Exploring genetic diversity and trait associations with foliar blast disease among parental lines in pearl millet [Pennisetum glaucum (L.) R Br]
DOI:
https://doi.org/10.25081/jp.2024.v16.8797Keywords:
Association studies, Blast disease, Diversity, Genetic parameters, Pearl milletAbstract
Thirty-seven pearl millet genotypes were evaluated for morphometric traits and disease incidence and severity during summer and kharif, 2022. Pooled ANOVA revealed significant variation were present in all genotypes across different season. Association studies identified high positive correlations between grain yield and traits such as single earhead weight, single ear head threshed weight, and test weight, with direct and indirect effects on grain yield through key characters. E2 (kharif – 2022) showed favourable conducive weather parameters for disease infection throughout the growing season compared to E1. The higher PCV relative to GCV for disease incidence underscores the environmental influence in disease resistance programs. Negative correlations between disease metrics and yield traits highlight blast disease’s detrimental effect on grain yield. Disease severity indirectly suggests environmental factors may enhance its impact. Disease incidence exhibited a direct negative impact on yield, supported by negative genotypic correlations. The line, PT 6679, exhibit both high yield and highly resistant to blast. Restorer lines (PT 6029, PT 6067, PT 6300, PT 6707, PT 7068) and B lines (ICMB 01666, ICMB 02777) showed promising yield attributes with high to moderate disease resistant for future breeding programs. In D2 analysis, five clusters revealed distinct genetic diversity with Clusters II and V indicating strong hybrid vigor, while Clusters IV (PT 6946, ICMB 06111) and V (ICMB 93111, ICMB 95444) excelled in disease resistance. Clusters I (PT 6029, PT 7068) and II (GMR 58) exhibited superior grain yield, particularly Cluster I, had potential restorer lines for future breeding. Clear differentiation between B and R lines underscored genetic distinctions in trait expression, validating the use of morphological data for assessing genetic diversity.
Downloads
References
Annamalai, R., Aananthi, N., Pillai, M. A., & Leninraja, D. (2020). Assessment of Variability and Character Association in Pearl Millet [Pennisetum glaucum (L.) R.Br.]. International Journal of Current Microbiology and Applied Sciences, 9(6), 3247-3259. https://doi.org/10.20546/ijcmas.2020.906.388
Anuradha, N., Satyavathi, C. T., Bharadwaj, C., Sankar, M., Singh, S. P., & Pathy, T. L. (2018). Pearl millet genetic variability for grain yield and micronutrients in the arid zone of India. Journal of Pharmacognosy and Phytochemistry, 7(1), 875-878.
DES. (2021). Directorate of Economics and Statistics. Government of India (2021-22). Seasonal Crop Report 2021. Retrieved from https://desagri.gov.in/
Gangashetty, P. I., Riyazaddin, M., Sanogo, M. D., Inousa, D., Issoufou, K. A., Asungre, P. A., Sy, O., Govindaraj, M., & Ignatius, A. I. (2021). Identification of High-Yielding Iron-Biofortified Open-Pollinated Varieties of Pearl Millet in West Africa. Frontiers in Plant Science, 12, 688937. https://doi.org/10.3389/fpls.2021.688937
Govindaraj, M., Rai, K. N., Kanatti, A., Upadhyaya, H. D., Shivade, H., & Rao, A. S. (2020) Exploring the genetic variability and diversity of pearl millet core collection germplasm for grain nutritional traits improvement. Scientific Reports, 10, 21177. https://doi.org/10.1038/s41598-020-77818-0
Khandelwal, V., Narasimhulu, R., Choudhary, K. B., Rani, R., Junjhadia, S., Bhanwariya, S., & Satyavathi, C. T. (2023). Multivariate Analysis in Pearl Millet Parental Lines for Diversity Estimation and Association Study of Yield Contributing Traits for Genetic Improvement of Hybrids. Annals of Arid Zone, 62(1), 65-75. https://doi.org/10.59512/aaz.2023.62.1.7
Koutroubas, S. D., Katsantonis, D., Ntanos, D. A., & Lupotto, E. (2009). Blast disease influence on agronomic and quality traits of rice varieties under Mediterranean conditions. Turkish Journal of Agriculture and Forestry, 33(5), 487-494. https://doi.org/10.3906/tar-0812-15
Kumar, R., Appunu, C., Mahadeviah, C., Sreenivasa, V., Waldia, R. S., Meena, M. R., & Chhabra, M. L. (2013). Impact of Ascochyta blight disease on the expression of biochemical compounds in chickpea Legume Research, 36(3), 268-270.
Kumar, R., Bansidhar, Singh, U. K., Mandal, R. K., & Choudhary, V. K. (2022) Association studies between resistance to brown spot disease and yield related traits in rice. The Pharma Innovation Journal, 11(12), 4535-4538.
Kyi, S., Win, K. K., Than, H., Win, S., & Htwe, N. M. (2021). Effect of different growing seasons on correlation and path coefficients of yield and yield components in maize (Zea mays L.). International Journal of Advance Research, 9(1), 243-250. https://doi.org/10.21474/IJAR01/12301
Namrata, Singh, R. P., Verma, R., Bisen, P., Kumar, M., Pandurang, A., & Choudhary, M. (2019). Genetic variability and association studies for blast disease and yield traits in F2 population of cross hur 3022 × tetep in rice (Oryza sativa L.). Plant Archives, 19(2), 3241-3246.
Narasimhulu, R., Reddy, B. S., Satyavathi, C. T., & Ajay, B. C. (2021) Performance, genetic variability and association analysis of pearl millet yield attributing traits in Andhra Pradesh’s arid region. Chemical Science Review and Letters, 10(38), 177-182.
Patil, K. S., Gupta, S. K., Dangi, K. S., Sashibhushan, D., Balram, M., & Ramesh, T. (2018). Panicle traits and plant height are important selection indices to enhance productivity in pearl millet [Pennisetum glaucum (L.) R. Br.] Populations. International Journal of Current Microbiology and Applied Sciences, 7(12), 306-312. https://doi.org/10.20546/ijcmas.2018.712.037
Rajpoot, P., Tripathi, M. K., Solanki, R. S., Tiwari, S., Tripathi, N., Chauhan, S., Pandya, R. K., & Khandelwal, V. (2023). Genetic variability and multivariate analysis in pearl millet (Pennisetum glaucum (L.) R. Br.) germplasm lines. The Pharma Innovation Journal, 12(4), 216-226.
Ram, M., Singh, S., Singh, P., Singh, A. K., & Shama, P. (2014). Genetic variability analysis for yield and yield contributing traits in pearl-millet (Pennisetum glaucum L.). Trends in Biosciences, 7(17), 2491-2495.
Ramya, A. R., Ahamed, M. L., & Srivastava, R. K. (2017). Genetic diversity analysis among inbred lines of pearl millet [Pennisetum glaucum (L.) R. Br.] based on grain yield and yield component characters. International Journal of Current Microbiology and Applied Sciences, 6(6), 2240-2250. https://doi.org/10.20546/ijcmas.2017.606.266
Rao, C. R. (1952). Advanced statistical methods in biometric research. New York, USA: John Wiley and Sons.
Rasitha, R., Iyanar, K., Ravikesavan, R., & Senthil, N. (2019). Studies on genetic parameters, correlation and path analysis for yield attributes in maintainer and restorer lines of pearl millet [Pennisetum glaucum (L.) R. Br.]. Electronic Journal of Plant Breeding, 10(2), 382-388. https://doi.org/10.5958/0975-928X.2019.00049.8
Rasitha, R., Iyanar, K., Ravikesavan, R., & Senthil, N. (2020). Assessment of genetic diversity in parental lines of pearl millet [Pennisetum glaucum (L). R. Br] for yield and yield related traits. International Journal of Current Microbiology and Applied Sciences, 9(12), 1575-1582. https://doi.org/10.20546/ijcmas.2020.912
Reddy, P. S., Satyavathi, C. T., Khandelwal, V., Patil, H. T., Gupta, P. C., Sharma, L. D., Mungra, K. D., Singh, S. P., Narasimhulu, R., Bhadarge, H. H., Iyanar, K., Tripathi, M. K., Yadav, D., Bhardwaj, R., Talwar, A. M., Tiwari, V. K., Kachole, U. G., Sravanti, K., Priya, M. S., Athoni, B. K., Anuradha, N., Govindaraj, M., Nepolean, T., & Tonapi, V. A. (2021). Performance and Stability of Pearl Millet Varieties for Grain Yield and Micronutrients in Arid and Semi-Arid Regions of India. Frontiers in Plant Science, 12, 670201. https://doi.org/10.3389/fpls.2021.670201
Sharma, B., Chugh, L. K., Sheoran, R. K., Singh, V. K., & Sood, M. (2018). Study on genetic variability, heritability and correlation in pearl millets germplasm. Journal of Pharmacology and Phytochemistry, 7(6), 1983-1987.
Sharma, S., Sharma, R., Govindaraj, M., Mahala, R. S., Satyavathi, C. T., Srivastava, R. K., Gumma, M. K., Kilian, B. (2020). Harnessing wild relatives of pearl millet for germplasm enhancement:Challenges and opportunities. Crop Science, 61(1), 177-200. https://doi.org/10.1002/csc2.20343
Shashibhushan, D., Kumar, C. V. S., & Kondi, R. K. R. (2022). Genetic diversity analysis of Pearl Millet germplasm by cluster analysis. Emergent Life Science Research, 8(1), 70-74. https://doi.org/10.31783/elsr.2022.817074
Subbulakshmi, K., Sumathi, P., & Babu, C. (2018). Association Study of Grain Yield and Nutritional Quality Traits in Pearl Millet [Pennisetum glaucum (L.) R. Br.] Hybrids. International Journal of Current Microbiology and Applied Sciences, 7(10), 2035-2039. https://doi.org/10.20546/ijcmas.2018.710.235
Subbulakshmi, M., Ganesan, K. N., Iyanar, K., Sivakumar, S. D., & Ravichandran, V. (2022) Genetic Studies on Variability, Heritability and Traits association for Green Fodder Yield and Quality in Fodder Pearl Millet [Pennisetum glaucum (L.). Biological Forum – An International Journal, 14(2), 1248-1254.
Talawar, A. M., Girish, G., Channabasavanna, A. S., & Kitturmath, M. S. (2017). Studies on genetic variability, correlation and path analysis in pearl millet (Pennisetum glaucum L.) germplasm lines. Agricultural Science Digest, 37(1), 75-77. https://doi.org/10.18805/asd.v0iOF.7326
Thakur, R. P., Sharma, R., Rai, K. N., Gupta, S. K., & Rao, V. P. (2009). Screening techniques and resistance sources for foliar blast in pearl millet. Journal of SAT Agricultural Research, 7, 1-5.
Walker, J. C. (1923). Disease resistance to onion smudge. Journal of Agricultural Research, 24(12), 1019-1040.
Published
How to Cite
Issue
Section
Copyright (c) 2024 R. Rasitha, R. Kalaiyarasi, K. Iyanar, N. Senthil, I. Johnson
This work is licensed under a Creative Commons Attribution 4.0 International License.
.