Association mapping of resistance to tar spot complex in maize

Yan, Shufeng; Loladze, Alexander; Wang, Nan; Sun, Shuku; Chilvers, Martin I.; Olsen, Michael; Burgueño, Juan; Petroli, César; Molnar, Terry; Vicente, Félix San; Zhang, Xuecai; Prasanna, Boddupalli M.

doi:10.1111/pbr.13056

Cited by 6 publications

(1 citation statement)

References 47 publications

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“…As P. maydis continues to establish itself across several states in the U.S., an integrated management approach to mitigate the yield losses is needed. Partial genetic resistance for tar spot has been identified in corn germplasm 13 , 14 , but many current commercial corn hybrids are considered highly susceptible. Fungicides are currently the most effective method for reducing tar spot development and yield losses, especially when two or three fungicide classes are used 15 .…”

Section: Introductionmentioning

confidence: 99%

Uncovering the environmental conditions required for Phyllachora maydis infection and tar spot development on corn in the United States for use as predictive models for future epidemics

Webster,

Nicolli,

Allen

et al. 2023

Sci Rep

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Phyllachora maydis is a fungal pathogen causing tar spot of corn (Zea mays L.), a new and emerging, yield-limiting disease in the United States. Since being first reported in Illinois and Indiana in 2015, P. maydis can now be found across much of the corn growing regions of the United States. Knowledge of the epidemiology of P. maydis is limited but could be useful in developing tar spot prediction tools. The research presented here aims to elucidate the environmental conditions necessary for the development of tar spot in the field and the creation of predictive models to anticipate future tar spot epidemics. Extended periods (30-day windowpanes) of moderate mean ambient temperature (18–23 °C) were most significant for explaining the development of tar spot. Shorter periods (14- to 21-day windowpanes) of moisture (relative humidity, dew point, number of hours with predicted leaf wetness) were negatively correlated with tar spot development. These weather variables were used to develop multiple logistic regression models, an ensembled model, and two machine learning models for the prediction of tar spot development. This work has improved the understanding of P. maydis epidemiology and provided the foundation for the development of a predictive tool for anticipating future tar spot epidemics.

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Section: Introductionmentioning

confidence: 99%

Uncovering the environmental conditions required for Phyllachora maydis infection and tar spot development on corn in the United States for use as predictive models for future epidemics

Webster,

Nicolli,

Allen

et al. 2023

Sci Rep

Self Cite

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Genomic prediction of yield performance among single-cross maize hybrids using a partial diallel cross design

Luo,

Wang,

et al. 2023

The Crop Journal

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Investigations into Economic Returns Resulting from Foliar Fungicides and Application Timing on Management of Tar Spot in Indiana Hybrid Corn

Ross,

Allen,

Shim

et al. 2024

Plant Disease

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Tar spot, caused by Phyllachora maydis, is the most significant yield-limiting disease of corn (Zea mays L.) in Indiana. Currently, fungicides are an effective management tool for this disease and partial returns from their use under different disease severity conditions has not previously been studied. Between 2019 and 2021, two separate field experiments were conducted in each year in Indiana to assess the efficacy of nine foliar fungicide products and nine fungicide application timings based on corn growth stages on tar spot symptoms and stromata, canopy greenness, yield, and influence on partial returns. All fungicides evaluated significantly suppressed tar spot development in the canopy and increased canopy greenness over the nontreated. Additionally, applications of mefentrifluconazole + pyraclostrobin, metconazole + pyraclostrobin, cyproconazole + picoxystrobin at tassel, and propiconazole + benzovindiflupyr + azoxystrobin between the tassel and dough growth stages were the most effective at significantly reducing disease severity, increasing canopy greenness, protecting yield, and offered the greatest partial return. Fungicide products varied in their ability to protect yield under low and high disease severity conditions relative to the nontreated control. Consistently, positive yield increases were observed when disease severity was high which translated to greater profitability relative to low severity conditions. On average, the yield increases across foliar fungicide products and timed application treatments were 544.6 kg/ha and 1,020.7 kg/ha greater and partial returns using a grain value of $0.17/kg were $92.6/ha and $173.5/ha greater, respectively when high severity conditions occurred. This research demonstrates that foliar fungicides and appropriately timed fungicide applications can profitably be used to manage tar spot in Indiana under high disease severity conditions.

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Association mapping of resistance to tar spot complex in maize

Cited by 6 publications

References 47 publications

Uncovering the environmental conditions required for Phyllachora maydis infection and tar spot development on corn in the United States for use as predictive models for future epidemics

Uncovering the environmental conditions required for Phyllachora maydis infection and tar spot development on corn in the United States for use as predictive models for future epidemics

Genomic prediction of yield performance among single-cross maize hybrids using a partial diallel cross design

Investigations into Economic Returns Resulting from Foliar Fungicides and Application Timing on Management of Tar Spot in Indiana Hybrid Corn

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