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. 

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.

scholarly journals Varietal Evaluation and Clustering of Early Maize Genotypes in Mid-Western Hilly Region of Nepal

2020 ◽  
Vol 77 (2) ◽  
pp. 24
Author(s):  
Bishnu Prasad KANDEL
Keyword(s):  
Genetic Diversity ◽  
Block Design ◽  
Yield Component ◽  
Research Station ◽  
Maize Genotypes ◽  
Hilly Region ◽  
Randomized Complete Block Design ◽  
Component Traits ◽  
Yield Component Traits ◽  
Selection Of

Eleven early maize (Zea mays) genotypes were evaluated for their yield and yield component traits at the research block of Regional Agriculture Research Station (RARS) Lumle, Kaski, Nepal during Kharif season of 2016. The experiment was laid out in randomized complete block design (RCBD) with three replications. Results showed that all the studied genotypes differed significantly for grain yield as well as other yield component traits except number of kernel per row. Out of tested genotypes COMPOZ-NIPB, EEYC1, POP-445/POP-446 were three top performer genotypes yielding 6.89, 5.38 and 5.19 t ha-1. Early mid Katamari, Rajahar local, Manakamana-5, EEYC1 were statistically at par with Arun-4(standard check) and will be needed further evaluation and improvement by a selection of desirable traits. Eleven genotypes occupied three different clusters and showed that early maize genotypes suggest considerable genetic diversity among themselves. Genotypes belong to cluster one having the highest yield potentials so need to be further evaluation in different location of mid hill and recommended best variety for that domain.

scholarly journals Evaluation of eight isabgol (Plantago ovata Forsk.) germplasm performance grown under different climatic conditions in Bangladesh

2020 ◽  
Vol 5 (4) ◽  
pp. 447-451
Author(s):  
Md. Riazul Islam ◽  
Md. Nazmul Hasan Mehedi ◽  
Md. Moniruzzaman ◽  
Abu Jafor Mohammad Obaidullah ◽  
Abu Hena Faisal Fahim ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Plant Height ◽  
Seed Yield ◽  
Block Design ◽  
Climatic Conditions ◽  
Research Field ◽  
Research Centre ◽  
Plantago Ovata ◽  
Prime Concern ◽  
Number Of Leaves

The extent of genetic diversity in the crop plants is of prime concern to plant breeders and germplasm curators. Therefore, a study was employed to determine the genetic diversity and to evaluate the performance of eight genotypes of isabgol (Plantago ovata Forsk.) through analysis of morpho-physiological and yield attributing characteristics. All the germplasm was collected from different areas of Bangladesh. The experiments were conducted at the research field of Regional Spices Research Centre, Magura during the rabi season, 2019-20 to characterize phenotypically and to evaluate the performance of different isabgol germplasm. The experiments were laid out in randomized complete block design with three replications. The highest plant height (42.33 cm), number of tillers per plant (7.33), number of leaves per plant (74), length of leaf (30.00 cm), number of spikes per plant (29.0), length of spike (4.03 cm), 1000 seeds weight (2.0 g)  and seed yield (823 kg ha-1) of isabgol was found from the germplasm PO-001 and the lowest  plant height (39.67 cm), number of tillers per plant (6.33), number of leaves per plant (69.33), length of leaf (26.33 cm), number of spikes per plant (23.0), length of spike (3.67 cm), 1000 seeds weight (1.87 g) and seed yield (705 kg ha-1) of isabgol was found from the germplasm PO-007. On the basis of this field trail in terms of seed yield and other important agronomic characteristics the genotypes PO-001 can be chosen for future breeding material to release a commercial variety in Bangladesh climatic conditions.

scholarly journals Combining ability analysis in linseed (Linum usitatissimum L.) for improvement of seed yield and its component traits

2016 ◽  
Vol 8 (1) ◽  
pp. 1-4
Author(s):  
Vivek Kumar Singh ◽  
Vijay Sharma ◽  
Mohit Chaudhary ◽  
Sunil Kumar Paswan ◽  
Azad Ahmad ◽  
...  
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Combining Ability ◽  
Block Design ◽  
Hybrid Vigour ◽  
Linum Usitatissimum L ◽  
Randomized Block Design ◽  
Diallel Mating Design ◽  
Component Traits ◽  
High Yielding Varieties

Twenty eight hybrids developed from eight genotypes of linseed through diallel mating design (excluding reciprocal) along with one checks viz., Shekhar were evaluated in randomized block design with three replications for eleven distinct morphological traits during rabi season of 2012-13, to estimate the general combining ability (GCA) of the parents and specific combining ability (SCA) of hybrids considered for the development of high yielding varieties. The analysis of variance for combining ability revealed significant mean sum of squares due to GCA and SCA for all the traits under study. Genotype EC-1392 (0.50) and TL-11 (0.45) has been found good general combiner with highest magnitude of GCA effects for seed yield per plant. In addition to above, EC-1392 and TL-11 also showed good GCA effects for plant height, secondary branches per plant, capsules per plant and biological yield per plant. Hybrids A.95.B x Shekhar (2.43), TL-11 x EC-1392 (1.71) and NDL-2004-05 x GS-234 (1.53) showed higher positive significant SCA effects for seed yield per plant. These hybrids also exhibited positive significant SCA effects for plant height, secondary brances per plant, capsules per plant, indicating potential for exploiting hybrid vigour in breeding programme.

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.

Genetic Relationships and Principal Component Analysis in Elite Chickpea (Cicer arietinum L.) Genotypes for Seed Yield and Its Component Traits

2020 ◽  
Author(s):  
D. K. Janghel ◽  
Krishan Kumar ◽  
S. S. Verma ◽  
A. K. Chhabra
Keyword(s):  
Genetic Diversity ◽  
Cicer Arietinum ◽  
Seed Yield ◽  
Genetic Relationships ◽  
Component Analysis ◽  
Yield Improvement ◽  
Cicer Arietinum L ◽  
Effective Selection ◽  
Component Traits ◽  
Selection Of

Background: Chickpea (Cicer arietinum L.) is the important Rabi season food legume crop ranked third after common bean and field pea. The degree and extent of trait variability, genetic relationship and genetic diversity in promising chickpea genotypes should be known for possible yield improvement. Realizing the importance of genetic relationships and genetic diversity in key economic traits, the present investigation envisaged to measure the genetic relationships in the yield component traits to make effective selection for yield improvement in chickpea breeding programme. Methods: The experimental material comprised of 60 chickpea genotypes (both Desi and Kabuli types), grown in RBD with three replications at Pulses Section of Department of Genetics and Plant Breeding, CCSHAU, Hisar during Rabi 2014-15. The data on 11 quantitative traits was analysed for ANOVA, correlation coefficient, path coefficient, regression and principle component analysis. Result: The present study has led the understanding of many inter-related traits involved in the genetic variation of chickpea seed yield. This would certainly provide guidelines for selection of parents as well as effective selection of promising chickpea genotypes, and also have paramount importance in formulating plant model for selection of segregating generations in chickpea breeding programmes for development of high yielding varieties.

scholarly journals Principal Component Analysis in Desi Chickpea (Cicer arietinum L.) under Normal Sown Condition of Bihar

2020 ◽  
pp. 75-80
Author(s):  
Kumari Rajani ◽  
Anand Kumar ◽  
Ravi Ranjan Kumar ◽  
Sadia Perween ◽  
Sanjay Kumar ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Total Variation ◽  
Seed Yield ◽  
Seed Weight ◽  
Principal Component ◽  
Cicer Arietinum L ◽  
The World ◽  
Days To Maturity ◽  
100 Seed Weight ◽  
Selection Of

Chickpea (Cicer arietinum L.) is the second most important food legume crop after common bean (Phaseolus vulgaris L.). It is one of the most important rabi pulse crop in India and contributes to 20% of the total pulse production in the world. India ranks first in chickpea production in the world followed by Australia, Myanmar and Pakistan. It is one of the major pulse crops in Bihar. The present investigation was undertaken using forty genotypes of desi chickpea sown in a randomized block design with three replications at the Pulse research model Bhitti farm of Bihar Agricultural University, Sabour (Bhagalpur) during Rabi, 2016-17 to determine the contribution of six morphological traits to the total variability in desi chickpea using Principal component analysis. In the present investigation PCA was performed for six quantitative traits of chickpea. Out of six, only 2PCs exhibited more than 1.0 Eigen value and showed about 79.86% variability. Therefore, these 2 PCs were given due important for the further explanation. The PC1 showed 28.96% variability among traits, while PC II, PC III and PC IV exhibited 21.93%, 16.35% and 13.87% variability respectively.PC1 contributed 28.96% of the total variation and correlated with days to 50% flowering, days to maturity and 100-seed weight while PC2 explained an additional 21.93% of the total variation and dominated by plant height, grain yield per plot, days to maturity, days to 50% flowering and number of pods per plant. Since, a total of 50.91% of the total variation was contributed by PC1 and PC2, therefore, these two principal components can be allowed for simultaneous selection of yield contributing traits in desi chickpea. Genotype commonly found in more PC, were KWR108, JG2016-44, Sabour chana-1, IPC 2013-21, HI12-63, AKG1303, PG214J and RKG13-380. Similar type of genotypes on a common principal component permitting to designate them as seed yield factors. These genotypes may further be utilized in breeding programmes for improving seed yield and these genotypes can be considered an ideotype breeding material for selection of traits viz. more total number of seed per plant and 100-seed weight further utilization in precise breeding programme.

Diversity Analysis for Seed Yield and its Component Traits among Faba Bean (Vicia faba L.) Germplasm Lines

2021 ◽  
Author(s):  
Narendra Kumar Dewangan ◽  
G.S. Dahiya ◽  
D.K. Janghel ◽  
Seema Dohare
Keyword(s):  
Genetic Diversity ◽  
Vicia Faba ◽  
Seed Yield ◽  
Faba Bean ◽  
Stepwise Multiple Regression ◽  
Economic Traits ◽  
Vicia Faba L ◽  
Component Traits ◽  
High Yielding Varieties ◽  
Selection Of

Background: Faba bean (Vicia faba L.) is one of the oldest cool season food legume crops, stands next to soybean (Glycine max L.) and pea (Pisum sativum L.). A throughout knowledge of existing genetic variation among seed yield and its component traits is essential for developing high yielding varieties in faba bean. Realizing the importance of genetic diversity in key economic traits, the present investigation planned to assess the genetic diversity in faba bean germplasm for yield improvement in faba bean breeding programme. Methods: The experimental material comprised of 80 faba bean germplasm lines, grown in RBD with three replications at Research Farm of Department of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar during Rabi 2015-16. The data on 10 quantitative traits was analysed for Mahalanobis D2 statistic, stepwise multiple regression and principle component analysis (PCA).Result: The present study has assessed the existed genetic variations traits among faba bean germplasm lines for seed yield and its component traits. This would certainly provide guidelines in the selection of parents as well as effective selection of promising faba bean genotypes in faba bean breeding programmes for developing high yielding varieties.

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.

scholarly journals Analyses of variability, euclidean clustering and principal components for genetic diversity of eight Tossa Jute (Corchorus olitorius L.) genotypes

2020 ◽  
Vol 7 (4) ◽  
Author(s):  
Md. Mia Mukul ◽  
Nargis Akter ◽  
Md. Golam Mostofa ◽  
Md. Sohanur Rahman ◽  
Md. Al-Emran Hossain ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Genetic Variability ◽  
Plant Height ◽  
Principal Components ◽  
Morphological Traits ◽  
Block Design ◽  
Crop Improvement ◽  
Principal Component ◽  
Higher Plant ◽  
Fibre Yield

An investigation was done to assess the genetic variability, character associations, and genetic diversity of eight jute genotypes for seven morphological traits in a randomised complete block design at Bangladesh Jute Research Institute during 15 March, 2018 to 31 December, 2019. Analyses results revealed significant differences (P<0.01) among all genotypes for studied traits indicating the presence of variability. All the lines performed better than one control (JRO-524), and the line (O-0412-9-4) provided good results for desired traits than all controls. Jute fibre yield showed the highest broad sense heritability (98.54%). The studied jute morphological traits i.e. Plant population, the plant height, green weight, dry fibre yield and dry stick yield gave high heritability along with high genotypic and phenotypic variances, genetic advances in percent of the mean, highly significant and positive correlations. It indicates the possibility of crop improvement through phenotypic selection and maximum genetic gain, simultaneously at the genotypic-phenotypic level. Clustering analysis grouped all genotypes into three distinct clusters. The cluster II showed the highest mean values for all traits followed by cluster I and III. The first two principal components with higher Eigen values (>1.0) accounted for 90.88% of the total variation in the principal component analysis. PCA and cluster analyses indicated that the advanced breeding line O-0412-9-4 made its individual cluster II with higher inter-cluster distance and higher fibre yield (3.12 t ha-1). The investigation was done to select the genotype(s) with good fibre yield and distinct features in respect of developing high yielding Tossa jute variety for cultivation in the farmers’ field. This genotype O-0412-9-4 was selected based on higher plant height, base diameter, fibre yield content. It will be developed as a high yielding variety considering its’ higher genetic variability, heritability, genetic advance, significant associations for desirable characters.

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