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Postharvest loss reduction, which will contribute to several sustainable development goals (SDGs) including SDG 1, 2, 3, 9, 12 and 13, is an important strategy for food and nutrition security. It requires interventions designed based on timely and reliable statistical data. However, lack of produce-specific loss data and associated factors along the postharvest value chain stages remains a challenge to implement appropriate interventions. Therefore, a survey was conducted on socio-demographic characteristics, postharvest practices, extent and causes of losses, and factors influencing postharvest loss of potato crops in Tiyo district of Arsi Zone, Ethiopia in 2022. A multistage sampling method was used to select a total of 209 smallholder potato farming household heads through a combination of purposive and simple random sampling techniques. Quantitative data collection was carried out online using computer-assisted personal interviewing (CAPI) by programming a semi-structured questionnaire in KoboCollect software for tablets. Descriptive statistics and ordinal probit regression model were used to analyze the collected data and determinant factors influencing postharvest loss of potatoes at various farm-level stages, respectively. An aggregate of 15-46% loss exists between harvesting and marketing. Losses during harvesting, sorting, cleaning, packaging, field-to-storage transport, storage, and storage-to-market transport were 58.9%, 6.2%, 2.9%, 2.4%, 3.8%, 20.1%, and 5.7%, respectively. Elevated loss during harvesting and storage in the area is likely to reflect poor handling and storage practices. The primary causes of losses were poor harvesting and handling techniques, poor storage facility, and insects and worms. Moreover, regression model estimations of categorical losses, as perceived by farmers, reveal that socio-demographic variables and postharvest factors influenced potato loss. During the harvest stage, working family members significantly (p Key words: CAPI, Ethiopia, ordinal probit regression, postharvest practices, potato loss determinants, INTRODUCTION Agriculture is the most important sector in Ethiopia; it accounts for 46% of GDP, 80% of export value, and about 73% of employment [1]. Vegetable production is becoming an [...]

A principal-multiple agent model is developed to analyze wildlife damage abatement and compensation programs in a setting whereby farmers sustain damages and hunters use the wildlife for recreational purposes. In addition to externalities inherent in abatement, abatement/compensation policy focuses on the issue of moral hazard. An evaluation of contracts in which transfers of severe hunting regulations and monetary payments from hunting license fees can be used to overcome moral hazard is also presented.

White-tailed deer reduce crop yields at the Gettysburg National Military Park and the Eisenhower National Historic site. The use of enclosures indicates that deer reduce winter wheat yield by 30%. The field corn yield drops by 20% in all fields, with two fields recording total crop loss.