Establish real-time monitoring models of cotton aphid quantity based on different leaf positions in cotton seedlings

Authors

  • Jiao LIN Shihezi University, College of Agriculture/ The Key Laboratory of Oasis Ecology Agricultural, Xinjiang Production and Construction Group, Shihezi 832003 (CN)
  • Jing-Cheng XU Shihezi University, College of Agriculture/ The Key Laboratory of Oasis Ecology Agricultural, Xinjiang Production and Construction Group, Shihezi 832003 (CN)
  • Lu-Lu MA Shihezi University, College of Agriculture/ The Key Laboratory of Oasis Ecology Agricultural, Xinjiang Production and Construction Group, Shihezi 832003 (CN)
  • Tian-Ying YAN Shihezi University, College of Information Science and Technology, Xinjiang Production and Construction Group, Shihezi 832003 (CN)
  • Cai-Xia YIN Shihezi University, College of Agriculture/ The Key Laboratory of Oasis Ecology Agricultural, Xinjiang Production and Construction Group, Shihezi 832003 (CN)
  • Xin LV Shihezi University, College of Agriculture/ The Key Laboratory of Oasis Ecology Agricultural, Xinjiang Production and Construction Group, Shihezi 832003 (CN)
  • Pan GAO Shihezi University, College of Information Science and Technology, Xinjiang Production and Construction Group, Shihezi 832003 (CN)

DOI:

https://doi.org/10.15835/nbha49112163

Keywords:

cotton aphid; cotton seedling; leaf stage; monitor model; quantity rules

Abstract

Cotton aphids, Aphis gossypii glover, are major pest threats to cotton plants, leading to quality and yield loss of cotton. Rapid and accurate evaluation on the occurrence and quantity of cotton aphids can help precision management and treatment of cotton aphids. The occurrence rules of cotton aphids on different leaf positions in cotton seedling stage for two cultivars of cotton were studied. The quantity of cotton aphids in the whole cotton seedlings were predicted based on the single leaf cotton aphid quantity. The correlation analysis results showed that cotton aphids of single leaf were significantly and positively correlated with the infected time, the all leaves of the whole plant, the whole plant contained all leaves and branches. The variance analysis results showed that cotton aphids of single leaf were significant difference with the extension of infected time. Based on different leaf positions, monitoring models were constructed respectively. The modelling set’s determination coefficient of ‘Xinluzao-45’ was greater than 0.8, while ‘Lumainyan-24’ was greater than 0.6. The best monitoring leaf position was the third for ‘Xinluzao-45’, the sixth for ‘Lumianyan-24’. From the data analysis, we can realize that it is feasible to construct a monitoring model based on the occurrence of cotton aphid in one leaf in cotton seedling, and different cotton varieties have different leaf positions. This will greatly reduce the investment of manpower and time.

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Published

2021-03-22

How to Cite

LIN, J., XU, J.-C., MA, L.-L., YAN, T.-Y., YIN, C.-X., LV, X., & GAO, P. (2021). Establish real-time monitoring models of cotton aphid quantity based on different leaf positions in cotton seedlings. Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 49(1), 12163. https://doi.org/10.15835/nbha49112163

Issue

Vol. 49 No. 1 (2021)

Section

Research Articles
CITATION
DOI: 10.15835/nbha49112163

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Copyright (c) 2021 Jiao LIN, Jing-Cheng XU, Lu-Lu MA, Tian-Ying YAN, Cai-Xia YIN, Xin LV, Pan GAO

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