Dissection of genetic variation and evaluation of yield and key agriculturally important traits in Barnyard millet (Echinochloa frumentaceae (Roxb.) Link) under typical sodicity stress
DOI:
https://doi.org/10.14719/pst.4957Keywords:
barnyard millet, genetic parameters, heritability, PCA, sodicity, soil stressAbstract
Barnyard millet, a climate-resilient small millet, is a valuable feed source for both livestock and humans. Sodicity is an increasingly important soil stress under changing climatic conditions. The present investigation comprised 74 germplasm and 3 check varieties MDU1, CO(KV)2 and ATL1 evaluated under sodic soil using Augmented Complete Block Design. The analysis of variance revealed the presence of significant differences among the genotypes for all 17 traits. Genetic variability estimates, such as PCV, GCV, heritability and genetic advance, were high for all the traits except days to maturity. This suggests that these traits are governed by additive gene action, which favours the effective selection of these traits. Association analysis revealed that flag leaf length, days to maturity and single-ear head weight showed significant and positive associations with single plant yield. Therefore, the selection of these traits can improve the yield of barnyard millet under sodic soil. The principal component analysis (PCA) revealed that five significant principal components explained 70.19% of the total variation, with the first 2 principal components attributed to 48.99% of variation which are majorly attributed to days to 50% flowering, days to maturity, flag leaf length, plant height, single-ear head weight, number of racemes per panicle and number of tillers. Hierarchical cluster analysis grouped the genotypes into 5 clusters with the accessions in cluster I exhibiting high tillering ability and yield potential. Therefore, the accessions in cluster I can be utilized as parents in the hybridization programme for enhancing the yield of barnyard millet.
Downloads
References
Vetriventhan M, Azevedo VC, Upadhyaya HD, Nirmalakumari A, Kane-Potaka J, Anitha S, et al. Genetic and genomic resources and breeding for accelerating improvement of small millets: current status and future interventions. The Nucleus. 2020;63:217-39. https://doi.org/10.1007/s13237-020-00322-3
Mandal SU, Raju R, Kumar A, Kumar P, Sharma PC. Current status of research, technology response and policy needs of salt-affected soils in India-a review. J Indian Soc Coast Agric Res.2018;36(2):40-53. http://epubs.icar.org.in/ejournal/index.php/JISCAR/article/view/89004
Vigneshwari L, Vanniarajan C, Vetriventhan M, Hemavathy AT, Ramesh T, Meena S. Morpho-physiological characterization of barnyard millet mutants for salt tolerance. Electronic Journal of Plant Breeding. 2023;14(3):1147-57. 7. https://doi.org/10.37992/2023.1403.141
Hailu B, Mehari H. Impacts of soil salinity/sodicity on soil-water relations and plant growth in dry land areas: A review. J Nat Sci Res. 2021;12(3):1-10. https://doi.org/10.7176/JNSR/12-3-01
Renganathan VG, Vanniarajan C, Karthikeyan A, Ramalingam J. Barnyard millet for food and nutritional security: Current status and future research direction. Front Genet. 2020;11:500. https://doi.org/10.3389/fgene.2020.00500
Goron TL, Raizada MN. Genetic diversity and genomic resources available for the small millet crops to accelerate a New Green Revolution. Front Plant Sci. 2015;6:157. https://doi.org/10.3389/fpls.2015.00157
Kumari P, Kajla P, Kaushik D. Barnyard millet-composition, properties, health benefits and food applications. In: Sneh PB, Anil S, Manoj K, editors. Handbook of cereals, pulses, roots and tubers. Boca Raton: CRC Press; 2021. p. 149-56 . https://doi.org/10.1201/9781003155508
Bhatt D, Rasane P, Singh J, Kaur S, Fairos M, Kaur J, et al. Nutritional advantages of barnyard millet and opportunities for its processing as value-added foods. J Food Sci Technol. 2023;60(11):2748-60. https://doi.org/10.1007/s13197-022-05602-1
Saleh AS, Zhang Q, Chen J, Shen Q. Millet grains: nutritional quality, processing and potential health benefits. Compr Rev Food Sci Food Saf. 2013;12(3):281-95.https://doi.org/10.1111/1541-4337.12012
International Board for Plant Genetic Resources. Echinochloa millet descriptors: descriptors list for Echinochloa millets. Italy (Rome). IBPGR. 1983. https://hdl.handle.net/10568/72873
Aravind J, Mukesh Sankar S, Wankhede DP, Kaur V. Augmented RCBD: Analysis of augmented randomised complete block designs. R Package Version 0.1. 2020; https://aravind-j.github.io/augmentedRCBD/https://cran.r-project.org/package=augmentedRCBD
Wei T, Simko VR. Package ‘corrplot’: visualization of a correlation matrix version 0.90. 2021. https://github.com/taiyun/corrplot
Da Silva AR, Malafaia G, Menezes IP. Biotools: an R function to predict spatial gene diversity via an individual-based approach. Genet Mol Res. 2017;16(2):1-6 . https://doi.org/10.4238/gmr16029655
Dhanalakshmi R, Subramanian A, Thirumurugan T, Elangovan M, Kalaimagal T. Genetic variability and association studies in barnyard millet (Echinochloa frumentacea (Roxb.) Link) germplasm under sodic soil condition. Electronic Journal of Plant Breeding. 2019;10(2):430-39. https://www.ejplantbreeding.org/index.php/EJPB/article/view/3189
Schuppler U, He PH, John PC, Munns R. Effect of water stress on cell division and Cdc2-like cell cycle kinase activity in wheat leaves. Plant Physiology. 1998;117(2):667-78. https://doi.org/10.1104/pp.117.2.667
Fisher RA, Immer FR, Tedin O. The genetical interpretation of statistics of the third degree in the study of quantitative inheritance. Genetics. 1932;17(2):107. https://doi.org/10.1093/genetics/17.2.107
Robson DS. Applications of the k 4 statistic to genetic variance component analyses. Biometrics. 1956;12(4):433-44. https://doi.org/10.2307/3001682
Roy D. Plant breeding-Analysis and exploitation of variation. Indian J Genet Plant Breed. 2001;61(04):388-90. https://www.isgpb.org/journal/index.php/IJGPB/article/view/1820
Monika S, Vanniarajan C, Chandirakala R, Renuka R. Genetic variability and association analysis in the segregating population of extra early barnyard millet [Echinochloa frumentaceae (Roxb.)] involved crosses. Electronic Journal of Plant Breeding. 2021;12(3):841-48. https://doi.org/10.37992/2021.1203.117
Behera R, Singamsetti A, Rout S, Nanda S, Sharma SS. Genetic variability and character associations for grain yield and other secondary traits in little millet (Panicum sumatrense L.) at Eastern Ghats zone of Odisha. Electronic Journal of Plant Breeding. 2024;15(1):239-45 . https://doi.org/10.37992/2024.1501.028
Santhoshkumar C, Vaithiyalingan M, Murugan E, Renuka R, Hemalatha G. Genetic variability, trait association and diversity study in proso millet (Panicum miliaceum L.). Electronic Journal of Plant Breeding. 2023;14(3):1127-34 . https://doi.org/10.37992/2023.1403.140
Sharma M, Madhusudan K, Vasisth P, Gupta P. Characterization of novel germplasm for yield and yield related traits in finger millet (Eleusine coracana L. Gaertn). Annals of Agricultural Research. 2023;44(1):106-14. https://epubs.icar.org.in/index.php/AAR/article/view/134801
Pallavi NL, Venkatesh R, Ram BJ, BG S. Studies on correlation and path coefficient analysis in foxtail millet [Setaria italica (L.) BEAUV]. Int J Chem Stud. 2020;8(6):1941-46. https://doi.org/10.22271/chemi.2020.v8.i6ab.11048
Deepak MS, Vanniarajan C, Chandirakala R, Renuka R, Kanchana S. Genetic variability and association analysis in barnyard millet (Echinochloa frumentaceae) under multiple environments. Electronic Journal of Plant Breeding. 2023;14(2):458-63. https://doi.org/10.37992/2023.1402.045
Dinesh T, Kangabam S, Dash GK, Sil P, Panda KK, Mitra D, Purkaystha S. Evaluation of genetic variability in different genotypes of finger millet (Eleusine coracan L.) through path and multivariate analysis. Asian Journal of Soil Science and Plant Nutrition. 2024;10(3):82-106. https://doi.org/10.9734/ajsspn/2024/v10i3321
Soe W, Jeena AS, Pant U, Kumar A, Chaudhary D. Revealing genetic diversity in finger millet [Eleusine coracana (L.) Gaertn] germplasm collected from Uttarakhand hills. Electronic Journal of Plant Breeding. 2022;13(2):633-42 . https://doi.org/10.37992/2022.1302.079
Keerthana K, Chitra S, Subramanian A, Nithila S, Elangovan M. Studies on genetic variability in finger millet [Eleusine coracana (L.) Gaertn] genotypes under sodic conditions. Electronic Journal of Plant Breeding. 2019;10(2):566-69. https://doi.org/10.5958/0975-928X.2019.00071.1
Allard RW. Principles of plant breeding. USA: John Wiley and Sons Inc; 1960 . https://ui.adsabs.harvard.edu/link_gateway/1961SoilS.91..414A/doi:10.1097/00010694-196106000-00017
Kuraloviya M, Vanniarajan C, Sudhagar R, Vetriventhan M. Phenotypic diversity and stability of early maturing barnyard millet (Echinochloa sp.) germplasm for grain yield and its contributing traits. Indian J Exp Biol. 2022;60(12):918-24. https://doi.org/10.56042/ijeb.v60i12.36064
Lenka D, Misra B. Path-coefficient analysis of yield in rice varieties. The Indian Journal of Agricultural Sciences. 1973;43(4):376-79.cabidigitallibrary.org/doi/full/10.5555/19741619963
Singh A, Kashyap SC, Kumar B, Kumawat R. Deciphering trait association and their effect on yield, yield attributing and quality traits in barnyard millet [Echinochloa frumentacea (Roxb.)]. Int J Plant Soil Sci. 2023;35(22):718-24. https://doi.org/10.9734/ijpss/2023/v35i224183
Ghimire K, Pandey MP, Joshi BK, Ghimire SK, Manandhar HK, Gauchan D. Phenotypic diversity among finger millet (Eleusine coracana (L.) Gaertn.) landraces of Nepal. In Genetic Resources. 2023;4(8):1-14. https://doi.org/10.46265/genresj.MYZA2446
Nandini C, Bhat S, Saritha HS, Pandey CD, Pandey SP, Bai L, Gowda J. Characterization of barnyard millet (Echinocloa frumentaceae (Roxb.)) germplasm for quantitative traits to enhance its utilization. Electronic Journal of Plant Breeding. 2020;11(04):1066-72. https://doi.org/10.37992/2020.1104.173
Akilan M, Jeyaprakash P, Shanmuganathan M, Meena S, Rajanbabu V, Vanniarajan C. Comparative patterns of principal component and cluster analysis under sodicity and normal soil conditions in rice (Oryza sativa L.). Electronic Journal of Plant Breeding. 2023;14(3):893-901. https://doi.org/10.37992/2023.1403.101

Downloads
Published
Versions
- 04-03-2025 (2)
- 31-12-2024 (1)
How to Cite
Issue
Section
License
Copyright (c) 2024 S Muruganantham, Kannabiran Sakthivel, Chockalingam Vanniarajan, Paramasiwam Jeyaprakash, Thanakkan Ramesh, Sadayandi Geethanjali, Satheeshkumar Periasamy, Selvaraj Rathika, Anandan Annamalai

This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright and Licence details of published articles
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Open Access Policy
Plant Science Today is an open access journal. There is no registration required to read any article. All published articles are distributed under the terms of the Creative Commons Attribution License (CC Attribution 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited (https://creativecommons.org/licenses/by/4.0/). Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).