Effect of nitrogen fertilization on the expression of slow-blasting resistance in rice

Mukherjee, Arup; Mohapatra, N. K.; Rao, A.V.; Nayak, P.

doi:10.1017/s0021859605005551

Cited by 15 publications

(10 citation statements)

References 16 publications

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“…Several measures for evaluating plant disease resistance have been advocated for use in identification of slowblasting resistance in rice, including single-point, or multi-point assessments, AUDPC, RAUDPC, r, k and number of lesions (Mohapatra 2002;Mukherjee et al 2005). However multiple data point assessment methods involve recording observations at regular intervals during the epidemic and thus are time consuming, labour intensive and expensive.…”

Section: Discussionmentioning

confidence: 99%

“…AUDPC and logistic apparent infection rates calculated by the AP and TP methods as well as the Gompertz apparent infection rates calculated by the TP method were superior to the Gompertz apparent infection rate calculated by the AP method. Previous reports revealed the superiority of AUDPC AP and 'r AP ' over many other parameters for evaluation of slow-blasting resistance in rice (Mohapatra 2002;Mukherjee et al 2005;Mohapatra et al 2008). The superiority of AUDPC AP and r AP in the present investigation corroborates these previous reports.…”

Section: Discussionmentioning

confidence: 99%

“…Recently Mohapatra (2002) and Mukherjee et al (2005) recognized AUDPC, RAUDPC, r, k and genotype-score on PC-1 as top ranking parameters for identification of slow-blasting resistance in rice. The assessment of rate reducing resistance in polycyclic diseases covers a range of sampling frequencies at regular intervals, which is time consuming, labour intensive and costly.…”

Section: Introductionmentioning

confidence: 99%

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Estimation of area under the disease progress curves in a rice-blast pathosystem from two data points

2009

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Attempts were made to estimate the area under the disease progress curve (AUDPC) of rice blast disease caused by Pyricularia grisea from two data points on the disease progress curve. Forty-two rice genotypes were exposed to high disease pressure in a nursery over nine seasons. A conducive condition was created for maximum disease development through high nitrogen application, close spacing and maintenance of high relative humidity. Disease severity was recorded on alternate days beginning from disease initiation until the end of the epidemic. The estimation of AUDPC, and logistic and Gompertz apparent infection rates using either all-points (AP) or twopoint (TP) methods revealed significant correlations among them. This was also confirmed through regression analysis and factor analysis. Hence, the estimation of AUDPC from two data points i.e. initial and final disease scores of the disease progress curves is recommended as providing information similar to that from all the data points; this should save valuable time, labour and economic resources.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Estimation of area under the disease progress curves in a rice-blast pathosystem from two data points

2009

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“…Irrigated rice has a high nitrogen (N) demand (Carlos et al 2016;Saha et al 2019;Zhang et al 2019), and this has a great influence on plant-host relationship (Walters and Bingham 2007), mainly for the Magnaporthe oryzae x rice pathosystem, in which the phenomenon known as Ninduced susceptibility (NIS) occurs. Briefly, this N-induced susceptibility is characterized by the increase of leaf lesions and the alteration of types of lesions caused by the rice blast due to the increase in the amount of N (Otani 1959;Mukherjee et al 2005;Talukder et al 2005;Ballini et al 2013;Huang et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Influence of Blast on the Nutrition and Yield of Irrigated Rice in Southern Brazil

Ogoshi

Carlos

Waldow

et al. 2020

J Soil Sci Plant Nutr

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In recent decades, nitrogen fertilization rates have increased significantly in irrigated rice fields in southern Brazil. However, there is a gap in knowledge concerning the use of these high rates of nitrogen fertilization in cultivars with a high yield potential, and susceptible to rice blast. We therefore conducted a field experiment in the 2014/2015 and 2015/2016 crop year to evaluate blast severity, plant tissue nutrition, and yield and grain quality with increasing nitrogen fertilization levels in a rice blast-susceptible cultivar (Guri Inta CL). The experiment had three factors, with factor 1: N doses (0, 60, 120, and 180 kg ha −1), factor 2: sowing dates (early and late), and factor 3: with and without fungicide application. The experimental design was randomized blocks with four replications. The area under the disease progress curve was positively influenced by the increase of N rates in the two crops years. Grain yield had a negative quadratic effect as a function of N rates. Increased N levels reduced the thousand grains weight. Late sowing and non-application of fungicide increased disease severity; there was reduced yield, grain quality, and N use efficiency. It is concluded that the use of N levels greater than 60 kg ha −1 in rice blast-susceptible cultivars in southern Brazil increases disease severity with lower N use, reduces grain yield and grain quality.

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“…Nitrogen-Induced Susceptibility (NIS) is characterized by an increase in lesion number (Otani, 1959 ; Mukherjee et al, 2005 ; Talukder et al, 2005 ; Ballini et al, 2013 ) and a change in the type of lesions (Otani, 1959 ; Matsuyama and Dimond, 1973 ), suggesting that the cellular events associated with pathogen growth are affected. However, there has been no analysis at the cytological level of the events associated with this increase in lesion number or size.…”

Section: Introductionmentioning

confidence: 99%

Increase of Fungal Pathogenicity and Role of Plant Glutamine in Nitrogen-Induced Susceptibility (NIS) To Rice Blast

Huang

Thu

et al. 2017

Front. Plant Sci.

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Highlight Modifications in glutamine synthetase OsGS1-2 expression and fungal pathogenicity underlie nitrogen-induced susceptibility to rice blast.Understanding why nitrogen fertilization increase the impact of many plant diseases is of major importance. The interaction between Magnaporthe oryzae and rice was used as a model for analyzing the molecular mechanisms underlying Nitrogen-Induced Susceptibility (NIS). We show that our experimental system in which nitrogen supply strongly affects rice blast susceptibility only slightly affects plant growth. In order to get insights into the mechanisms of NIS, we conducted a dual RNA-seq experiment on rice infected tissues under two nitrogen fertilization regimes. On the one hand, we show that enhanced susceptibility was visible despite an over-induction of defense gene expression by infection under high nitrogen regime. On the other hand, the fungus expressed to high levels effectors and pathogenicity-related genes in plants under high nitrogen regime. We propose that in plants supplied with elevated nitrogen fertilization, the observed enhanced induction of plant defense is over-passed by an increase in the expression of the fungal pathogenicity program, thus leading to enhanced susceptibility. Moreover, some rice genes implicated in nitrogen recycling were highly induced during NIS. We further demonstrate that the OsGS1-2 glutamine synthetase gene enhances plant resistance to M. oryzae and abolishes NIS and pinpoint glutamine as a potential key nutrient during NIS.

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Effect of nitrogen fertilization on the expression of slow-blasting resistance in rice

Cited by 15 publications

References 16 publications

Estimation of area under the disease progress curves in a rice-blast pathosystem from two data points

Estimation of area under the disease progress curves in a rice-blast pathosystem from two data points

Influence of Blast on the Nutrition and Yield of Irrigated Rice in Southern Brazil

Increase of Fungal Pathogenicity and Role of Plant Glutamine in Nitrogen-Induced Susceptibility (NIS) To Rice Blast

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