Nature of genetic diversity for seed yield and its component traits in urdbean [Vigna mungo (L.) Hepper]

2016 ◽  
Vol 50 (1) ◽  
Author(s):  
P. Y. Kamannavar ◽  
S. B. Revanappa ◽  
A. G. Vijaykumar ◽  
K. Basamma ◽  
Ganajaxi
Keyword(s):  
Genetic Diversity ◽  
Plant Height ◽  
Seed Yield ◽  
Morphological Traits ◽  
Vigna Mungo ◽  
Breeding Lines ◽  
Cluster Distance ◽  
Component Traits

Genetic diversity was assessed in thirty urdbean cultivars including advance breeding lines by Mahalanobis D<sup>2</sup> statistics using seed yield and its component morphological traits. Analysis of genetic diversity revealed considerable amount of diversity among the genotypes and led to their grouping into eight clusters. The cluster-I comprising 14 genotypes was the largest followed by cluster-II and III with 5 and 4 genotypes respectively. The remaining clusters were monogenotypic. Pods per plant (32.5%), seed yield per plant (30%) and plant height (21.5%) were mainly responsible for genetic diversity. Based on inter-cluster distance and mean performance of clusters for different traits, the crosses among genotypes like, DBG-5, DU-1, Manikya, KU-7638, and DBG-3 are expected to produce desirable segregants for yield and other yield related traits.

Principal Component and Genetic Diversity Analysis for Seed Yield and Its Related Components in the Genotypes of Chickpea (Cicer arietinum L.)

2021 ◽  
Author(s):  
S.K. Jain ◽  
L.D. Sharma ◽  
K.C. Gupta ◽  
Vipin Kumar ◽  
R.S. Sharma
Keyword(s):  
Genetic Diversity ◽  
Plant Height ◽  
Total Variation ◽  
Hierarchical Clustering ◽  
Seed Yield ◽  
Block Design ◽  
Principal Component ◽  
Experimental Unit ◽  
Component Traits ◽  
Selection Of

Background: The seed yield of chickpea can be improved by selection of superior genotypes on the basis of different yield and yield component traits. These genotypes exclusively utilize in breeding programs. Yield is a complex trait which is affected by several factors, hence, a well-known technique known as principal component analysis was used to identify and minimize the number of traits for effective selection. To obtain efficient recombinants, the identified component traits need to be combined from diverse parents through recombination breeding followed by selection of transgressive segregants. Hence, the present study is envisaged to measure the genetic diversity among genotypes of chickpea.Methods: The experimental material comprised of 40 chickpea genotypes evaluated in randomized block design with three replications. The experimental unit was four rows per plot with 4 m length and spacing between row to row and plant to plant maintained as 30 x 10 cm. NPK (20:40:00) fertilizers was applied as basal doses. The data were recorded for each genotype on nine quantitative traits as per standard methods. Descriptive statistics and PCA analysis was performed by using the statistical package SPSS 16.0 version and cluster analysis was done using the Wards method of hierarchical clustering technique.Result: Out of nine PCs only three PCs exhibited more than 1.0 Eigen value and showed about 73.4% variability. PC1 contributed 28.6% of the total variation and correlated with days to flowering, days to maturity, plant height, first pod height, seeds per pod and number of pods per plant while PC2 explained 21.00% of the total variation and dominated by plant height, first pod height and seed yield. PC3 explained an additional 13.00% of the total variation and dominated by primary branches per plant. Genotype commonly found in more PC, were BG 4016, IPCB 2015-165, IPC 2011-247, GNG2459 and RKG 19-4. Hierarchical clustering technique grouped 40 genotypes into two main clusters (A and B) and nine sub clusters. The present investigation depicted that the chickpea germplasm displayed considerable genetic diversity for most of the traits under consideration. 

Selection of promising genotypes of lentil (Lens culinaris Medik.) by deciphering genetic diversity and trait association

2018 ◽  
Author(s):  
A.K. Parihar ◽  
Sarvjeet Singh ◽  
R.K. Gill ◽  
R. Kumar ◽  
A.K. Parihar
Keyword(s):  
Genetic Diversity ◽  
Plant Height ◽  
Seed Yield ◽  
Principal Component ◽  
Area Index ◽  
Correlation Estimation ◽  
Plot Yield ◽  
Wide Range ◽  
Cluster Distance ◽  
Biomass Plant

A panel of fifty diverse genotypes of lentil were evaluated to assess the genetic diversity for 11 morpho-physiological attributes. The results revealed wide range of variability among the genotypes for the examined characteristics. The mean performance demonstrated that the best genotype for more than one trait viz., plot yield, yield/plant, Leaf Area Index (LAI), Crop Growth Rate (CGR), biomass and plant height was LL1384. Traits association approximation witnessed a positive and significant relationship of seed yield with most of the studied traits. Cluster analysis distributed genotypes into seven distinct clusters. Cluster III happened to be the largest comprising of 20 genotypes, followed by Cluster VII comprising of 9 genotypes. The maximum inter-cluster distance was perceived between clusters II and IV which suggests the possibility of high heterotic effect if cross will be made between the individuals of these clusters. The principal component analysis developed 11 Eigen vectors and, of these three principal components had explained about 82.50% of variations. The characters that had the highest weight in component first were plot yield, yield/plant, pods/plant, CGR, biomass/plant, LAI and plant height, which explained 57.03% of the total variance. The biplot results were in accordance with correlation estimation, indicating that indirect selection based on component traits would help in improving the seed yield in lentil. Hybridization among genetically diverse genotypes of different clusters would be helpful in broadening the genetic base as well as in the creation of desirable recombinants for developing new improved lentil varieties.

scholarly journals Assessment of Genetic Diversity of Chickpea Genotypes (Cicer arietinum L.) Using D2 Statistics

2021 ◽  
pp. 51-56
Author(s):  
M. Karthikeyan ◽  
Sharad Pandey ◽  
Gideon Synrem ◽  
K. R. Saravanan
Keyword(s):  
Genetic Diversity ◽  
Plant Height ◽  
Cicer Arietinum ◽  
Seed Yield ◽  
Block Design ◽  
Rabi Season ◽  
Cicer Arietinum L ◽  
Quantitative Characters ◽  
Randomized Block Design ◽  
Cluster Distance

An experiment using twenty genotypes of chickpea (Cicer arietinum L.) was conducted during Rabi season of 2019-2020, to find the genetic diversity using D2 statistics. The experiment was laid out in randomized block design with three replications at the experimental field of Himgiri Zee University, Dehradun. The observations was recorded on  nine quantitative characters where five randomly selected plants were taken the average was computed while the traits days to 50 % flowering and days to 100 % maturity was taken from plot basis. Results revealed that the genotypes were grouped into 4 clusters where Cluster-I had fifteen genotypes and cluster II had three genotypes while one genotype each was present in cluster III and IV. The seed yield per plant contributed maximum towards genetic diversity (32.00 %) followed by plant height at maturity (14.00 %) and number of secondary branches (9.00 %). The maximum intra cluster distance was found in cluster II (164.691) indicating that the 15 genotypes including in the cluster II were most divergent. However, maximum inter cluster distance was noticed between cluster I and cluster II (313.247) which could be used in hybridizing program.

Estimates of genetic variability, divergence, correlation and path coefficient for morphological traits in fenugreek (Trigonella foenum-graecum L.) genotypes

2019 ◽  
Author(s):  
R. S. Meena ◽  
Sharda Choudhary ◽  
A. K. Verma ◽  
N. K. Meena ◽  
Suresh Chand Mali
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Morphological Traits ◽  
Path Coefficient ◽  
Trigonella Foenum Graecum ◽  
Cluster Distance ◽  
Selection For ◽  
Total Divergence ◽  
Trigonella Foenum Graecum L ◽  
Number Of Seeds

Seventeen genotypes of fenugreek (Trigonella foenum-graecum L.) were evaluated at ICAR-NRCSS, Ajmer (Rajasthan) during rabi 2014-15 and 2015-16. The highest GCV and PCV were observed for seed yield per plot followed by test weight and 5 plants seed yield. The highest genetic advance was observed for seed yield per plot followed by 5 plants seed yield and plant height. The highest heritability was estimated for 5 plants seed yield followed by plant height and number of primary branches. The genotypes were grouped into six clusters. Inter cluster distance was maximum between clusters IV and VI followed by III and VI while minimum between clusters II and IV. Whereas, the intra-cluster distance was maximum for Cluster-I. Among the eight characters studied for genetic divergence, 5 plants’ seed yield contributed the maximum accounting for 46.32% of total divergence, followed by number of primary branches (16.9%) and plant height (12.5%). It was concluded that improvement of seed yield in fenugreek can possible through selection for number of pod per plant, number of seeds per pod, plant height and number of primary branches. Molecular studies also supported the same findings.

Study onGenetic Variability, Heritability and Genetic Advance for Seed Yield and Component Traits in Rice

2017 ◽  
Vol 4 (03) ◽  
Author(s):  
PUNIT KUMAR ◽  
VICHITRA KUMAR ARYA ◽  
PRADEEP KUMAR ◽  
LOKENDRA KUMAR ◽  
JOGENDRA SINGH
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Seed Yield ◽  
Flag Leaf ◽  
Grain Weight ◽  
Major Influence ◽  
Genetic Advance ◽  
Component Traits ◽  
Biological Yield ◽  
1000 Grain Weight

A study on genetic variability, heritability and genetic advance for seed yield and component traits was made in 40 genotypes of riceduring kharif 2011-2012 at SHIATS, Allahabad. The analysis of variance showed highly significant differences among the treatments for all the 13 traits under study.The genotypes namely CN 1446-5-8-17-1-MLD4 and CR 2706 recorded highest mean performance for panicles per hill and grain yield. The highest genotypic and phenotypic variances (VG and VP) were recorded for spikelets per panicle (3595.78 and 3642.41) followed by biological yield (355.72 and 360.62) and plant height (231.48 and 234.35).High heritability (broad sense) coupled with high genetic advance was observed for plant height, flag leaf length, panicles per hill, tillers per hill, days to maturity, spikelet’s per panicle, biological yield, harvest index, 1000 grain weight and grain yield, indicating that selection will be effective based on these traits because they were under the influence of additive and additive x additive type of gene action. Highest coefficient of variation (PCV and GCV) was recorded for tillers per hill (18.42% and 17.23%), panicle per hill (19.76 % and 18.68%), spikelet’s per panicle (34.30 and34.07 %), biological yield (28.31 % and 28.12 %), 1000 grain weight (15.57 % and 15 31 %) and grain yield (46.66% and 23.54 %), indicating that these traits are under the major influence of genetic control, therefore the above mentioned traits contributed maximum to higher grain yield compared to other traits, indicating grain yield improvement through the associated traits.

scholarly journals Effects of Mutagens on Morphological traits of Psoralea corylifolia-A Medicinally Important Plant

2020 ◽  
Vol 26 (2) ◽  
Author(s):  
Ajey Karan Chaudhari ◽  
Anand Prakash Singh ◽  
B R Chaudhary
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Morphological Traits ◽  
Mutation Breeding ◽  
Yield Potential ◽  
Mutagenic Potential ◽  
Breeding Programs ◽  
Methane Sulphonate ◽  
Flowering Initiation ◽  
Yield Quality

Mutation breeding like in other plants can significantly strengthen medicinal plants breeding programs and help to produce novel varieties with higher yield potential and improved yield quality. The dry and healthy seeds of P. corylifolia IC 111228 were subjected to mutagenic treatments namely ethyl methane sulphonate (EMS) and sodium azide (SA). The treatment concentrations 15mM, 30mM, 45mM and 60mM of EMS and 1mM, 2mM, 3mM and 4mM of SA were chosen to evaluate the mutagenic potential in either case. The morphological traits were evaluated in M1 generation viz. plant height, days to flowering initiation, seed yield/plant and 100-seed weight. In EMS treatment 15 mM increased the plant height and seed yield, while in SA treatment 4 mM increased the seed yield/plant and 100-seed yield.

scholarly journals Interrelationships and genetic analysis of seed yield and morphological traits in mini core collection of Iranian landrace, breeding lines and improved chickpea (Cicer arietinum L.) cultivars

Genetika ◽  
2015 ◽  
Vol 47 (2) ◽  
pp. 383-393 ◽  
Author(s):  
Khosro Mohammadi ◽  
Reza Talebi
Keyword(s):  
Cicer Arietinum ◽  
Seed Yield ◽  
Seed Weight ◽  
Morphological Traits ◽  
Genetic Parameters ◽  
Plant Biomass ◽  
Breeding Lines ◽  
Cicer Arietinum L ◽  
100 Seed Weight ◽  
Number Of Seeds

To determine the association between genetic parameters and morphological traits in chickpea (Cicer arietinum L.) genotypes, a field experiment was conducted with 49 different landrace, breeding lines and cultivated chickpea genotypes using a 7?7 lattice square design with 2 replications in the 2012-2013 growing season. Genetic parameters including genetic, environmental and phenotypic variances; coefficients of variation; heritability; correlation coefficients; factor analysis and path coefficients were estimated, and cluster analysis was performed. High heritability values observed in measured traits indicating that these traits are controlled mainly by additive genes and that selection of such traits may be effective for improving seed yield. Number of seeds per plant, 100-seed weight and plant biomass had a positive direct effect on seed yield. These traits also had positive and highly significant phenotypic correlations with seed yield. Using principal component (PC) analysis, the first three PCs with eigenvalues more than 1 contributed 70.94% of the variability among accessions. The germplasm were grouped into 3 clusters. Each cluster had some specific characteristics of its own and the cluster I was clearly separated from cluster II and III. Overall the results, it can be concluded that seed yield in chickpea can be improved by selecting an ideotype having greater number of seeds per plant, 100-seed weight and plant biomass.

Combining ability studies for seed yield and its component traits in urdbean [Vigna mungo (L.) Hepper]

2016 ◽  
Vol 17 (4) ◽  
pp. 729
Author(s):  
Shivani Balouria ◽  
R. K. Mittal ◽  
V. K. Sood ◽  
Shayla Bindra
Keyword(s):  
Seed Yield ◽  
Combining Ability ◽  
Vigna Mungo ◽  
Component Traits

Heritabilities and phenotypic correlations of morphological traits of beans

1969 ◽  
Vol 73 (4) ◽  
pp. 349-359
Author(s):  
Manuel Mateo Solano ◽  
James S. Beaver ◽  
Freddy Saladín-García
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Harvest Index ◽  
Morphological Traits ◽  
Yield Potential ◽  
Narrow Sense ◽  
Node Number ◽  
Phenotypic Correlations ◽  
Biological Yield ◽  
Number Of Branches

Indeterminate bean (Phaseolus vulgaris L.) lines derived from crosses between small-seeded indeterminate and large-seeded determinate genotypes were used for estimating the heritabilities and phenotypic correlations for seed yield and morphological traits. The F2 generation of six bean populations was planted at the Fortuna Substation, Juana Díaz, Puerto Rico in October 1984. Seed yield per plant, number of branches per plant, plant height, node number per plant, biological yield, and apparent harvest index were measured for 50 indeterminate plants selected at random from each population. Fifty plant rows of each population were planted in February 1985 at the Fortuna Substation, and in March 1985 on a small farm in the Constanza valley of the Dominican Republic. Narrow sense heritabilities were estimated with parent-offspring regressions of the F2 and F3 generations, and phenotypic correlations were estimated with means of the F3 lines. The indeterminate F3 lines had greater plant height and fewer nodes than their indeterminate parents. Biological yields, harvest indexes and number of branches of the F3 plants were generally equal to or less than those of their indeterminate parents. Greater branch and node number and greater plant height, biological yield, and harvest index were associated with greater seed yield. Narrow sense heritabilities (NSH) of morphological traits were generally low to intermediate. Since NSH of the morphological traits were no greater than NSH of seed yield, replicated advanced generation yield trials still appear to be the most effective approach for identifying large-seeded indeterminate bean lines with greater seed yield potential.

Heterosis, inbreeding depression and their relationship with genetic divergence in sesame ( Sesamum indicum L.)

2010 ◽  
Vol 58 (3) ◽  
pp. 313-321 ◽  
Author(s):  
P. Banerjee ◽  
P. Kole
Keyword(s):  
Plant Height ◽  
Inbreeding Depression ◽  
Seed Yield ◽  
Seed Weight ◽  
Block Design ◽  
Basic Material ◽  
Branch Number ◽  
Randomized Block Design ◽  
Component Traits ◽  
Pure Lines

Seven parents (CST2002, MT34, OS-Sel-2, TKG22, AAUDT9304-14-4, B67 and Rama), their 21 F 1 s and 21 F 2 s were grown in summer 2003 in a randomized block design with three replications. Heterosis and inbreeding depression were studied for seven important yield-contributing characters (plant height, branch number plant −1 , capsules plant −1 , seeds capsule −1 , 1000-seed weight, stick yield plant −1 and seed yield plant −1 ). Maximum heterosis for seed yield plant −1 over the mid- and better-parent was recorded in CST2002×TKG22 (43.30%) and MT34×B67 (27.22%), respectively. Mid-parent heterosis for seed yield plant −1 was due to cumulative heterosis for various important component traits, such as capsules plant −1 , seeds capsule −1 and 1000-seed weight. Inbreeding depression was highest for seed yield, followed by 1000-seed weight, capsules plant −1 , branch number and plant height, indicating the predominance of non-additive genetic effects. B67×Rama exhibited significant positive heterosis in F 1 , but non-significant inbreeding depression in F 2 for seed yield. This cross can be utilized as basic material for identifying better pure lines. The clustering pattern indicated that in general genetically diverse parents exhibited more heterosis, as evident in the majority of the crosses.

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