Article Sidebar

Submitted
November 11, 2021
Accepted
March 20, 2022
Published
May 29, 2022
Download
PDF
Statistic
Read Counter : 145 Download : 278

Downloads

Download data is not yet available.

Main Article Content

Abstract

The genetic diversity of yield and yield attributing characteristics was explored in this research. In the topical study, fifty-two rice genotypes including four checks were used under three environmental conditions i.e. irrigated (IR), rainfed (RF) and terminal stage drought (TSD) conditions. The prevalence of genetic divergence was evaluated using clustering and Principal component analysis (PCA) was used to determine the relative contribution of various traits. To fulfill the aim of the study, fifty-two genotypes were grouped into three distinct and non-overlapping clusters among these 3 clusters, cluster-I was the largest with the highest number of genotypes i.e. 47, 49 and 49 under IR, RF and TSD conditions, respectively. The highest average intra-cluster distance was observed in cluster-I, also the genotypes showed high variability under all three conditions. The highest inter-cluster distance between the cluster-II and cluster-III (IR and TSD) and cluster-I and cluster-II (RF) was observed, indicated that genotypes from the group should be considered for direct use as parents in hybridization programme to produce high yield. Only five of the 13 principal components (PCs) have been considered in the study based on the Eigen values and variability criteria. From the complex matrix it was revealed that the first-PC accounted for the highest variability. Genotypes which fall under a common PC were observed to be the most important factor for grain yield.

Keywords

Cluster analysis PCA yield

Article Details

License

Copyright (c) 2022 Environment Conservation Journal

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite
Prakash, H. P. ., Rawte , S. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ., Saxena , R. R. . . . . . . . . . . . . . . . . . . . . . . . . . ., Verulkar, S. B. . . . . . . ., & Saxena, R. R. . . . . . . . . . . . . . . . . . . . . . . . . (2022). Assessing the genetic diversity for yield traits in rice (Oryza sativa L.) genotypes using multivariate analysis under controlled and water stress conditions. Environment Conservation Journal, 23(3), 202–210. https://doi.org/10.36953/ECJ.9692201
Download Citation
Endnote/Zotero/Mendeley (RIS)
BibTeX
Crossref
Scopus
Google Scholar
Europe PMC

References

  1. Amegan, E., Efisure, A., Akoroda, M., Shittu, A., & Tonegnikes, F. (2020). Genetic Diversity of Korean Rice (Oryza sativa L.) Germplasm for Yield and Yield Related
  2. Traits for Adoption in Rice Farming System in Nigeria. International Journal of Genetics and Genomics, 8(1), 19-28.
  3. Bekis, D., Mohammed, H., & Belay, B. (2021). Genetic divergence and cluster analysis for yield and yield contributing traits in lowland rice (Oryza sativa L.) genotypes at Fogera, NorthWestern Ethiopia. International Journal of Advanced Research in Biological Sciences, 8(5), 1-11.
  4. Brejda, J. J., Karlen, D. L., Smith, J. L., & Allan, D. (2000). Identification of regional soil quality factors and indicators: II. Northern Mississippi Loess Hills and Palouse Prairie. Soil Science Society of America Journal, 64, 10.2136/sssaj2000.6462125x. DOI: https://doi.org/10.2136/sssaj2000.6462125x
  5. Burman, M., Nair, S. K., & Sarawgi, A. K. (2019). Genetic Diversity Analysis in Unique Rice (Oryza sativa L.) of Chhattisgarh, India. International Journal of Current Microbiology and Applied Sciences, 8(11), 1096-1099. DOI: https://doi.org/10.20546/ijcmas.2019.811.129
  6. Burman, M., Nair, S.K., & Sarawgi, A.K. (2021). Principal Component Analysis for Yield and its Attributing Traits in Aromatic Landraces of Rice (Oryza sativa L.). International Journal of Bio-resource and Stress Management, 12(4), 303-308. DOI: https://doi.org/10.23910/1.2021.2348a
  7. Dhakal, A., Pokhrel, A., Sharma, S., & Poude, A. (2020). Multivariate Analysis of Phenotypic Diversity of Rice (Oryza sativa L.) Landraces from Lamjung and Tanahun Districts, Nepal. International Journal of Agronomy, 1-8. DOI: https://doi.org/10.1155/2020/8867961
  8. Gaur, A., Parray, G. A., Shikari, A. B., & Najeeb, S. (2019). Capturing the Genetic Diversity for Grain Quality Attributes in a Set of Temperate Rice (Oryza sativa L.) Germplasm by Cluster Analysis and the Assessment of Wx gene Polymorphism. International Journal of Pure and Applied Bioscience, 7(3), 67-73. DOI: https://doi.org/10.18782/2320-7051.7122
  9. Iqbal, T., Hussain, I., Ahmad, N., Nauman, M., Ali, M., Saeed, S., Zia, M., & Ali, F. (2018). Genetic Variability, Correlation and Cluster Analysis in Elite lines of Rice. Journal of Scientific Agriculture, 2, 85-91. DOI: https://doi.org/10.25081/jsa.2018.v2.900
  10. Kumari, N., Kumar, R., Kumar, A., & Singh, U.K. (2019). Principal component analysis of morpho-physiological traits in mutants lines of rice under submerged condition. The Pharma Innovation Journal, 8(4), 402-407.
  11. Raj, P., Kumar, A., Satyendra., Singh, S. P., Kumar, M., Kumar, R. R., Prasad, B. D., & Kumar S. (2020). Principal Component Analysis for Assessment of Genetic Diversity in Rainfed Shallow Lowland Rice (Oryza sativa L.). Current Journal of Applied Science and Technology, 39(48), 256-261. DOI: https://doi.org/10.9734/cjast/2020/v39i4831228
  12. Ricepedia, (2020). Rice as food. http://ricepedia.org/rice-as-food.
  13. Shrestha, J., Subedi, S., Kushwaha, U., & Maharjan, B. (2021). Evaluation of growth and yield traits in rice genotypes using multivariate analysis. Heliyon, 7. DOI: https://doi.org/10.1016/j.heliyon.2021.e07940
  14. Singh, P., & Narayanan, S. S. (2013). Assessment of Polygenic Variation. Biometrical Techniques in Plant Breeding, 15-23.
  15. Sudeepthi, K., Srinivas, T., Kumar, B. R., Jyothula, D., & Umar, S. N. (2020). Genetic Divergence Studies for anaerobic Germination Traits in Rice (Oryza sativa L.). Current Journal of Applied Science and Technology, 39(1), 71-78. DOI: https://doi.org/10.9734/cjast/2020/v39i130482
  16. USDA, (2020). Rice Sector at a Glance. https://www.ers.usda.gov/topics/crops/rice/rice-sector-at-a-glance/.