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Response Of Nilaparvata Lugens (Stal.) Hemiptera; Delpacidae To The Application Of Deltamethrin Insecticides At Sublethal Concentrations Awaluddin, Awaluddin; Waode Siti Anima Hisein; Siska Efendi; La Oge; Cecep Ijang Wahyudin
Journal of Agriculture, Agribusiness, Welfare, Technology, Humanity, Environment, Social, and Economy Vol. 1 No. 4 (2026): Januari 2026 Edition
Publisher : Fakultas Teknologi Pertanian Unsultra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64690/agrones.v1i4.579

Abstract

The initial population of Nilaparvata lugens was obtained from the field and developed in the entomology and toxicology laboratory of the plant protection department of Halu Oleo University. This study began with mass cultivation of the N. lugens insect pest. This was followed by selecting the LC50 concentration based on mortality at 72 hours after treatment. The results of the probit analysis found an LC50 value 3.16 ml/L for the insecticide deltamethrin. The high recommended concentration found for the insecticide deltamethrin is suspected because it is not recommended for use on N. lugens in rice fields. Increasing the frequency of application at sublethal concentrations (LC10 and LC25) was shown to trigger an increase in the resurgence ratio of 1.50 and 1.70 times, respectively, compared to the control group.
Development of Precision Feed Technology Model for Ruminant Livestock Based on Nutritional Sensors Hajar Hajar; Inal Inal; Awal Maulid Sari; La Oge
Journal of Agriculture, Agribusiness, Welfare, Technology, Humanity, Environment, Social, and Economy Vol. 1 No. 4 (2026): Januari 2026 Edition
Publisher : Fakultas Teknologi Pertanian Unsultra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64690/agrones.v1i4.627

Abstract

Feeding is a key factor in ruminant livestock production systems, often ignoring the variations in individual nutritional needs of livestock, reducing efficiency and increasing feed waste. Therefore, this study aims to examine and develop a precision feeding technology model concept for ruminant livestock based on nutritional sensors through a descriptive-interpretive approach based on the latest scientific literature. The results show that the use of nutritional sensors, rumen sensors, feed consumption sensors, and feeding behavior sensors allows for real-time monitoring of livestock physiological conditions and nutritional status. Integration of sensor data into an adaptive nutrition model has been shown to improve the accuracy of estimating individual nutritional requirements, reduce the risk of overfeeding and underfeeding, and increase feed efficiency. Further discussion shows that although precision feeding technology has developed rapidly, its application is still dominated by intensive livestock systems in developed countries.