Path Coefficient Analysis Research Articles

The Impact of Knowledge Management Process and Approach on Innovation Performance: A Case Study of Telekom Malaysia

The paper aims to examine the effect of knowledge management processes (knowledge acquisition, knowledge sharing and knowledge utilization) and knowledge management approaches (codification strategy and personalization strategy) on innovation performance in Telekom Malaysia. Quantitative research has been used as a research approach for the study. Data was collected through an online questionnaire. Out of 172 questionnaires distributed, 172 were returned with a 100 percent response rate. A Partial Least Square approach of Structural Equation Model (PLS-SEM) was used to examine the research hypothesis, and a path coefficients analysis was conducted, in addition to descriptive statistics that provide a background about the respondents. The analysis showed that there is a significant and positive impact of knowledge management processes (knowledge sharing & knowledge utilization) on innovation performance in Telekom Malaysia, as well as a significant and positive effect of personalization strategy approaches on innovation performance, whereas the knowledge process (knowledge acquisition) and (codification strategy) does not. This study contributed new insights to our present understanding of the impact of knowledge management processes and approaches on innovation performance in the telecommunications industries. With the help of these contributions, Telekom Malaysia can implement the proper knowledge management and practises in order to make better decisions in many ways of innovation performance. Although there are several sorts of innovation, all of them contribute to the generation of new knowledge within the organization

Transforming Agriculture through Nanotechnology: A Comprehensive Overview

Nanotechnology has emerged as a transformative force in agriculture, offering innovative solutions to address critical challenges in food production, sustainability, and resource management. This comprehensive overview explores the multifaceted impact of nanotechnology on agriculture, providing insights into its potential to revolutionize the sector and by elucidating the fundamental principles of nanotechnology and its applicability in agriculture, emphasizing nanomaterials’ unique properties that enable precise manipulation at the molecular and nanoscale levels. It explores diverse applications, including nanoparticle-based nutrient delivery systems, nanoencapsulation for controlled release of agrochemicals, and the development of nanosensors for real-time monitoring of crop health and environmental parameters. Furthermore, this delves into the emerging field of precision farming enabled by nanotechnology, where data-driven decision-making and targeted interventions optimize resource utilization, minimize environmental impacts, and maximize crop yields. It examines the potential of nano pesticides in integrated pest management, highlighting their eco-friendly nature and reduced environmental contamination. Nanotechnology’s role in soil management and remediation is also discussed, showcasing its capacity to improve soil health, remediate contaminated lands, and enhance nutrient availability. The review sheds light on the application of nanofertilizers, which not only enhance nutrient use efficiency but also mitigate nutrient runoff, contributing to sustainable agriculture. While nanotechnology holds immense promise, it is imperative to consider safety and environmental implications. This examines the challenges and regulatory considerations surrounding the use of nanomaterials in agriculture, emphasizing the need for responsible development and rigorous risk assessment.

Assessment of Genetic variability, Correlation coefficient and Path coefficient analysis in groundnut (Arachis hypogaea L.) genotypes for Yield and Quality traits

Assessment of Genetic variability, Correlation coefficient and Path coefficient analysis in groundnut (Arachis hypogaea L.) genotypes for Yield and Quality traits

Assessment of Correlation and Path Coefficient Analysis in Bread Wheat (T. aestivum L.) for Yield and Its Related Characters

Assessment of Correlation and Path Coefficient Analysis in Bread Wheat (T. aestivum L.) for Yield and Its Related Characters

Deciphering Chickpea Breeding Lines through Genetic Potential and Trait Association Analysis

Exploring the genetic potential of chickpeas is imperative for strategic parent selection, targeted hybridization, and effective trait integration, resulting in development of resilient and high-yielding varieties. Hence, the current study aims to uncover the genetic potential and character associations of advanced breeding lines in chickpea, conducted at the Seed Breeding Farm, Department of Plant Breeding and Genetics, JNKVV, Jabalpur during the rabi season of 2021-22. The assessment of forty advanced chickpea breeding lines encompassed an analysis of genetic parameters, correlation, and path coefficients. The findings unveiled that, across all observed traits, the phenotypic coefficient of variation (PCV %) exceeded the genotypic coefficient of variation (GCV %). The examination of genetic potential, utilizing phenotypic and genotypic coefficients of variability, heritability, genetic advance, and genetic gain, demonstrates a significant degree of variability within the genotypes for traits including total number of pods per plant, number of effective pods per plant, biological yield per plant, and seed yield per plant. The seed yield per plant exhibited high positive and direct effect and significant positive correlation with biological yield per plant and total number of pods per plant. Consequently, prioritizing these traits in future breeding programs could lead to the development of chickpea varieties with enhanced yield potential.

Assessment of genetic diversity and path coefficient analysis for grain yield in pigeon pea (Cajanus cajan L. Millsp.)

Assessment of genetic diversity and path coefficient analysis for grain yield in pigeon pea (Cajanus cajan L. Millsp.)

Studies on character association and path coefficient analysis for various qualitative and quantitative traits in bottle gourd (Lagenaria siceraria (Mol.) Standl.)

Studies on character association and path coefficient analysis for various qualitative and quantitative traits in bottle gourd (Lagenaria siceraria (Mol.) Standl.)

Estimation of Correlation and Path coefficient analysis for yield and yield associated traits in Potato (Solanum tuberosum L.) under normal conditions

Estimation of Correlation and Path coefficient analysis for yield and yield associated traits in Potato (Solanum tuberosum L.) under normal conditions

Genetic variability, correlation and path analysis of yield and yield contributing characters in wheat (Triticum aestivum L.) under normal and terminal heat stress condition

Genetic variability and characters association studies play a pivotal role in enhancing selection efficiency under stress condition in plants. Therefore, the study was aimed at assessing the impact of terminal heat stress on various morpho-physiological traits and their association in wheat under control and terminal heat stress condition. The experiment was conducted using thirty-five wheat genotypes in a Randomized Complete Block design (RCBD) plots on three different sowing dates to induce terminal heat stress. A range of 11 morpho-physiological parameters were assessed. All of the traits showed significant variations under studied conditions. Estimates of the genotypic and phenotypic coefficients of variation (GCV and PCV) showed that PCV was higher than GCV indicating large environmental influence on the expression of the traits under study. High GCV and PCV were observed in grain per plant and yield per plant in both normal and heat stress conditions. Chlorophyll content, grain per plant and yield per plant showed highest heritability with high genetic advance (GA) under both normal and terminal heat stress condition. According to the results of the path co-efficient analysis, grain per plant had a strong positive connection with grain yield and plant height and days to 50% flowering had a negative correlation with grain yield per plant under both normal and stress condition. Canopy temperature has direct negative effect on yield in stress condition. The identified traits can be used as effective selection criteria under terminal heat stress condition to develop high yielding heat tolerant wheat variety.

Correlation and path coefficient analysis of different maize genotypes under rainfed condition

Correlation and path coefficient analysis of different maize genotypes under rainfed condition

Correlation and path coefficient analysis of yield and its component traits among different accessions of the tribal pulse, Abrus precatorius L

Correlation and path coefficient analysis of yield and its component traits among different accessions of the tribal pulse, Abrus precatorius L

Correlation and Path Coefficient Analysis of Yield and Yield Associated Traits in Linseed (Linum usitatissimum L.)

Correlation and Path Coefficient Analysis of Yield and Yield Associated Traits in Linseed (Linum usitatissimum L.)

Correlation and path coefficient analysis for yield and its attributing traits in Yardlong bean (Vigna unguiculata sub sp. sesquipedalis) genotypes

Correlation and path coefficient analysis for yield and its attributing traits in Yardlong bean (Vigna unguiculata sub sp. sesquipedalis) genotypes

Genotype X Traits Analysis of Gerbera (Gerbera jamensoii) Varieties for Vegetative Traits by Biplots

Recent ten genotypes of gerbera were evaluated for vegetative traits during the year 2022-23 to determine genetic variability, heritability and genetic advance for 15 quantitative traits. Analysis of variance showed significant differences among genotypes for all the characters studied. Results revealed that magnitude of the Phenotypic Coefficient of Variation (PCV) was higher than Genotypic Coefficient of Variation (GCV) for all the traits, indicating greater genotype and environment interaction. High PCV and GCV were observed for number of leaves/plant and leaf width. In the present study bud initiation, plant spread after 100 days of panting, plant height after 45 days of planning showed the high heritability along with maximum genetic gain. Number of leaves (45 days) had maintained only positive correlation with the considered vegetative traits. Leaf length (45 days) exhibited showed direct relationship with plant height (45 days) and leaf length(100 days) while negative relation of plant spread (45 days) with leaf length (100 days) and days to bud initiation. Path coefficient analysis showed, plant spread (0.976) had highest positive effect on fresh weight of flowers followed by leaf length (0.824), number of leaves per plant (0.20) while negative effect of plant height (45 and 100 days), days to bud initiation, leaf length (100 days). Performance of Intense, Stanza, Brillance would be unstable type as compared to Golian and Dana Ellen as placed near to the origin of biplot analysis in the present study based on vegetative traits in biplot analysis. Next cluster in same quadrant was comprised of leaf length, leaf width, plant height at 45 days of planting. First cluster of other quadrant comprised of leaf length, leaf width, plant spread at 100 days of planting and last cluster of days to bud initiation with fresh weight of flowers formed across the quadrants.

Study on Correlation and Path coefficient analysis for yield related traits in Ricebean (Vigna umbellata)

Rice bean (Vigna umbellata) is a pulse crop, mainly grown in the kharif season. It is having potential to resist pest and diseases and also rich source of proteins and minerals. Twenty genotypes were evaluated to study the correlation and path analysis in the present research work. The experiment was conducted in crop research centre, ITM University, Gwalior, M.P. in kharif season 2022. Correlation analysis showed that seed yield per plot had positive and highly significant association between days to maturity, clusters per plant, number of pods per plant and hundred seed weight. The genotypic correlation results are slightly greater than the phenotypic path analysis. Path analysis of the present investigation revealed that the characters like number of seeds per pod exhibits positive and direct effect on the seed yield per plot at both genotypic and phenotypic level. Selection of these traits could be helpful in enhancing the seed yield.

Traits association and path coefficient analysis of yield and yield attributing traits of upland rice (Oryza sativa L.) genotypes at pawe, northwestern Ethiopia

Traits association and path coefficient analysis of yield and yield attributing traits of upland rice (Oryza sativa L.) genotypes at pawe, northwestern Ethiopia

Evaluation of the Potentiality of Eight Advanced Populations of Brassica Rapa L. Based on Yield and Yield Contributing Characters

In a study conducted at the experimental field of Sher-e-Bangla Agricultural University from November 2018 to February 2019, eight advanced populations of Brassica rapa L. were assessed to explore their variability, heritability, genetic advance, correlations and path coefficient considering twelve yield-contributing traits. Significant variation was observed among all populations for all traits. Minimum difference between phenotypic and genotypic variance was noted in most of the traits, while high genotypic and phenotypic coefficient of variation occurred in the number of secondary branches per plant, number of siliquae per plant, thousand seed weight, and seed yield per plant. Traits like days to first flowering, days to 50% flowering, and days to 80% maturity exhibited high heritability with low genetic advance. Conversely, the number of siliquae per plant demonstrated high heritability with high genetic advance, suggesting potentiality for trait selection. Correlation analysis identified significant positive associations between seed yield per plant and several traits. Path coefficient analysis highlighted direct positive effects on seed yield per plant from days to 80% maturity, root length, number of secondary branches per plant, and thousand seed weight. Chronologically, G6 performed the best showcasing most of the traits especially seed yield per plant and days to 80% maturity which can be considered as important breeding material for improvement of B. rapa L. SAARC J. Agric., 21(2): 109-118 (2023)

Genetic Evaluation of Recombinant Inbred Lines of Rice Derived from Swarna-Sub1 x AC 20431B for Yield Related Traits

Submergence is the third most important abiotic stress hugely affecting yield and productivity in rice. There are many wild varieties and landraces available which are tolerant to submergence stress. These genotypes can be utilized as donors in different breeding programs. The population derived from such germplasms are subjected to genetic evaluation for yield and yield related attributes for development of lines that are high yielding as well as tolerant to submergence. The present investigation was executed in 120 Recombinant Inbred Lines (RIL) population (F10) derived from Swarna-Sub1 x AC 20431B along with four land races and Swarna-Sub1 to elucidate the association existing between yield and yield attributing characters. Apart from this, Correlation and path analysis was also employed to study direct and indirect effect on grain yield. Observations for agro-morphological traits such as days to 50% flowering, plant height, panicle length, total number of tillers, number of effective tillers per plant, number of filled grains and Spikelet fertility, test weight, grain yield per plant, biomass per plant and harvest index were recorded and analyzed for various variability parameters. Correlation and path coefficient analysis were also carried out. High heritability and genetic advance values were observed for days to 50% flowering, plant height, panicle length, total number of tillers per plant, effective tillers per plant, filled grains per panicle, spikelet fertility, test weight, grain yield and biomass per plant. Among all the characters; filled grains per panicle, biomass and harvest index per plant showed significant correlation with grain yield. Effective number of tillers per plant has the highest positive direct effect on grain yield.

Academic Cheating: The Significance of Religion

The role of cheating religion in academic cheating is the focus of this study. This study included 137 Fajar University Makassar students who attended lectures during the Covid-18 outbreak. In this investigation, saturated samples were used. Questionnaires were used to gather the data, which was then analyzed using path coefficient analysis using the Smart PLS tool. The result of this study is that academic pressure effects academic cheating behavior; opportunity does not influence academic cheating behavior; rationalization influences academic cheating behavior; capacity to influence academic cheating behavior; ethics According to the findings of multigroup study, religiosity is modest and reduces academic cheating, but not significantly. Religious students are more likely to avoid academic cheating while being under less pressure in terms of opportunity, talent, justification, and ethics. At Fajar University Makassar, there are several ways to prevent academic cheating, including conducting outreach activities about cheating and its consequences, informing students that cheating will be caught and announced, and ensuring that students do not work in an unsatisfactory manner. fraud, demonstrating that any fraud would be penalized, educating kids to write without cheating, and encouraging them to conduct ethically.

Unclenching the potentials of global core germplasm for root nodulation traits for increased biological nitrogen fixation and productivity in chickpea (Cicer arietinum L.)

Chickpea being an important food legume crop is able to fix the atmospheric nitrogen and form root nodules that support biologicalnitrogen fixation- a sustainable alternative for nitrogen supply to agriculture worldwide. In order to support findings on nodule formation in chickpeas, a diverse core set of 300 chickpea genotypes, including four checks, was evaluated for morphological and nodulation traits in four different environments. The maximum genotypic and phenotypic coefficient of variation was observed for a number of nodules, nodule fresh weight, shoot fresh weight, and number of seeds per plant. The heritability for most of the characters ranged from 26.56 for days to 50% flowering to 99.61 for a number of pods per plant. The genotypic and phenotypic correlation coefficient analysis revealed that the number of nodules was positively correlated with seed yield. Further, seed yield was partitioned into direct and indirect effects at genotypic and phenotypic levels through path coefficient analysis. Significant genotypic correlations and direct positive effects were exhibited by a number of nodules and number of pods per plant on grain yield. Based on the D2 statistics, the number of seeds per plant, number of pods per plant, shoot fresh weight and number of nodules have been identified as top-ranking yield contributing traits. The genotypes ICC1013 and ICC16569 for a number of nodules and ICC1049 for the trait number of seeds per plant were identified as potential stable donors for the respective traits with high mean yield, heritability and genetic advance across the locations and can be used as donors in the chickpea breeding programs for increasing biological nitrogen fixation and enhancement of the crop productivity.