Principal Component and Path Analysis for Trait Selection Based on the Assessment of Diverse Lentil Populations Developed by Gamma-Irradiated Physical Mutation

Lentil is a notable legume crop valued for its high protein, vitamin, mineral, and amino acid (lysine and tryptophan) content. This crop has a narrow genetic base due to the formation of gene pool barriers during interspecific hybridization within and across species. Mutagenesis may be seen as a novel and alternative breeding technique for the production of new diversity. For the identification of new alleles, the creation of mutants followed by selection in subsequent generations would be necessary. Induction of mutation in lentil cv. Moitree by gamma rays therefore produced high variation for the majority of quantitative measures examined. Henceforth, principal component analysis (PCA) and path coefficient analysis were conducted to identify and exclude redundant mutant genotypes with similar traits as the success of breeding is dependent on understanding the relationship between morpho-agronomic traits and seed yield. As shown by the findings of this research, the total quantity of pods per mutant plant should be given considerable priority. The identified mutant genotypes, such as lines 24, 43, 28, 33, and 10, may be used as parents in future breeding or released directly following trials.

[1]  S. Ali,et al.  Gamma Rays and Sodium Azide Induced Genetic Variability in High-Yielding and Biofortified Mutant Lines in Cowpea [Vigna unguiculata (L.) Walp.] , 2022, Frontiers in Plant Science.

[2]  Mohammad Shabaz,et al.  Applicability of Internet of Things in Smart Farming , 2022, Journal of Food Quality.

[3]  Mohd Y. Rafii,et al.  Path-coefficient and correlation analysis in Bambara groundnut (Vigna subterranea [L.] Verdc.) accessions over environments , 2022, Scientific Reports.

[4]  Mohammed Wasim Bhatt,et al.  Experimental replacement of hops by mango in beer: production and comparison of total phenolics, flavonoids, minerals, carbohydrates, proteins and toxic substances , 2021, International Journal of System Assurance Engineering and Management.

[5]  Mohammad Shabaz,et al.  Metaheuristic and Machine Learning-Based Smart Engine for Renting and Sharing of Agriculture Equipment , 2021 .

[6]  S. Debnath,et al.  Study on character association in Lens culinaris medik , 2021 .

[7]  S. Debnath,et al.  Genetic analysis of yield and its attributing traits in lentil , 2020 .

[8]  H. Brinch-Pedersen,et al.  Induced Genetic Variation in Crop Plants by Random or Targeted Mutagenesis: Convergence and Differences , 2019, Front. Plant Sci..

[9]  R. Amin,et al.  Induction of morphological mutations and mutant phenotyping in black gram [Vigna mungo (L.) Hepper] using gamma rays and EMS , 2019, Vegetos.

[10]  B. Till,et al.  Genetic Variability Induced by Gamma Rays and Preliminary Results of Low-Cost TILLING on M2 Generation of Chickpea (Cicer arietinum L.) , 2018, Front. Plant Sci..

[11]  R. Amin,et al.  Morphological characterization of gamma rays induced multipodding mutant (mp) in lentil cultivar Pant L 406 , 2018, International journal of radiation biology.

[12]  M. Laimer,et al.  The Pattern and Distribution of Induced Mutations in J. curcas Using Reduced Representation Sequencing , 2018, Front. Plant Sci..

[13]  A. Abdelguerfi,et al.  Analysis of gamma rays induced variability in lentil (Lens culinaris Medik.) , 2018 .

[14]  Samiullah Khan,et al.  Assessment on induced genetic variability and divergence in the mutagenized lentil populations of microsperma and macrosperma cultivars developed using physical and chemical mutagenesis , 2017, PloS one.

[15]  Sarnam Singh,et al.  Trait selection by path and principal component analysis in Jatropha curcas for enhanced oil yield , 2016 .

[16]  A. Babbar,et al.  Studies on genetic variability, interrelationships association and path analysis in indigenous germplasm of Lentil in Madhya Pradesh, India , 2015 .

[17]  R. Amin,et al.  Assessment of genetic response and character association for yield and yield components in Lentil (Lens culinaris L.) population developed through chemical mutagenesis , 2015 .

[18]  S. Guha,et al.  Breeding Methods for Quality Improvement in Horticultural Crops , 2015 .

[19]  S. Afuape,et al.  Multivariate assessment of the agromorphological variability and yield components among sweet potato (Ipomoea batatas (L.) Lam) landraces , 2011 .

[20]  M. Miransari,et al.  Genetic diversity of wheat (Triticum aestivum L.) genotypes based on cluster and principal component analyses for breeding strategies , 2011 .

[21]  M. H. Khan,et al.  Studies on genetic variability and interrelationship among the different traits in Microsperma lentil (Lens culinaris Medik.) , 2010 .

[22]  M. A. Arain,et al.  Genetic manipulation of lentil through induced mutations. , 2010 .

[23]  M. Rakszegi,et al.  Mutation discovery for crop improvement. , 2009, Journal of experimental botany.

[24]  Sarvjeet Singh,et al.  Genetic studies for yield and component characters in large seeded exotic lines of lentil. , 2009 .

[25]  F. Muehlbauer,et al.  Plant morphology, anatomy and growth habit. , 2009 .

[26]  M. Materne,et al.  Breeding Methods and Achievements , 2007 .

[27]  M. Knox,et al.  AFLP analysis of the diversity and phylogeny of Lens and its comparison with RAPD analysis , 1996, Theoretical and Applied Genetics.

[28]  R. G. Turner Principles of Plant Breeding , 2001 .

[29]  N. Maxted,et al.  A re-assessment of the taxonomy of Lens Mill. (Leguminosae, Papilionoideae, Vicieae). , 2000 .

[30]  D. A. Kenny,et al.  Correlation and Causation , 1937, Wilmott.

[31]  D. R. Dewey,et al.  A CORRELATION AND PATH COEFFICIENT ANALYSIS OF COMPONENTS OF CRESTED WHEAT GRASS AND SEED PRODUCTION , 1959 .