Genetic variability, character association and genetic divergence in groundnut (Arachis hypogaea L.) accessions

2019 ◽  
Author(s):  
Monisha Mitra ◽  
Saikat Gantait ◽  
Rajib Kundu
Keyword(s):  
Genetic Divergence ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Additive Variance ◽  
Pod Yield ◽  
Kernel Width ◽  
Arachis Hypogaea L ◽  
High Level ◽  
Positive Direct ◽  
Pod Length

Present investigation was conducted in 31 groundnut accessions to assess genetic divergence, characters association involving 13 quantitative characters and path coefficients in order to identify superior accessions exhibiting higher genetic diversity. Number of pods/plant, secondary branches, kernel width, and pod yield displayed a higher level of coefficient of variation both at phenotypic and genotypic level. Genetic advance with higher heritability indicated preponderance of additive variance for pod length, pod yield, and number of pods/plant. Number of secondary branches, kernel width, pod length, and number of pods/plant revealed significant positive correlation with pod yield. Path coefficient analysis revealed exertion of high positive direct effects on pod yield through pod length, kernel width and number of pods/plant. Cluster analysis exhibited substantial diversity among 31 accessions forming 13 clusters. Two clusters [X (two accessions) and XII (one accession)] showed the largest distance, which suggests hybridization between these accessions to achieve high level of heterosis for further exploitation. Five accessions viz., TAG-24, TG-69, ICGV-02005, TG-73 and TG-80 were identified as the most divergent for future use.

Divergence studies of blackgram (Vigna mungo L) for selection of drought tolerant genotypes under rainfed conditions of North Western Himalayas in J and K, India

2019 ◽  
Author(s):  
Sanjeev Kumar ◽  
Anil Kumar ◽  
Sonika Jamwal ◽  
Vikas Abrol ◽  
A. P. Singh ◽  
...  
Keyword(s):  
Path Coefficient ◽  
Western Himalayas ◽  
Additive Variance ◽  
Pod Yield ◽  
Kernel Width ◽  
Drought Tolerant ◽  
High Level ◽  
Positive Direct ◽  
Pod Length ◽  
Selection Of

Present investigation was conducted in 31 groundnut accessions to assess genetic divergence, characters association involving 13 quantitative characters and path coefficients in order to identify superior accessions exhibiting higher genetic diversity. Number of pods/plant, secondary branches, kernel width, and pod yield displayed a higher level of coefficient of variation both at phenotypic and genotypic level. Genetic advance with higher heritability indicated preponderance of additive variance for pod length, pod yield, and number of pods/plant. Number of secondary branches, kernel width, pod length, and number of pods/plant revealed significant positive correlation with pod yield. Path coefficient analysis revealed exertion of high positive direct effects on pod yield through pod length, kernel width and number of pods/plant. Cluster analysis exhibited substantial diversity among 31 accessions forming 13 clusters. Two clusters [X (two accessions) and XII (one accession)] showed the largest distance, which suggests hybridization between these accessions to achieve high level of heterosis for further exploitation. Five accessions viz., TAG-24, TG-69, ICGV-02005, TG-73 and TG-80 were identified as the most divergent for future use.

scholarly journals Genetic Characterization for Quantitative and Qualitative Traits and Its Relationship in Faba Bean (Vicia Faba L.)

2019 ◽  
Author(s):  
Sanket Kumar ◽  
Santanu Layek ◽  
Anamika Upadhyay ◽  
M.K. Pandit ◽  
Rajib Nath ◽  
...  
Keyword(s):  
Plant Height ◽  
Faba Bean ◽  
Genetic Characterization ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Pod Yield ◽  
Vicia Faba L ◽  
Breeding Programmes ◽  
Positive Direct ◽  
Pod Length

An experiment comprising of twenty four diverse Faba bean genotypes were evaluated for genetic variability, correlation and path coefficient analysis for pod yield and its contributing traits. Phenotypic and genotypic coefficient of variation were highest for pod yield per plant (PCV= 55.87% and GCV= 53.90%). Pod yield per plant was significantly and positively correlated with plant height, number of primary branches, pod length, pod width, pod weight and number of pods per plant at genotypic level. Number of pods per plant showed the highest positive direct effect (0.845) on pod yield per plant. Days to fifty percent flowering, days to first pod picking, plant height, number of primary branches, pod width and number of pods per plant appeared as most important characters and could be considered during selection in Faba bean breeding programmes

scholarly journals VARIETAL PERFORMANCE AND CORRELATION OF OKRA POD YIELD AND YIELD COMPONENTS

2017 ◽  
Vol 29 (1) ◽  
pp. 11-20
Author(s):  
D. Aminu ◽  
O. B. Bello ◽  
B. A. Gambo ◽  
A. H. Azeez ◽  
J. O. Agbolade ◽  
...  
Keyword(s):  
Plant Height ◽  
Yield Components ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Fresh Weight ◽  
Yield Attributes ◽  
Mean Values ◽  
Pod Yield ◽  
Dry Seasons ◽  
Pod Length

Field irrigation experiments were conducted to assess the varietal performance and correlation of pod yield and yield attributes under irrigation at the Teaching and Research Farm, University of Maiduguri, Nigeria, during 2015 and 2016 dry seasons. The results revealed that the most outstanding for fresh pod yield per plant were okra cultivar Kwadag Y’ar gagure Salkade and, Kwadam in descending order with yield ranging from 580.38-622.67g, while the composite cultivar had the lowest value of pod yield of 428.62g over the two years. The highest mean values for number of pods per plant and number of primary branches per plant were observed for Salkade and Y’ar gagure, respectively. Highest fresh pod length and fresh pod diameter were also exhibited for Salkade and Kwadag, respectively. Genotypic coefficient of variation was higher than the phenotypic variation for all the yield contributing characters. Days to 50% flowering were positive and highly significance difference associated with plant height, number of pods per plant and fresh weight per pod. Path coefficient analysis showed that number of pods per plant exhibited positive and direct effects on pod yield across years. Indirect effect of other yield components through this character also contributed mainly towards pod yield. Therefore, plant height, days to 50% flowering, number of pods per plant, pod length, pod diameter, number of primary branches per plant and fresh weight per pod could be considered for selection and improvement for high pod yielding varieties in okra.

scholarly journals CORRELATION AND PATH COEFFICIENT ANALYSIS OF FOURTEEN DIFFERENT GENOTYPES OF LABLAB BEAN (Lablab purpureus L.)

2015 ◽  
Vol 27 (1) ◽  
pp. 37-44
Author(s):  
Asaduzzaman Zaman ◽  
M. J. H. Bhuiyan ◽  
M. A. Hossain ◽  
Sharif-Ar Raffi
Keyword(s):  
Protein Content ◽  
Seed Yield ◽  
Significant Negative Correlation ◽  
Test Weight ◽  
Path Coefficient ◽  
Lablab Purpureus ◽  
Pod Yield ◽  
Days To Maturity ◽  
Positive Direct ◽  
Pod Length

Fourteen genotypes of Lablab bean were studied for sixteen yield and yield contributing characters. The experiment was conducted at Field Laboratory of Department of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh. Seed yield per plant showed positive and significant correlation with days to maturity, number of raceme per plant, raceme length, pod length, green pod yield per plant, green test weight and shelling percentage and significant negative correlation with days to maturity, number of seeds per pod and protein content at both phenotypic and genotypic levels. Path analysis revealed that green pod length exhibited high positive direct effect on number of raceme per plant, raceme length, green pod width, dry test weight and shelling percentage. The direct negative effects on seed yield were observed by days to maturity, number of flower buds per raceme, green pod yield per plant, green test weight and protein content and revealed the importance of these traits for simultaneous selection of plant for yield improvement.

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 Genetic Diversity, Correlations and Path Coefficient Analysis among the F5 Populations of Brassica Species

2021 ◽  
pp. 20-31
Author(s):  
Sujon Kumar ◽  
Barkat Ali ◽  
A. B. M. Khaldun ◽  
Shams Shaila Islam ◽  
M. Shalim Uddin ◽  
...  
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Coefficient Of Variation ◽  
Block Design ◽  
Brassica Species ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Estimate Heritability ◽  
Positive Direct ◽  
Pod Length

The present study was carried out to estimate heritability, genetic variability, correlation and genetic advance among F5 populations of ten genotypes in Brassica species. This study was executed following randomized complete block design (RCBD) with three replications during November 2017 to February 2018 at the experimental field of College of Agricultural Sciences, International University of Business Agriculture and Technology, Dhaka, Bangladesh. Aim of the research was to evaluate and select the best segregating genotypes for the yield and yield contributing traits towards variety development programs. Analysis of variance revealed that the genotypes were significantly different for all the characters studied. The relative phenotypic coefficient of variation (PCV) was higher than the genotypic coefficient of variation (GCV) for all the traits studied. The high GCV value was observed for the days to 50% flowering (FF), plant height (PH), primary branches per plant (PBP), pod per plant (PP) and seed yield per plant (SYP) that indicated a high broad-sense heritability. A significant positive correlation with seed yield per plant was found in days to 50% flowering (0.578**), the plant height, (0.787**), pod length (PL) (0.406*), seeds per plant (SP) (0.369*), pod per plant (0.697**) and hundred seeds weight (HSW) (0.500**), but significantly negative correlation found in primary branches per plant (-0.046*). The results of path coefficient analysis revealed that days to 50% flowering (0.287), plant height (0.407), pod length  (0.919), seeds per plant (0.033), pod per plant (0.035) and hundred seeds weight (0.795) had a positive direct impact on seed yield per plant and thus it was indicated that these traits could be exploited for the enhancement of yield performance of Brassica species. This study showed that based on the agronomic performance execution, genotypes G2, G5, G6 and G8 might be proposed for future hybridization programs in Bangladesh followed by variety development activities.

Inter-characters association studies for morphological, yield and yield attributes in the germplasm of french bean (Phaseolus vulgaris L.)in Tarai region of Uttarakhand, India

2017 ◽  
Author(s):  
Dhirendra Kumar Singh ◽  
Ankit Panchbhaiya ◽  
S. K. Jain
Keyword(s):  
Association Studies ◽  
French Bean ◽  
Path Coefficient ◽  
Positive Contribution ◽  
Path Coefficient Analysis ◽  
Phaseolus Vulgaris L ◽  
Cluster Number ◽  
Yield Attributes ◽  
Pod Yield ◽  
Pod Length

The 74 french bean genotypes were evaluated for twenty two quantitative traits to study the character association and path analysis during Jan- May, 2014. Pod yield was highly significant and positive correlated with days to 50% flowering, seed yield per plant, plant height, number of pods per plant, number of pod clusters per plant, number of pods per cluster, number of seeds per pod, pod length and weight of single pod. Path coefficient analysis revealed that single pod weight and number of pods per plant had the highest positive contribution towards the pod yield.

Correlation and path coefficient analysis of yield and its component characters among different accessions of cluster bean [Cyamopsis tetragonoloba (L.) Taub.].

2017 ◽  
Author(s):  
Divya K. Lekshmanan ◽  
M. Abdul Vahab
Keyword(s):  
Plant Height ◽  
Direct Effect ◽  
Path Coefficient ◽  
Cyamopsis Tetragonoloba ◽  
Path Coefficient Analysis ◽  
Significant Positive Association ◽  
Cluster Bean ◽  
Pod Yield ◽  
Pod Length ◽  
Plant Plant

An experiment was carried out to study the correlation between yield components and their direct and indirect effects on the vegetable pod yield in cluster bean using 100 accessions. The correlation study revealed significant positive association of vegetable pod yield and characters viz., pod weight, pod length, pod girth, pods per plant, pod clusters per plant, plant height, shelf life and 100 seed weight. Pod length, pods per plant, plant height and pod clusters per plant were the characters responsible for maximum vegetable pod yield by imparting highest direct effect in path coefficient analysis. The correlation was also positive for these characters. The direct effect of the traits indicated its true relationship with pod yield. Hence, emphasis should be given for these characters, while making selection for high yielding genotypes in cluster bean.

scholarly journals ​Character Association and Path Analysis in Heterotic Recombinant Inbred Lines in Garden Pea (Pisum sativum L.)

2021 ◽  
Author(s):  
Bhupinder Singh Thakur ◽  
Alisha Thakur ◽  
Devinder Kumar Mehta ◽  
R.K. Dogra ◽  
Sandeep Kansal
Keyword(s):  
Path Analysis ◽  
Recombinant Inbred ◽  
Recombinant Inbred Lines ◽  
Correlation Coefficients ◽  
Inbred Lines ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Garden Pea ◽  
Pod Yield ◽  
Positive Direct

Background: Garden pea is one of the principal vegetable crops cultivated in the temperate and sub- tropical areas of the world for its green pods. It is an important food legume worldwide after Phaseolus vulgaris. The knowledge about the interdependence of characters in a particular crop can effectively be employed to breed desirable cultivars and to challenge the consequences of the unprecedented biological, physical and chemical stresses of the future growing conditions. The regression and path analysis further has significance for the assured selection of the varieties with desirable traits and hence adaptation of species in different agro-climatic conditions; hence it is also one of the prerequisites for crop improvement programmes. Correlation and path analysis in garden pea explained that among all the yield contributing traits, number of pods per plant and pod weight have significant contribution in increasing the green pod yield per plant. Methods: 14 heterotic recombinant inbred lines and 17 existing cultivars of garden pea, were put to experimentation for working out the association of the yield and yield contributing component characters under the open field conditions of Regional Horticultural Research and Training Station, Bajaura Kullu, Himachal Pradesh, India. This association was further elaborated through the coefficient of correlation and regression analysis and path coefficient analysis. Result: The genotypic correlation coefficients were found higher than the phenotypic correlation coefficients for all the characters studied. The correlation coefficients revealed that green pod yield per plant had highly significant and positive association with pod weight and number of pods per plant. The path coefficient analysis also revealed that the maximum positive direct effect on green pod yield per plant was exerted by the number of pods per plant, pod weight and 100-seed weight. Through regression equation analysis it became clear that number of pods per plant, pod weight contributed significantly in increasing the green pod yield per plant. With a unit increase in these independent characters, the green pod yield per plant will increase by 2.34 and 33.45 per cent. It can thus be concluded that despite of the positive correlation of almost all the characters with green pod yield per plant, only number of pods per plant and pod weight are important and significant independent characters for increasing the green pod yield per plant.

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