Genetics of Resistance and Pathogenicity in the Maize/Setosphaeria turcica Pathosystem and Implications for Breeding

Galiano-Carneiro, Ana L.; Miedaner, Thomas

doi:10.3389/fpls.2017.01490

Cited by 58 publications

(60 citation statements)

References 110 publications

(158 reference statements)

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“…Northern leaf blight (NLB) is a foliar fungal disease affecting maize (Zea mays L.) caused by Setosphaeria turcica (anamorph Exserohilum turcicum). It occurs worldwide and is a particular problem in humid climates [8,9]. In the US and Ontario, estimated yield losses due to NLB have increased over recent years and accounted for estimated yield losses of 14 million tons in 2015 [10].…”

Section: Introductionmentioning

confidence: 99%

Quantitative Phenotyping of Northern Leaf Blight in UAV Images Using Deep Learning

et al. 2019

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Plant disease poses a serious threat to global food security. Accurate, high-throughput methods of quantifying disease are needed by breeders to better develop resistant plant varieties and by researchers to better understand the mechanisms of plant resistance and pathogen virulence. Northern leaf blight (NLB) is a serious disease affecting maize and is responsible for significant yield losses. A Mask R-CNN model was trained to segment NLB disease lesions in unmanned aerial vehicle (UAV) images. The trained model was able to accurately detect and segment individual lesions in a hold-out test set. The mean intersect over union (IOU) between the ground truth and predicted lesions was 0.73, with an average precision of 0.96 at an IOU threshold of 0.50. Over a range of IOU thresholds (0.50 to 0.95), the average precision was 0.61. This work demonstrates the potential for combining UAV technology with a deep learning-based approach for instance segmentation to provide accurate, high-throughput quantitative measures of plant disease.

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Section: Introductionmentioning

confidence: 99%

Quantitative Phenotyping of Northern Leaf Blight in UAV Images Using Deep Learning

et al. 2019

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“…In Brazil, the average temperature between inoculation and the last field evaluation was 20.4 °C varying from 17.5 to 27.8 °C (INMET 2020, Supplementary Table 2). Considering all European locations, the average temperature between inoculation and the last field evaluation was 22.7 °C varying from 3.7 to 38.4 °C (Agrarmeteorologie Baden-Württemberg 2020; AgrarMeteorologie Bayer 2020; Ilmeteo 2020; Meteociel 2020; Time and date 2020), which indicates that the minimum and maximum temperatures in Europe were not within the ideal range of NCLB development of 15-25 °C (Carson 1999;Hanekamp 2016;Galiano-Carneiro and Miedaner 2017).…”

Section: Assessing Brazilian Resistance Donors In Intercontinental Trmentioning

confidence: 99%

Intercontinental trials reveal stable QTL for Northern corn leaf blight resistance in Europe and in Brazil

et al. 2020

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Key message NCLB is the most devastating leaf disease in European maize, and the introduction of Brazilian resistance donors can efficiently increase the resistance levels of European maize germplasm. Abstract Northern corn leaf blight (NCLB) is one of the most devastating leaf pathogens in maize (Zea mays L.). Maize cultivars need to be equipped with broad and stable NCLB resistance to cope with production intensification and climate change. Brazilian germplasm is a great source to increase low NCLB resistance levels in European materials, but little is known about their effect in European environments. To investigate the usefulness of Brazilian germplasm as NCLB resistance donors, we conducted multi-parent QTL mapping, evaluated the potential of marker-assisted selection as well as genome-wide selection of 742 F1-derived DH lines. The line per se performance was evaluated in one location in Brazil and six location-by-year combinations (= environments) in Europe, while testcrosses were assessed in two locations in Brazil and further 10 environments in Europe. Jointly, we identified 17 QTL for NCLB resistance explaining 3.57–30.98% of the genotypic variance each. Two of these QTL were detected in both Brazilian and European environments indicating the stability of these QTL in contrasting ecosystems. We observed moderate to high genomic prediction accuracies between 0.58 and 0.83 depending on population and continent. Collectively, our study illustrates the potential use of tropical resistance sources to increase NCLB resistance level in applied European maize breeding programs.

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“…Introgression of genes from two close wild relatives of maize, Tripascum and Zea mexicana, have enhanced yields in maize. A relevant review discussed two critical aspects of the pathosystem of Northern corn leaf blight (NCLB; the most devastating leaf pathogen affecting maize): the genetics of the fungus Setosphaeria turcica as well as the inheritance mechanisms of the host plant maize, along with successful breeding strategies to build resistance to NCLB [29]. Quantitative resistance to many pathogens have recently been reported to be conferred by a gene encoding maize caffeoyl-CoA O-methyltransferase [30].…”

Section: Maize/cornmentioning

confidence: 99%

Strategies of Plant Biotechnology to Meet the Increasing Demand of Food and Nutrition in India

2020

Int. Ann. Sci.

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A groundbreaking application of biotechnology research during the recent past has been improvement of crop health and production. India being one of the most rapidly developing countries with an enormous population and remarkable biodiversity, plant biotechnology promises significant potential to contribute to characterization and conservation of the biodiversity, increasing its usefulness. However, India’s green revolution was noted to be insufficient to feed the country's teeming millions. Therefore, novel approaches in crop biotechnology had to be aimed at ensuring better productivity and quality of cultivars. This paper provides a comprehensive review of research undertaken mainly in the last couple of decades along with potential strategies in plant biotechnology focusing on specific grain and seed crops of key agricultural as well as dietary importance to meet the growing demand of food and nutrition in India, while also proposing potential application of relevant global research findings in the Indian context. The analysis would help address the ever-increasing worldwide socio-economic necessity for greater food security, particularly during times of crisis such as the recent Coronavirus Infectious Disease 2019 (COVID-19) pandemic.

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Genetics of Resistance and Pathogenicity in the Maize/Setosphaeria turcica Pathosystem and Implications for Breeding

Cited by 58 publications

References 110 publications

Quantitative Phenotyping of Northern Leaf Blight in UAV Images Using Deep Learning

Quantitative Phenotyping of Northern Leaf Blight in UAV Images Using Deep Learning

Intercontinental trials reveal stable QTL for Northern corn leaf blight resistance in Europe and in Brazil

Strategies of Plant Biotechnology to Meet the Increasing Demand of Food and Nutrition in India

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