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Identification of potential donors for false smut resistance in elite breeding lines of rice (Oryza sativa L.) under field conditions

Published online by Cambridge University Press:  04 May 2022

Jagjeet Singh Lore*
Affiliation:
Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
Jyoti Jain
Affiliation:
Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
Sanjay Kumar
Affiliation:
Department of Plant Pathology, Punjab Agricultural University, Ludhiana, India
Ishwinder Kamboj
Affiliation:
Department of Plant Pathology, Punjab Agricultural University, Ludhiana, India
Navjot Sidhu
Affiliation:
Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
Renu Khanna
Affiliation:
Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
Rupinder Kaur
Affiliation:
Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
Gurjit Singh Mangat
Affiliation:
Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
*
Author for correspondence: Jagjeet Singh Lore, E-mail: [email protected]

Abstract

False smut of rice is an emerging disease and caused severe damage to hybrids and inbred rice cultivars grown in Asian countries. The objective of the study was to quantify of false smut resistance and identification of donors in some of the advanced breeding lines and rice varieties developed at Punjab Agricultural University, Ludhiana, India. A total of 31 genotypes were evaluated for three years in two planting date per year under field conditions. The lines were categorized into short, medium and long durations based on days to flowering. False smut was quantified using different disease variables such as per cent infected panicle, number of false smut ball per plant and disease score. Disease variables were significantly and positively correlated to each other. The infected panicle ranged 0.0–75.4% was observed among the genotypes. Three advanced lines namely RGS-2 (short), RGM-3 (medium) and RGL-3 (long) showed the lowest ranged 0.0–4.9% of infected panicle as compared to susceptible checks (47.7–75.4%). The genotypes were divided into five groups according to a component of resistance. The third group had the lowest average values (3.3%) of infected panicle as compared to the fifth group with the highest values (36.2%) of the infected panicle. The overall trend of disease variables was higher in short duration genotypes as compared to medium and long durations. Weather factors such as rain fall, rainy days and high relative humidity during the flowering period were favourable for disease development. The genotypes with lower disease variables could be utilized in diseases resistance breeding programme.

Type
Research Article
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of NIAB

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References

Andargie, M, Li, L, Feng, A, Zhu, X and Li, J (2018) Mapping of the quantitative trait locus (QTL) conferring resistance to rice false smut disease. Current Plant Biology 15: 3843. https://doi.org/10.1016/j.cpb.2018.11.003.CrossRefGoogle Scholar
Ashizawa, T, Takahashi, M, Moriwaki, J and Kazuyuki, H (2011) A refined inoculation method to evaluate false smut resistance in rice. Journal of General Plant Pathology 77, 1016.CrossRefGoogle Scholar
Atia, MM (2004) Rice false smut (Ustilaginoidea virens) in Egypt. Journal of Plant Disease and Protection 111, 7182.Google Scholar
Baite, MS, Raghu, S, Lenka, S, Mukherjee, AK, Prabhukarthikeyan, SR and Jena, M (2017) Survey of rice false smut caused by Ustilaginoidea virens in Odisha. The Bioscan 12, 20812085.Google Scholar
Biswas, A (2001) False smut disease of rice-a review. Environment Ecology 19, 6783.Google Scholar
Brooks, SA, Anders, MM and Yeater, KM (2009) Effect of cultural management practices on the severity of false smut and kernel smut of rice. Plant Disease 93: 12021208.CrossRefGoogle ScholarPubMed
Chaudhary, AK, Rakholiya, KB and Baria, TT (2019) Screening of rice cultivars against false smut [Ustilaginoidea virens (Cooke) Takahashi] of rice. International Journal of Current Microbiology and Applied Sciences 8, 27862793.CrossRefGoogle Scholar
Dangi, B (2020) A review on rice false smut, it’s distribution, identification and management practices. Acta Scientific Agriculture 4, 4854.CrossRefGoogle Scholar
Dodan, DS and Singh, R (1995) Effect of planting time on the incidence of blast and false smut of rice in Haryana. Indian Phytopathology 48, 185186.Google Scholar
Fu, RT, Ding, L, Zhu, J, Li, P and Zheng, AP (2012) Morphological structure of asexual propogules and electrophoretic karyotype analysis of false smut Ustilaginoidea virens in rice. Journal of Microbiology 50, 263269.CrossRefGoogle Scholar
Gou, X, Li, Y, Fan, J, Li, L, Haung, F and Wang, W (2012) Progress in the study of false smut disease in Rice. Journal of Agricultural Science and Technology 2, 12111217.Google Scholar
Hiremath, SS, Bhatia, D, Jain, J, Hunjan, MS, Kaur, R, Zaidi, NW and Lore, JS (2021) Identification of potential donors and QTLs for resistance to false smut in a subset of rice diversity panel. European Journal of Plant Pathology 159, 461470.CrossRefGoogle Scholar
Huang, RR, Li, XM, Hua, JL, Ma, HG, Qiu, ZH, Liang, YY and Lan, B (2010) Studies on resistance to rice false smut in hybrid rice varieties (combinations). Acta Agriculturae Universitatis Jiangxiensis 32, 718722.Google Scholar
Huang, F, Li, Y, Shi, J, Fan, J, Li, D, Xu, Y and Wang, W (2016) Screening and polymorphism analysis of rice germplasms for resistance to false smut disease in Sichuan province. Acta Phytopathologica Sinica 46, 247257.Google Scholar
IBM Corp, (2019) IBM SPSS Statistics for Windows, Version 26.0. IBM Corp.Google Scholar
IRRI (2002) Standard Evaluation System for Rice, Los Banos, Manila, Philippine: IRRI, p. 14.Google Scholar
Jecmen, AC and TeBeest, DO (2015) First report of the occurrence of a white smut infecting rice in Arkansas. Journal of Phytopathology 163, 138143.CrossRefGoogle Scholar
Jin, SX, Dai, GH, He, RM, Qian, DM and Xue, HW (2005) Resistance evaluation of 11 rice (Oryza sativa) varieties to Ustilaginoidea virens. Journal of Shanghai Jiaotong Univeristy 23, 317322.Google Scholar
Kaur, Y, Lore, JS and Pannu, PPS (2018) Development of screening technique for artificial creation of false smut in rice. Journal of Applied and Natural Sciences 10, 253257. https://doi.org/10.31018/jans.v10i1.1613.CrossRefGoogle Scholar
Ke, Y, Deng, H and Wang, S (2017) Advances in understanding broad-spectrum resistance to pathogens in rice. Plant Journal 90, 738748.CrossRefGoogle ScholarPubMed
Kumar, S, Dwivedi, SK, Kumar, R, Bhakta, N, Prakash, V, Rao, KK, Samal, SK, Yadav, S, Jaiswal, KK, Kumar, SS, Sharma, BK and Mishra, JS (2017) Evaluation of rice genotypes for resistance against false smut of rice (Oryza sativa L.) under Middle IGP of Bihar. International Journal of Current Microbiology and Applied Science 6, 537543.Google Scholar
Ladhalakshmi, D, Laha, GS, Singh, R, Karthikeyan, A, Mangrauthia, SK, Sundaram, RM, Thukkaiyannan, P and Viraktamath, BC (2012) Isolation and characterization of Ustilaginoidea virens and survey of false smut disease of rice in India. Phytoparasitica 40, 171176.CrossRefGoogle Scholar
Li, Y, Koiso, Y, Kobayashi, H, Hashimoto, Y and Iwasaki, S (1995) Ustiloxins, new antimitotic cyclic peptides: interaction with porcine brain tubulin. Biochemical Pharmacology 49, 13671372. https://doi.org/10.1016/0006-2952(95)00072-8.CrossRefGoogle ScholarPubMed
Lore, JS, Pannu, PPS, Jain, J, Hunjan, MS, Kaur, R and Mangat, GS (2013) Susceptibility of rice hybrids and inbred cultivars to false smut under field conditions. Indian Phytopathology 66, 397399.Google Scholar
Lore, JS, Jain, J, Kumar, S, Kamboj, I, Khanna, R, Dhillon, BS, Zaidi, NW and Singh, US (2021) Prevention of false smut (Ustilaginoidea virens) on rice hybrids and pure-line cultivars by manipulating planting date. Journal of Phytopathology 169, 597606.CrossRefGoogle Scholar
Luduena, RF, Roach, MC, Prasad, V, Banerjee, M, Koiso, Y, Li, Y and Iwasaki, S (1994) Interaction of ustiloxin a with bovine brain tubulin. Biochemical Pharmacology 47, 15931599. https://doi.org/10.1016/0006-2952(94)90537-1.CrossRefGoogle ScholarPubMed
Mandhare, VK, Gawade, SB, Game, BC and Padule, DN (2008) Prevalence and incidence of bunt and false smut in paddy (Oryza sativa L.) seeds in Maharashtra. Agricultural Science Digest 28, 292294.Google Scholar
Mohiddin, FA, Bhat, FA, Gupta, V, Gupta, D and Kalha, CS (2012) Integrated disease management of false smut of rice caused by Ustilaginoidea virens. Trends in Bioscience 4, 301302.Google Scholar
Narinder, S and Singh, MS (1989) Effect of different levels of nitrogen and dates of transplanting on the incidence of false smut of paddy in Punjab. Indian Journal of Ecology 14, 164167.Google Scholar
Nessa, B, Salam, MU, Haque, AM, Biswas, JK, Latif, MA, Ali, MA and Galloway, J (2015) Rice false smut disease at different flowering times. Bangladesh Rice Journal 19, 2835.CrossRefGoogle Scholar
Raji, P, Sumiya K, V, Dhanya, S, Remya, K and Narayanankutti M, C (2016) Screening of rice varieties and in-vitro evaluation of botanicals against false smut pathogen, Ustilaginoidea virens Takahashi. IJASR 2, 7986.Google Scholar
Rani, R, Pannu, PPS and Lore, JS (2015) Influence of nitrogen fertilizer dose on false of rice (Oryza sativa) caused by Ustilaginoidea virens. Indian Journal of Agricultural Science 8, 10031006.Google Scholar
Rani, R, Sharma, VK, Lore, JS, Pannu, PPS and Kaur, Y (2016) Screening of rice germplasm against Ustilaginoidea virens, the incitant of false smut. Agricultural Research Journal 53, 134137.CrossRefGoogle Scholar
R Core Team (2016) R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. Available at https://www.R-project.org/.Google Scholar
Sanghera, GS, Ahangar, MA, Kashyap, SC, Bhat, ZA, Rather, AG and Parray, GA (2012) False smut of rice (Ustlaginoidea virens) under temperature agro-climatic conditions of Kashmir, India. Elixir Biotechnology 49, 98279831.Google Scholar
Singh, R and Sunder, S (2015) Identification of sources of resistance to blast and false smut of rice and their management with fungicides. Journal of Mycology and Plant Pathology 45, 5559.Google Scholar
Walker, JC (1975) Plant Pathology, 3rd Edn, New York: McGraw Hill Book Company, Inc.Google Scholar
Zhou Y, L, Xie X, W, Zhang, F, Wang, S, Liu X, Z, Zhu L, H and Li Z, K (2013) Detection of quantitative resistance loci associated with resistance to rice false smut (Ustilaginoidea virens) using introgression lines. Plant Pathology 63, 365372.CrossRefGoogle Scholar
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