Abstract

The present investigation was carried out at Giza Agricultural Experiments and Research Station, Agricultural Research Center (ARC), Giza, Egypt during the two successive seasons 2018 and 2019 to evaluate three soybean genotypes (Giza 35, Crawford and DR10l) to infestation with lima bean pod borer using four bio and chemical insecticides (Diple-2x 6.4% DF, Biover10 % WP, Suncide Agri-pest and Lannate 25% WP) for increasing seed yield and net return. The treatments were four insecticides (Diple-2x 6.4% DF, Biover10 % WP, Suncide Agri-pest and Lannate 25% WP) beside water as control and three soybean genotypes (Giza 35, Crawford and DR10l). Split-plot distributions in a randomized complete block design with three replications were used. Insecticide sources were randomly assigned to main plots and soybean genotypes were allocated in subplots. The results showed that the bacterial insecticide Diple-2x 6.4% DF recorded lower pod infestation and seed damage than the other insecticides. Soybean genotype DR10l had lower pod infestation and seed damage, meanwhile the reverse was true for soybean genotype Crawford. Soybean variety Giza 35 recorded higher most yield traits than the soybean genotypes Crawford and DR10l. Soybean genotypes x insecticide sources interaction was significant for pod infestation, seed damage, seed yield per plant, 100-seed weight, seed yield per ha, and HI in both seasons. Spraying of the bacterial insecticide Diple-2x 6.4% DF in the flowering stage of soybean variety Giza 35 enhanced its tolerance to lima bean pod borer infestation with higher seed yield and net return than the other treatments.

Keywords: Soybean Genotypes; Insecticides Treatments; Lima Bean Pod Borer; Net Return

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Citation

Citation: Eman I Abdel-Wahab., et al. “Response of Three Soybean Genotypes to Lima Bean Pod Borer (Etiella zinckenella) Infestation Using Some Bio and Chemical Insecticides". Acta Scientific Agriculture 4.7 (2020): 181-195.

Copyright

Copyright: © 2020 Eman I Abdel-Wahab., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.