Correlation and Path Coefficient Analysis of Grain Yield and its Growth Components in Soybean (Glycine max. L.)

Wamanrao, Agashe Nehatai; Kumar, Vinod; D.T.MESHRAM, None

doi:10.20546/ijcmas.2020.903.280

Cited by 8 publications

(9 citation statements)

References 4 publications

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“…The variables under the study were classified as dependent variable and independent variables (Wamanrao et al, 2020). In path analysis, kernel dry weight was used as the dependent variable, the total dry was is used as the intervening variable (mediator), and the other variables were used as the independent variable.…”

Section: Discussionmentioning

confidence: 99%

“…The growth components have a correlation with each other that eventually affects the yield. The value of Karl Pearson's correlation coefficient helps in finding the correlation between two characters or components (Wamanrao et al, 2020). The stratification of correlation was categorized as negligible (0.00-0.10), weak (0.10-0.39), moderate (0.40-0.69), strong (0.70-0.89), and very strong (0.90-1.00).…”

Section: Correlation Coefficient Of Growth Components and Yield Of Cornmentioning

confidence: 99%

“…Path coefficient (β) analysis is carried out to study the direct and indirect effects of independent variables on the dependent variable (Wamanrao et al, 2020). Results of path coefficient analysis of all traits or components to yields are given in Figure 6.…”

Section: Path Analysis Of Growth Components and Yield Of Cornmentioning

confidence: 99%

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Effects of different management practices on the growth and yield of corn

Syafrizal,

Sevirasari,

Adileksana

2024

ipas

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In Indonesia, corn is an important commodity that serves as the second source of carbohydrates after rice, whose productivity is influenced by management practices applied during cultivation. This research aimed to determine the effects of different management practices on the growth and yield of corn. This research was arranged in a single-factor Randomized Complete Block Design, with different agriculture management practices as treatments, consisting of TI1 = Best Practices (Drip Irrigation + Rice Husk + Mycorrhiza), TI2 = Farmers’ Practices (Furrow Irrigation) + Mycorrhiza, and TI3 = Farmers’ practices (Furrow Irrigation). The data observed were analyzed using Analysis of Variance and followed by the Post Hoc Tukey’s HSD at α= 5%. The results showed that the TI1 produced significantly higher plant height, stem diameter, leaf dry weight, weight of cob with cornhusk and kernel dry weight, and effectively suppressed weed growth compared to TI2 and TI3. TI1 produced a significantly higher number of leaves, root dry weight, and total dry weight compared to TI3, but not significantly different compared to TI2. TI1 produced not significantly different stem dry weight and harvest index compared to TI2 and TI3. The kernel dry weight per plant observed in TI1 was 157.63 g, which was 14.22% and 22.91% higher than in TI2 and TI3, respectively. Based on the coefficient correlation and path analysis, the number of leaves, plant height, and total dry weight should be considered as important plant growth variables to produce high kernel dry weight.

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Section: Discussionmentioning

confidence: 99%

Section: Correlation Coefficient Of Growth Components and Yield Of Cornmentioning

confidence: 99%

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Effects of different management practices on the growth and yield of corn

Syafrizal,

Sevirasari,

Adileksana

2024

ipas

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“…While path analysis splits the correlation coefficient into direct and indirect effects which specify the relative contribution of each character [2]. A study about the contribution of the direct and indirect effects of each character towards yield or quality traits could be an added advantage in aiding the selection process [3]. In the present paper, the correlation and path coefficients have been evaluated to estimate the contribution of characters on grain yield in rice.…”

Section: Introductionmentioning

confidence: 99%

Correlation and Path Analysis Studies for Yield and Quality Traits of Rice Landraces and Mutants of Chhattisgarh, India

Parte

Sathish

Sahu

et al. 2022

IJECC

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Background: The production of rice needs to grow as this is one of the major objective in plant improvement program to fulfill the requirement of the rapidly growing population. Objective and Methods: The field experiment was conducted to study character association among yield and its attributes among 58 rice genotypes at Indira Gandhi Krishi Vishwavidyalaya, College of Agriculture, Raipur (C.G.) to know the relationship among characters. Results: it is found out that Traits like panicle weight per plant, filled spikelets per panicle, harvest index, and biological yield per plant are having a high direct effect and significant correlation with grain yield per plant, and traits like milled grain length-width ratio, hulling %, and alkali spreading value are having a high direct effect and significant correlation with head rice recovery. Conclusions: Direct selection based on these traits for improvement of rice grain yield and grain quality can be effective.

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“…"Correlation and genetic variability analysis leads us to a clear understanding of the genetic association of various plant traits and their contribution to yield.correlation coefficients are generally employed to determine the relation of grain yield and yield components" [7]. "Path coefficient analysis is an efficient statistical technique specially designed to quantify the interrelationship of different components and their direct and indirect effects on grain yield" [8]. "The information on relative direct and indirect contribution of each component character toward yield will help breeders to formulate the effective criteria in selecting desirable genotypes in early segregating populations" [9].…”

Section: Introductionmentioning

confidence: 99%

Character Association and Path Coefficient Analysis in Upland Rice (Oryza sativa L.) for Grain Yield and Quality Characters

Rajasekhar

Lavanya²,

Purushotham³

et al. 2022

IJPSS

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The present investigation was undertaken to evaluate Twenty Five Upland Rice genotypes. There are various aspects to move up rice yield, such as creating of irrigation work, development of rice ecosystems, soil conditions, traditional practices, and breeding of high yielding genotypes. Among them, it seems that the most effective and economic way available is to develop different rice ecosystems especially Upland Rice Genotypes. High to moderate phenotypic and genotypic coefficient of variation were observed for number of panicles per hill and number of tillers per hill. High heritability coupled with high genetic advance as percent of mean was observed for number of panicles per hill, number of tillers per hill, grain yield per hill, test weight and flag leaf length, indicating that these traits are most probably under the control of additive gene action and hence these traits can be fixed by proper selection.Days to 50% flowering, plant height, number of panicles per hill, flag leaf width, spikelets per panicle, days to maturity, biological yield per hill, harvest index and test weight, exhibited positive significant correlation with grain yield per hill at both genotypic and phenotypic levels, indicating selection based on these traits could be more effective to maximize grain yield. Days to 50% flowering, biological yield per hill and harvest index had positive direct effect on grain yield per hill. Therefore, selection program should be based on these traits for crop improvement with high yielding genotypes in Upland rice.

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Correlation and Path Coefficient Analysis of Grain Yield and its Growth Components in Soybean (Glycine max. L.)

Cited by 8 publications

References 4 publications

Effects of different management practices on the growth and yield of corn

Effects of different management practices on the growth and yield of corn

Correlation and Path Analysis Studies for Yield and Quality Traits of Rice Landraces and Mutants of Chhattisgarh, India

Character Association and Path Coefficient Analysis in Upland Rice (Oryza sativa L.) for Grain Yield and Quality Characters

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