Assessment of genes controlling Area under Disease Progress Curve (AUDPC) for stripe rust (P. Striiformis F. Sp. Tritici) in two wheat (Triticum Aestivum L.) crosses

Irfaq, Muhammad; Ajab, Mir; Ma, Hongxiang; Khattak, G. S. S.

doi:10.3103/s0095452709040045

Cited by 5 publications

(10 citation statements)

References 16 publications

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“…The early availability and uniformity of primary inoculum levels for the epidemics assessed in this study are evident based on the lack of difference in the estimated values of the initial inoculum (y 0 ) parameter among the cultivars. This suggests that strategies for managing peach rust in the studied region should aim to reduce the epidemic progress rate, either through the use of fungicide sprays or by growing cultivars that show slow rust progress (JEGER, 2004). The clear differences in disease onset timing and, consequently, the time to reach maximum severity, when comparing the two years in our study, is probably due to a more favorable environmental condition during the 2008/09 growing season, which led to earlier onset and enhanced rust development.…”

Section: Discussionmentioning

confidence: 99%

“…Rust reactions among the cultivars were compared based on nine disease-related variables: the three parameters given by the logistic model: initial inoculum (y 0 ), maximum severity (y max ) and disease progress rate (r); time in days to the first leaf symptoms (TFS); time in days from the first assessment until a maximum severity was reached (TMS); maximum severity in a single leaf of the branch (MSL); maximum average severity for all leaves in a branch (MSB); area under the disease (mean severity) progress curve (AUDPC) estimated by the trapezoidal integration method (MADDEN et al, 2007); and defoliation calculated based on the proportion of leaves present during the last evaluation in relation to the maximum foliage of the branch (DEFOL).…”

Section: Temporal Disease Assessments and Analysismentioning

confidence: 99%

“…The three logistic model parameters were compared among the cultivars with a t-test (MADDEN et al, 2007), and the means of the other disease-related variables were subjected to analysis of variance and separated using the Scott-Knott test at 5% probability. The Sisvar program was utilized for the statistical analysis.…”

Section: Temporal Disease Assessments and Analysismentioning

confidence: 99%

“…The logistic model was fitted to the rust progress data, and its biologically-significant parameters: initial inoculum (y 0 ), maximum severity (y max ) and disease progress rate (r) were estimated (MADDEN et al, 2007 Univariate and multivariate analysis…”

Section: Temporal Disease Assessments and Analysismentioning

confidence: 99%

“…Multivariate analysis of several responses in combination allows simplification and interpretation of the processes in complex phenomena (LEGENDRE; LEGENDRE, 1998), such as plant disease (MADDEN et al, 2007). In the case of disease data from unmanaged systems, multivariate analysis can be useful to analyze and classify a set of genotypes based on disease-related variables related to host resistance.…”

Section: Introductionmentioning

confidence: 99%

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<b>Susceptibility levels and grouping of peach cultivars in relation to peach rust under field conditions

et al. 2014

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ABSTRACT. The objective of this study was to assess susceptibility and classify peach cultivars in relation to rust (Tranzschelia discolor) under field conditions. The study was conducted in an orchard during the 2007/08 and 2008/09 growing seasons and included the cultivars: Aurora 1, Chimarrita, Chiripá, Coral, Eldorado, Granada, Leonense, Maciel, Marli, Premier and Vanguarda. Several disease-related variables were evaluated, over a 10 day interval from September to February, based on estimates of disease incidence, severity and defoliation. The logistic model adequate fit to rust severity progress data (R 2 > 0.90) in the two years. Principal component analysis (PCA) using all data, irrespective of the year, identified area under the disease progress curve, initial inoculum and disease progress rate as the best variables to differentiate reactions to rust. When PCA analysis was conducted separately for each year, different disease-related variables were selected as a principal component, and cultivars were classified in three groups of susceptibility. There was inconsistency in the grouping of some cultivars, which was likely due to varying environmental conditions between the years. However, 'Coral' was consistently grouped in the low susceptibility group and 'Chimarrita' and 'Granada' in the high susceptibility group.Keywords: Tranzschelia discolor, horizontal resistance, Prunus persica.Níveis de suscetibilidade e agrupamento de cultivares de pessegueiro em relação à ferrugem sob condições de campo RESUMO. Objetivou-se avaliar a suscetibilidade e classificar as cultivares de pessegueiro em relação à ferrugem (Tranzschelia discolor) em condições de campo. O estudo foi conduzido em pomar nas safras 2007/08 e 2008/09, com as cultivares: Aurora 1, Chimarrita, Chiripá, Coral, Eldorado, Granada, Leonense, Maciel, Marli, Premier e Vanguarda. Diversas variáveis relacionadas com a doença foram avaliadas, em um intervalo de 10 dias de setembro até fevereiro, baseado em estimativas de incidência, severidade e desfolha da doença. O modelo logístico foi adequado aos dados do progresso da severidade (R 2 > 0,90), nos dois anos. Para a análise de componentes principais (ACP), utilizou-se todos os dados, independentemente do ano, identificou-se a área sob a curva de progresso da doença, inóculo inicial e taxa de progresso da doença como as melhores variáveis para diferenciar as reações à ferrugem. A ACP foi realizada separadamente para cada ano, variáveis diferentes foram relacionadas a doença e selecionadas como componente principal, e as cultivares foram classificadas em três grupos de suscetibilidade. Houve inconsistência no agrupamento de algumas cultivares, provavelmente influenciada pela variação das condições ambientais, entre os anos. No entanto, 'Coral' foi consistentemente agrupada no grupo menos suscetível e 'Chimarrita' e 'Granada' no grupo mais suscetível. Palavras-chave:Tranzschelia discolor, resistência horizontal, Prunus persica.

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Section: Discussionmentioning

confidence: 99%

Section: Temporal Disease Assessments and Analysismentioning

confidence: 99%

Section: Temporal Disease Assessments and Analysismentioning

confidence: 99%

Section: Temporal Disease Assessments and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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<b>Susceptibility levels and grouping of peach cultivars in relation to peach rust under field conditions

et al. 2014

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Stripe Rust Partial Resistance Increases Spring Bread Wheat Yield in South‐eastern Anatolia, Turkey

Aktaş

Zencirci

2016

Journal of Phytopathology

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Stripe rust caused by Puccinia striiformis f.sp. tritici is the most serious disease of wheat globally including south‐eastern Anatolia of Turkey, where wheat originated. In this study, 12 spring wheat genotypes were artificially inoculated and preserved in two locations, Diyarbakır and Adıyaman, during the 2011–2012 season to investigate loss in yield and yield components. Genotypes were evaluated at the adult plant stage using two partial resistance parameters: final disease severity and area under the disease progress curve (AUDPC). AUDPC ranged from 14.8 to 860 in Diyarbakır, and 74 to 760 in Adıyaman. Yield loss ranged from 0.6 to 68.5% in Diyarbakır and 9.8 to 56.8% in Adıyaman. Genotypes G1, G5, G7 and G8 were found to lose less yield, while higher yield loss was observed in G3, G4 (Nurkent), G5 and G9 (Karacadağ‐98). The highest loss in thousand kernel weight was observed in a susceptible cultivar Karacadağ‐98 in Diyarbakır followed by 43.4 and 24.4% in Adıyaman. Test weight loss reached 8.89% in Diyarbakır and 20.8% in Adıyaman. Yield loss and AUDPC had a positive significant relationship. Based on the values of AUDPC, final disease severity and yield loss, three major clusters were formed for 12 wheat genotypes. Partially resistant genotypes were found to lose less grain yield and seemed to be stronger against severe stripe rust pressure.

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Yield Losses in Wheat Caused by Stripe Rust (<i>Puccinia striiformis</i>) in Egypt

Shahin¹,

Ashmawy²,

El-Orabey³

et al. 2020

AJLS

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Assessment of genes controlling Area under Disease Progress Curve (AUDPC) for stripe rust (P. Striiformis F. Sp. Tritici) in two wheat (Triticum Aestivum L.) crosses

Abstract: AUDPC (2504.10 to 5833.14) for segregating progenies (BC 1, BC2 and F2) represent that the character was highly influenced by the environment.

Cited by 5 publications

References 16 publications

<b>Susceptibility levels and grouping of peach cultivars in relation to peach rust under field conditions

<b>Susceptibility levels and grouping of peach cultivars in relation to peach rust under field conditions

Stripe Rust Partial Resistance Increases Spring Bread Wheat Yield in South‐eastern Anatolia, Turkey

Yield Losses in Wheat Caused by Stripe Rust (<i>Puccinia striiformis</i>) in Egypt

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Assessment of genes controlling Area under Disease Progress Curve (AUDPC) for stripe rust (P. Striiformis F. Sp. Tritici) in two wheat (Triticum Aestivum L.) crosses

Abstract: AUDPC (2504.10 to 5833.14) for segregating progenies (BC 1, BC2 and F2) represent that the character was highly influenced by the environment.

Cited by 5 publications

References 16 publications

<b>Susceptibility levels and grouping of peach cultivars in relation to peach rust under field conditions

<b>Susceptibility levels and grouping of peach cultivars in relation to peach rust under field conditions

Stripe Rust Partial Resistance Increases Spring Bread Wheat Yield in South‐eastern Anatolia, Turkey

Yield Losses in Wheat Caused by Stripe Rust (&lt;i&gt;Puccinia striiformis&lt;/i&gt;) in Egypt

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Yield Losses in Wheat Caused by Stripe Rust (<i>Puccinia striiformis</i>) in Egypt