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 Studies on Genetic Diversity in Desi Chickpea (Cicer arietinum L.) using D2 Statistics

2021 ◽  
pp. 100-104
Author(s):  
Jakkam Mahipal Reddy ◽  
Gabrial M. Lal ◽  
Velugoti Priyanka Reddy ◽  
Subhadra Pattanayak ◽  
V. Rohith Guptha ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Cicer Arietinum ◽  
Seed Yield ◽  
Quantitative Traits ◽  
Direct Selection ◽  
Plant Seed ◽  
Cicer Arietinum L ◽  
Wide Range ◽  
Component Traits ◽  
Superior Genotypes

A trail was conducted during rabi 2020 to study genetic diversity among 36 favorable genotypes of chickpea (Cicer arietinum L.) with help of Mahalanobis D2 statistics. On the basis of D2 values, 36 genotypes were arranged into 5 clusters. The intra cluster distances were lower than inter-cluster distances, specifying that genotypes comprised within a cluster shows tendency to vary less apart from each other. Out of thirteen characteristics considered, secondary branches per plant, number of pods per plant, seed yield per plant, harvest index and plant height, contributed very much in relation to genetic divergence. Wide range of variability was noticed for quantitative traits. This suggested that the selection based on these characteristics would be valuable in improving the grain yield. Therefore, a direct selection based on seed yield and component traits may be practiced to choose superior genotypes which could be utilized in breeding program for the development of high yielding chickpea genotypes.

scholarly journals Genetic diversity for yield and its component traits in chickpea (Cicer arietinum L.)

2017 ◽  
Vol 8 (1) ◽  
pp. 89 ◽  
Author(s):  
A.G. Vijayakumar ◽  
Ishwar Boodi ◽  
P.M. Gaur ◽  
H.D. Upadhyaya
Keyword(s):  
Genetic Diversity ◽  
Cicer Arietinum ◽  
Cicer Arietinum L ◽  
Component Traits

scholarly journals Assessment of Genetic Diversity using D2 Statistics in Chickpea (Cicer arietinum L.) under Late Sown Conditions

2021 ◽  
pp. 48-53
Author(s):  
Velugoti Priyanka Reddy ◽  
Gaibriyal. M. Lal ◽  
Subhadra Pattanayak ◽  
Jakkam Mahipal Reddy
Keyword(s):  
Genetic Diversity ◽  
Genetic Variability ◽  
Plant Breeding ◽  
Cicer Arietinum ◽  
Analysis Of Variance ◽  
Genetic Divergence ◽  
Indian Institute ◽  
Cicer Arietinum L ◽  
Cluster Distance ◽  
Selection Of

An experiment was conducted during Rabi, 2019-20 at Department of Genetics and Plant Breeding, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj (Allahabad) consisting of 36 chickpea genotypes obtained from ICAR-Indian Institute of Pulses Research, Kanpur, U.P in RBD with three replications. The data was recorded on 13 traits to study the genetic divergence. Analysis of variance revealed that there was considerable genetic variability in the available germplasm for all the characters studied. Divergence analysis revealed that highest inter cluster distance (1505.25) was found between clusters I and V indicates that there is ample scope for selection of better parents.

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. 

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.

scholarly journals Component traits influencing seed yield in recombinant inbred lines of lentil (Lens culinaris Medik.)

2017 ◽  
Vol 9 (2) ◽  
pp. 992-997
Author(s):  
Alok Kumar ◽  
R. K. Gill ◽  
Sarvjeet Singh
Keyword(s):  
Seed Yield ◽  
Recombinant Inbred ◽  
Harvest Index ◽  
Recombinant Inbred Lines ◽  
Inbred Lines ◽  
Yield Improvement ◽  
Component Traits ◽  
Biological Yield ◽  
Positive Direct ◽  
Selection Of

One hundred and thirty five RILs (Recombinant Inbred Lines) developed from a cross between an indigenous and exotic line of lentil (Lens culinarisMedik.)were evaluated for seed yield and component traits during rabi 2012-13 and 2013-14. Pooled analysis of variance revealed significant differences among the RILsfor all the traits studied. This suggested that there was ample scope for selection of promising RILs for yield improvement in lentil. Phenotypic and genotypic coefficients of variation were high for pods per plant(32.49% and 26.75%) followed by biological yield per plot(24.38% and 21.28%). Genetic advance was highest for 100-seed weight(47.75%)followed by pods per plant(45.39%). Estimation of phenotypic correlation coefficients indicated that seed yield per plot expressed highly significant and positive correlation with biological yield per plot(0.634), harvest index(0.300) and seeds per pod(0.156). Path coefficient analysis revealed that the traits; biological yield per plot , harvest index, number of pods per plant, days to 50% flowering, days to maturity , plant height and primary branches per plant had positive direct effect on seed yield per plot. The selection of these traits would be helpful for further yield improvement in lentil.

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.

An early transient water deficit reduces flower number and pod production but increases seed size in chickpea (Cicer arietinum L.)

2011 ◽  
Vol 62 (6) ◽  
pp. 481 ◽  
Author(s):  
X.-W. Fang ◽  
N. C. Turner ◽  
F.-M. Li ◽  
K. H. M. Siddique
Keyword(s):  
Water Content ◽  
Water Deficit ◽  
Cicer Arietinum ◽  
Seed Size ◽  
Seed Yield ◽  
Flower Number ◽  
Cicer Arietinum L ◽  
Flower Production ◽  
Terminal Drought ◽  
Seed Growth

Terminal drought is known to decrease flower production, increase flower and pod abortion, and decrease yield of chickpea (Cicer arietinum L.), but the effects of early-season drought have not been evaluated. The influence of an early transient water deficit on flower and pod production and abortion, and seed yield and its components was evaluated in two chickpea cultivars, Rupali, a desi type, and Almaz, a kabuli type. Thirty-six-day-old plants were subjected to: (i) a transient water deficit by withholding water for 35 days, and then rewatered (WS), and (ii) kept well watered (WW) throughout. In the WS treatment the soil water content, leaf relative water content and leaf photosynthetic rate decreased after water was withheld and, following rewatering, recovered to the WW level. Despite the WS treatment being imposed at different phenological stages in the two cultivars, WS reduced flower number per plant by ~50% in Rupali and Almaz, respectively, compared with the WW plants. In WW plants, ~15% of flowers aborted in both cultivars, and 42 and 67% of the pods aborted in Rupali and Almaz, respectively, whereas in WS plants, 18 and 23% of flowers aborted and 27 and 67% of pods aborted in Rupali and Almaz, respectively. While seed growth in WS plants of Rupali and Almaz occurred primarily after the plants were rewatered, the duration of seed growth decreased by 17 and 36 days, the maximum rate of seed filling increased by 3 times and 5 times, and seed size increased by 26 and 16%, respectively, compared with the WW plants. Seed yield per plant in WS plants decreased by 31% in Rupali and 38% in Almaz compared with the WW controls. The early transient water deficit decreased flower production, but improved flower and pod development; increased the rate of seed growth and increased final seed size; and had a smaller effect on seed yield compared with chickpea subjected to terminal drought.

scholarly journals Development of KASP Markers for Germplasm Characterization and Fingerprinting Identification of Broccoli in China

2020 ◽  
Author(s):  
Yusen Shen ◽  
Jiansheng Wang ◽  
Huifang Yu ◽  
Xiaoguang Sheng ◽  
Zhenqing Zhao ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Marker Assisted Selection ◽  
Genetic Relationships ◽  
Cost Effective ◽  
Germplasm Characterization ◽  
2D Barcode ◽  
New Type ◽  
Generation Sequencing ◽  
Kasp Markers ◽  
Selection Of

Abstract Background: Broccoli (Brassica oleracea var. italica) is a vegetable widely cultivated in China. Many new-type broccoli cultivars were bred and developed by Chinese breeders during the recent three decades. However, the broccoli cultivar nomenclature and detailed information of genetic relationships among broccoli germplasms are unclear. Results: The present study identified millions of SNPs by next-generation sequencing of 23 representative broccoli lines. Through several steps of selection, 100 SNPs were successfully converted into KASP markers, and used to evaluate the genetic diversity, genetic relationship, and population structure of 392 broccoli accessions, which represent the mainly broccoli breeding materials in China. The initial, introduced and improved accessions were well clustered, though some accessions were overlapped between groups, probably reflecting the fact that breeding activities led to genetic similarities. To make the KASP genotyping more efficient and cost-effective, 25 of the 100 KASPs were selected for fingerprinting of all accessions, and the 2D barcode contained fingerprinting information were generated for elite varieties. Conclusion: The KASP markers developed in this study provided an efficient way for germplasm characterization, DNA fingerprinting, seed purity identification, and marker-assisted selection of broccoli in China.

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