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 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.

scholarly journals Effect of Mechanical, Cultural and Chemical Weed Control on Yield and Yield Components of Pigeonpeas, Cajanus cajan (L.) Millsp.

1969 ◽  
Vol 58 (4) ◽  
pp. 466-472
Author(s):  
R. Abrams ◽  
F. J. Juliá
Keyword(s):  
Plant Height ◽  
Weed Control ◽  
Yield Components ◽  
Cajanus Cajan ◽  
Seed Weight ◽  
Yield Increase ◽  
Pod Yield ◽  
Yield And Yield Components ◽  
Agricultural Experiment ◽  
Number Of Seeds

Four determinate and four indeterminate types of pigeonpea cultivars and experimental lines were grown at the Isabela Agricultural Experiment Substation during 1971-72 to determine the effects of mechanical, cultural and chemical weed control practices on six characters affecting pigeonpea yield. The chemical, mechanical and hand weed control treatments increased the green pod yield and the number of pods per plant, but had no effect on plant height, number of days to flower, seed weight, and number of seeds per pod. Greatest yield increase was obtained by weed control with chemicals.

Genotypic and phenotypic variances and correlations in field beans (Vicia faba L.)

1973 ◽  
Vol 81 (3) ◽  
pp. 445-448 ◽  
Author(s):  
T. E. Yassin
Keyword(s):  
Vicia Faba ◽  
Seed Yield ◽  
Environmental Effects ◽  
Yield Components ◽  
Seed Weight ◽  
Genotypic Variance ◽  
Yield And Yield Components ◽  
Vicia Faba L ◽  
Field Beans ◽  
Number Of Seeds

SUMMARYEstimates of genotypic and phenotypic variances and covariances were determined for yield and yield components in ten field beans varieties grown at two locations over three seasons.Substantial amounts of genotypic variance were obtained for yield/plot, 1000-seed weight and number of pods/plant. Variability in number of seeds/pod and much of the variation in yield/plant was attributable to environmental effects and their interaction with the varieties. Seed yield/plot was closely and positively correlated with number of pods/plant and yield/plant, while it was closely and negatively correlated with 1000-seed weight.The implications of these correlations for selection are discussed.

scholarly journals Correlation and path coefficient analysis of seed yield and yield components of French bean (Phaseolus vulgaris L.) genotypes in sub-tropical region.

2020 ◽  
Author(s):  
S. Kalauni
Keyword(s):  
Seed Yield ◽  
Yield Components ◽  
Seed Weight ◽  
French Bean ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Pod Yield ◽  
Pod Length ◽  
100 Seed Weight ◽  
Number Of Seeds

Abstract This research aims to determine the relationship between yield and yield components of French bean using multivariate statistical techniques. The study was conducted at Horticulture Research Station, Dailekh, Nepal for consecutive three year of 2016-2018. In this study, six French bean genotypes were used. The following measurements and observations were made: germination (%), pod length (cm), pod diameter (mm), individual pod weight and number of seeds pod-1, number of dry pods plant-1, dry pod yield plant-1 and dry pod yield (t/ha), 100 seed weight (g) and seed yield (t/ha). Highly significant and positive correlation was recorded between seed yield and individual pod weight (r=0.659***), number of seed pod-1 (r=0.548**) and pod length (0.459*). Conversely, pod diameter showed a negative and non-significant (-0.025) correlation on seed yield. Based on simple regression analysis, linear regression of individual pod weight, number of seed pod-1 and pod length leads to an increase in the seed yield (t/ha) by 0.188, 0.285 and 0.103 units respectively. From the path coefficient analysis maximum positive direct effect on seed yield was recorded by number of seeds pod-1 (0.767) followed by 100 seed weight (0.530) and individual pod weight (0.429). Also, stepwise multiple linear regression analysis revealed that three traits including individual pod weight, 100 seed weight and number of dry pod plant-1 with R2 = 68.22% showed their overall contribution towards seed yield. The rest of the variance (R2 = 31.78%) was contributed by the variables that were not included in the study. Results concerning four statistical methods showed that individual pod weight appeared to be most effective contributor of seed yield followed by the number of seed pod-1, 100 seed weight, and pod length. Therefore, attention should be paid to these characters in any breeding program during the selection criteria for improving the seed yield.

scholarly journals Determining Critical Weeding Period in Mungbean (Vigna radiata (L.) Wilczek) Under Rain Fed Condition in Western Tigray, Ethiopia

2020 ◽  
pp. 1-6
Author(s):  
Goitom Teame ◽  
Gebremedhin Gebregergs ◽  
Zerabruk Gebremedhin ◽  
Darge Gramy
Keyword(s):  
Vigna Radiata ◽  
Yield Components ◽  
Seed Weight ◽  
Growing Seasons ◽  
Weed Growth ◽  
Significant Difference ◽  
Weed Infestation ◽  
Plot Area ◽  
100 Seed Weight ◽  
Number Of Seeds

Mungbean (Vigna radiata (L.) Wilczek) belongs to the order of Fabales, Faboideae sub family and Fabaceae or Leguminosae family. The field experiment was carried out in 2014-2016 main growing seasons at Humera and Kebabo with the aim of determining critical weeding period. The experiment was conducted in RCBD design replicated three times and consists of 15 treatments. The crop was kept weed-free for the first 10, 20, 30, 40, 50 and 60 days after sowing and then remained weedy till harvest or kept weedy for the same periods and then remained weed- free till harvest. Weed free and weedy treatments till harvest were included as controls for comparison. Mungbean variety of Arkeb was sown at a distance of plant to plant 5 cm and row to row 40 cm and the plot area was 10 m2. The combine analysis of three winter seasons revealed that unrestricted weed growth significantly reduce yield of mungbean by 52% compared to completely weed free. Mungbean seed yield increased when the duration of weed infestation period decreased. Yield components such as number of pods per plant didn’t show significant difference, while number of seeds per pod and 100 seed weight shown significant difference. The critical weeding period for mungbean was 10-20 and 30-40 days after sowing.

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 The Impact of Soil Amendment of Super Absorbent Polymer on Grain Yield and Yield Components of Corn in Center of Iran

2019 ◽  
Vol 52 (2) ◽  
pp. 151-157
Author(s):  
M.H. Shahrajabian ◽  
W. Sun ◽  
Q. Cheng ◽  
M. Khoshkharam
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Seed Weight ◽  
Soil Amendment ◽  
Above Ground Biomass ◽  
Super Absorbent Polymer ◽  
Ground Biomass ◽  
Yield And Yield Components ◽  
Absorbent Polymer ◽  
100 Seed Weight

Abstract Corn is one of the most important cereal crop grown in Iran. A complete randomized design with four replications was used to analysis the influence of soil amendment of super absorbent polymer on grain yield and yield components of corn in center of Iran in 2016 and 2017. Treatments with super absorbent polymer were 0 kg/ha (S1), 15 kg/ha (S2), 30 kg/ha (S3), and treatments with fertilizers were 50% (F1), 75% (F2), 100% (F3), which could be combined into nine pots. The influence of super absorbent polymer was significant on spike weight in 2017, above-ground biomass in 2016, one hundred seed weight in 2016, and grain yield in 2017. There was no meaningful influence of super absorbent polymer on spike weight in 2016, above-ground biomass in 2017, 100 seed weight in 2017 and grain yield in 2016. Fertilizer treatments had significant influence on spike weight, above-ground biomass, 100 seed weight, and grain yield in both 2016 and 2017. The interaction between SAP and fertilizers had significant effect on above ground biomass in 2017. In both years, the highest spike weight, above ground biomass, 100 seed weight and grain yield was related to S3 (30 kg/ha), followed by S2 (15 kg/ha) and S1 (0 kg/ha), respectively. 100% application of fertilizer (F3) had obtained the maximum spike weight, above ground biomass, 100 seed weight and grain in both 2016 and 2017. Our data have shown that the applied SAP had a remarkable effect on corn growth and yield under different fertilization treatments, and its application of 30 kg/ha gave the best corn production index.

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

Genetic divergence, correlation and path coefficient analysis for the yield components of pigeonpea genotypes

2015 ◽  
Author(s):  
SNCVL Pushpavalli ◽  
C. Sudhakar ◽  
C. Sudha Rani ◽  
R. Raja Rajeswari ◽  
C. Jyothi Rani
Keyword(s):  
Seed Yield ◽  
Genetic Divergence ◽  
Yield Components ◽  
Seed Weight ◽  
Mean Value ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Days To Maturity ◽  
Cluster Distance ◽  
100 Seed Weight

The present investigation was carried out using thirty two pigeonpea genotypes during kharif 2013-14 to obtain the knowledge of correlation, path coefficient analysis for the yield components and genetic divergence. The range of GCV was observed from 9.81 to 40.88% for the traits under study which provides information regarding the extent of variability present among the genotypes. Seed yield was significantly and positively correlated with number of secondary branches/plant, pods/plant and 100-seed weight. Path coefficient analysis indicated that number of secondary branches exhibited maximum direct effect followed by number of pods/plant and 100 seed weight. The genotypes were grouped into eight different clusters based on Mahalonobis D2 statistics. Clusters II and III exhibited maximum inter cluster distance of 8.80. Days to 50% flowering contributed to maximum genetic divergence followed by seed yield. Genotypes in cluster III recorded highest mean value for days to maturity, number of secondary branches and seed yield.

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