Analysis of Genetic Differences in fatty Acids and Oil Contents among Brassica juncea (Linn.) Czern & Coss Genotypes | Chapter 11 | Research Developments in Science and Technology Vol. 1

 The experiment was designed to determine erraticism among 188 Indian mustard genotypes based on various biochemical characteristics such as palmitic, oleic, linoleic, linolenic, and erucic acids, as well as oil composition.

Experiment was carried out at Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior, India, Department of Genetics and Plant Breeding, College of Agriculture, Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Rajmata Vijayaraje Scindia Krishi Vishwa

The presence of a significant amount of variation across selected Indian mustard genotypes was determined by analysis of variance, implying improved prospects for their improvement. Oleic acid has the highest genotypic and phenotypic coefficient of variation, followed by erucic and palmitic acids. Heritability and genetic advancement were determined by erucic, oleic, palmitic, linoleic, and linolenic acids. Erucic acid has a strong negative association with palmitic, oleic, linoleic, and linolenic acids. Palmitic acid had the most positive direct effect on erucic acid in both genotypic and phenotypic path coefficient studies, while linoleic, oleic, linolenic acids, and oil content had the highest negative direct effect on erucic acid. The genotypes were clustered into eighteen different groups using genetic deviation and Euclidean distance clustering. Erucic acid was found to be low in 9 genotypes, moderate in 57 genotypes, and higher in 122 genotypes when all biochemical strictures were examined. During a group analysis of qualitative indicators, a severe inter cluster gap between cluster 18 (Karishma) and cluster 12 was discovered (Maya). As a result, these genotypes could be used as parentages in Indian mustard breeding to improve a variety of qualitative indices.

Author(S) Details

Chitralekha Shyam
Department of Genetics & Plant Breeding, College of Agriculture, RVS Agricultural University, Gwalior, 474002 M. P, India.

Manoj Kumar Tripathi
Department of Genetics & Plant Breeding, College of Agriculture, Rajmata Vijyaraje Scindia Krishi Vishwa Vidyalaya, Gwalior-474002 M.P, India and Department of Plant Molecular Biology & Biotechnology, College of Agriculture, Rajmata Vijyaraje Scindia Krishi Vishwa Vidyalaya, Gwalior-474002 M.P, India.

Sushma Tiwari
Department of Plant Molecular Biology & Biotechnology, College of Agriculture, Rajmata Vijyaraje Scindia Krishi Vishwa Vidyalaya, Gwalior-474002 M.P, India.

Niraj Tripathi
Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur-482004, India.

R. S. Sikarwar
Department of Genetics & Plant Breeding, College of Agriculture, RVS Agricultural University, Gwalior, 474002 M. P, India.

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Morpho-physiological Variations and Genetic Components Analysis in Brassica juncea (Linn.) Czern & Coss | Chapter 10 | Research Developments in Science and Technology Vol. 1

 Assessment of morpho-physiological genetic diversity and study of genetic components may play an important role in the preservation and enhancement of a vulnerable crop species.

The current study included 196 genotypes of Indian mustard, as well as controls. Various morpho-physiological parameters were used to evaluate the genotypes. All of the genotypes were grown in a two-replication randomised block configuration.

Field experiments were conducted in Rabi 2016-17 and 2017-18 at the experimental field of the Department of Genetics & Plant Breeding, College of Agriculture, Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior, Madhya Pradesh, India.

Methodology: The inquiry was aimed to record many morphological and physiological data that are important in distinguishing the thorny genotypes.

Seed yield per plant had the highest genotypic and phenotypic coefficients of disagreement, followed by harvest index and number of silique per plant, according to the current study. Seed yield per plot had the highest heritability and genetic advance, followed by harvest index, biological yield per plot, days to 50% flowering, main raceme length, number of silique per plant, seed yield per plant, number of seeds per silique, 1000-seed weight, and number of silique per the main raceme.

Conclusions: Principal component analysis identified 15 principal components, while cluster analysis identified 16 clusters. Cluster 9 and Cluster 16 had the greatest inter-cluster distance, indicating that the hybridization programme involving parents from these clusters is likely to have a greater incidence of better-wanted combination(s) for the development of beneficial genetic materials.

Author(S) Details

Chitralekha Shyam
Department of Genetics & Plant Breeding, College of Agriculture, RVS Agricultural University, Gwalior, 474002 M. P, India.

M. K. Tripathi
Department of Genetics & Plant Breeding, College of Agriculture, RVS Agricultural University, Gwalior, 474002 M. P, India.

Sushma Tiwari
Department of Genetics & Plant Breeding, College of Agriculture, RVS Agricultural University, Gwalior, 474002 M. P, India.

Niraj Tripathi
Directorate of Research Services, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur 482004, India.

R. S. Sikarwar
Department of Genetics & Plant Breeding, College of Agriculture, RVS Agricultural University, Gwalior, 474002 M. P, India.

View Book:- https://stm.bookpi.org/RDST-V1/article/view/6326