PROXIMATE ANALYSIS ON LEAVES OF CASSAVA PLANT OBTAINED FROM A ROAD SIDE FARM
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Pages: 75-90
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Chapters: 1 to 5
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Chapter one
INTRODUCTION
Background of the study
Cassava (Manihot esculenta Crantz) is a highly valuable crop in tropical areas, grown for its edible roots. Cassava leaves are also frequently consumed around the world, particularly in Africa and Asia, where they are used as a vegetable in soups, stews, and other recipes.
Cassava leaves are high in nutrients and have been linked to a number of health advantages. However, the nutritional value of cassava leaves varies based on a number of factors, including type, growth conditions, and harvest timing.
As a result, it is critical to study the nutritional composition of cassava leaves collected from various sources in order to determine their nutritional worth and potential as a food or feed resource.
Proximate analysis is a popular approach for determining the nutritional content of foods and feed. Proximate analysis determines the quantities of moisture, crude protein, crude fat, crude fibre, ash, and carbs in a sample.
This information can be used to assess a food’s nutritional worth and possible applications. In recent years, there has been a growing interest in the proximate study of cassava leaves, particularly in developing nations where cassava is a major food crop and its leaves are utilised as animal feed.
Roadside farms are popular in many underdeveloped nations and serve as a vital source of food for local communities.
However, pollution from surrounding roadways, soil contamination, and a lack of sufficient irrigation can all have an impact on the quality of products grown on roadside farms.
As a result, evaluating the nutritional composition of crops acquired from roadside farms is critical for determining their quality and potential as a source of food or feed.
The purpose of this study was to determine the nutritional composition of cassava plant leaves collected from a roadside farm using proximate analysis. The findings of this investigation will shed light on
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