Genetic analysis of yield and yield components and powdery mildew resistance in F4 and F5 populations of blackgram
DOI:
https://doi.org/10.14719/pst.5972Keywords:
blackgram, MGIDI, parent- progeny regression, powdery mildew resistanceAbstract
The present investigation aimed to evaluate 96 F4 and F5 genotypes, including two parental lines (VBN11 and LBG17) of blackgram, across two locations for yield, yield components, and resistance to powdery mildew. Pooled analysis, genetic variability assessment, correlation studies, parent-regression coefficient analysis, and the Multi-trait Genotype Ideotype Distance Index (MGIDI) were performed. Combined ANOVA revealed significant differences for all the traits studied. In the combined analysis, genotypes G3 and G1 exhibited desirable yields along with powdery mildew resistance. High heritability and genetic advance as a percentage of the mean (GAM) were observed for the traits such as single plant yield, the number of pods per plant, and percent disease index (PDI). Seed yield per plant recorded significant and positive correlations with the number of clusters per plant, number of pods per plant, number of seeds per pod, and 100-seed weight in both generations. Among the traits, PDI showed the highest regression coefficient. Principal component analysis exhibited four principal components (PCs) explaining the total variance in the F4 and F5 generations. The MGIDI index analysis revealed a total genetic gain for specific traits, including the number of pods per plant, single plant yield, and the number of capsules per plant in the F5 generation. Genotypes G18, G19, G4, and G38 were identified as valuable genetic resource through MGIDI, contributing significantly to blackgram improvement for high yield and powdery mildew resistance.
Downloads
References
Lewis GP, Schrire B, Mackinder B, Lock M. Legumes of the World [Internet]. Vol. 577. Royal Botanic Gardens Kew; 2005 [cited 2024 Sep 18]. Available from: https://library. wur.nl/ WebQuery/ titel/1774352
Publication: USDA ARS [Internet]. [cited 2024 Sep 24]. Available from: https://www.ars.usda.gov/research/publications/publication/?seqno115=349687
Sakila M, Pandiyan M. Realization of facts and profiteering of black gram through different breeding methods. IJCS. 2018;6(4):3359-69.
Singh L, Kumar A, Kaur S, Gill RK. Multivariate analysis of yield contributory traits for selection criteria in Urdbean (V. mungo L. Hepper). Electronic Journal of Plant Breeding. 2020;11(4):1134-42. https://doi.org/10.37992/2020.1104.183
Tiwari AK, Shivhare AK. Pulses in India: retrospect and prospects. Published by Director, Govt of India, Ministry of Agri and Farmers Welfare (DAC&FW), Directorate of Pulses Development, Vindhyachal Bhavan, Bhopal, MP[Internet]. 2016. Available from: https://dpd.gov.in/Book%20Document%20on%20Pulses%20in%20India%20Retrospect%20&%20Prospects.pdf
Legaspi BM, Catipon EM, Hubbell JN. AVRDC Philippine Outreach Program mungbean studies. 1978 [cited 2024 Sep 24]; Available from: https://www.cabidigitallibrary.org/doi/full/10.5555/19790785468
Punithavathy P. Generation mean analysis for powdery mildew resistance in black gram [Vigna mungo (L) Hepper]. Ph.D [Thesis]. Tamil Nadu Agricultural University, Coimbatore; 2023. 2-3.
Govintharaj P, Tannidi S, Swaminathan M, Sabariappan R. Effectiveness of selection, parent-offspring correlation and regression in bacterial blight resistance genes introgressed rice segregating population. Ciência Rural. 2017;47(9):e20160987. https://doi.org/10.1590/0103-8478cr20160987
Mayee CD, Datar VV. Phytopathometry. 1986 [cited 2024 Sep 24]; Available from: https://www.cabidigitallibrary.org/doi/full/10.5555/19861318793
Wheeler BEJ. An introduction to plant diseases. The English language Book Society and Wiley and Sons Ltd; 1969.
Olivoto T, Nardino M. MGIDI: Toward an effective multivariate selection in biological experiments. Bioinformatics. 2021;37(10):1383-89. https://doi.org/10.1093/bioinformatics/btaa981
Punithavathy P, Kumaresan D, Manivannan N, Boopathi NM, Senthilraja G. Genetics of powdery mildew disease resistance in black gram [Vigna mungo (L.) Hepper]. Electronic Journal of Plant Breeding. 2023;14(4):1421-24. https://doi.org/10.37992/2023.1404.155
Tamilzharasi M. Development and characterization of gamma and EMS induced mutants for powdery mildew resistance in black gram [Vigna mungo (L) Hepper]. Ph. D [Thesis], Tamil Nadu Agricultural University, Coimbatore; 2020.
Fondevilla S, Rubiales D. Powdery mildew control in pea. A review. Agron Sustain Dev. 2012;32:401-09. DOI10.1007/s13593-011-0033-1
Gomathi D, Shoba D, Ramamoorthy V, Pillai MA. Studies on variability, heritability, correlation and path analysis in segregating population of black gram [Vigna mungo (L.) Hepper]. Legume Research-An International Journal. 2023;46(6):690-94. https://doi.org/10.18805/lr-4411
Hemalatha K, Lal SS, Lal GM. Study on genetic variability and correlation in black gram (Vigna mungo L. Hepper). Journal of Pharmacognosy and Phytochemistry. 2017;6(4):674-76.
Panigrahi KK, Baisakh B. Variability and association studies in mutants and landraces of black gram (Vigna mungo L. Hepper) of Odisha. Research Journal of Agricultural Sciences. 2014;5(4):817-21.
Priyanka S, Rangaiah S, Showkath Babu BM. Genetic variability estimates of quantitative and qualitative traits in black gram. International Journal of Agriculture Sciences. 2016;8(40):1821-24.
Punithavathy P, Manivannan N, Subramanian A, Shanthi P, Prasad VBR. Genetic divergence of black gram genotypes (Vigna mungo (L.) Hepper). Electronic Journal of Plant Breeding. 2020;11(01):156-59. https://doi.org/10.37992/2020.1101.028
Konda CR, Salimath PM, Mishra MN. Genetic variability studies for productivity and its components in black gram [Vigna mungo (L.) Hepper]. Legume Research-An International Journal. 2009;32(1):59-61.
Priya L, Pillai MA, Shoba D. Genetic divergence, variability and correlation studies in black gram [Vigna mungo (L.) Hepper]. Legume Research-An International Journal. 2021;44(1):36-40. https://doi.org/10.18805/lr-4065
Singh UK, Bharti L. Genetic variability of mung bean for yield and yield contributing traits. Biological Forum – An International Journal. 2022;14(2):91-96.
Anuradha N, Patro T, Triveni U, Rao PJ, Rajkumar S. Character association and variability studies in black gram advanced breeding lines. Journal of Pharmacognosy and Phytochemistry. 2020;9(1):1880-82.
Chauhan MP, Mishra AC, Singh AK. Correlation and path analysis in urd bean. Legume Research-An International Journal. 2007;30(3):205-08.
Reddy D, Venkateswarlu O, Jyothi GL, Obaiah MC. Genetic parameters and inter-relationship analysis in black gram [Vigna mungo (L.) Hepper]. Legume Research-An International Journal. 2011;34(2):149-52.
Umadevi M, Ganesan NM. Correlation and path analysis for yield and yield components in black gram (Vigna mungo (L.) Hepper.). Madras Agricultural Journal [Internet]. 2005 [cited 2024 Sep 25]; Available from: https://worldveg.tind.io/record/36863/
Shoba D. Genetic variability and correlation studies in black gram [Vigna mungo (L.) Hepper]. Electronic Journal of Plant Breeding. 2018;9(4):1583-87. http://doi.org/10.5958/0975-928X.2018.00197.7
Sohel MH, Miah MR, Mohiuddin SJ, Islam A, Rahman MM, Haque MA. Correlation and path coefficient analysis of black gram (Vigna mungo L.). J Biosci Agric Res. 2016;7(02):621-29. https://doi.org/10.18801/jbar.070216.74
Prasad AD, Murugan E. Correlation analysis for seed yield and its attributes in parents and F1 generation in black gram (Vigna mungo (L.) Hepper). Annals of Plant and Soil Research. 2015;391.
Ch S, Lal GM. Correlation and path coefficient analysis for yield and yield components in black gram (Vigna mungo (L.) Hepper). J Pharm Innov. 2019;8:65-68.
Miah MR, Rob MM, Habiba U, Das KR, Islam MS. Correlation and path coefficients analysis of black gram (Vigna mungo L). European Academic Research. 2016;3(10):10906-17.
Shwetha SH, Pooja SK, Sumangala Bhat. Estimation of genetic variability for powdery mildew resistance yield related traits in F2:4 population in mungbean (Vigna radiata (L.) wilczeck). Int J Curr Microbiol App Sci. 2020;10:580-85.
Rani R, Singh V, Punia MS. Intergeneration correlation and parent-offspring regression in rust resistance derived F4 and F5 generations in bread wheat. Indian J Agri Sci [Internet]. 2021 Jul. 26 [cited 2024 Oct. 22];9195:683-88. https://doi.org/10.56093/ijas.v91i5.112983.

Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 N Alagawadi, K Dharmalingam, M Narayana, S Govindasamy, MB Narayanan

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).