scholarly journals Genetic correlation and path coefficient analysis in groundnut (Arachis hypogaea L.)

2014 ◽  
Vol 12 (1) ◽  
pp. 96-105
Author(s):  
MK Alam
Keyword(s):  
Harvest Index ◽  
Canopy Temperature ◽  
Positive Association ◽  
Kernel Weight ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Rapid Improvement ◽  
Significant Positive Association ◽  
Pod Yield ◽  
Arachis Hypogaea L

Correlation and path co-efficient analysis were carried out for pod yield and its yield components characters in 45 genotypes of groundnut. The genotypic correlation co-efficient were found to be of relatively higher magnitude than the corresponding phenotypic correlation co-efficient, indicating strong inherent association between the characters. Pod yield showed significant positive association with secondary branches/plant, harvest index, 100-pod weight, 100-kernel weight, pod size, diseases incidence and canopy temperature. Path co-efficient analysis revealed high direct effects of primary branches/plant, secondary branches/plant and harvest index. Hence, it would be rewarding to give due importance on the selection of these characters for rapid improvement in pod yield of groundnut. DOI: http://dx.doi.org/10.3329/sja.v12i1.21116 SAARC J. Agri., 12(1): 96-105 (2014)

scholarly journals Correlation and Path Coefficient Analysis of Tomato Germplasms

2015 ◽  
Vol 3 (2) ◽  
pp. 223-226
Author(s):  
Md. Salehur Rahman ◽  
Shahanaz Parveen ◽  
Md.Harun -Ur- Rashid ◽  
Runa Akter ◽  
Abu Yousuf Hossin ◽  
...  
Keyword(s):  
Correlation Coefficient ◽  
Phenotypic Expression ◽  
Positive Association ◽  
Suppressive Effect ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Genotypic Correlation ◽  
Path Coefficient Analysis ◽  
Significant Positive Association ◽  
Positive Direct

Forty eight genotypes of tomato were evaluated for yield contributing characters to observe their associations and direct and indirect effect on yield. Character association analysis among yield and yield contributing characters revealed that in most of cases the genotypic correlation coefficient was higher than the respective phenotypic correlation coefficients. This indicated that the suppressive effect of the environment modified the phenotypic expression of these characters by reducing phenotypic correlation values. Also, narrow difference between phenotypic and genotypic correlation coefficient was noticed for almost all the pairs of characters studied showing that masking or modifying effects of the environment was little indicating the presence of an inherent association among these characters. Fruit/cluster showed non-significant positive association with yield/plant at genotypic and phenotypic level but individual weight of fruit had significant negative association at phenotypic level with yield/plant. Path coefficient analysis revealed that no. of fruit/cluster had the highest positive direct effects on fruit yield/plant suggesting their importance while imposing selection for correlation of yield in tomato.Int J Appl Sci Biotechnol, Vol 3(2): 223-226 DOI: http://dx.doi.org/10.3126/ijasbt.v3i2.12421 

scholarly journals Variability of Different Yield Contributing Parameters and Yield of Some Okra (Abelmoschus esculentus) Accessions

1970 ◽  
Vol 4 (1) ◽  
pp. 119-127
Author(s):  
AKM Ashraful Alam ◽  
Md Mokbul Hossain
Keyword(s):  
Dry Matter ◽  
Positive Association ◽  
Matter Content ◽  
Path Coefficient ◽  
Dry Matter Content ◽  
Path Coefficient Analysis ◽  
Significant Positive Association ◽  
Wide Range ◽  
Range Of Variation ◽  
Genotypic Coefficient Of Variation

In order to assess the variability of yield contributing characters of 50 okra accessions and their interrelation effects on the yield of green pod a field experiment was undertaken at the Horticulture Farm of Bangladesh Agricultural University, Mymensingh during the period from February, 2002 to May, 2002. A wide range of variation was observed in case of weight of green pod per plant (105- 281g), days to first flowering (40-52days) and weight of individual green pod (14-26g). Moderate variation for length of green pod (12-19cm), number of green pods per plant (6-11) and yield of green pod (4-13 t/ha), lesser variation for percent of dry matter content (5-8%), number of ridges per green pod (5-9) and diameter of green pod (1-2cm) was observed. The highest genotypic coefficient of variation was observed in case of yield of green pod (GCV= 23.22%) followed by weight of green pod per plant (22.24%), weight of individual green pod (18.68%), number of ridges per green pod (13.49%), number of green pod per plant (10.84%), dry matter content of green pod (10.48%), diameter of green pod (6.90%) and length of green pod (6.24%). These characters suggested the existence of justifiable genetic distance among different cultivars. Correlation coefficient indicated that yield of green pod had highly significant positive association with weight of green pod per plant and weight of individual green pod. Path coefficient analysis showed that the weight of green pod per plant and weight of individual green pod were directly contributed towards the yield of green pod. Key words: Okra, accession, variability, yield.

scholarly journals Genetic correlations and path-coefficient analysis of yield and quality components in wheat, Triticum aestivum L.

Genetika ◽  
2004 ◽  
Vol 36 (1) ◽  
pp. 13-21 ◽  
Author(s):  
Veselinka Zecevic ◽  
Desimir Knezevic ◽  
Danica Micanovic
Keyword(s):  
Genetic Correlation ◽  
Harvest Index ◽  
Genetic Correlations ◽  
Grain Weight ◽  
Spike Length ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Thousand Grain Weight ◽  
Path Coefficient Analysis ◽  
Bread Making

The genetic and phenotypic correlations between yield components (productive tillering, plant height, spike length, number of spikelets per spike, number of grains per spike, grain weight per spike, grain weight per plant, harvest index, thousand grain weight) and quality components (grain protein content and sedimentation value) were investigated. The plant material was comprised of 50 genotypes of winter wheat grown during two years. Path- coefficient analysis of genetic correlation coefficients for grain mass/plant and other traits determined interrelationships among grain mass per plant and other yield and bread making quality components. The strongest positive genetic correlation was found between grain weight per spike and thousand grain weight and between spike length and number of spikelets per spike. Phenotypic correlation analysis indicated that grain weight per spike correlated positively and significantly with harvest index and thousand kernel weight. The strongest direct effect on grain weight per plant had harvest index and number of spikelets per spike. The spike length through number of spikelets per spike had the strongest indirect effect on grain weight per plant.

scholarly journals Genetic Variability and Characters Associations in Rapeseed (Brassica napus L.)

2016 ◽  
Vol 29 (2) ◽  
pp. 11-16 ◽  
Author(s):  
S. D. Joya ◽  
A. K. M. Shamsuddin ◽  
U. K. Nath
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Seed Weight ◽  
Harvest Index ◽  
Phenotypic Variability ◽  
Positive Association ◽  
Genetic Advance ◽  
Brassica Napus L ◽  
Significant Positive Association ◽  
Effect On Yield

Thirty eight rapeseed genotypes were evaluated to estimate the genetic variability and association among the genotypes, following 8 quantitative characters. A considerable amount of genetic variability were found ranges from 1000 seed weight (11.09g) to harvest index (44.00%) and phenotypic variability for plant height (13.36m) to harvest index (44.14%). High heritability was found for all characters except 1000 seed weight (67.04g). Minimum genetic advance was observed for 1000 seed weight (0.63g) and maximum for plant height (29.72m). The lowest genetic advance in percent of mean was found in 1000 seed weight (18.70g) and highest in harvest index (90.35%). Plant height, raceme length and 1000 seed weight have significant positive association with yield with harvest index. Plant height, raceme length, 1000 seed weight and harvest index have imposed direct positive effect on yield per plant (g). As Plant height, raceme length, 1000 seed weight and harvest index are mainly driven by the additive genes so that selection criteria based on this characters should be effective.Bangladesh J. Pl. Breed. Genet., 29(2): 11-16, 2016

Oat β-glucans: An evaluation of eastern Canadian cultivars and unregistered lines

1993 ◽  
Vol 73 (2) ◽  
pp. 429-436 ◽  
Author(s):  
S. S. Miller ◽  
R. G. Fulcher ◽  
D. J. Vincent ◽  
J. Weisz
Keyword(s):  
Content Analysis ◽  
Environmental Factors ◽  
Avena Sativa ◽  
Rank Order ◽  
Positive Association ◽  
Kernel Weight ◽  
Negative Association ◽  
Significant Positive Association ◽  
Factors Influencing ◽  
Oat Cultivars

The (1-3), (1-4)-β-D-glucan (β-glucan) content of a number of domestic Canadian oat cultivars and selected unregistered lines was determined to establish the range of β-glucan content in eastern Canadian oat varieties. Seed samples were taken from oats grown at five locations over 3 years in an attempt to assess the effect of environment on variation in β-glucan content. Analysis of variance indicated that the greater source of variation in β-glucan content was due to genetic rather than environmental factors. The highest β-glucan cultivar (Marion) was about 30% higher than the lowest cultivars (OA516-2 and Donald). Differences in β-glucan content among the intermediate cultivars were generally smaller, and in some cases not significant, although the rank order of the cultivars among environments was consistent. A low, but significant, negative association between β-glucan content and precipitation, and a low, but significant, positive association between β-glucan content and temperature was found, but these were not dominant factors influencing β-glucan levels in oats. There was no consistent association between β-glucan content and protein, oil, thousand kernel weight or grain yield (kg/hectare). Key words: Oat, Avena sativa, β-glucan, variation

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.

Correlation and path analysis of morpho-physiological and yield traits in boro rice (Oryza sativa L.)

2015 ◽  
Vol 35 (4) ◽  
Author(s):  
Shantanu Das ◽  
Debojit Sarma
Keyword(s):  
Grain Yield ◽  
Harvest Index ◽  
Direct Selection ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Yield Traits ◽  
Biological Yield ◽  
Rice Genotypes ◽  
Correlation And Path Analysis ◽  
Positive Direct

Thirty rice genotypes of local and exotic origin were analyzed to ascertain the genotypic and phenotypic correlation among 21 morpho-physiological and yield traits and their direct/ indirect contribution to grain yield under <italic>boro</italic> season. The result revealed that grain yield per plant had significant positive correlation with biological yield (0.927**, 0.766**), harvest index (0.748**, 0.658**), days to first flowering (0.459*, 0.377*), panicle length (0.501**, 0.445*), grains per panicle (0.576**, 0.484**) and 1000 grain weight (0.573**, 0.460*) at both genotypic and phenotypic levels. Path coefficient analyses at both genotypic and phenotypic levels revealed high positive direct effect of biological yield (0.7181) and harvest index (0.6382) on grain yield per plant. Thus direct selection for grain yield per plant and indirect selection through these characters would be effective to improve yield in <italic>boro</italic> rice.

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.

scholarly journals Correlation and path coefficient analysis among yield and yield attributing traits of wheat (Triticum aestivum L.) genotypes

2020 ◽  
Vol 5 (2) ◽  
pp. 196-199
Author(s):  
Koshraj Upadhyay
Keyword(s):  
Triticum Aestivum ◽  
Grain Yield ◽  
Direct Effect ◽  
Harvest Index ◽  
Triticum Aestivum L ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Genotypic Correlation ◽  
Lattice Design ◽  
Positive Direct

To assess correlation and to find out the direct and indirect effect of yield attributing traits on grain yield, thirty wheat (Triticum aestivum L.) genotypes were experimented at Kamalamai-04, Phant, of Sindhuli district, Nepal. The experiment was laid out in alpha-lattice design with three replications. Thirteen quantitative traits including grain yield of wheat were studied during this study. The grain yield of wheat has significant (P≤0.01) and positive genotypic and phenotypic correlation with number of spikes per meter (0.6**, 0.47**), grains per spike (0.69**, 0.65**), weight of grains per spike (0.69**, 0.61**), thousand kernel weight (0.87**, 0.74**), maturity days (0.5*, 0.47**), above ground mass yield (0.96**, 0.83**) and  harvest index (0.93**, 0.64**) of wheat. The genotypic correlation is higher in magnitude than the phenotypic correlation for almost all the studied traits. Path analysis of genotypic correlation showed a high positive direct effect of plant height (0.75), above ground biomass (0.6), spike length (0.43), and harvest index (0.29) on grain yield of wheat. Hence, for increasing yield of wheat in the breeding program, selection and hybridization can be made more effective and accurate by using those a significant positive correlation coefficient and direct effect on the grain yield of wheat.

scholarly journals Genetic diversity and character association analysis based on pomological traits in olive (Olea europaea L.)

2017 ◽  
Vol 9 (3) ◽  
pp. 1551-1556
Author(s):  
S. Lal ◽  
O. C. Sharma ◽  
D. B. Singh
Keyword(s):  
Olea Europaea ◽  
Oil Content ◽  
Positive Association ◽  
Fruit Weight ◽  
Fruit Yield ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Significant Positive Association ◽  
Olea Europaea L ◽  
Olea Europaéa

Thirteen exotic genotypes of olive (Olea europaea L.) were studied for the genetic variability, correlation and path coefficient analysis for fruit quality, yield and yield contributing traits at experimental farm of ICAR-CITH, Srinagar during 2009-2013. Maximum variability was recorded for fruit yield and oil content, however, low differ-ences between the phenotypic and genotypic coefficients of variations indicated low environmental influences on the expression of these characters. High heritability coupled with high genetic advance was obtained with fruit yield per plant, acidity, fruit pulp weight, fruit weight and stone weight. Fruit weight (r=0.329), stone weight (r=0.405) and oil content (r=0.841) were the most important traits, which possessed significant positive association with fruit yield per plant. Path coefficient analysis revealed that among the different yield contributing characters oil content (0.875), fruit weight (0.797) followed by acidity (0.501), peroxides value ( 0.199) and fruit length (0.054) influenced fruit yield per plant directly. The direct effects of these characters on fruit yield were found positive and considerably very high.The selection based on fruit weight, stone weight oil content and yield per plant will be effective for enhancing the fruit and oil yieldand making future olive breeding strategies.

Sign in / Sign up

Export Citation Format

Share Document