Sesame post-harvest loss from small-scale producers in Kafta Humera District, Ethiopia

Abstract

Sesame post-harvest loss and its determinants in Kafta Humera, Ethiopia of cross-sectional data were obtained from interviewing 128 producers and measurement at 56 fields. The loss found were at harvesting (16.41%), drying (50.44%), un-threshed (11.55%), piles transportation (9.9%), storage (6.73%), cleaning (3.2%), and leads total loss of 23.7% (4260 Birr/ton). The significant determinants of sesame post-harvest loss found were sesame produced, weather, transportation mode, piles transported distance, stacking days, educational level, farm distance, land size, and extension contact. This study so recommends strengthening education, extension, credit, nearby follow up, and frequently visit for reducing sesame post-harvest loss. Introduction of sesame harvesting and drying technologies and machineries are also better in reducing sesame post-harvest losses.

The cost of postharvest losses in Ethiopia: economic and food security implications

“…The total production of sesame over the 10 years selected for this research was 2,813,782 tonnes as estimated by [ 17 ]. The PHL level for sesame is about 17% as reported by Desale, Jema, & Bosena (2019) ​[ 23 ], which results in a total volume loss of 478,343 tonnes of this highly valuable crop.…”

Critical Period for Weed Competition in Sesame under Iraqi Irrigated Areas

“… Seed Yield (ton ha -1 ): It was calculated as an average of the Ten harvested plants, and then the weight was converted based on ton ha -1 by multiplying the individual plant yield by the plant density in hectares. The acceptable final seed loss rate was estimated based on previous studies [10,11]  Statistical Analysis: The SASS 9.0 version was used to conduct a statistical analysis of the data by the experimental design and the least significant difference test (L.S.D.) was employed to compare the arithmetic means of the data at a significance level of 0.05 [12].…”

Yield and Quality of Sesame Under Various Weed Removal Periods and Predicting the Optimum Weed Control Time

“… Seed Yield (ton ha -1 ): It was calculated as an average of the Ten harvested plants, and then the weight was converted based on ton ha -1 by multiplying the individual plant yield by the plant density in hectares. The acceptable final seed loss rate was estimated based on previous studies [11,12].  Statistical Analysis: The SASS 9.0 version was used to conduct a statistical analysis of the data by the experimental design and the least significant difference test (L.S.D.)…”