Impact of cold concentrations of neem leaf extract and their efficacy on some identified insect pests associated with soybean (Glycine max (l) Merrill) in Asaba, Nigeria
Year: 2022
Type: article
Abstract: This study identified and categorized some insect pests associated with soybean and the damage caused during the early and late planting seasons of 2021. Five treatments (50g, 100g, 150g, 200g Neem Leaf Cold Extract and Control were laid out using Randomized Complete Block Design with four replicates, while data on insects were calculated to know their relative abundance (%) after being subjected to identification and classification. Thirteen insect species from 5 orders and 8 families were identified at early planting, while 9 insect species from 4 orders and 4 families were identified at late planting season. Insects of the orders; Coleoptera, Lepidoptera, Hemiptera, Orthoptera and Diptera were identified. Coleoptera had a higher prevalence level. Pest infestation was higher at late planting. Damages caused by insect pests ranged from leaf defoliation, leaf scarification, and sap-sucking to pod sucking. Neem leaf cold extract (NLCE) concentrations had efficacy in controlling insect pests associated with soybean. Insect population was reduced from 51 to 24 and 66 to 21 insect numbers at early and late planting repectively with 200g NLCE. Yield parameters in early planting were significantly different (p > 0.05) from late planting. 100g NLCE recorded 1.9 t/ha seed yield as the highest yield, while 150g and 200g NLCE with Control had 1.4 t/ha respectively at early planting. Yield from early planting did better compared to late planting. Farmers are advised to use Neem Leaf Cold Extract to control insect pests associated with soybean in Asaba. 100g, 150g and 200g concentrations are recommended.
Author: Ogbinaka Ewoma Jimmy Andrew, Ehigie Osarobo Henry, Edema Ibe Oghenevo, Emosairue Stephen Ogagaoghene, Tobih Francis Okiemute
Language: English
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: hybrid
OpenAlex ID: W4415849793