HUBEI AGRICULTURAL SCIENCES ›› 2022, Vol. 61 ›› Issue (16): 88-91.doi: 10.14088/j.cnki.issn0439-8114.2022.16.015

• Plant Protection • Previous Articles     Next Articles

Optimization and screening of artificial diet for Spodoptera litura with “leaf powder factor”

DU Juan1, YU Hong-chun2   

  1. 1. Yakeshi Rural Revitalization Promotion Center of Inner Mongolia, Yakeshi 022150, Inner Mongolia,China;
    2. College of Agriculture, Northeast Agricultural University,Harbin 150030,China
  • Received:2021-09-07 Online:2022-08-25 Published:2022-09-14

Abstract: The artificial feed with different leaf powder ingredients was used to feed 5 generations of Spodoptera litura continuously. The “leaf powder factor” ingredient feed which was beneficial to the growth and development of Spodoptera litura was screened. The results showed that the survival rate, pupation rate and emergence rate of 2~5 generations of Spodoptera litura larvae fed the artificial diet supplemented with cabbage (Brassica pekinensis) leaf powder were the highest; the survival rate, pupation rate, pupal weight and eclosion rate of the five generations were significantly higher than those of larvae fed the artificial diet without leaf powder and the natural diet. With the increase of rearing generations, the survival rate and pupation rate of larvae decreased the least, and there was no significant difference in emergence rate among generations, which was suitable for continuous feeding in the laboratory. The survival rate, pupal weight and eclosion rate of larvae fed the artificial diet supplemented with Chenopodium album leaf powder were significantly higher than those of larvae fed the artificial diet without leaf powder and the natural diet. However, the average pupation rate and pupal weight of larvae fed the artificial diet supplemented with Chenopodium album leaf powder were significantly different from those of larvae fed the artificial diet supplemented with cabbage leaf powder.

Key words: Spodoptera litura, artificial diet, leaf powder factor, optimization and screening

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