Nematicidal Activity of J211 Against on Tobacco.

Root-knot nematode () is the most widespread nematode affecting Solanaceae crops. Due to the lack of effective measures to control this nematode, its management can be achieved, using biocontrol agents. This study investigated efficacy of the antagonistic bacterial strain J211 isolated from tobacco rhizosphere soil against , and further assessed its role in controlling nematodes, both in pot and field trials.

Slippery-Liquid-Infused Electrostatic Flocking Surfaces for Marine Antifouling Application.

Most marine antifouling coatings rely on the release of toxic biocides to prevent fouling organisms from attaching, causing environmental pollution. This work proposes a biocide-free environmentally friendly marine antifouling strategy. Slippery-liquid-infused electrostatic flocking surfaces (S-EFSs) were prepared by combining electrostatic flocking and slippery liquid infusion.

Zwitterionic modified electrostatic flocking surfaces for diatoms and mussels resistance.

Environmentally friendly antifouling coatings without biocide release need to be developed. Herein, a vertical array of nylon fibers coated with poly(sulfobetaine methacrylate) (PSBMA) was prepared by the electrostatic flocking technique and free radical polymerization catalyzed by Fe, which are called zwitterionic electrostatic flocking surfaces (ZEFS). The ZEFS showed resistance to diatoms because the fiber diameter was smaller than the diatom size.

[Study on the Determination of the Maturity Level of Tobacco Leaf Based on In-Situ Spectral Measurement].

Discriminating the maturity levels of tobacco leaf with in-situ measurement can effectively reduce loss rate and quality decline due to misjudgment of the maturity levels of tobacco leaf. In the meantime, the regular way we use to determine the maturity levels of tobacco, which is depend on tobacco leaf age and judgment of tobacco grower, lacks of objectivity. So this paper proposed a method to identify maturity levels of tobacco leaf by using spectral feature parameters combined with the method of support vector machine (SVM).