Wissenschaftliche Studie, 2020
124 Seiten
1. INTRODUCTION
2. REVIEW OF LITERATURE
2.1 Genetic Variability
2.2 Heritability and genetic gain
2.3 Correlation and path coefficient analysis
2.4 Genetic divergence
3. MATERIALS AND METHODS
3.1 Experimental material
3.2 Characters studied and observational procedures
3.3 Statistical and biometrical analysis
4. EXPERIMENTAL FINDINGS
4.1 Mean performance and Analysis of variance
4.2 Coefficient of variability, heritability and genetic gain
4.3 Correlation coefficient
4.4 Path coefficient analysis
4.5 Estimation of genetic divergence
4.6 Percent contributon of traits
5. DISCUSSION
5.1 Mean performance of genotypes
5.2 Genetic variability, heritability and genetic gain (genetic advance as per cent of mean)
5.3 Correlation coefficients
5.4 Path coefficient analysis
5.5 Genetic diversity
6. SUMMARY AND CONCLUSION
The study investigates the genetic variability, heritability, and divergence in bottle gourd genotypes to identify superior breeding lines for crop improvement, specifically focusing on yield-related traits and their interrelationships.
3.1 Experimental material
Thirty diverse genotypes of bottle gourd were evaluated for various yield and yield attributing traits at the Experimental field of the Division of Vegetable science SKUAST-K Shalimar Srinagar, during Kharief 2018. The names of the genotypes along with their source are given in the Table-1. A single factor experiment was laid out in randomized complete block design (RCBD) with three replications of each accession per plot. The whole experimental area was divided into three blocks (experimental units) each of which was then divided into thirty rows to represent the thirty treatments. Seeds from each genotype were sown at random to each block at spacing of 1 m between rows and 0.60 m between seed to seed. Recommended package of practices were adopted to raise a healthy crop.
1. INTRODUCTION: Provides an overview of bottle gourd's origin, economic importance, nutritional value, and the necessity for genetic improvement through breeding.
2. REVIEW OF LITERATURE: Examines previous research regarding genetic variability, heritability, correlation, path analysis, and genetic divergence in bottle gourd and related crops.
3. MATERIALS AND METHODS: Details the experimental setup, location, materials used, and the statistical methodologies employed for data analysis.
4. EXPERIMENTAL FINDINGS: Presents the results of the analysis of variance, trait variability, correlation studies, and genetic divergence among the thirty genotypes.
5. DISCUSSION: Interprets the experimental results, comparing them with existing literature and highlighting the implications for breeding programs.
6. SUMMARY AND CONCLUSION: Recaps the major findings of the investigation and provides concluding recommendations for future breeding efforts.
Correlation, Clusters, Divergence, Genetic gain, Heritability, Variability, Bottle gourd, Breeding, Yield, Genotypes, Path analysis, Phenotypic, Genotypic, Morphology.
The primary goal is to study genetic divergence and variability among thirty bottle gourd genotypes to facilitate the selection of superior parents for effective hybridization programs.
The study focuses on genetic variability, heritability, correlation between yield components, path coefficient analysis, and genetic diversity clusters.
The research seeks to determine how diverse genotypes can be clustered based on their quantitative traits to optimize selection for high-yielding bottle gourd varieties.
The study utilized a randomized complete block design (RCBD), ANOVA for variance, and Mahalanobis D2 statistics for grouping genotypes into clusters.
It covers the experimental findings on mean performance, trait correlations, direct and indirect effects of yield components, and the resulting genetic divergence among genotypes.
Key terms include Genetic divergence, Heritability, Yield components, Path analysis, and Bottle gourd [Lagenaria siceraria].
The genotypes were categorized into three distinct clusters using the Tocher method based on their genetic distances calculated from Mahalanobis D2 statistics.
Fruit length was identified as the primary factor contributing to genetic divergence, accounting for approximately 32.41% of the variation.
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