The efficacy of the reduced rates of 1,3-D+abamectin for control of Meloidogyne incognita in tomato production in China

Qiao, Kang; Duan, Haibao; Wang, Hongyan; Wang, Yang; Wang, Kaiyun; Wei, Min

doi:10.1016/j.scienta.2014.08.018

Cited by 6 publications

(5 citation statements)

References 16 publications

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“…Abamectin (5-O-demethylavermectin A1a (i) mixture with 5-O-demethyl-25-de (1-methylpropyl)-25-(1-methylethyl)avermectin) is highly toxic nematicide commonly-used to control RKN in China [ 18 , 19 ]. Abamectin (ABM) is produced commercially as a natural fermentation product by the soil bacterium Streptomyces avermitilis .…”

Section: Introductionmentioning

confidence: 99%

Effect of soil fumigants on degradation of abamectin and their combination synergistic effect to root-knot nematode

Huang

Wang

et al. 2018

PLoS ONE

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BackgroundRoot-knot nematode (Meloidogyne spp., RKN) causes a disease that significantly reduces the yield of greenhouse cucumber crops year after year. Chemical control based on a single pesticide is now unreliable mainly due to pest resistance. Fumigant and non-fumigant pesticide combinations can potentially result in effective and economic RKN control.ResultsCombining the insecticide abamectin (ABM) with fumigants dazomet (DZ) or chloropicrin (CP) significantly extended the half-life of ABM by an average of about 1.68 and 1.56 times respectively in laboratory trials, and by an average of about 2.02 and 1.69 times respectively in greenhouse trials. Laboratory experiments indicated that all the low rate ABM combination treatments controlled RKN through a synergistic effect. ABM diffused into the nematode epidermis more rapidly when ABM was combined with DZ and CP, giving effective nematode control and an increase cucumber total yield, compared to the use of these products alone. ABM combined with CP or DZ produced significantly higher total cucumber yield than when these products were used alone.ConclusionsA low concentration of ABM combined with DZ in preference to CP would be an economic and practical way to control nematode and soilborne fungi in a greenhouse producing cucumbers.

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Section: Introductionmentioning

confidence: 99%

Effect of soil fumigants on degradation of abamectin and their combination synergistic effect to root-knot nematode

Huang

Wang

et al. 2018

PLoS ONE

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“…Abamectin combined with 1,3-dichloropropene (1,3-D) effectively inhibited M. incognita . The control efficacy of the combined treatment was higher than that of 1,3-D used alone and the tomato yields were increased ( Qiao et al, 2014 ).…”

Section: Discussionmentioning

confidence: 99%

“…Abamectin can be used in combination with other nematicides, such as 1,3-dichloropropene (1,3-D), fosthiazate, and microbial nematicides. These combinations have potential for controlling M. incognita in tomato and cucumber fields in China ( Qiao et al, 2012 ; Huang et al, 2016 ; Qiao et al, 2014 ; Huang et al, 2014 ). Abamectin can reduce populations of Meloidogyne paranaensis in coffee fields during transplantation, or 60 days later, and it is not phytotoxic to coffee plants ( Arita et al, 2020 ).…”

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confidence: 99%

Mixtures of fluopyram and abamectin for management of Meloidogyne incognita in tomato

et al. 2020

Journal of Nematology

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The southern root-knot nematode (RKN), Meloidogyne incognita , causes significant damage to vegetable production and is a major problem in greenhouse tomatoes. The effect of a combination of fluopyram and abamectin, at a mass ratio of 1:5, was studied for RKN control. Pot trials showed that fluopyram, abamectin, and their combination at three dosages increased the height, stem diameter, root fresh weight, shoot fresh weight, and the root length of tomato plants. The RKN control efficacy of the 1:5 combination at 450 g a.i./ha was 74.06% at 30 days after transplanting (DAT), and the control efficacy of the combination at 337.5 and 450 g a.i./ha differed significantly from those of other treatments at 60 DAT. The root-galling index (RGI) control efficacy of the combination at 450 g a.i./ha and of fluopyram (41.7% SC) only at 450 g a.i./ha were better than the control efficacies of other treatments, and these two treatments significantly increased root activity. Field trial results showed that the soil nematode control efficacy was similar to that of the pot trials at 30 and 60 DAT. The RGI control efficacy of the combination at 337.5 and 450 g a.i./ha and of fluopyram (41.7% SC) only at 450 g a.i./ha differed significantly from those of the two other treatments. The tomato yields of the 1:5 combination at 450 g a.i./ha were increased by 24.07 and 23.22% compared to the control in field trials during two successive years. The combination of fluopyram and abamectin provides good nematode measure, and it can increase tomato yields. It provides an effective solution for the integrated management of southern RKN.

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“…Grading is a key measure to commercialize agricultural products, and thus improve the economic efficiency of agriculture [1]. The annual yield of tomatoes in China reaches 34 million tons [2], calling for the design of an automated tomato grading system that reduces intense manual labor and makes grading repeatable and accurate.…”

Section: Introductionmentioning

confidence: 99%

Design of a tomato classifier based on machine vision

Liu

Yu-fei

et al. 2019

PLoS ONE

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This paper attempts to design an automated, efficient and intelligent tomato grading method that facilitates the graded selling of the fruit. Based on machine vision, the color images of tomatoes with different morphologies were studied, and the color, shape and size were selected as the key features. On this basis, an automated grading classifier was created based on the surface features of tomatoes, and a grading platform was set up to verify the effect of the classifier. Specifically, the Hue value distributions of tomatoes with different maturities were investigated, and the Hue value ranges were determined for mature, semi-mature and immature tomatoes, producing the color classifier. Next, the first-order Fourier descriptor ( 1D- FD ) was adopted to describe the radius sequence of tomato contour, and an equation was established to compute the irregularity of tomato contour, creating the shape classifier. After that, a linear regression equation was constructed to reflect the relationship between the transverse diameters of actual tomatoes and tomato images, and a classifier between large, medium and small tomatoes was produced based on the transverse diameter. Finally, a comprehensive tomato classifier was built based on the color, shape and size diameters. The experimental results show that the mean grading accuracy of the proposed method was 90.7%. This means our method can achieve automated real-time grading of tomatoes.

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The efficacy of the reduced rates of 1,3-D+abamectin for control of Meloidogyne incognita in tomato production in China

Cited by 6 publications

References 16 publications

Effect of soil fumigants on degradation of abamectin and their combination synergistic effect to root-knot nematode

Effect of soil fumigants on degradation of abamectin and their combination synergistic effect to root-knot nematode

Mixtures of fluopyram and abamectin for management of Meloidogyne incognita in tomato

Design of a tomato classifier based on machine vision

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