Abstract:
The baobab tree, Adansonia digitata, is a climate-resilient indigenous species native to sub-Saharan Africa that offers significant nutritional and economic potential through its pulp and seeds. This study investigated the proximate composition of baobab seeds collected from three distinct agro-ecological zones: Mashonaland East, Masvingo, and Manicaland, to assess how geographic origin influences nutritional quality. Standard AOAC protocols were used to analyze moisture, ash, crude protein, fat, fiber, and carbohydrate content. Results revealed regional differences: Manicaland exhibited the highest mean moisture (6.22 ± 0.02%) and crude protein (20.5 ± 0.01%) levels, while Mashonaland East had the highest crude fat content (23.9 ± 0.03%). Masvingo recorded elevated carbohydrate levels (39.7 ± 0.05%) and antinutrient concentrations, including tannins (10.12 ± 1.02 g/100g), phytates (4.56 ± 0.23 g/100g), and oxalates (2.64 ± 0.02 g/100g). Statistical analysis using a one-way ANOVA test and the Tukey HSD test, revealed that a significant difference (p < 0.05) exists between seed composition from differing provinces. This reiterated the effect of genetic or environmental variation of A. digitata. It was observed that geographical location plays a significant role in impacting the nutritional composition of A. digitata, as different zones possess different compositions of macronutrients, micronutrients, and antinutrients. Such spatial effects are important in determining suitable zones suitable for the utilization of particular varieties of A. digitata. This can range from those rich with proteins for particular animal feed compositions or those rich with oil compositions. Consideration should be given to how A. digitata seed products should be valorized at national levels.
