Genetic estimates and path coefficient analysis in chickpea (Cicer arietinum L.) under normal and late sown environments

2016 ◽  
Author(s):  
Indu Bala Dehal ◽  
Rama Kalia ◽  
Bhupender Kumar
Keyword(s):  
Cicer Arietinum ◽  
Direct Effect ◽  
Seed Yield ◽  
Seed Weight ◽  
Harvest Index ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Cicer Arietinum L ◽  
Biological Yield ◽  
100 Seed Weight

The research was carried out to determine selection criteria using correlation and path coefficient analysis in 25 chickpea (Cicer arietinum L.) genotypes under two different environments during rabi 2008-09 at Palampur location. The genotypes showed highly significant differences for all the characters studied in both environments. Environment I (normal sowing) exhibited its excellent potential for the traits viz., seed yield per plant, biological yield per plant, pods per plant, primary branches per plant, days to 50% flowering, days to maturity and plant height, whereas environment II (late sowing) exhibited it for harvest index, per cent crude protein and 100-seed weight. High heritability coupled with high genetic advance was observed for seed yield per plant, pods per plant and 100-seed weight in environment I. Seed yield per plant was positively and significantly correlated with pods per plant (E1=0.767 and E2=0.647), harvest index (E1=0.767 and E2=0.745), biological yield per plant (E1=0.612 and E2=0.537) and primary branches per plant (E1=0.422 and E2=0.515) in both the environments. Path coefficient analysis revealed the high direct effect of biological yield and harvest index towards seed yield per plant, whereas primary branches per plant and pods per plant showed negligible direct effect, but their indirect contribution for it through biological yield and harvest index was high. The present study suggests that selection for high seed yield should be based on selecting high biological yield, pod per plant, high test weight and primary branches per plants in chickpea.

scholarly journals Character Association and Path Coefficient Analysis in Indian Mustard (Brassica juncea L.)

2022 ◽  
Author(s):  
V.V. Singh ◽  
Laxman Prashad ◽  
Balbeer . ◽  
H.K. Sharma ◽  
M.L. Meena ◽  
...  
Keyword(s):  
Direct Effect ◽  
Seed Yield ◽  
Harvest Index ◽  
Oil Content ◽  
Indian Mustard ◽  
Test Weight ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Zone Length ◽  
Biological Yield

Background: Correlation analysis informs us about the relative importance of the breeding traits and quite useful for plant breeders to formulate their breeding and selection strategies. Path coefficient analysis splits the correlation coefficient into the measures of indirect and direct effect. It identifies the indirect and direct influence of different autonomous genotype on a dependent trait. Present study aimed to determine major seed contributing components affecting seed yield and also to know the relationship among these components. Methods: Present investigation was carried out on 147 advanced breeding lines to know the correlations and path coefficient for 12 yield and yield contributing traits. The material was evaluated in augmented block design with 07 blocks, each block having 21 lines. A set of three check varieties were repeated in each block. Observations were recorded on number of primary branches/plant, number of secondary branches/plant, plant height (cm), silique/plant, fruiting zone length (cm), main shoot length (cm), number of seeds/siliquae, siliquae length (cm), biological yield/plant (g), seed yield/plant (g), harvest index and test weight. Result: The seed yield per plant showed positive and significant correlation with primary branches per plant (0.273), secondary branches per plant (0.280), siliquae per plant (0.627), biological yield per plant (0.744), harvest index (0.188), test weight (0.212) and oil content (0.225). Biological yield per plant (0.5747) had maximum direct effect on seed yield per plant followed by siliquae per plant (0.2438), harvest index (0.127), oil content (0.118) and test weight. These characters have positive and significant association with seed yield per plant. The study thus indicated that biological yield per plant, siliquae per plant, harvest index and test weight are the important characters which should be considered in selection programme in Indian mustard.

scholarly journals Determination of Genetic Association of Yield and Quality Traits in Cicer arietinum L. (chickpea)

2021 ◽  
pp. 75-83
Author(s):  
Binita Xalxo ◽  
Gabrial M. Lal ◽  
Sneha Debnath ◽  
Avneesh M. Tripathi
Keyword(s):  
Seed Yield ◽  
Seed Weight ◽  
Harvest Index ◽  
Block Design ◽  
Path Coefficient ◽  
Index Number ◽  
Genetic Advance ◽  
Biological Yield ◽  
100 Seed Weight ◽  
Number Of Seeds

The present investigation was carried out at the field Experimentation Centre, Department of genetics and Plant Breeding, Naini Agricultural Institute, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, U.P. The experiment on 22 genotypes was laid out in Randomised Block Design with three replications. Observations were recorded on five randomly selected plants to each treatment and replication for 13 quantitative characters viz., days to 50 per cent flowering, days to 50 per cent pod setting, days to maturity, plant height, number of primary branches per plant, number of secondary branches per plant, number of pods per plant, number of seeds per pod, number of seeds per plant, 100-seed weight, harvest index, biological yield, seed yield per plant and one qualitative character protein content to estimate the variability, heritability. genetic advance, correlation and path coefficient analysis among yield. Maximum GCV and PCV were recorded for number of pods per plant and 100-seed weight. High genetic advance as percentage of mean recorded for number of pods per plant. High heritability was recorded for 100-seed weight. High genetic advance was recorded for 100-seed weight. Seed yield per plant had showed high positive significant correlation with biological yield per plant, harvest index, number of pods per plant and number of seeds per plant at phenotypic and genotypic levels.

scholarly journals Correlation and path coefficient analysis among seed yield and yield related traits of Ethiopian chickpea (Cicer arietinum L.) landraces

2018 ◽  
Vol 111 (3) ◽  
pp. 661
Author(s):  
Awol Mohhammed ADEM ◽  
Asnake FIKRE
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Cicer Arietinum ◽  
Seed Yield ◽  
Harvest Index ◽  
Seed Mass ◽  
Flowering Plant ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Cicer Arietinum L

<p>The experiment was done on 202 new chickpea (Cicer arietinum L.) landraces with 2 checks to assess the association, direct and indirect effect of different characters on yield. The experiment was planted at Sirinka and Jari, Ethiopia, under rain fed condition in 2016 using alpha lattice design with three replications. Data were collected on yield and yield related traits. Analysis of variance showed highly significant differences among genotypes. The correlation of grain yield with biomass and with harvest index was positive and highly significant both at genotypic and phenotypic levels. In addition, its association with pod filling period, plant height, secondary branches and hundred seed mass was positive but insignificant both at genotypic and phenotypic levels. Path coefficient analysis at genotypic level showed that among the 15 causal (independent) traits; biomass, harvest index, pod length, days to pod setting, pod filing period, canopy width, primary branches, secondary branches, and number of pods per plant had positive and directly influence on grain yield. Although the days to flowering, plant height and hundred seed mass had positive genotypic correlation with grain yield. In general correlation coupled with path coefficient analysis revealed that biomass and harvest index had a direct relationship with seed yield.<em></em></p>

Assessment of Genetic Variability and Relationship between Different Quantitative Traits in Field Pea (Pisum sativum var. arvense) Germplasm

2021 ◽  
Author(s):  
Vijay Pratap ◽  
Vijay Sharma ◽  
Kamaluddin . ◽  
Gaurav Shukla
Keyword(s):  
Genetic Variability ◽  
Correlation Coefficient ◽  
Seed Yield ◽  
Harvest Index ◽  
Quantitative Traits ◽  
Field Pea ◽  
Path Coefficient ◽  
Genetic Advance ◽  
Path Coefficient Analysis ◽  
Biological Yield

Background: Assessment of genetic variability and inter-relationship between the characters can be used in the breeding programme to evolve new varieties with wide genetic diversity to maximize the yield potential in crop improvement programmes. Eighty-four field pea genotypes were evaluated in an augmented block design for thirteen quantitative traits to study variance components, heritability, genetic advance and inter-relationship between the yield and yield contributing traits. Methods: The extent of phenotypic and genotypic variation that exist in a character was calculated by the formula suggested by Burton and de Vane (1953). Heritability in broad sense and genetic advance as per cent of mean for each character was computed using the formula suggested by Hanson et al. (1956) and Johnson et al. (1955), respectively. Correlation coefficient was calculated by method suggested by Searle (1961) and path coefficient analysis done as per method of Wright (1921) and elaborated by Dewey and Lu (1959).Result: Significant differences observed among the genotypes tested for the yield characters indicated the presence of variability. High heritability coupled with high genetic advance as percent of mean was observed for the traits viz., plant height, effective pods plant-1, harvest index and seed yield plant-1 were governed by additive gene effects which will aid in effective selection. Correlation coefficient analysis revealed that seed yield plant-1 had highly significant and positive correlation with biological yield plant-1, effective pods plant-1, harvest index, seeds pods-1 and effective nodes plant-1, indicating that these traits are strongly associated with seed yield in field pea. Path coefficient analysis identified biological yield plant-1 followed by harvest index, seed pod-1, effective nodes plant-1, 100-seed weight and day to 50% flowering as highly desirable components with great direct effects on 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.

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 Exploitable genetic variability and determination of selection criteria using path coefficient analysis in chickpea

2015 ◽  
Vol 44 (1) ◽  
pp. 139-142
Author(s):  
Indu Bala ◽  
Rama Kalia ◽  
Bhupender Kumar
Keyword(s):  
Genetic Variability ◽  
Seed Yield ◽  
Harvest Index ◽  
Wide Spectrum ◽  
Pooled Analysis ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Mean Values ◽  
Biological Yield

This study estimates the nature and extent of genetic variability as well as direct and indirect effects of yield related traits on seed yield in 25 chickpea genotypes. The pooled analysis of variance over the environments indicated significant genotypes effect compared to genotype (g) × environment (e) interactions for all the characters. The mean values of the characters studied showed a wide spectrum of genetic variation. The genotypes ICCV 96904 and Himachal Chana-1 were found to be promising for seed yield and biological yield per plant in pooled over the environments. The phenotypic correlation coefficient revealed significant positive associations of pods per plant, harvest index, biological yield per plant and primary branches per plant with seed yield per plant. The path coefficient analysis revealed that biological yield per plant and harvest index exhibited positive and high direct effects on seed yield per plant. Therefore, these characters could be considered as the best selection parameters for the improvement of seed yield per plant. DOI: http://dx.doi.org/10.3329/bjb.v44i1.22737 Bangladesh J. Bot. 44(1): 139-142, 2015 (March)

Studies on genetic variability, character association and path analysis for yield and its contributing traits in chickpea [Cicer arietinum (L.)]

2017 ◽  
Author(s):  
D. K. Chopdar ◽  
Baudh Bharti ◽  
P. P. Sharma ◽  
R. B. Dubey ◽  
Brajendra Brajendra ◽  
...  
Keyword(s):  
Seed Yield ◽  
Seed Weight ◽  
Gene Action ◽  
Plant Biomass ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Additive Gene Action ◽  
Additive Gene ◽  
100 Seed Weight ◽  
Number Of Seeds

Genetic parameters, variability, heritability and genetic advance were studied among 20 genotypes of chickpea during during Rabi 2012-13. The characters, seed yield per plant and 100-seed weight had high values of GCV, heritability and GAM and were found to be under greater control of additive gene action. While the traits, primary branches per plant, number of seeds per pod and protein content with moderate to low heritability coupled with low genetic advance appear to be more affected by on non-additive gene action. Correlation and path coefficient analysis for seed yield per plant and its components indicated that out of 11 characters, seed yield per plant showed significant and positive correlation with harvest index, number of seeds per pod, primary branches per plant, number of pods per plant, biomass per plant, and 100-seed weight indicating that an intense selection for these characters will improve seed yield in chickpea. Path coefficient analysis revealed that days to maturity, primary branches per plant, biomass per plant, harvest index, protein content and number of seeds per pod were major characters influencing seed yield directly and indirectly. The results indicated that number of seeds per pod should be given greater emphasis for manipulation of seed yield in chickpea.

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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