scholarly journals CHARACTER ASSOCIATION OF SOYBEAN (Glycine max) LINES FOR YIELD CONTRIBUTING TRAITS

2015 ◽  
Vol 26 (2) ◽  
pp. 33-38 ◽  
Author(s):  
A. K. M. S. Islam ◽  
P. K. Rai
Keyword(s):  
Plant Height ◽  
Seed Weight ◽  
Residual Effect ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Soybean Genotype ◽  
Plant Seeds ◽  
Days To Maturity ◽  
Positive Effect ◽  
100 Seed Weight

The present study was conducted with ten soybean genotype on correlation, path coefficient and genetic component of some important traits. Ten characters were studied to find out the suitable traits for the improvement of soybean yield. It was observed that yield per plot was positively correlated with pods per plant, seeds per pod, branches per plant, harvest index, days to maturity and plant height which revealed that selection based on these traits could significantly improved the grain yield of soybean. From the path coefficient analysis, it was observed that among the different yield contributing characters pods per plant, seeds per pod, plant height, 100 seed weight contributed maximum direct positive effect to yield per plot. Negative direct effect was observed for days to flowering and days to maturity, but its correlation with yield was positive. It was due to its positive indirect effect. The residual effect was found 0.175 which indicated that 82.50% of the variability was accounted for 10 yield and yield contributing traits included in the present study. Rest 17.50% variability might be controlled by other yield contributed traits that was not included in the present investigation.

scholarly journals Heritability, Correlation and Path Coefficient Analysis in Fifty Seven Okra Genotypes

2015 ◽  
Vol 3 (1) ◽  
pp. 127-133 ◽  
Author(s):  
K.U. Ahamed ◽  
B. Akter ◽  
N. Ara ◽  
M.F. Hossain ◽  
M. Moniruzzaman
Keyword(s):  
Plant Height ◽  
Seed Weight ◽  
Fruit Yield ◽  
Path Coefficient ◽  
Moderate Degree ◽  
Path Coefficient Analysis ◽  
Positive Correlation ◽  
Number Of Leaves ◽  
100 Seed Weight ◽  
Number Of Seeds

A study was undertaken to analyses the heritability, correlation and path co-efficient for growth and fruit characteristics in fifty seven okra(Abelmoschus esculentus Lam) genotypes grown at Plant Genetic Resources Centre, Regional Agricultural Research Station, BangladeshAgricultural Research Institute during kharif season of 2013. The highest range of variation was recorded in average fruit weight (18.25-25.41g), followed by yield per plant (98.90 – 1650.00g). The highest GCV (46.70 %) and PCV (47.72 %) were recorded for fruit yield perplant while both were lowest for days to maturity (8.07 % and 8.25 %). High heritability coupled with high or moderate degree of geneticadvance was estimated in plant height (99.82 % and 205.06), number of fruits per plant (99.53% and 203.63%), number of leaves per plant(99.57% and 204.49%), number of seeds per fruit (99.73% and 205.44%), leaf length (98.22% and 198.52%), leaf diameter (98.91% and203.76%), 100-seed weight (98.12% and 202.13%) and yield per plant (95.76 % and 197.26%). The highest positive correlation were observedbetween number of fruits per plant and yield per plant (r = 0.99**) and between number of fruits per plant and 100-seed weight (r = 0.44**).Also results showed that significantly positive correlation were between 100-seed weight and yield per plant (r = 0.44**), 100-seed weight andleaf length (r =0.42**), 100-seed weight and leaf diameter (0.38**), number of leaves per plant and 100-seed weight (r = 0.28*), 100-seedweight and plant height(r =0.40**), 100-seed weight and fruit length (r =0.28*). Significantly positive correlations were also observed for plantheight and number of fruits per plant, number of leaves per plant and yield per plant. The path coefficient analysis was done to determine directand indirect effects of traits on fruit yield. Direct significant positive and negative effect of number of fruits per plant (-0.091), 100-seed weight(0.174), number of seeds per plant (-0.213), average fruit yield (-0.310) towards yield.DOI: http://dx.doi.org/10.3126/ijasbt.v3i1.12142      Int J Appl Sci Biotechnol, Vol. 3(1): 127-133 

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.

scholarly journals Phenotypic Characterization of 183 Turkish Common Bean Accessions for Agronomic, Trading, and Consumer-Preferred Plant Characteristics for Breeding Purposes

Agronomy ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 272 ◽  
Author(s):  
Muhammad Azhar Nadeem ◽  
Tolga Karaköy ◽  
Mehmet Zahit Yeken ◽  
Ephrem Habyarimana ◽  
Ruştu Hatipoğlu ◽  
...  
Keyword(s):  
Common Bean ◽  
Plant Height ◽  
Seed Yield ◽  
Environmental Conditions ◽  
Seed Weight ◽  
Seed Length ◽  
Plant Weight ◽  
Wide Range ◽  
Days To Maturity ◽  
100 Seed Weight

Plant landraces represent a repository of a gene pool, local adaptation of their domestic species, and thereby are considered a great source of genetic variations. Such genetic variation can be helpful to mitigate the current and future food challenges. A total of 183 common bean accessions including three commercial varieties collected from 19 Turkish provinces were grown to record their morpho-agronomic variations and to evaluate the best performing accessions under multi-environmental conditions. Plant height, days to maturity, pods weight, seed length, and 100-seed weight were used to evaluate the best performing accessions under different environmental conditions. A wide range of variations for traits like days to maturity (99–161), plant height (21–168.7 cm), seed length (7.41–16.4 mm), seeds per plant (17.8–254.4), and 100-seeds weight (24.97–73.8 g) were observed and can be useful for breeding purposes. The analytic results derived from the first three eigenvectors suggested that plant height, plant weight, 100-seed weight, and days to flowering were biologically significant bean traits. Seed yield per plant was positively and significantly correlated with plant weight and pods weight. Genotype × environment biplot discriminated the studied common bean accessions based on their plant height and growth habit. Plant height, days to maturity, seed width, and first pod height were found highly heritable traits and were least affected by environmental forces. Among 19 provinces, accessions of Bilecik showed maximum pods per plant, seed yield per plant and 100-seed weight, while Erzincan and Sivas provinces reflected the prevalence of bushy and early maturing accessions. Information provided herein comprehensively explored the occurrence of genotypic variations which can be used for the development of candidate varieties responding to breeder, farmer, and consumer preferences.

Path Coefficient Analysis, Character Association and Variability Studies in Selected Maize (Zea mays L.) Genotypes Grown in Southern Nigeria

2019 ◽  
pp. 1-6
Author(s):  
Godwin Michael Ubi ◽  
Maria Bisong Onabe ◽  
Success Eni Kalu
Keyword(s):  
Grain Yield ◽  
Indirect Effects ◽  
Seed Weight ◽  
Block Design ◽  
Selection Index ◽  
Path Coefficient ◽  
Genotypic Correlation ◽  
Genetic Advance ◽  
Path Coefficient Analysis ◽  
100 Seed Weight

The success of any selection process is greatly enhanced by using appropriate selection indices. The knowledge of the relationship among various traits affecting grain yield is imperative to arrive at potentially effective selection index. The study was carried out to unveil the different attributes of genetic variability, the type of interrelationships among the various traits affecting yield. Fifteen local and improved maize inbred lines were crossed to three tester varieties to develop 45 test cross progenies. The parents and crosses (63 entries in all) were evaluated in two different locations with three replications at each location using the Randomized complete block design (RCBD). Data generated was recorded for the quantitative traits evaluated and subjected to statistical analysis for estimation of various variability parameters namely GCV, PCV, heritability and genetic advance alongside computing genotypic correlation coefficients and path coefficient analysis to unveil the direct and indirect effects of the various traits studied. The analysis of variability parameters evaluated revealed the presence of significant variability for all the traits studied. Grain yield, ear length, ear height, 100-seed weight and ear diameter showed high GCV estimates, with high heritability. The genetic advance was higher for plant height, ear length, grain/row and grain yield. The genotypic correlation coefficient revealed that ear diameter, 100 seed weight, ear length, kernel rows/ear and grains/row had highest significant correlation with grain yield. The path coefficient analysis revealed that highest direct effect on grain yield was exhibited by 100 seed weight followed by grains/row, kernel rows/ear, ear length and ear diameter. Most of the traits exerted their positive indirect effects through 100 – seed weight, kernel rows/ear and grains/row. The inferences of the results of the present study and their possible implications in maize breeding have been revealed.

scholarly journals Genetic Variability, Heritability, and Genotypic Correlation of Soybean Agronomic Characters

2021 ◽  
Vol 19 (2) ◽  
pp. 117
Author(s):  
Heru Kuswantoro ◽  
Moch Muchlish Adie ◽  
Pratanti Haksiwi Putri
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Seed Yield ◽  
Seed Weight ◽  
Genetic Parameters ◽  
Genotypic Correlation ◽  
Agronomic Characters ◽  
Days To Maturity ◽  
100 Seed Weight ◽  
Number Of Branches

<p>Genetic parameters are important in genetic improvement and variety development. This study aimed to determine the effective characters that can be applied as selection criterion in soybean breeding using genetic parameters. About 100 soybean genotypes were grown in the Muneng Agricultural Technology Research and Assessment Installation from April to July 2020. The trial was conducted using a randomized complete block design. The results showed that high genetic variability was found on days to maturity, number of branches per plant, number of productive nodes per plant, 100-seed weight, and seed yield. The high heritability was shown by days to maturity, plant height, number of branches per plant, and 100-seed weight. All phenotypic correlations were significant, except for the correlation between seed yield and days to maturity, plant height, number of branches, and number of productive nodes. The seed yield had no genotypic correlation with all agronomic characters observed. The genotypic correlation was only significant for plant height and number of productive nodes, number of branches and number of filled pods, as well as number of productive nodes and 100-seed weight. Therefore, the improvement of seed yield can be conducted through direct selection using the seed yield parameter or indirectly using the 100-seed weight.<br /><br /></p>

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 Graphical analysis (Wr- Vr) and study of genetic ratio in Lentil (Lens culinaris Medikus.)

2018 ◽  
Vol 33 (00) ◽  
Author(s):  
Mamta Singh ◽  
S.K. Verma
Keyword(s):  
Plant Height ◽  
Maximum Concentration ◽  
Seed Weight ◽  
Lens Culinaris ◽  
Graphical Analysis ◽  
Breeding Programme ◽  
Additive Component ◽  
Days To Maturity ◽  
Half Diallel ◽  
100 Seed Weight

Graphical analysis was performed in 8 lentil genotypes crossed in a half diallel manner. The analysis revealed over-dominance for the traits under study. PL 6 had maximum concentration of dominant alleles for seeds/pod, pods/plant, plant height, and days to maturity. For 100 seed weight, days to 50% flowering and primary branches/plant parent PL 7 had maximum concentration of dominant alleles. For pods/cluster and days to maturity parent 6 had maximum concentration of dominant alleles. Use of such superior cultivars with greater proportions of dominant alleles can be focused focus for development of hybrids in lentil breeding programme. Thus hybridizing parent PL 6, PL 7 and L 4188 with other lines are suggested to yield superior crosses. Hayman’s genetic ratios also confirmed the major contribution of non-additive component in governing traits.

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 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.

Genetic variability, correlation and path coefficient analysis for quantitative traits in chickpea genotypes

2017 ◽  
Vol 51 (05) ◽  
Author(s):  
A. Nishant Bhanu ◽  
M. N. Singh ◽  
Rajendra Tharu ◽  
S. K. Saroj
Keyword(s):  
Seed Yield ◽  
Quantitative Traits ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Rabi Season ◽  
Days To Maturity ◽  
Correlation And Path Analysis ◽  
Selection Parameters ◽  
100 Seed Weight ◽  
Number Of Branches

Fifty three germplasm of chickpea were undertaken to determine relationships among yield and some yield components using direct (variability, heritability, and genetic advance) and indirect selection parameters (correlation and path coefficient analysis). The present investigation was carried out at the Agriculture Research Farm of Institute of Agricultural Sciences, Banaras Hindu University, Varanasi during the rabi season of 2011-12. Significant genetic variations were observed among the genotypes for days to flower, days to maturity, plant height, number of branches plant-1, number of pods plant-1, 100-seed weight and seed yield plant-1. Correlation studies revealed that seed yield was positively and significantly correlated with number of primary branches, number of secondary branches and number of pods plant-1. The path coefficient analysis based on seed yield, as a dependent variable, showed that pods plant-1 had the greatest direct effect on seed yield (0.81) followed by number of secondary branches. Both correlation and path analysis indicated that pods plant-1 and number of secondary branches were the major direct contributors to seed yield.

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