Groundnut, the 'king' of oilseeds is commonly known as “peanut” or “monkey nut” or ‘Wonder nut” or “poor man’s cashew nut”. It belongs to subfamily Papilionaceae of the family Fabaceae. It is a self-pollinating crop with basic chromosome number ten and genome size 2800 Mb/lC. Peanut is grown for its high amount of edible oil and a reasonable amount of digestible protein. It is the richest plant source of thiamine and also rich in niacin, which is low in cereals. Peanut is also valuable source of vitamins E, K and B. Groundnut kernels are consumed as raw, boiled, roasted or fried products and also used in a variety of culinary preparations like peanut candies, butter, peanut milk and chocolates. Cake left after extraction of the oil is an excellent feed for livestock. Vegetative parts of groundnut like leaf and stem are good source of nutritionally high quality fodder for farm animals. Groundnut is believed to be originated from South America. Peanut is cultivated around the world in the tropical, sub-tropical and temperate climatic conditions between 40º South and 40º North of equator. The crop is grown in more than 100 countries worldwide. The major groundnut producers are China, India, Nigeria, USA, Senegal, Myanmar, Indonesia and the Sudan. Groundnut is grown on nearly 20.88 million ha worldwide with a total production of 34.66 million tons and an average yield of 1660 kg /ha. Developing countries account for over 97 per cent of world groundnut area and 95 per cent of total production. India is the second largest groundnut producing nation in the world with an area of about 5.53 million ha with a production and productivity of 9.67 million tones and 1750 kg/ha, respectively. Currently, six states viz., Gujarat, Andhra Pradesh, Karnataka, Tamil Nadu, Maharashtra and Rajasthan accounts for more than 90 per cent of the groundnut area and production of the country.
Table of Contents
1. INTRODUCTION
2. REVIEW OF LITERATURE
2.1 Variability parameters
2.2 Correlation coefficients & Path coefficient
2.3 Molecular characterization
3. MATERIALS AND METHODS
4. EXPERIMENTAL RESULTS AND DISCUSSION
5. SUMMARY AND CONCLUSION
Research Objectives and Focus
This study aims to assess the genetic diversity and character associations in groundnut (Arachis hypogaea L.) to facilitate effective crop improvement programs. The research investigates variability, correlation, and path coefficients for yield-contributing traits and utilizes molecular profiling to evaluate genetic relationships among selected genotypes.
- Estimation of genetic variability in groundnut genotypes regarding yield and its components.
- Analysis of genotypic and phenotypic correlations among economic traits.
- Application of path coefficient analysis to determine direct and indirect influences on yield.
- Molecular characterization and profiling of selected groundnut genotypes using RAPD markers.
- Evaluation of genetic diversity through cluster analysis based on morphological and molecular data.
Excerpt from the Book
2.1 VARIABILITY PARAMETERS
The existence of genetic variability is prerequisite for any crop improvement programme; however, loss of locally adapted variable material has been rapid which, need to be maintained. The variability existing among homozygous genotypes/ population is generally considered as free variability, which can be exploited for genetic advancement through selection. This together with information on heritability and genetic advance would be rewarding in designing an effective breeding programme. The genetic variability is determined with the help of certain genetic parameters viz., genotypic coefficient of variation (GCV), phenotypic coefficient of variation (PCV) and heritability estimates.
Heritability is the heritable portion of phenotypic variance and it is a good index of extent of transmission of a character from parents to their off-springs. Heritability in broad sense is the ratio of genotypic variance to phenotypic variance. Its estimation is important because it determines the expressivity of genes being carried by a genotype. If the heritability of a character is high, the phenotypic value provides a fairly close measure of the genotypic value and thus breeder can base his selection on the phenotypic performance. There by the knowledge of heritability helps the plant breeder in pre-assessing the results of selection for a particular character. However, for predicting the effect of selection, heritability estimates along with genetic advance are more useful than the heritability estimates alone. The review of literature pertaining to variability parameters in groundnut is presented in the subsequent paragraphs.
Summary of Chapters
1. INTRODUCTION: Provides an overview of groundnut as a crucial oilseed crop and outlines the research objectives, emphasizing the need for genetic improvement through trait association and molecular profiling.
2. REVIEW OF LITERATURE: Examines existing research on variability parameters, correlation and path coefficients, and molecular characterization methods in groundnut to provide a context for the current investigation.
3. MATERIALS AND METHODS: Describes the experimental setup, site conditions, the 30 groundnut genotypes used, and the methodologies applied for phenotypic observation, DNA extraction, and statistical analysis.
4. EXPERIMENTAL RESULTS AND DISCUSSION: Details the findings regarding genetic variability, correlation analyses, path coefficient analysis, and RAPD-based molecular profiling of the studied genotypes.
5. SUMMARY AND CONCLUSION: Synthesizes the experimental findings, confirming the importance of specific yield-contributing traits and the utility of RAPD markers in assessing genetic diversity for breeding programs.
Keywords
Groundnut, Arachis hypogaea L., Genetic variability, GCV, PCV, Heritability, Genetic gain, Correlation, Path coefficient, RAPD markers, DNA profiling, Cluster analysis, UPGMA, Yield, Molecular diversity.
Frequently Asked Questions
What is the primary focus of this research?
The research focuses on the genetic improvement of groundnut by analyzing the variability, correlation, and path coefficients of yield-related traits, complemented by molecular profiling to understand genetic diversity.
What are the central thematic areas?
The study centers on three key areas: assessing quantitative genetic parameters (variability and heritability), determining trait associations (correlation and path analysis), and evaluating genetic relationships using molecular marker technology.
What is the ultimate goal of the investigation?
The primary goal is to identify superior groundnut genotypes and selection criteria based on morphological and molecular markers that can be effectively utilized in breeding programs to enhance pod and kernel yield.
Which scientific methods are employed?
The study utilizes a randomized block design for field trials, standard statistical models for ANOVA, correlation, and path analysis, and RAPD (Random Amplified Polymorphic DNA) technology for molecular characterization.
What does the main body of the work cover?
The main body covers the detailed methodology, the presentation of experimental results for morphological traits, the statistical evaluation of genetic variability, and the discussion of findings from RAPD analysis used for genetic mapping and grouping.
What keywords define this work?
Key terms include groundnut (Arachis hypogaea L.), genetic variability, correlation analysis, path coefficient, RAPD markers, DNA profiling, and breeding strategies.
What role does DNA profiling play in this study?
DNA profiling using RAPD markers provides a molecular basis for assessing genetic diversity among groundnut genotypes, which is independent of environmental factors and aids in identifying distinct genetic groups.
Why is path coefficient analysis important here?
Path coefficient analysis is critical because it separates the correlation coefficients into direct and indirect effects, allowing breeders to clearly identify the most influential traits that contribute to yield, thus refining selection strategies.
- Quote paper
- Namrata (Author), 2015, Character Association and DNA profiling in Groundnut, Munich, GRIN Verlag, https://www.grin.com/document/444451
