scholarly journals Correlation and path analysis of yield and its components and plant traits in wheat

2004 ◽  
Vol 34 (6) ◽  
pp. 1701-1708 ◽  
Author(s):  
Lauro Akio Okuyama ◽  
Luiz Carlos Federizzi ◽  
José Fernandes Barbosa Neto
Keyword(s):  
Grain Yield ◽  
Path Analysis ◽  
Plant Traits ◽  
Flag Leaf ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
Correlation And Path Analysis ◽  
Positive Direct

This study was aimed to characterize yield components and plant traits related to grain yield. Correlation and path analysis were carried out in wheat genotypes grown under irrigated and non-irrigated field conditions. In the path coefficient analysis, grain yield represented the dependent variable and the number of spikes m-2, number of grains spike-1, kernel weight, days to anthesis, above-ground biomass m-2 and plant height were the independent ones. In both years, periods without rain occurred from early milk to grain ripening and from flag leaf sheath opening to grain ripening for first and second sowing dates, respectively. Character associations were similar in both water regimes. Grain yield showed positive phenotypic correlation with above-ground biomass, number of spikes m-2 and number of grains per spike. Path analysis revealed positive direct effect and moderate correlation of number of spike m-2 and number of grains per spike with grain yield. These results indicated that the number of spikes m-2 and the number of grains per spike followed by the above-ground biomass were the traits related to higher grain yield, under irrigated and late season water stress conditions.

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.

scholarly journals Association analysis of some morphological traits of wheat (Triticum aestivum L.) under field stress conditions

2011 ◽  
Vol 52 (No. 4) ◽  
pp. 171-177
Author(s):  
W.M. Bhutta ◽  
M. Ibrahim ◽  
Tahira
Keyword(s):  
Survival Rate ◽  
Grain Yield ◽  
Osmotic Pressure ◽  
Leaf Area ◽  
Flag Leaf ◽  
Triticum Aestivum L ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Leaf Venation ◽  
Positive Direct

An association between yield components and their direct and indirect influence on the grain yield of wheat were investigated. 24 breeding lines were tested in a randomized complete block experiment design with three replications. According to the results the phenotypic correlation among the traits and their path coefficient were estimated. Positive significant correlation coefficients were obtained for association between survival rate treatment I (0.35*) and III (0.34*), leaf venation (0.51*), stomatal frequency (0.39*), osmotic pressure (0.30*), flag leaf area (0.85*), number of tillers per plant (0.70*) with grain yield per plant at both phenotypic and genotypic levels. A negatively significant correlation between hygrophilic colloids (&ndash;0.15*) and epidermal cell size (&ndash;0.22*) with grain yield per plant was obtained at phenotypic and genotypic levels. Path coefficients were also computed to estimate the contribution of character to the yield. Path coefficient analysis revealed that flag leaf area (1.34), root/shoot ratio (0.51) and survival rate II (0.56) had the highest positive direct effects on grain yield, while hygrophilic colloids (&ndash;0.24) and osmotic pressure (&ndash;0.07) had a negative direct effect on grain yield. The results thus obtained suggested that flag leaf area is an important component of yield and hence needs a special attention in selection strategies.

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 Phenotypic correlations and path analysis for plant architecture traits and grain production in three generations of cowpea

Revista CERES ◽  
2016 ◽  
Vol 63 (1) ◽  
pp. 33-38 ◽  
Author(s):  
Hugo Leonardo Coelho Ribeiro ◽  
Carlos Antônio Fernandes Santos ◽  
Laerte da Silva Diniz ◽  
Layana Alves do Nascimento ◽  
Edna Deodato Nunes
Keyword(s):  
Grain Yield ◽  
Path Analysis ◽  
Plant Architecture ◽  
Statistical Significance ◽  
Phenotypic Correlation ◽  
Cowpea Cultivars ◽  
Phenotypic Correlations ◽  
Three Generations ◽  
Correlation And Path Analysis ◽  
Selection Of

ABSTRACT The objective of this study was to analyze the phenotypic correlation and path analysis of traits related to plant architecture, earliness and grain yield in F2, BC1 and BC2 generations, from crosses between cowpea cultivars BRS Carijó and BR14 Mulato. Most phenotypic correlations of the examined traits were concordant in statistical significance, with approximate values among the examined generations. For the trait seed weight, significant and positive phenotypic correlations were observed in the three generations only for the trait number of secondary branches. The values of the direct effects were in agreement with the values of the phenotypic correlations, which indicate true association by the phenotypic correlation among the traits of grain yield examined. Path analysis indicated that the selection of productive plants will result in early plants and an increased number of secondary branches. In F2, plants with shorter length of the main branch and shorter length of secondary branches can be obtained. The causal model explained 15 to 30% of the total variation in grain weight in relation to the traits examined. The analyses indicated the possibility of selecting plants with a higher and early grain yield, shorter length of primary branches and lower number of nodes, which are important variables for mechanical or semi-mechanical harvesting.

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 Selection Criteria for Identification of High Yielding Rice (Oryza sativa L.) Genotypes under Aerobic Cultivation

2020 ◽  
pp. 102-109
Author(s):  
Ramya Rathod ◽  
B. Soundharya ◽  
Firdoz Shahana ◽  
P. Jalender Naik ◽  
Y. Swathi
Keyword(s):  
Grain Yield ◽  
Path Analysis ◽  
Oryza Sativa L ◽  
Grain Weight ◽  
Spikelet Fertility ◽  
Direct Selection ◽  
Biological Yield ◽  
Correlation And Path Analysis ◽  
Positive Direct ◽  
1000 Grain Weight

Ten rice genotypes were evaluated to study the genetic variability, correlation and path analysis under aerobic conditions for selection of high yielding genotypes. The experiment is carried out in RCBD with 3 replications and the data is analysed in SPAR 2.0, Past 4.01 and OPSTAT for variability, correlation and path analysis respectively. The phenotypic and genotypic coefficients of variation were high for the number of productive tillers per plant, the number of filled grains per panicle, 1000-grain weight, biological yield and grain yield indicating the possibility of genetic improvement through direct selection for these traits. The magnitude of difference between PCV and GCV was less for the traits indicating little influence of environment. High heritability coupled with high genetic advance was recorded for the number of productive tillers per plant, the number of filled grains per panicle, 1000-grain weight, spikelet fertility, biological yield and grain yield indicating a preponderance of additive gene action, which provide excellent scope for further improvement by selection. Significant positive association of grain yield with number of productive tillers per plant, panicle length, number of filled grains per panicle, 1000-grain weight, spikelet fertility and biological yield was observed. Path analysis revealed the traits, number of filled grains per panicle exerted highest positive direct effect on grain yield followed by 1000-gain weight and number of productive tillers per plant. Thus, these traits which contribute to the grain yield under aerobic condition could be exploited for further breeding programme.

scholarly journals Genetic variability, character association and path analysis in maize (Zea mays L.)

2016 ◽  
Vol 41 (1) ◽  
pp. 173-182 ◽  
Author(s):  
S Begum ◽  
A Ahmed ◽  
SH Omy ◽  
MM Rohman ◽  
M Amiruzzaman
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Coefficient Of Variation ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Character Association ◽  
High Heritability ◽  
Ear Height ◽  
Positive Direct ◽  
Almost All

Twenty-two maize hybrids were evaluated to find out their variability, character association and path coefficient of grain yield and its component characters. Significant differences were found among the genotypes for the characters studied. Ear length and grain yield (t/ha) had moderate genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV), but the had the low environmental co-efficient of variation (ECV). The heritability for all the characters was high. The characters viz. plant height, ear height and 1000-grain weight, showed high heritability along with high genetic advance. Ear length, ear diameter and kernel per row had highly significant positive correlation with grain yield. However, the deviations between genotypic and phenotypic correlation and magnitude of environmental correlation suggested considerable influence of growing environment in expressing almost all the characters. Path coefficient analysis revealed that plant height (0.659), ear length (0.934) and kernel-rows per ear (0.715) had highly significant positive direct effect on grain yield suggesting their importance during selection. Simultaneous restricted selection should be done for number of kernel rows per ear.Bangladesh J. Agril. Res. 41(1): 173-182, March 2016

scholarly journals Correlation and path coefficient analysis in advanced wheat genotypes

2017 ◽  
Vol 15 (1) ◽  
pp. 1-12 ◽  
Author(s):  
DK Ayer ◽  
A Sharma ◽  
BR Ojha ◽  
A Paudel ◽  
K Dhakal
Keyword(s):  
Grain Yield ◽  
Path Analysis ◽  
Direct Effect ◽  
Harvest Index ◽  
Wheat Crop ◽  
Path Coefficient ◽  
Lattice Design ◽  
Biological Yield ◽  
Level Of Significance ◽  
Positive Direct

A field experiment was conducted in alpha lattice design in subtropical region of Nepal in the wheat crop to determine the association between yield and yield attributing traits through correlation and path analysis. The result showed highly significant variations among the genotypes for all the traits under study. Simple correlation coefficients revealed that the association of grain yield with biological yield followed by harvest index, plant height, thousand grain weight and Area Under SPAD Retread Curve (AUSRC) at anthesis were positive and highly significant (at 1% level of significance). The positive and significant (at 5% level of significance) association of grains per spike followed by flag leaf area with grain yield was also found. Path analysis showed that biological yield and harvest index had the highest positive direct effect on grain yield. While other traits contribute to the grain yield significantly indirectly via biological yield and harvest index. This suggests that biological yield and harvest index having significant positive correlation and high direct effect on grain yield explained the true relationship and the direct selection of the genotypes through these traits is effective for improving yield potentiality.SAARC J. Agri., 15(1): 1-12 (2017)

scholarly journals Genetic Association and Path Coefficient Analysis for Grain Yield Characters in Elite Rice (Oryza sativa L.) Germplasm

2021 ◽  
pp. 94-99
Author(s):  
N. Nikitha Reddy ◽  
Gabrial M. Lal ◽  
B. Pragathi ◽  
P. Nikhil
Keyword(s):  
Grain Yield ◽  
Harvest Index ◽  
Flag Leaf ◽  
Leaf Length ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Biological Yield ◽  
Flag Leaf Length ◽  
Positive Direct ◽  
Hill Number

The study was carried out to study the correlation and path coefficient analysis for grain yield characters in 36 rice genotypes including one check for 13 quantitative parameters. The experimental material was carried out during Kharif, 2020, in a randomized block design with three replications obtained from the Department of Genetics and Plant Breeding, SHUATS, Allahabad, U.P., India. Analysis of variance revealed that there is significant variability among the genotypes. Correlation coefficient analysis at genotype level and phenotypic level revealed that plant height, flag leaf length, flag leaf width, number of tillers per hill, number of panicles per hill, number of spikelets per panicle, biological yield, and harvest index, showed positive significant correlation with grain yield per plant. Path coefficient analysis at both genotypic and phenotypic levels revealed that flag leaf length, number of panicles per hill, days to maturity, biological yield, harvest index and test weight had positive direct effect on grain yield per hill. Biological yield per hill (0.8481) exerted high positive direct effect as well as high positive significant association (0.809**) with grain yield per hill thus this character resulted as most essential direct yield character.

scholarly journals Genetic variability, correlation and path analysis in tamarind (Tamarindus indica L.)

2020 ◽  
pp. 133-139
Author(s):  
C. Rajamanickam
Keyword(s):  
Path Analysis ◽  
Coefficient Of Variation ◽  
Fruit Weight ◽  
Path Coefficient ◽  
Phenotypic Variance ◽  
Shell Weight ◽  
Pod Yield ◽  
High Heritability ◽  
Correlation And Path Analysis ◽  
Positive Direct

The present study was conducted at the Horticultural College and Research Institute, Periyakulam with the objective to estimate the extent of genotypic and phenotypic coefficient of variation, correlation and path analysis among tamarind genotypes. A remarkable variability was observed among the tamarind collections for all the characters. In all the cases, phenotypic variance was higher than the genotypic variance. Also, phenotypic coefficient of variation was found higher than genotypic coefficient of variation for all the traits. The high heritability coupled with high genetic advance as per cent over mean was observed in the traits such as pod yield plant-1 (98.07%; 76.103%), fruit weight (89.11%; 63.668%), fibre weight (89.95%; 91.967%), shell weight (86.19%; 58.534%) and pulp weight (74.13%; 51.533%) whereas the lowest values were recorded for pod length (34.91%; 13.945%) and tree circumference (20.34%; 8.198%). Thus, it indicated better scope for improvement of these traits through selection programme. Pod yield tree-1 was significantly and positively correlated with pod width, tree circumference and pulp weight. Path coefficient analysis showed that pod yield tree-1 contributed the maximum positive direct effect.

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