scholarly journals Characterization of lentil (Lens culinaris M.) germplasm through phenotypic marker

2013 ◽  
Vol 10 (2) ◽  
pp. 197-204
Author(s):  
R Gupta ◽  
SN Begum ◽  
MM Islam ◽  
MS Alam
Keyword(s):  
Seed Weight ◽  
Lens Culinaris ◽  
Phenotypic Marker ◽  
Weight Yield ◽  
Selection Indices ◽  
Cluster Distance ◽  
Anova Table ◽  
High Heritability ◽  
Positive Direct ◽  
100 Seed Weight

An experiment was carried out to evaluate the performance of 22 lentil (Lens culinaris M.) genotypes for their yield and yield contributing characters at phenotypic level, relationship and diversity among the individuals and characterize the germplasm through phenotypic markers. ANOVA table revealed that significant variation was found among the genotypes for the characters plant height, days to maturity, number of primary branches plant-1, number of secondary branches plant-1, height of the lowest pod and 100-seed weight. Yield plant-1 was positively correlated with pods plant-1, seeds pod-1, seeds plant-1 and 100-seed weight. Considering yield plant-1 LM-123-7 was the best followed by LM-132-7, ICARDA-2348 and LM-13-1. Days to flowering, days of maturity and 100-seed weight showed high heritability. Path analysis revealed that pods plant-1 and 100-seed weight had positive direct effects on yield plant-1. The genotypes were grouped into five clusters based on Euclidean distance following Ward’s method and the highest intra-cluster distance was found in cluster IV and inter-cluster distance between the cluster IV and cluster V. Study of selection indices through discriminate functions observed that LM-123-7 ranked as the best followed by LM-132-7, LM-21-6, LM-24-3 and LM-14-2 and suggests that the highest scoring genotypes might be recommended for farmer’s cultivation for better yield. DOI: http://dx.doi.org/10.3329/jbau.v10i2.14682 J. Bangladesh Agril. Univ. 10(2): 197-204, 2012

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 Study of Genetic Diversity on Yield and Yield Attributing Components in Lentil (Lens culinaris Medik.) Under Normal and Late Sown Conditions

2020 ◽  
pp. 57-62
Author(s):  
Fariha Adan ◽  
Anil Kumar ◽  
Anand Kumar ◽  
Chandan Kishore ◽  
Ravi Ranjan Kumar
Keyword(s):  
Yield Components ◽  
Seed Weight ◽  
Lens Culinaris ◽  
Genotypic Variability ◽  
Yield And Yield Components ◽  
Cluster Distance ◽  
Correlation And Path Analysis ◽  
Indirect Relationship ◽  
100 Seed Weight ◽  
Number Of Seeds

The present investigation was carried out on thirty-six lentil genotypes at the farm of Bihar Agricultural University, Sabour, Bhagalpur in 2018-19. The genetic divergences were examined using Mahalanobis D2 statistics for two dates of sowing i.e normal sown and late sown condition. The presence of variation among genotypes was revealed by ANOVA for considerable traits which come out as significant for all traits under study except several primary branches per plant, the number of pods per cluster under both normal and late sown condition and the number of seeds per pod in late sown condition. The study on genotypic variability, correlation and path analysis was done to know the direct and indirect relationship on seed yield and yield components for enhancement of economic yield. The total genotypes were grouped into 7 clusters under a timely sown condition such as. Cluster I being the largest comprising 10 genotypes, followed by cluster II with 8 genotypes, cluster III with 7 genotypes, cluster IV had 6 genotypes. Cluster V with 3 genotypes and cluster VI and cluster VII was monogenic. Coming to late sown condition, five clusters were formed displaying cluster II with a maximum number of genotypes (18 genotypes) followed by cluster I (11genotypes), cluster III (5 genotypes) and lastly, cluster IV and V were monogenic. 100 seed weight contributed maximum towards genetic divergence followed by grain yield per plant and number of pods per plant in timely sown and 100 seed weight chased by the number of pods per plant and number of secondary branches per plant under a late sown environment which can be integrated into the enhancement of productivity of lentil. Owing to the results of inter-cluster distance and mean performance of clusters for different traits, the genotypes such as FLIP 2010-86L and X2011S-172-1 under normal sown and likewise, Pusa Vaibhav and IPL-406 under late sown environment are expected to trigger the heterotic combination and obtain the desirable segregants for yield and its determinants. 

scholarly journals Studies on Genetic Architecture Through Variability Parameters and Association Analysis in Cowpea [Vigna Unguiculata (L.) Walp.]

2021 ◽  
Vol 50 (3) ◽  
pp. 557-564
Author(s):  
Mayuri Sahu
Keyword(s):  
Association Analysis ◽  
Seed Weight ◽  
Genetic Architecture ◽  
Forage Yield ◽  
New Variety ◽  
High Heritability ◽  
Selection For ◽  
Positive Direct ◽  
100 Seed Weight ◽  
Additive Genes

Genetic architecture through variability parameters and association analysis for green forage yield and its characters in 78 germplasm lines including 3 checks (MFC-8-14, UPC-5286 and TSFC-12-15) was carried out during Rabi 2015-2016. All the fifteen studied characters exhibited existence of variability significantly. This indicated existence of sufficient variability among the genotypes for the mentioned characters and sufficient scope for development of new variety or genotypes. High genetic advances as percentage of mean were recorded for green forage yield (q/ha/day). High heritability estimates were recorded for 100-seed weight (g) and by green forage yield (q/ha). Correlation coefficient showed significant positive correlation with dependent character green forage yield with green forage yield per day at genotypic and phenotypic level. Maximum positive direct effect was obtained for green forage yield per day. These results indicate that green forage yield can be improved much better way by selection. Selection for these traits is likely to accumulate more additive genes leading to further improvement of performance of genotypes. Bangladesh J. Bot. 50(3): 557-564, 2021 (September)

scholarly journals Multivariate Analysis in Lentil (Lens culinaris L.)

1970 ◽  
Vol 23 (1) ◽  
pp. 9-12 ◽  
Author(s):  
AA Jewel ◽  
AK Chowdhury ◽  
AKMM Alam ◽  
MA Latif ◽  
MM Hassan
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Seed Weight ◽  
Lens Culinaris ◽  
Principal Component ◽  
Plot Yield ◽  
Days To Maturity ◽  
Cluster Distance ◽  
100 Seed Weight

Genetic divergence among 22 genotypes of lentil was estimated using D2 and principal component analysis. The genotypes under study fell into four clusters. The intra-cluster value was the maximum in cluster I and the minimum in cluster II. The inter-cluster distance was larger than the intra-cluster distance in all the cases suggesting the wider genetic diversity among the genotypes of different groups. The inter-cluster value indicated maximum distance between cluster I and II than cluster III and IV. Thus the genetically diverged genotypes of the clusters could be used as parent in hybridization program to get desirable genotypes. Cluster I had the highest mean for days to maturity, plant height, pods/plant and per plot yield while cluster II and III had the highest days to first flowering and 100 seed weight, respectively. Genotypes with these characters in respective groups would, therefore, offer a good scope of improvement of lentil through selection.   Key words: Lentil; cluster analysis; divergence; hybridization DOI: http://dx.doi.org/10.3329/bjpbg.v23i1.9312 BJPBG 2010; 23(1): 9-12

scholarly journals Morphological characterization and genetic diversity in lentil (Lens culinaris medikus ssp. Culinaris) germplasm

2014 ◽  
Vol 4 (1) ◽  
pp. 70-76
Author(s):  
KU Ahamed ◽  
B Akhter ◽  
MR Islam ◽  
MR Humaun ◽  
MJ Alam
Keyword(s):  
Seed Weight ◽  
Female Flower ◽  
Morphological Characterization ◽  
Flower Initiation ◽  
Mean Values ◽  
Maximum Value ◽  
Cluster Distance ◽  
The Mean ◽  
100 Seed Weight ◽  
Number Of Seeds

Genetic divergence of 110 lentil germplasm with checks was assessed based on morphological traits using multivariate analysis. Mahalanobis generalized distance (D2) analysis was used to group the lentil genotypes. Significant variations among lentil genotypes were observed in respect of days to 1st flowering, days to 50% flowering, days to maturity, plant height, and number of pods per peduncle, number of pods per plant, number of seeds per plant, 100 seed weight and yield per plant. Considering the mean values, the germplasm were grouped into ten clusters. The highest number of genotypes (17) was in cluster X and lowest (5) both in cluster II and IV. Cluster IV had the highest cluster mean for number of pods per plant (297.08), number of seeds per plant (594.16), 100 seed weight (1.44 g) and yield per plant (8.53 g). Among them, the highest inter-cluster distance was obtained between the cluster IV and I (24.61) followed by IV and III (22.33), while the lowest was between IX and II (1.63). The maximum value of inter-cluster distance indicated that genotypes belonging to cluster IV were far diverged from those of cluster I. The first female flower initiation was earlier in BD-3812 (49 days) in cluster I and cluster IV had highest grain yield per plant (8.53). BD-3807 produced significant maximum number of pods per plant (298.40) in cluster IV. DOI: http://dx.doi.org/10.3329/ijarit.v4i1.21095 Int. J. Agril. Res. Innov. & Tech. 4 (1): 70-76, June, 2014

Genetic Divergence Analysis in Mungbean (Vigna radiata L. Wilczek)

2019 ◽  
Vol 4 (01) ◽  
pp. 106-109
Author(s):  
Amit Tomar ◽  
D. K. Upadhyay
Keyword(s):  
Seed Weight ◽  
Block Design ◽  
Number Of Clusters ◽  
Randomized Block Design ◽  
Days To Maturity ◽  
Cluster Distance ◽  
Farm Crop ◽  
Pod Length ◽  
100 Seed Weight ◽  
Number Of Seeds

An experiment involving 45 genotypes/strains of mungbean was conducted during kharif 2018 at University Farm (Crop Cafeteria) of Rani Lakshmi Bai Central Agricultural University (RLBCAU), Jhansi in a Randomized Block Design with three replications. Data were recorded and analyzed for 10 characters viz.; days to 50% flowering, days to maturity, plant height (cm), number of primary branches per plant, number of clusters per plant, number of pods per plant, pod length (cm), number of seeds per pod, 100-seed weight (g) and grain yield per plant (g). All the forty five genotypes were grouped into seven different clusters using D2 statistics. Cluster-I, II, III, IV, V, VI and VII had 8, 5, 4, 5, 13, 2 and 8 genotypes, respectively. The greatest inter cluster distance (297.39) was between cluster-II and cluster-V.

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 divergence analysis in chickpea germplasm

2018 ◽  
Author(s):  
Renuka Shivwanshi ◽  
Anita Babbar
Keyword(s):  
Seed Yield ◽  
Genetic Divergence ◽  
Seed Weight ◽  
Quantitative Traits ◽  
Mean Values ◽  
Cluster Distance ◽  
Biological Yield ◽  
Per Se ◽  
Total Divergence ◽  
100 Seed Weight

A total of 434 germplasm lines of chickpea were assessed for 13 quantitative traits during rabi 2015-16 at JNKVV, Jabalpur. Genotypes were grouped into fourteen clusters. Clusters II and cluster XIV and cluster XII and cluster XIV, had maximum inter cluster distance. The characters viz.,effective pods per plant followed by biological yield per plant, plant height and 100-seed weight were main contribution to total divergence. Cluster XIV and cluster XIII had highest mean values for maximum number of characters. Based on the result IC 83812, EC 198729, EC 490027, IC 53245, IC 83827and IC 83889 are recommended for hybridization, as these genotypes showed good per se performance for seed yield and belong to the highly diverse clusters.

Genetic study and selection indices for grain yield of mungbean

2016 ◽  
Author(s):  
P. Choudhary ◽  
S. K. Payasi ◽  
N. K. Patle
Keyword(s):  
Grain Yield ◽  
Selection Index ◽  
Yield Potential ◽  
Genetic Advance ◽  
Economic Weight ◽  
Selection Indices ◽  
Biological Yield ◽  
Additive Gene ◽  
High Heritability ◽  
Positive Direct

Mungbean (Vigna radiata L.) genotypes along with two parents were studied to assess the magnitude of genotypic variability, heritability and selection indices among the yield components and their direct and indirect effects on grain yield. On the basis of genetic variability, all the traits exhibited high heritability estimates coupled with high genetic advance as percent of mean (h2³ 60%, GAM³20 %) except 100 grain weight (h2 = 0.51, GAM= 8.0 %), indicating the preponderance of additive gene action. Biological yield/plant and harvest index had the most positive direct effects (1.448, 1.144, respectively) on grain yield/plant, indicating these traits synergistically affect photosyntates. Based on Smith-Hazel indices the highest genetic advance (17.56%) in grain yield/plant obtained on linear combination of traits such as days to 50% flowering, days to maturity, plant height, pod length, grains/pod and biological yield/plant (X2X3X4X7X8X10) accomplished through a completely new selection-index in which economic weight of each traits were equally distributed, suggesting that these parameters may be considered as prime traits during the course of selection to realize higher yield potential in green gram.

scholarly journals GENETIC DIVERGENCE STUDIES IN BLACKGRAM (Vigna mungo L.) FOR YIELD AND QUANTITATIVE TRAITS

1970 ◽  
pp. 24-26
Author(s):  
S. SRI VIDYA, T. SABESAN, K. SARAVANAN
Keyword(s):  
Plant Breeding ◽  
Genetic Divergence ◽  
Seed Weight ◽  
Mean Values ◽  
Flower Plant ◽  
Cluster Distance ◽  
Sufficient Variation ◽  
Pod Length ◽  
100 Seed Weight ◽  
Fair Degree

The genetic divergence was estimated in 21 blackgram genotypes, using Mahalanobis D2 statistics. The experiment was conducted at Plant Breeding Farm, Department of Genetics and Plant Breeding, Faculty of Agriculture, Annamalai University during January 2017. Analysis of genetic variance indicated the presence of sufficient variation among the selected genotypes. Based on 11 morphological and quality characters namely, days to first flower, plant height (cm), number of primary branches, number of clusters per plant, number of pods per plant, pod length (cm), pod weight (g), number of seeds per pod, seed size (cm), 100 seed weight (g), yield per plant (g), these genotypes were grouped into 5 clusters showing fair degree of relationship between geographical distribution and genetic divergence. Cluster I, with 6 genotypes, was the largest cluster followed by cluster IV and V with 5 genotypes. The intra cluster distance was maximum (D=809.83) in cluster V. The maximum inter cluster distance (D2=2932.162) was recorded between cluster II and III. All cluster mean values are distributed in relatively distant clusters. Traits like yield per plant (70.47%) followed by 100 seed weight (17%) were the major contributors to total genetic divergence.

Sign in / Sign up

Export Citation Format

Share Document