Deciphering environmental factors and defense response of rice genotypes against sheath blight disease

Naveenkumar, R.; Anandan, A.; Singh, Vineeta; Prabhukarthikeyan, S.R.; Parameswaran, C.; Ganesan, S.; Mahender, Anumalla; Keerthana, U.; Singh, Prachi; Patra, Bhaskar Chandra; Ali, Jauhar

doi:10.1016/j.pmpp.2022.101916

Cited by 10 publications

(8 citation statements)

References 38 publications

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“…The major hurdle in developing a stable resistant donor for sheath blight is because of the complexity of the pathogen, resistance being a polygenic and variable response of the rice genotypes. Because of the non-availability of a stable resistant donor, breeding for rice tolerant to R. solani has been unsuccessful ( Naveen kumar et al., 2022 ). The development of cultivars resistant to R. solani is a major thrust area for rice research and development across the globe, as this proposes an economically and environment-friendly and sound strategy for managing sheath blight ( Dey et al., 2016 ).…”

Section: Introductionmentioning

confidence: 99%

“…The development of cultivars resistant to R. solani is a major thrust area for rice research and development across the globe, as this proposes an economically and environment-friendly and sound strategy for managing sheath blight ( Dey et al., 2016 ). Genotypes with resistance reported thus far, such as Jasmine 85 and Teqing, eventually become susceptible ( Dey et al., 2016 ; Naveen kumar et al., 2022 ). This may be due to the pathogen’s acquired resistance or the absence of a stable genotype against the pathogen R. solani ( Naveen kumar et al., 2022 ).…”

Section: Introductionmentioning

confidence: 99%

“…Genotypes with resistance reported thus far, such as Jasmine 85 and Teqing, eventually become susceptible ( Dey et al., 2016 ; Naveen kumar et al., 2022 ). This may be due to the pathogen’s acquired resistance or the absence of a stable genotype against the pathogen R. solani ( Naveen kumar et al., 2022 ). Additionally, the role of certain biochemical parameters such as cellulose, hemicellulose content, lignin content, etc., need to be studied to understand their relationship in the disease manifestation.…”

Section: Introductionmentioning

confidence: 99%

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Multi-environment evaluation of rice genotypes: impact of weather and culm biochemical parameters against sheath blight infection

Panda,

R.,

Pavani S.

et al. 2023

Front. Plant Sci.

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IntroductionSheath blight caused by Rhizoctonia solani is one of the major diseases of rice, causing widespread crop losses. The use of semi-dwarf rice varieties in the ongoing nutrient-intensive rice cultivation system has further accentuated the incidence of the disease. An ideal solution to this problem would be identifying a stable sheath blight-tolerant genotype. Material and methodsA multi-environment evaluation of 32 rice genotypes against sheath blight infection was conducted over six seasons across two locations (Agricultural Research Farm, Institute of Agricultural Sciences, Banaras Hindu University (28.18° N, 38.03° E, and 75.5 masl), for four years during the wet seasons (kharif) from 2015 to 2018 and two seasons at the National Rice Research Institute (20°27’09” N, 85°55’57” E, 26 masl), Cuttack, Odisha, during the dry season (rabi) of 2019 and the kharif of 2019, including susceptible and resistant check. Percent disease index data were collected over 4 weeks (on the 7th, 14th, 21st, and 28th day after infection), along with data on other morphological and physiological traits.Result and discussionThe resistant genotypes across seasons were the ones with a higher hemicellulose content (13.93-14.64) and lower nitrogen content (1.10- 1.31) compared with the susceptible check Tapaswini (G32) (hemicellulose 12.96, nitrogen 1.38), which might explain the resistant reaction. Three different stability models—additive main effect and multiplicative interaction (AMMI), genotype + genotype x environment (GGE) biplot, and multi-trait stability index (MTSI)—were then used to identify the stable resistant genotypes across six seasons. The results obtained with all three models had common genotypes highlighted as stable and having a low area under the disease progress curve (AUDPC) values. The ideal stable genotypes with low disease incidence were IC 283139 (G19), Tetep (G28), IC 260917 (G4), and IC 277274 (G10), with AUDPC values of 658.91, 607.46, 479.69, and 547.94, respectively. Weather parameters such as temperature, rainfall, sunshine hours, and relative humidity were also noted daily. Relative humidity was positively correlated with the percent disease index.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multi-environment evaluation of rice genotypes: impact of weather and culm biochemical parameters against sheath blight infection

Panda,

R.,

Pavani S.

et al. 2023

Front. Plant Sci.

Self Cite

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“…reaction to R. solani. These findings suggest that pathotype, cultivar, and environmental interaction determines the resistance reaction (Naveenkumar et al, 2022).…”

Section: Discussionmentioning

confidence: 81%

“…Furthermore, our finding was in agreement with Dey et al (2016), who has reported that Jasmine 85 showed moderately susceptible reaction to R. solani , and Bal et al (2020), who reported that Teqing showed susceptible reaction to R. solani . These findings suggest that pathotype, cultivar, and environmental interaction determines the resistance reaction (Naveenkumar et al, 2022).…”

Section: Discussionmentioning

confidence: 97%

Dissecting genomic regions and underlying sheath blight resistance traits in rice (Oryza sativa L.) using a genome‐wide association study

Naveenkumar,

Anandan,

Prabhukarthikeyan

et al. 2023

Plant Direct

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The productivity of rice is greatly affected by the infection of the plant pathogenic fungus Rhizoctonia solani, which causes a significant grain yield reduction globally. There exist a limited number of rice accessions that are available to develop sheath blight resistance (ShB). Our objective was to identify a good source of the ShB resistance, understand the heritability, and trait interactions, and identify the genomic regions for ShB resistance traits by genome‐wide association studies (GWAS). In the present study, a set of 330 traditional landraces and improved rice varieties were evaluated for ShB resistance and created a core panel of 192 accessions used in the GWAS. This panel provides a more considerable amount of genetic variance and found a significant phenotypic variation among the panel of rice accessions for all the agro‐morphological and disease‐resistance traits over the seasons. The infection rate of ShB and disease reaction were calculated as percent disease index (PDI) and area under the disease progress curve (AUDPC). The correlation analysis showed a significant positive association between PDIs and AUPDC and a negative association between PDI and plant height, flag leaf length, and grain yield. The panel was genotyped with 133 SSR microsatellite markers, resulting in a genome coverage of 314.83 Mb, and the average distance between markers is 2.53 Mb. By employing GLM and MLM (Q + K) models, 30 marker–trait associations (MTAs) were identified with targeted traits over the seasons. Among these QTLs, eight were found to be novel and located on 2, 4, 8, 10, and 12 chromosomes, which explained the phenotypic variation ranging from 5% to 15%. With the GWAS approach, six candidate genes were identified. Os05t0566400, Os08t0155900, and Os09t0567300 were found to be associated with defense mechanisms against ShB. These findings provided insights into the novel donors of IC283139, IC 277248, Sivappuchithirai Kar, and Bowalia. The promising genomic regions on 10 of 12 chromosomes associated with ShB would be useful in developing rice varieties with durable disease resistance.

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Oschib1 gene encoding a GH18 chitinase confers resistance against sheath blight disease of rice caused by Rhizoctonia solani AG1-IA

Prathi,

Durga Rani,

Prakasam

et al. 2024

Plant Mol Biol

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Deciphering environmental factors and defense response of rice genotypes against sheath blight disease

Cited by 10 publications

References 38 publications

Multi-environment evaluation of rice genotypes: impact of weather and culm biochemical parameters against sheath blight infection

Multi-environment evaluation of rice genotypes: impact of weather and culm biochemical parameters against sheath blight infection

Dissecting genomic regions and underlying sheath blight resistance traits in rice (Oryza sativa L.) using a genome‐wide association study

Oschib1 gene encoding a GH18 chitinase confers resistance against sheath blight disease of rice caused by Rhizoctonia solani AG1-IA

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