Remote evaluation of maize cultivars susceptibility to late wilt disease caused by Magnaporthiopsis maydis

Degani, Ofir; Chen, Assaf; Dor, Shlomit; Orlov-Levin, Valerie; Jacob, Moran; Shoshani, Gil; Rabinovitz, Onn

doi:10.1007/s42161-022-01039-9

Cited by 10 publications

(17 citation statements)

References 35 publications

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“…Still, it is consistent with what is known about some of the previously tested varieties. For example, the susceptible W86 and hybrid 7 (Colossus) [ 8 , 23 ] showed drastically higher values (ca. 500% and 450%) than the control.…”

Section: Resultsmentioning

confidence: 99%

“…The pathogen Magnaporthiopsis maydis (former names Harpophora maydis and Cephalosporium maydis ) [ 1 , 2 , 3 , 4 , 5 ] causes severe damage to corn fields in the late stages of growth (near the time of harvest) [ 6 , 7 ]. This disease, known as maize late wilt disease (LWD), has spread since its discovery (in the 1980s) and is now common in most corn-growing areas in Israel [ 8 ]. A similar scenario is prevalent in other countries, and the areas highly impacted by LWD now include Egypt [ 9 , 10 , 11 , 12 , 13 ], India [ 14 , 15 , 16 , 17 ], Portugal and Spain [ 18 , 19 , 20 , 21 , 22 ].…”

Section: Introductionmentioning

confidence: 99%

“…This scenario occurred in Israel for the relatively resistant corn variety, Royalty, which became the leading corn variety during the LWD outbreak in the 1990s [ 26 , 37 ]. A program to develop new corn hybrids resistant to LWD has been operating in Egypt since 1980 [ 56 ] and in Israel for more than a decade (R&D North, Migal—Galilee Research Institute, Kiryat Shmona, Israel) [ 8 ], and has recently also been reported in India [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

“…The latest report has proven that thermal sensing is reliable and accurate and is able to detect tiny changes in the landscape temperatures of the plants measured (with an accuracy of less than 1 °C). In 2019, the remote sensing method was applied to study the effect of M. maydis in fodder corn plants [ 8 ]. The experiments were conducted as part of an annual cultivar test in a commercial field with a long history of LWD infection.…”

Section: Introductionmentioning

confidence: 99%

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Cultivars Resistance Assay for Maize Late Wilt Disease

Degani

Yifa²,

Gordani

et al. 2022

Biology

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Magnaporthiopsis maydis late wilt disease (LWD) in corn is considered to be the most severe in Israel and Egypt and poses a significant threat in other countries. Research efforts extending over a period of five decades led to the development of chemical, biological, agrotechnical, physical (solar disinfection) and other means for controlling late wilt disease. Today, some applications can reduce damage even in severe cases. However, cultivating disease-resistant maize varieties is the primary means for reducing the disease’s impact. The current work uses a rapid (six days) laboratory seedling pathogenicity test and a full-season open encloser semi-field conditioned pots assay (101 days) to classify maize varieties according to their LWD resistance. To better evaluate differences between the cultivars, a real-time based molecular assay was applied to track the pathogen’s presence in the plants’ tissues, and visible light aerial imaging was used in parallel. The findings show that in cases of extreme sensitivity or tolerance (for example, in the highly susceptible Megaton cultivar (cv.) or the resistant Hatai cv.), a similarity in the results exists between the different methods. Thus, a reliable estimate of the varieties’ sensitivity can be obtained in a seed assay without the need for a test carried out throughout an entire growing season. At the same time, in most situations of partial or reduced LWD sensitivity/resistance, there is no match between the various tests, and only the entire growing season can provide the most reliable results. Tracking the amount of M. maydis DNA in the plants’ bodies is a precise, sensitive scientific tool of great importance for studying the development of the disease and the factors affecting it. Yet, no complete overlap exists between the fungal DNA amount and symptom severity. Such a correlation exists in high sensitivity or resistance cases but not in intermediate situations. Still, the valuation of the pathogen’s establishment in asymptomatic corn hybrids can indicate the degree of LWD immunity and the chance of susceptibility development.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Cultivars Resistance Assay for Maize Late Wilt Disease

Degani

Yifa²,

Gordani

et al. 2022

Biology

Self Cite

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“…In plant science and agronomy, measuring plant leaf temperature using thermal imaging has long been used to study the mechanisms behind plant water relations ( Chaerle and Van Der Straeten, 2000 ), plant physiology processes ( Jones et al, 2002 ; Aldea et al, 2006a ; Grant et al, 2010 ), plant responses to pathogens ( Chaerle et al, 1999 ) or environmental stressors ( Jones et al, 2009 ), and plant photosynthetic rate ( Aldea et al, 2006b ; Vítek et al, 2020 ). In the area of precision agriculture, substantial interests have been witnessed in irrigation scheduling ( Li et al, 2022 ), yield prediction ( Bellis et al, 2022 ), evapotranspiration estimation ( Lu et al, 2022 ; Wolff et al, 2022 ), pre-symptomatic diagnosis ( Cohen et al, 2022 ), and stress tolerance ( Zhou et al, 2020 ; Degani et al, 2022 ; Rippa et al, 2022 ).…”

Section: Imaging Sensorsmentioning

confidence: 99%

A review of remote sensing for potato traits characterization in precision agriculture

Sun

Zhou

et al. 2022

Front. Plant Sci.

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Potato is one of the most significant food crops globally due to its essential role in the human diet. The growing demand for potato, coupled with severe environmental losses caused by extensive farming activities, implies the need for better crop protection and management practices. Precision agriculture is being well recognized as the solution as it deals with the management of spatial and temporal variability to improve agricultural returns and reduce environmental impact. As the initial step in precision agriculture, the traditional methods of crop and field characterization require a large input in labor, time, and cost. Recent developments in remote sensing technologies have facilitated the process of monitoring crops and quantifying field variations. Successful applications have been witnessed in the area of precision potato farming. Thus, this review reports the current knowledge on the applications of remote sensing technologies in precision potato trait characterization. We reviewed the commonly used imaging sensors and remote sensing platforms with the comparisons of their strengths and limitations and summarized the main applications of the remote sensing technologies in potato. As a result, this review could update potato agronomists and farmers with the latest approaches and research outcomes, as well as provide a selective list for those who have the intentions to apply remote sensing technologies to characterize potato traits for precision agriculture.

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Late Wilt of Maize: The Pathogen, the Disease, Current Status, and Future Perspective

Degani

2023

Plant Pathogen Interaction

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Remote evaluation of maize cultivars susceptibility to late wilt disease caused by Magnaporthiopsis maydis

Cited by 10 publications

References 35 publications

Cultivars Resistance Assay for Maize Late Wilt Disease

Cultivars Resistance Assay for Maize Late Wilt Disease

A review of remote sensing for potato traits characterization in precision agriculture

Late Wilt of Maize: The Pathogen, the Disease, Current Status, and Future Perspective

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