Genetic variability, correlation and path coefficient analysis under drought in groundnut (Arachis hypogaea L.)

2016 ◽  
Vol 39 (2) ◽  
Author(s):  
V. Thirumala Rao
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Growth Parameters ◽  
Kernel Weight ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Pod Yield ◽  
Additive Gene ◽  
Hundred Kernel Weight ◽  
Kernel Yield

Groundnut yield in rain fed areas has been limited by drought stress because pod yield and other growth parameters have been severely affected. The aim of this study is to evaluate the genetic variability, character association and path analysis between yield and its contributing traits in 30 groundnut genotypes under drought. Analysis of variance revealed the existence of significant differences among genotypes for all characters studied. The magnitude of PCV and GCV was moderate to high for number of pods per plant, dry haulm yield, kernel yield, plant height and dry pod yield. High heritability coupled with high genetic advance as per cent of mean was observed for kernel yield, plant height, dry pod yield, and hundred kernel weight indicating the role of additive gene in expressing these traits. Dry pod yield was significant positively correlated with kernel yield, no of pods per plant, hundred kernel weight and SPAD chlorophyll meter reading (SCMR). Path coefficient analysis indicated that number of pods per plant and hundred kernel weight were essential traits to be considered for realizing the improvement in yield.

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.

Character association and path coefficient analysis for yield, yield attributes and water use efficieny traits in grounndut (Arachis hypogaea L.) -A review

2015 ◽  
Vol 36 (4) ◽  
Author(s):  
K. John ◽  
P. Raghava Reddy ◽  
P. Hariprasad Reddy ◽  
P. Sudhakar ◽  
N. P. Eswar Reddy
Keyword(s):  
Complex Traits ◽  
Correlation Coefficients ◽  
Kernel Weight ◽  
Yield Potential ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Yield Attributes ◽  
Pod Yield ◽  
Primary Yield ◽  
Final Expression

Correlation analysis provides useful information for basis of selection for trait like pod and seed y ield. Seed yield is the most economic as well as very complex character in nature because it is governed by polygene and greatly influenced by environmental factors. The estimate of genotypic correlation coefficients in general higher than their corresponding phenotypic correlations indicating strong inherent association among the traits. Pod yield in groundnut is a complex and depends upon the interplay of number of components attributes. Primary yield components of groundnut <italic>viz.</italic>, pod size, sound mature kernels, shelling percentage, 100 kernel weight, kernel yield and number of mature pods per plant showed positive correlation with each other and with pod yield. A clear picture of contribution of each component is the final expression of character would emerge through the study of correlation and causation of path concept revealing different ways in which component attributes influence the complex traits. Path coefficient analysis helps in formulating the selection criteria based on these direct and indirect effects. In order to achieve the goal of increased production by increasing the yield potential of crop, knowledge of direction and magnitude of association between various traits is essential for plant breeders.

Variability, character association and path coefficient analysis of green pod yield and its related traits in pea (Pisum sativum L.)

2017 ◽  
Author(s):  
Keshav K. Gautam ◽  
M. M. Syamal ◽  
A. K. Singh ◽  
Nakul Gupta
Keyword(s):  
Plant Height ◽  
Association Studies ◽  
Path Coefficient ◽  
Pod Yield ◽  
Wide Range ◽  
Character Association ◽  
Additive Gene ◽  
High Heritability ◽  
Positive Direct ◽  
Number Of Branches

Genetic variability, character association and path coefficient studies were carried out for yield and yield contributing characters for twenty-four diverse genotype of pea. The results revealed a wide range of phenotypic variation, along with high heritability in pea. Highest pod yield per plant was recorded in VRP-229 followed by VRP-372 and VRP-305. The characters namely, plant height and weight of seeds per pod showed high magnitude, while number of pods per plant, number of branches per plant and pod yield per plant showed moderate magnitude for phenotypic and genotypic coefficient of variation. The heritability and genetic advance were high for days to first pod initiation, plant height and pod yield per plant indicating its additive gene action for their expression. Character association studies revealed that pod yield per plant exhibit positive and highly significant correlation with number of pods per plant, number of branches per plant and days to fifty percent flowering. The path coefficient studies also revealed that maximum positive direct effect was observed through number of pods per plant followed by days to first flowering, single pod weight and pod length towards yield indicated that these characters may be considered as the most reliable selection indices while making selection for high yielding genotypes.

scholarly journals Genetic Variability, Correlation and Path Coefficient Analysis in Advanced Generation of Brassica napus L.

2019 ◽  
pp. 1-12
Author(s):  
Md. Nur-E-Nabi ◽  
Md. Ehsanul Haq ◽  
Montasir Ahmed ◽  
Md. Monir Hossain ◽  
Md. Shefat-al-Maruf ◽  
...  
Keyword(s):  
Brassica Napus ◽  
Genetic Variability ◽  
Plant Height ◽  
Seed Yield ◽  
Coefficient Of Variation ◽  
Yield Potential ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Brassica Napus L ◽  
Positive Direct

The present study was conducted involving 62 F3 genotypes of Brassica napus L. at the experimental farm of Sher-e-Bangla Agricultural University, Dhaka, Bangladesh to ponder the genetic variability, phenotypic, genotypic and environmental coefficient of variation, heritability and genetic advance, correlation, path coefficient and genetic diversity analysis in a randomized complete block design (RCBD) with sixty-two genotypes (treatments) with three replications during November 2014 to February 2015. The investigations aimed to select the best segregating genotypes for the yield improvement of Brussica napus (rapeseed). Analysis of variance indicated that the genotypes were found significantly different for all the characters considered. The relative phenotypic coefficient of variation (PCV) was higher than the genotypic coefficient of variation (GCV) for all the traits investigated. The high GCV value was observed for the number of siliqua per plant (NSP), plant height (PH), silique length (SL), number of seed per silique (NSS) and seed yield per plant (SYP) indicated high broad sense heritability. The significant positive correlation with seed yield per plant (SYP) was found in plant height (PH) (0.368**), the number of primary branches per plant (NPB) (0.332**), number of secondary branches per plant (NSB) (0.382**), number of silique per plant (NSP) (0.549**), and siliqua length (SL) (0.037**). The results of path coefficient analysis uncovered that plant height (PH) (0.582), days to 50% flowering (50F) (0.390), days to maturity (DM) (0.575), number of primary branches per plant (NPB) (0.678), number of secondary branches per plant (NSB) (0.182),and thousand seed weight (TSW) (0.289) had a positive direct impact on seed yield per plant (SYP) and thus it was concluded that these traits could be exploited for the enhancement of yield potential of rapeseed. This study showed that based on the agronomic performance execution, genotypes G8, G14, G19, G21, G47, and G55 might be proposed for future hybridization program in Bangladesh and this could help rapeseed breeders to upgrade their breeding activities.

Genetic Variability, Character Association and Path Analysis for Pod Yield and its Component Characters in Groundnut [Arachis hypogaea (L.)]

2021 ◽  
Author(s):  
Giradhari Lal Yadav ◽  
S.S. Rajput ◽  
D.K. Gothwal ◽  
M.L. Jakhar
Keyword(s):  
Genetic Variability ◽  
Block Design ◽  
Crop Improvement ◽  
Kernel Weight ◽  
Direct Selection ◽  
Oilseed Crop ◽  
Pod Yield ◽  
Biological Yield ◽  
Positive Direct ◽  
Kernel Yield

Background: Groundnut is an important oilseed crop in the India. The groundnut kernels serve as a rich source of edible oil (48-50%) and quality protein (25-28%). In crop improvement programme, availability of sufficient genetic variability is of immense importance. The knowledge of nature and magnitude of genetic variance controlling yield and yield components is a prerequisite for improvement of yield in any crop. Methods: The present investigation was undertaken to assess the genetic variability and character associations for pod yield and component characters in 45 genotypes of groundnut. The genotypes were raised in randomized complete block design with three replications during kharif 2019 at SKNAU, Jobner (Rajasthan). Result: The analysis of variance revealed significant differences among the genotypes for all the characters studied indicating presence of wide genetic variation for different characters. In the present investigation, high genetic advance coupled with high heritability and GCV was observed for biological yield per plant, 100-kernel weight, kernel yield per plant, dry pod yield per plant and pods per plant which indicated prevalence of additive gene action in their expression and these traits possessed high selective value. Kernel yield per plant, pods per plant and biological yield per plant exhibited significantly positive correlation with dry pod yield per plant both at genotypic and phenotypic levels, while shelling percentage at genotypic level only. Three characters viz., kernel yield per plant, pods per plant and biological yield per plant could be considered as direct selection parameters for yield improvement in groundnut because they exerted positive direct effect on dry pod yield per plant.

Studies on variability, heritability and genetic advance as per cent of mean in Spanish bunch groundnut genotypes (Arachis hypogaea L.)

2016 ◽  
Author(s):  
V. Satyanarayana Rao ◽  
G. G.Bhargavi ◽  
D. Ratna Babu
Keyword(s):  
Kernel Weight ◽  
Point Of View ◽  
Oil Yield ◽  
Research Station ◽  
Genetic Advance ◽  
Pod Yield ◽  
Agricultural College ◽  
Biological Yield ◽  
Additive Gene ◽  
Kernel Yield

Twenty Spanish bunch groundnut genotypes were collected from Agriculture Research Station, Kadiri, Andhra Pradesh, along with the check TMV 2 were used to study their variability, heritability and genetic advance as per cent of mean for nineteen characters viz., days to 50% flowering, SPAD chlorophyll meter reading (SCMR) at 40, 50, 60, 70 DAS and at maturity, days to maturity, number of mature pods per plant, biological yield per plant (g), pod yield per plant (g), biological yield per hectare (q), pod yield per hectare (q), harvest index, 100 kernel weight (g), shelling percentage, kernel yield per plant (g), kernel yield per hectare (q), oil content (%) and oil yield per hectare (q) during summer 2013 at Agricultural College farm, Bapatla. The results revealed that the highest PCV and GCV were observed for number of mature pods per plant. High heritability accompanied with high genetic advance as per cent of mean was recorded for number of mature pods per plant, biological yield per plant (g), pod yield per plant (g), biological yield per hectare (q), pod yield per hectare (q), kernel yield per plant (g), kernel yield per hectare (q), 100 kernel weight (g) and oil yield per hectare (q) indicating the preponderance of additive gene action which might be exploited through simple selection procedures. The study revealed that the genotypes Abhaya and JCG 88 were better for further breeding from yield point of view.

scholarly journals Genetic Variability, Character Association and Path Coefficient Analysis in Radish (Raphanus sativus L.)

1970 ◽  
Vol 8 (2) ◽  
pp. 22-27
Author(s):  
MZ Ullah ◽  
MJ Hasan ◽  
AHMA Rahman ◽  
AI Saki
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Root Length ◽  
Root Diameter ◽  
Leaf Width ◽  
Path Coefficient ◽  
Genetic Advance ◽  
Root Yield ◽  
Path Coefficient Analysis ◽  
Positive Correlation

Genetic variability, correlation and path coefficient analysis of yield and yield contributing traits in twenty one varieties of radish were studied. Root length, leaf length and root yield showed high genotypic coefficient of variation and heritability with high genetic advance in percentage of mean. The highest genetic advance was observed in root yield. Root yield had significant and positive correlation with days to harvest, root length and root diameter, and showed only positive correlation with plant height and leaf width. Path coefficient analysis revealed that plant height had the maximum positive direct effect on root yield followed by root diameter, leaf width and days to harvest. Keywords: Genetic variability; radish; heritability; correlation; path analysis; root yield. DOI: 10.3329/agric.v8i2.7573 The Agriculturists 8(2): 22-27 (2010)  

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

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.

Correlation and path analysis studies in groundnut under different environment

2016 ◽  
Author(s):  
P. Venkataravana ◽  
M Sandhya Kiranmai ◽  
H. D. Pushpa
Keyword(s):  
Plant Height ◽  
Leaf Spot ◽  
Positive Association ◽  
Kernel Weight ◽  
Oil Yield ◽  
Plant Oil ◽  
Late Leaf Spot ◽  
Pod Yield ◽  
Correlation And Path Analysis ◽  
Kernel Yield

In groundnut strong positive association was noticed between pod yield per plant and kernel yield per plant, oil yield per plant and significant and negative association with late leaf spot severity and rust incidence irrespective of the environments. Pod yield was also correlated with 100- kernel weight, plant height and oil content in environment III. The magnitude and direct association of pod yield with other characters varied from environment to environment. Inter correlation estimates for yield components revealed that plant height, 100-kernel weight, kernel yield per plant, oil yield per plant, late leaf spot severity, number of matured pods per plant, harvest index and plant height were significantly associated with one another and also with pod yield per plant which indicated that these characters were important components for improvement of pod yield in groundnut. This indicated that selection of genotypes based on oil yield per plant and kernel yield per plant is advantageous than the other characters.

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