scholarly journals Correlation and Path Analysis Studies in Turmeric (Curcuma longa)

2021 ◽  
Vol 10 (10) ◽  
pp. 314-318
Author(s):  
K. Dhanalakshmi K. Chitra ◽  
R. Arulmozhiyan V. Ambethgar
Keyword(s):  
Chinese Medicine ◽  
Curcuma Longa ◽  
Flowering Plant ◽  
High Yield ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Medicinal Properties ◽  
Digestive Disorders ◽  
Correlation And Path Analysis ◽  
Final Effect

Turmeric (Curcuma longa), a flowering plant in the ginger family, is widely used as a food coloring in curry powder. Turmeric has long been used in both Ayurvedic and Chinese medicine an anti-inflammatory, to treat digestive disorders and liver problems. The active ingredient in turmeric is curcumin, which have been the various medicinal properties. To extract the curcumin, best variety should be selected. The ultimate aim of any programme is to obtain the high yield with quality and studies like correlation and path coefficient analysis to understand the association different characters and their final effect on the yield. The present study was attempted in this direction to analyze the association of different character on yield in Turmeric.

scholarly journals Evaluation of Underutilized Kodo Millet (Paspalum scrobiculatum L.) Accessions using Morphological and Quality Traits

2020 ◽  
Author(s):  
V. Nirubana ◽  
R. Ravikesavan ◽  
K. Ganesamurthy
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Association Studies ◽  
Antioxidant Properties ◽  
Flowering Plant ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Wide Range ◽  
Kodo Millet ◽  
Inflorescence Length

Background: Kodo millet is an important drought tolerant crop and has high nutritional values, dietary fiber and antioxidant properties. It has considerable production potential in marginal and low fertility soils under diverse environmental conditions. Considering the importance of the crop, it is necessary to improve the nutritional quality along with grain yield of the crop. With this background, the investigation was aimed to study the correlation and path coefficient analysis which helps to identify the promising traits for yield and quality improvement. Methods: One hundred and three kodo millet germplasm lines were evaluated for 13 morpho-agronomic and two grain nutritional traits. The crop was raised in randomized block design to select the promising genotypes and to study the association among the traits and the magnitude of direct and indirect effects for fifteen quantitative traits. Result: Based on the overall mean performance the significant genotypes were identified and found wide range of variability for different traits. Character association studies indicated that days to first flowering, days to 50 per cent flowering, plant height, number of productive tillers, peduncle length, inflorescence length, length of the longest raceme and thumb length were significantly positive association with grain yield per plant. Path coefficient analysis revealed that inflorescence length, plant height, length of the longest raceme, flag leaf blade length and number of productive tillers exhibited high direct positive effect on grain yield. Therefore, giving importance of these traits during selections may be useful for developing nutritionally superior high yielding kodo millet genotypes.

The relationship between seed yield and associated characters in meadow fescue (Festuca pratensis)

1966 ◽  
Vol 67 (2) ◽  
pp. 243-248 ◽  
Author(s):  
Joseph Lewis
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Dry Matter ◽  
Flowering Plant ◽  
Path Coefficient ◽  
Festuca Pratensis ◽  
Path Coefficient Analysis ◽  
Meadow Fescue ◽  
Matter Production ◽  
The Relationship

A study was made of phenotypic correlations between seed yield and some other traits of determinable value in two bred varieties of meadow fescue. Seed yield and such characters as time of flowering, plant height and dry-matter production of spaced plants in October and at the time of anthesis were found to be closely associated.The method of path coefficient analysis was used to study the interrelationships of seed yield and its components in the causal system: fertile tiller and floret numbers, percentage fertility and thousandseed weight. This analysis corroborates the result of simple correlations in showing the importance of fertile tiller numbers and fertility as major determinants of seed yield.

scholarly journals Study of Correlation and Path Analysis Between Grain Yield and Yield Related Traits in Wheat

2018 ◽  
Vol 7 (1) ◽  
pp. 57-67
Author(s):  
Maysoun M. S. ◽  
Salih H. F. Al-salim ◽  
Reem Al-edelbi ◽  
Naoman S. M.
Keyword(s):  
Grain Yield ◽  
Direct Effect ◽  
Block Design ◽  
Grain Weight ◽  
Path Coefficient ◽  
Thousand Grain Weight ◽  
Path Coefficient Analysis ◽  
Grain Number Per Spike ◽  
Correlation And Path Analysis ◽  
Corporate Effect

Agricultural experiment carried out during the 2014-2015agricultural season winter wheat planting classAba99in tow sites Al-Shattra and Al-Dwayah in Al-NaseriahExplanatory farmers' fields covered by the national program for the development of the cultivation of wheat in Iraq and four treatments were applied on wheat(Laser plus weed controlling, Laser plus weed controlling plus sulfur, Laser plus weed controlling plus sulfur plus other elements, Control for comparing), in Randomized Complete Block Design RCBD with three replications, Correlations and path coefficient analysis between (number of brunches, Spike Length, number of spikes/m2, grains number per spike, thousand grain weight and plant grain yield), Results showed that grain yield  had a positive significant correlation with each of number of spikes/m2 and grains number per spike (0.711**, 0.465**) respectively.Results of path coefficient analysis showed that the direct effect of number of spikes/m2  on grain yield was high and positive(0.5350), while the indirect effectsfor each of number of brunches and number of grains  per spike and thousand grain weight on grain yield wasmedium and positive (0.2571, 0.2557, 0.2434) respectively, and also the indirect effect for grain number per spike on grain yield through number of spikes/m2 was positive and medium(0.2479). Results also showed that number of spikes/m2 had  the highest contribution in yield as a direct effect 28.621%, followed by the corporate effect of number of spikes/m2  and number of grains in spike12.674%

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.

Components of yield in field beans, Vicia faba L.

1969 ◽  
Vol 72 (3) ◽  
pp. 359-363 ◽  
Author(s):  
A. E. Kambal
Keyword(s):  
Seed Weight ◽  
Correlation Coefficients ◽  
Local Strain ◽  
High Yield ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Primary Yield ◽  
Selection For ◽  
Field Beans ◽  
Pod Number

SUMMARYThe components of yield were studied in a local strain of field beans (Baladi) and two Egyptian varieties (Rebaya 40 and Giza 1). Although no significant differences between varieties were detected in yield per plant, there were differences in components of yield. The Egyptian varieties produced heavier seeds but less pods and seeds than the local strain. The higherpod number in Baladi resulted from a capacity to produce more pods per stem rather than from anability to produce more stems per plant.Correlations between yield and other plant characters and between components of yield were computed. The path-coefficient analysis was employed to partition the correlation coefficients and to compare the relative importance of the primary yield components in predicting yield. Pods per plant showed the highest correlation with yield and selection for high yield can be based on it. Seed weight was negatively associated with pod number and seeds per pod but the r values were too low to be of predictive value. Multiple correlations indicated that 95–98% of the variability in yield was accounted for by the components pod number, seeds per pod and seed weight.

Assessment of genetic variability, correlation and path coefficient analysis for morphological and quality traits in rice (Oryza sativa L.)

2017 ◽  
Author(s):  
Karthika Gunasekaran ◽  
Rajeswari Sivakami ◽  
Robin Sabariappan ◽  
Govintharaj Ponnaiah ◽  
Vishnu Varthini Nachimuthu ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Oryza Sativa L ◽  
Dominant Gene ◽  
High Yield ◽  
Path Coefficient ◽  
Quality Traits ◽  
Path Coefficient Analysis ◽  
High Heritability ◽  
Rice Genotypes

Nine rice genotypes were evaluated for this present study. Genetic variability parameters, correlation and path coefficient analysis were estimated for eleven agronomic and quality traits. Among all the genotypes, ASD 16 recorded highest significant grain yield per plant. In this present study, the PCV was higher than GCV for all the characters studied. The grain yield per plant recorded highest GCV, high heritability coupled with high genetic advance which indicates that the trait were governed by epistasis and dominant gene action. Number of productive tillers per plant and thousand grain weight showed positive significant correlation and direct effects on grain yield per plant. The purpose of this study is to estimate the amount of variability present in this material, which in turn helps to select these material for further breeding programme to develop high yield hybrids combine with blast and leaf folder resistance.

Character associations between seed yield and its components traits in cowpea [Vigna unguiculata (L.) Walp.]

2015 ◽  
Vol 49 (6) ◽  
Author(s):  
H. K. Meena ◽  
K. Ram Krishna ◽  
Bhuri Singh
Keyword(s):  
Seed Yield ◽  
Seed Weight ◽  
Flowering Plant ◽  
Direct Selection ◽  
Path Coefficient ◽  
Days To Maturity ◽  
Correlation And Path Analysis ◽  
Positive Direct ◽  
Pod Length ◽  
100 Seed Weight

A field experiment was conducted during <italic>kharif</italic> season 2013 to estimate the correlations and path coefficients for ten quantitative characters among 72 cowpea germplasm. Seed yield per plant had positive significant correlation with days to 50% flowering, plant height, primary branches per plant, pods per plant, pod length, seeds per pod and 100-seed weight at both genotypic and phenotypic levels. Path coefficient analysis revealed that primary branches per plant and 100-seed weight had high direct positive effect on seed yield per plant at both genotypic and phenotypic levels. Pod length, days to maturity, 100 seed weight and pod wall proportion had high positive direct effects on seed yield per plant at only genotypic level. Correlation and path analysis indicated that for increasing seed yield in cowpea direct selection should be carried out for higher values of primary branches per plant, pods length, days to maturity and 100 seed weight.

scholarly journals Some Genetic Parameters and Path Coefficient of Three-Way Crosses in Maize

2021 ◽  
Vol 910 (1) ◽  
pp. 012099
Author(s):  
Banan Hassan Hadi ◽  
Wajeeha Abed Hassan ◽  
Majid S.H. Hamdalla
Keyword(s):  
Grain Yield ◽  
Path Analysis ◽  
Leaf Area ◽  
Correlation Coefficients ◽  
Direct Selection ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Correlation And Path Analysis ◽  
Positive Direct ◽  
Positive Significant Correlation

Abstract Correlation and path coefficient analysis were worked out for ten morphological traits in 30 three-way crosses of maize. Phenotypic and genotypic correlation analysis indicated that ear length; row numbers per ear, grain numbers per row, leaf area and leaves numbers had a positive significant correlation with grain yield per plant. Further partitioning of correlation coefficients into direct and indirect effects showed that traits days to silking, row numbers per row and leaves numbers had a positive direct effect on grain yield per plant. The traits ear length, grain numbers per row and leaf area had a maximum total effect on grain yield. Furthermore, PCA analysis has gave interested results and it supported the results of correlation and path analysis. The correlation and path analysis obviously indicated that direct selection based on these attributes may be useful in raising grain yield in maize.

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>

scholarly journals Varietal performance and correlation of okra pod yield and yield components

2016 ◽  
Vol 8 (1) ◽  
pp. 112-125 ◽  
Author(s):  
Dattijo Aminu ◽  
Omolaran Bashir Bello ◽  
Babagana Abba Gambo ◽  
Alafe Hakeem Azeez ◽  
Oludare James Agbolade ◽  
...  
Keyword(s):  
Plant Height ◽  
Yield Components ◽  
Flowering Plant ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Fresh Weight ◽  
Yield Attributes ◽  
Pod Yield ◽  
Dry Seasons ◽  
Pod Length

AbstractField 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 the 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 to 622.67 g, while the Composite cultivar had the lowest value of pod yield of 428.62 g over the two years. The greatest average values for the number of pods per plant and the 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. The genotypic coefficient of variation was higher than the phenotypic variation for the entire yield-contributing characters. Days to 50% flowering were positive and highly significant differences associated with plant height, number of pods per plant, and fresh weight per pod could be observed. Path coefficient analysis showed that the number of pods per plant exhibited positive and direct influence on the pod yield across the studied years. Indirect influence of other yield components through this character also contributed mainly towards pod yield. Therefore, days to 50% flowering, plant height, pod length, number of pods per plant, pod diameter, number of primary branches per plant, and fresh weight per pod could be taken into consideration for the selection and development of high pod-yielding varieties in okra.

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