Morphological and molecular markers based screening of maize hybrids against northern corn leaf blight

2020 ◽  
Vol 53 (1) ◽  
Author(s):  
Sadaf Naeem ◽  
Muhammad Tahir ◽  
Kiramat Khan ◽  
Amjad Hasan ◽  
Rafiq Ahmad
2019 ◽  
Vol 86 ◽  
Author(s):  
Juliane Nicolodi Camera ◽  
Carlos Alberto Forcelini ◽  
Jana Koefender ◽  
Diego Pascoal Golle ◽  
André Schoffel ◽  
...  

ABSTRACT: Northern corn leaf blight (NCLB) and common rust are among the primary fungal diseases affecting maize production. This study aimed to evaluate the susceptibility of ten maize hybrids to NCLB and to common rust and to verify the efficiency of fungicides in the chemical control of Exserohilum turcicum. In the first experiment, hybrids Pioneer (30F53, P1630H, P2530), Monsanto (AG 8045, AG 9045), Dow AgroSciences (2A550, 2A106 and 2B587) and Syngenta (SYN7205 VIPTERA, SW 3949 TL) were used and in the experiment for effectiveness of fungicides in the control of NCLB. The efficiency of fungicides propiconazole, azoxystrobin, cyproconazole + azoxystrobin, prothioconazole + trifloxystrobin, benzovindiflupir + azoxystrobin, cyproconazole + azoxystrobin + mancozeb were tested in the Pioneer P1630H hybrid. In both experiments, the leaf disease severity (%), yield and the weight of one thousand seeds were evaluated. The experimental design was carried out in randomized blocks with four replicates. The hybrids SYN7205, P2530, SW 3949 TL, 2B587, AG 9045, 2A550, P1630H, 2A106 and AG 8025 showed the smallest areas under the common rust severity progress curve. Hybrids AG9045, 30F53, and 2A550 presented the smallest areas under the NCLB progress curve. Hybrids AG8025, 2B587, P1630H, AG9045, 2A106, 2A550, present the highest yields. The fungicides prothioconazole + trifloxystrobin present the highest chemical control efficiency for NCLB and the lowest area under the disease progress curve (AUDPC).


Plant Disease ◽  
2021 ◽  
Author(s):  
Zhoujie Ma ◽  
Hongyan Hui ◽  
Yufei Huang ◽  
Yuan Yao ◽  
Yanqiu Sun ◽  
...  

Northern corn leaf blight (NCLB) caused by Setosphaeria turcica is one of the most devastating foliar diseases in maize (Zea mays), resulting in great economic losses worldwide. The mutation of the pathogen exacerbates the occurrence and harmfulness of NCLB in China. Therefore, there is an urgent need for evaluating and cultivating resistant hybrids. Here, the response of 239 maize hybrids approved in Northeast China to NCLB was evaluated during 2019 and 2020. The results showed that 92 (38.49%) and 75 (31.38%) hybrids were rated as moderately resistant and resistant, respectively, which together constituted the predominant resistant categories. We observed that maize hybrids from different certified sources had different levels of resistance to NCLB, whose disease parameter values varied significantly (P <0.05) among 52 main cultivated hybrids. In 2019 and 2020, the average size of the lesions increased from 21.02 to 21.06 cm2, the average lesion density decreased from 1.36 to 1.33 lesions/100 cm2, and more than 30% of the hybrids registered final disease severity scores between 10% and 30%. The area under the disease progress curve of the main cultivated hybrids ranged from 57.96 to 986.86 cm2 in 2019 and from 50.75 to 1028.65 cm2 in 2020. Correlation analysis revealed a significant relationship (P <0.0001) among four disease parameters. Current research has shown that many maize hybrids in Northeast China are resistant to NCLB. This study should assist growers in purposefully selecting resistant commercial hybrids to contribute to the management of NCLB.


2021 ◽  
Vol 156 ◽  
pp. 104554
Author(s):  
Meng Zhang ◽  
Cheng Zhang ◽  
Sisheng Zhang ◽  
Huilin Yu ◽  
Hongyu Pan ◽  
...  

2016 ◽  
Vol 17 (1) ◽  
pp. 49-50 ◽  
Author(s):  
Trey Price ◽  
Myra Purvis ◽  
Hunter Pruitt

Northern corn leaf blight (NCLB) is an annual issue for corn producers throughout the United States. Consequently, researchers are constantly evaluating hybrids for resistance and fungicides for efficacy. In most cases, NCLB severity is evaluated by visually estimating the percentage of affected foliage. Perceptions of disease severity are variable among stakeholders; therefore, a rating scale was created using photo analysis software that may be used to increase accuracy of disease severity estimations. Accepted for publication 15 March 2016. Published 28 March 2016.


2018 ◽  
Vol 38 (5) ◽  
Author(s):  
Jianjun Wang ◽  
Zhennan Xu ◽  
Jing Yang ◽  
Xiaohuan Lu ◽  
Zhiqiang Zhou ◽  
...  

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