimental farm of the University of Calcutta during 2016-2017 in a plot designed with the randomized block design. It was carried out to estimate the magnitude of genetic variability, heritability and genetic advance of fifty-four lentil germplasms. Result: Moderate to high heritability, GCV, PCV, GA and GA % of mean was obtained by days to1st flowering, days to 50% flowering, pods per plant and harvest index. The genotypic and phenotypic association of seed yield was significantly positive with traits like plant height, pods/plant, 100 seed weight and harvest index. Characters like days to 50% flowering, plant height, primary branches per plant, pods/plant, pod length, 100 seed weight and harvest index shows a positive direct effect on seed yield in path analysis suggesting select for such traits while exercising selection for seed yield per plant in lentil.

Association among genetic parameters in Indian mustard (Brassica juncea L. Czern and Coss.)

2018 ◽  
Vol 3 (01) ◽  
pp. 11-15
Author(s):  
Vipin Kumar Malik ◽  
Shiv Kumar Singh ◽  
Vijay Kumar ◽  
Norang Pal Singh ◽  
Ankit Malik ◽  
...  
Keyword(s):  
Brassica Juncea ◽  
Seed Yield ◽  
Seed Weight ◽  
Harvest Index ◽  
Indian Mustard ◽  
Flowering Plant ◽  
Genetic Advance ◽  
Gene Effects ◽  
Plant Seed ◽  
Biological Yield

The considerable amount of genetic variability on the basis of GCV and PCV estimates for the traits; days to 50% flowering, numbers of primary and secondary branches per plant, length of siliqua, 1000-seed weight, seed yield per plant, biological yield per plant and harvest index were found in thirty five genotypes of Indian mustard (Brassica juncea L. Czern and Coss). Heritability and genetic advance were higher for days to 50% flowering, plant height and biological yield per plant. Although, number of secondary branches per plant, seed yield per plant and harvest index had moderately high heritability with moderate genetic advance indicating additive gene effects and selection pressure could be applied on them for yield improvement leads to fast genetic improvement of the materials. Days to 75% maturity, length of siliqua, 1000-seed weight and oil content had low heritability indicating that these traits were under the influence of environmental factors and selection on the basis of these traits could not be effective.

scholarly journals GENE ACTION AND COMBINING ABILITY STUDY IN SESAME

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mandakini Kabi ◽  
Bhabendra Baisakh ◽  
Manasi Dash ◽  
Swapan K Tripathy ◽  
S. Sahu ◽  
...  
Keyword(s):  
Seed Yield ◽  
Combining Ability ◽  
Seed Weight ◽  
Recurrent Selection ◽  
Gene Action ◽  
Reciprocal Recurrent Selection ◽  
Additive Variance ◽  
Plant Seeds ◽  
Additive Gene ◽  
100 Seed Weight

The study of gene action and combining ability have been conducted in 28 F1 cross combinations along with eight parents in 8x8 half-diallel scheme following Griffing’s Approach for 14 morphoeconomic traits including seed yield and oil content in sesame. The general combining ability (GCA) and specific combining ability (SCA) component of variation were significant for parents and crosses respectively for all characters except internode length for GCA indicating role of both additive and nonadditive gene action. However, higher proportion of SCA variance (?2 sca) than GCA variance (?2 gca) revealed preponderance of non-additive gene action for all characters except capsule length and capsule width under study. Further, variance due to dominance played a significant role than additive variance in all traits except capsule width and 100-seed weight. Nirmala is considered as the best general combiner owing to its higher estimate of gca effects for yield per plant, for days to maturity, plant height, branches per plant, capsules per plant, seeds per capsule, capsule length and 100-seed weight. Among cross combinations; Rama × GT-10, AT-382 × Krishna, AT-382 × Nirmala, Krishna × Nirmala, Krishna × Uma, Nirmala × Prachi and Prachi × Uma showed significantly higher sca effect for seed yield per plant in the desired direction indicating their merit for recovery of transgressive segregants for higher productivity following reciprocal recurrent selection.

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>

scholarly journals Combining Ability And Nature of Gene Effects Controlling Seed Yield And Its Component Traits In Alien Cytoplasm Based Hybrids In Sunflower (Helianthus Annuus L.)

2021 ◽  
Author(s):  
Manish Sharma ◽  
Y.G.SHADAKSHARI
Keyword(s):  
Seed Yield ◽  
Seed Weight ◽  
Oil Content ◽  
Stem Diameter ◽  
Gene Effects ◽  
Seed Filling ◽  
Volume Weight ◽  
Component Traits ◽  
The Mean ◽  
100 Seed Weight

Abstract The present research aimed to study gene effects for seed yield and its component traits in sunflower hybrids having diverse cytosterile sources from Helianthus annuus and H. argophyllus. Five lines and ten testers were crossed in a line x tester mating design to develop 50 F1 hybrids for genetic analysis. The analysis of variance revealed significant differences among the traits studied. Seasonal variation was found significant for all the traits except stem diameter, volume weight and seed filling percentage. The mean squares of lines and testers from crosses both determine the GCA were also significant for most of the traits which revealed the prevalence of additive variances and additive gene action. The mean squares of lines x tester interactions were also significant for all the traits considered. The significance of lines x tester interactions indicated that SCA is also important in the expression of traits and demonstrated the value of non-additive variances and dominant genes controlling the various traits. Among the diverse cytosterile lines, ARG-6-3-1-4 was identified as the best general combiner for stem diameter, volume weight, seed yield, hull content, oil content and oil yield. While, the line ARG-2-1-2 was best general combiner for days to 50 per cent flowering, head diameter, 100 seed weight and seed filling percentage. The tester M17-R was observed to be best general combiner for earliness and volume weight, while RHA 93 was the best general combiner for plant height, seed yield and oil content. The best cross combinations; MUT-2-8-3-2 x GKVK 3 was found to be good specific combiner for stem diameter, 100 seed weight, seed yield, seed filling percentage, oil content and oil yield, while ARG-6-3-1-4 x GKVK 3 was good specific combiner for days to 50% flowering, plant height and 100 seed weight.

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 Evaluation of Heritability and Genetic Advance for Morphological Traits of Indian Mustard Germplasms

2020 ◽  
pp. 39-47
Author(s):  
Dinesh Awasthi ◽  
Vimlesh Kumar Tiwari ◽  
V. S. Kandalkar
Keyword(s):  
Seed Yield ◽  
Seed Weight ◽  
Harvest Index ◽  
Indian Mustard ◽  
Heritability Estimate ◽  
Genetic Advance ◽  
Additive Gene ◽  
High Heritability ◽  
Level Of Significance ◽  
Number Of Seeds

Genotypic source of variations were significant for all characters in 168 genotypes including 7 checks of Indian mustard at 5% level of significance. Maximum seed yield per plant (g) and harvest index was recorded in MRNJ-82; whereas, the minimum days to 50% flowering and maturity were recorded in RVM-1 and MRNJ-5 respectively. In genotypes viz; MRNJ-36, RVM-2, MRNJ-59, JM-1, MRNJ-53 and MRNJ-35 had maximum plant height (cm), number of primary branches per plant, number of secondary branches per plant, number of siliqua per plant, number of seeds per siliqua and 1000 seed weight (g). Highest GCV and PCV were recorded for seed yield per plant which indicates for improvement through selection among these genotypes. High heritability along with high genetic advance as percentage of mean has been noticed for seed yield per plant and harvest index indicating less influence of environment and also the presence of additive, dominance and interaction among genes in the expressions of these characters. Low genetic advance along with low heritability estimate were observed for number of primary branches per plant and number of seeds per siliqua. This indicates the involvement of additive and non-additive gene actions in their inheritance.

scholarly journals Genetic variation and characterization of different linseed genotypes (Linum usitatissimum L.) for agro-morphological traits

2017 ◽  
Vol 9 (2) ◽  
pp. 754-762
Author(s):  
Satish Paul ◽  
Nimit Kumar ◽  
Pankaj Chopra
Keyword(s):  
Seed Yield ◽  
Harvest Index ◽  
Crop Improvement ◽  
Genetic Advance ◽  
Linum Usitatissimum L ◽  
Biological Yield ◽  
Additive Gene ◽  
High Heritability ◽  
Apparent Variation

Forty five linseed genotypes (local collection) were subjected to study the genetic variability at the Experimental Farm of the Department of Crop Improvement, CSK Himachal Pradesh KrishiVishvavidyalaya, Palampur, during rabi 2015-2016. Analysis of variance revealed that the differences among all the genotypes were significant for all the traits. Mean performance of genotype KLSA-15 for seed yield recorded highest contribution of 3.69 grams. The PCV values were greater than the GCV values for all the traits studied indicating that the apparent variation is not only due to genotypes but, also due to the influence of environment. The highest PCV (64.17) and GCV (64.09) were found for biological yield per plant. Higher estimates of PCV and GCV were obtained for primary branches per plant, secondary branches per plant, capsules per plant, biological yield per plant, harvest index (45.94 and 44.60) and seed yield per plant (52.39 and 50.94). All the characters studied in the present investigation expressed high heritability estimates ranging from 62.95 to 99.77 percent for technical height and biological yield per plant respectively. It was revealed that most of the traits under study showed low genetic advance, high heritability (94.23) and high genetic advance (31.06) was recorded for harvest index indicating predominance of additive gene action for this character. Simple selection based on phenotypic performance of this character would be more effective. The cluster analysis showed that the genotypes were placed into four clusters, showing inter-cluster divergence, which is important for future hybridization programme.

scholarly journals GENE ACTION AND HERITABILITY ESTIMATES OF QUANTITATIVE CHARACTERS AMONG LINES DERIVED FROM VARIETAL CROSSES OF SOYBEAN

2017 ◽  
Vol 18 (1) ◽  
pp. 25 ◽  
Author(s):  
Lukman Hakim ◽  
Suyamto Suyamto
Keyword(s):  
Genetic Variability ◽  
Seed Size ◽  
Harvest Index ◽  
Gene Action ◽  
Gene Effects ◽  
Quantitative Characters ◽  
Days To Maturity ◽  
Additive Gene ◽  
Pod Number ◽  
Selection Of

<p>The knowledge of genetic action, heritability and genetic variability is useful and permits plant breeder to design efficient breeding strategies in soybean.  The objectives of this study were to determine gene action, genetic variability, heritability and genetic advance of quantitative characters that could be realized through selection of segregation progenies. The F1 population and F2 progenies of six crosses among five soybean varieties were evaluated at Muneng Experimental Station, East Java during the dry season of 2014.  The lines were planted in a randomized block design with four replications.  The seeds of each F1 and F2 progenies and parents were planted in four rows of 3 m long, 40 cm x 20 cm plant spacing, one plant per hill. The result showed that pod number per plant, seed yield, plant yield and harvest index were found to be predominantly controlled by additive gene effects.  Seed size was also controlled by additive gene effects, with small seed dominant to large seed size.  Plant height was found to be controlled by both additive and nonadditive gene effects.  Similarly, days to maturity was due mainly to additive and nonadditive gene effects, with earliness dominant to lateness.  Days to maturity had the highest heritability estimates of 49.3%, followed by seed size (47.0%), harvest index (45.8%), and pod number per plant (45.5%).  Therefore, they could be used in the selection of a high yielding soybean genotype in the F3 generation. </p>

Studies on genetic variability, character association and path analysis for yield and its contributing traits in chickpea [Cicer arietinum (L.)]

2017 ◽  
Author(s):  
D. K. Chopdar ◽  
Baudh Bharti ◽  
P. P. Sharma ◽  
R. B. Dubey ◽  
Brajendra Brajendra ◽  
...  
Keyword(s):  
Seed Yield ◽  
Seed Weight ◽  
Gene Action ◽  
Plant Biomass ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Additive Gene Action ◽  
Additive Gene ◽  
100 Seed Weight ◽  
Number Of Seeds

Genetic parameters, variability, heritability and genetic advance were studied among 20 genotypes of chickpea during during Rabi 2012-13. The characters, seed yield per plant and 100-seed weight had high values of GCV, heritability and GAM and were found to be under greater control of additive gene action. While the traits, primary branches per plant, number of seeds per pod and protein content with moderate to low heritability coupled with low genetic advance appear to be more affected by on non-additive gene action. Correlation and path coefficient analysis for seed yield per plant and its components indicated that out of 11 characters, seed yield per plant showed significant and positive correlation with harvest index, number of seeds per pod, primary branches per plant, number of pods per plant, biomass per plant, and 100-seed weight indicating that an intense selection for these characters will improve seed yield in chickpea. Path coefficient analysis revealed that days to maturity, primary branches per plant, biomass per plant, harvest index, protein content and number of seeds per pod were major characters influencing seed yield directly and indirectly. The results indicated that number of seeds per pod should be given greater emphasis for manipulation of seed yield in chickpea.

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