Monday 31 January 2022

Characterization of Soybean Genotypes on the Basis of Yield Attributing Traits and SSR Molecular Markers | Chapter 07 | Innovations in Science and Technology Vol. 3

 Soybean is well-designed to be a main crop and a vital source of nutrition for both humans and animals. The current study was carried out to distinguish between different soybean genotypes based on morpho-physiological parameters and SSR genetic markers. Data for various morpho-physiological variables were collected from experiments carried out in the field using the RBD design, while molecular work was carried out in the lab using 32 microsatellite markers to see whether there was any conceivable variation among different soybean genotypes. The incidence of significant magnitude of variability was discovered by morphophysiological inquiry. The genotypes were sorted into major and minor clusters using a phylogenetic tree based on morpho-physiological features. There were fifty genotypes in the major cluster, but only three genotypes in the smaller cluster. The marker Satt520 had the most genetic diversity (0.66) and the lowest genetic diversity (0.037) across polymorphic 32 microsatellite markers, with an average of 0.35. The highest PIC value was 0.59, which was planned by the same marker, Satt520, and the lowest was 0.036, which was prearranged by marker Satt557. The average PIC value was 0.32, while the average major allele frequency was 0.69. Data based on microsatellite markers also grouped the genotypes into one major and one minor cluster. The presence of genetic variability among genotypes under examination is confirmed by a molecular analysis based on microsatellite markers. The results of this study could help to improve soybean genotypes and promote high-yielding varieties by incorporating a variety of genotypes with good agronomical qualities into a breeding plan.


Author(S) Details

Nishi Mishra
Department of Plant Molecular Biology and Biotechnology, College of Agriculture, Rajmata Vijayraje Scindia Agricultural University, Gwalior 474002, India

Manoj Kumar Tripathi
Department of Plant Molecular Biology and Biotechnology, College of Agriculture, Rajmata Vijayraje Scindia Agricultural University, Gwalior 474002, India.

Sushma Tiwari
Department of Plant Molecular Biology and Biotechnology, College of Agriculture, Rajmata Vijayraje Scindia Agricultural University, Gwalior 474002, India.

Niraj Tripathi
Jawaharlal Nehru Agricultural University, Jabalpur 482004, India.

Neha Gupta
Department of Plant Molecular Biology and Biotechnology, College of Agriculture, Rajmata Vijayraje Scindia Agricultural University, Gwalior 474002, India.

Akash Sharma
Department of Plant Molecular Biology and Biotechnology, College of Agriculture, Rajmata Vijayraje Scindia Agricultural University, Gwalior 474002, India.

Ravindra Singh Solanki
Department of Plant Molecular Biology and Biotechnology, College of Agriculture, Rajmata Vijayraje Scindia Agricultural University, Gwalior 474002, India.

Sharad Tiwari
Biotechnology Centre, Jawaharlal Nehru Agricultural University, Jabalpur 482004, India.

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