Li-gang Pan, Dong Wang, An-liang Chen, Shao-yong Zhang, Jin-wei Jia, Ji-hua Wang, and An Li


  1. [1] L.L. Zhao, S. Zhang, W. Wei, et al., Chemical signals synchronize the life cycles of a plant-parasitic nematode and its vector beetle, Current Biology, 23(20), 2013, 2038–2043.
  2. [2] H. Melakeberhan, P.M.A. Toivonen, W.E. Vidaver, et al., Effect of Bursaphelenchus xylophilus on the water potential and water-splitting complex of photosystem II of Pinus sylvestris seedling, Physiological and Molecular Plant Pathology, 38(2), 1991, 83–91.
  3. [3] M. Roriz, C. Santos, and M.W. Vasconcelos, Population dynamics of bacteria associated with different strains of the pine wood nematode Bursaphelenchus xylophilus after inoculation in maritime pine (Pinus pinaster), Experimental Parasitology, 128(4), 2011, 357–364.
  4. [4] J.S. Kang, Y.H. Koh, Y.S. Moon, and S.H. Lee, Molecular properties of a venom allergen-like protein suggest a parasitic function in the pinewood nematode Bursaphelenchus xylophilus, International Journal for Parasitology, 42(1), 2012, 63–70.
  5. [5] T. Jiang, D. Ren, and S.X. Yang, Guest editorial: Theoretical investigation of dependable computing, Intelligent Automation & Soft Computing, 17(5), 2011, 493–495.
  6. [6] N. Maehara, Reduction of Bursaphelenchus xylophilus (Nematoda: Parasitaphelenchidae) population by inoculating Trichoderma spp. into pine wilt-killed trees, Biological Control, 44(1), 2008, 61–66.
  7. [7] J.X. Fan, H.H. Huang, M.H. Qian, and Y.H. Huang, Study on the diagnostic methods of Pinewood Nematode, Journal of Guangdong Forestry Technology. 2008, 24(5), 52–55.
  8. [8] W. Liu, B.J. Yang, F.Y. Xu, et al., Study on early diagnosis for pine wilt disease caused by Bursaphelenchus xylophilus, Forest Research, 11(5), 1998, 455–460.
  9. [9] F.M. Chen, J.R. Ye, X.Q. Wu, et al., SCAR marker and detection technique of Bursaphelenchus xylophilus, Scientia Silvae Sinicae, 48(3), 2012, 88–94.
  10. [10] G. Bai, Y. Wang, H.Z. Ma, et al., Development and application of an immunoassay method for identification of Bursaphelenchus xylophilus in pinewood, Scientia Silvae Sinicae, 41(2), 2005, 91–95.
  11. [11] D. Ren, F. Qu, and K.A. Lv, Gradient descent boosting spectrum modeling method based on back interval partial least squares, Neurocomputing, 171, 2016, 1038–1046.
  12. [12] D.V. Nguyen, L. Kuhnert, and K.D. Kuhnert, General vegetation detection using an integrated vision system, International Journal of Robotics & Automation, 28(28), 2013, 170–179.

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