Cereal grains complement legumes when consumed together in a beneficial ratio to gives good quality protein. Maize protein is deficient in lysine but rich in sulphur containing amino acids lacking in cowpea thereby complementing that to enhance the nutritive value of the moi-moi. Cowpea-white maize moi-moi samples were produced from cowpea and white maize blending ratio (%) of 95: 5, 90: 10 and 80: 20 while moi-moi produced from 100% cowpea (CP100:WM0) served as control sample. Proximate, mineral, vitamin and physicochemical composition were evaluated with standard analytical methods. Energy values were by calculation using Atwater general factor system (AGFS) and sensory scores were by subjective means with 25 semi-trained panellists. With increasing white maize substitution of cowpea, crude fibre (1.40-1.47%), ash (1.41-1.70%), carbohydrate (17.31-31.51%), energy (241.50-279.08 Kcal), vitamin A (1.33-1.63 μg/100g), calcium (17.07-18.94 mg/100g), magnesium (12.38-13.17 mg/100g), phosphorous (7.20-7.53 mg/100g) and colour (0.13-0.29) were increased. But moisture (48.53-37.82%), protein (20.52-18.82%), fat (10.02-8.64%), vitamin C (0.04-0.03 mg/100g), pH (6.05-5.83), and general acceptability (7.10-5.70) were decreased. The control sample, 100% cowpea moi-moi had the best organoleptic properties. Increasing substitution of cowpea with white maize resulted in acceptable moi-moi samples at lower levels with significant (p<0.05) nutritional changes.
Processing conditions and even the form of the food being processed as they affect nutrient availability is critical to develop structured foods to meet the nutritional needs of end users. The effect of heat treatments (roasting, boiling and autoclaving) on the physical, nutritional and functional properties of in-shell and shelled peanut (Arachishypogaea) was determined. Unprocessed shelled peanut served as the control. Nutrient and anti-nutrient compositions of peanut samples were determined by standard methods, while physical (colour) and functional properties were also carried out. Analysis of variance was used to analyze the treatment groups and Duncan's multiple range tests to determine significant difference at p≤0.05. The result of proximate composition revealed that raw peanut had protein (32.7%), ash (1.37%), fibre (5.15%), fat (42.9%) and carbohydrate (12.1%). However, processing methods significantly increased the fat and ash contents. Peanut is high in calcium, magnesium and potassium but low in iron and zinc; processing significantly increased the elemental concentration of peanut. Phytate, tannin, oxalate, alkaloid, trypsin inhibitor and flavonoid were determined in the peanut samples and all were significantly affected by the processing method employed. However, boiling of shelled peanut was more effective in reducing the anti-nutrients than roasting and autoclaving. The aflatoxin concentration was in a range of 2.06-8.05 ppb. Shelled peanuts subjected to the processing methods had lower aflatoxin levels compared with in-shell processed peanuts. There exist variation in bulk densities (packed and loosed), water and oil absorption capacities as a result of processing method employed. The colour of peanut was significantly affected by the processing method. In general, processing of shelled peanut resulted in flour with better nutritional quality and functionality than in-shell peanut. The findings showed that boiling has proved to be an efficient method in processing of peanut.
Resource use efficiency of yam production among smallholder farmers in Southeast, Nigeria was studied. The specific objectives of the study are to estimate the costs and returns in yam production, determine the allocative efficiency of yam production among small holder farmers, determine the different effects of yam cropping activities to the environment and identify and describe the limiting factor to yam production in the study area. A multi-stage random sampling technique was used to select 240 farmers and from which information needed for the study were elicited using a structure questionnaire. Cost and returns analysis, allocative efficiency model and distributive statistics such as percentage response and frequency distribution table were used to capture the objectives of the study. The result shows that yam production was profitable in the study area. Also, result of the allocative efficiency of the inputs shows that the farmers did not attain optimal allocative efficiency, since they either under - utilized or over utilized their resources. Yam production activities in form of clearing, burning, pesticides use, fertilizer use and tillage could result in among others wild Life habitation, oxygen – carbon dioxide balance, erosion, effect aesthetic, increases soil temperature, reduction of soil nutrient, human health and welfare and conversion of organic nitrogen into mobile nitrates. The constraints to yam production were high cost of labour, poor access to credit, poor access to extension services and high cost of labour. Improving farmers’ access to credit, fertilizer and extension contact were recommended.
The article reports the amino acid composition of Nigerian beef jerky meat called Kilishi. Kilishi is consumed dry, hence determination was on dry weight basis. Sample was purchased in Ado-Ekiti, Nigeria. Amino acid values were highest for non-essential amino acid in Glu (14.3 g100g-1) whereas from essential amino acid it was Lys (8.69 g100g-1). Other high value amino acids were (in g100g-1): Asp (8.85), Leu (7.68), Arg (6.02), Ile (4.08), Trp (1.02), Cys (1.18) and His (2.40). P-PER1,2,3values were superior at values of 2.52 – 2.70. EAAI1(soybean standard) was 1.23 and EAAI2(egg standard) was 94.5 with corresponding BV of 91.3. Lys/Trp was very high at 8.55 and Met/Trp was 2.38. Values of TNEAA was 52.1 g100g-1(57.7%) and TEAA was 38.2 g100g-1(42.3%). In the egg score comparison Ser (0.461) was the limiting amino acid (LAA) with protein corrected digestibility value of 0.338; in provisional EAA scoring pattern, LAA was Val (0.882) and corrected version was 0.742; in pre-school children requirement, LAA was Trp (0.927) and corrected value of 0.780. Variation percentage values between the scores/corrected scores were virtually 12.2% per parameter compared. Correlation values between each score standard/corrected score values were significantly different at r=0.01with values of 0.9997 – 0.99999. Estimates of amino acid requirements at ages 10 – 12 years (mg kg-1day-1) showed kilishi to be better than the standards at 74.9% - 453%. Results showed that kiishi is protein-condensed.
The possibility of improving growth and yield of broad bean (Vicia fabaL.) plants grown in newly cultivated land was conducted during the two successive seasons of 2018 and 2019. For achieving this aim, broad bean plants were fertilized with different rates of organic fertilizers (poultry or farmyard manures) and minerals (NPK). Different growth parameters, chemical constituent and yield were determined in this study. The results indicated that organic fertilized plants achieved higher values of different growth parameters (plant height, number of branches, plant leaf lets blade area and dry weight / plant) and yield and its components (number of pods / plant, no of seeds / pod, weight of seeds / pod, weight of 100 seeds and weight of seeds / plant). The best results were obtained when the plants were fertilized with high rate of poultry manure (8 tons) and NPK fertilizers (50 kg ammonium nitrate 33.5% + 200 kg superphosphate 15.5% + 50 kg potassium Sulphate 48%). The present results also show that the concentration of chlorophyll. A, b, carotenoids, crude proteins, total free amino acids, total carbohydrates, total sugars, reducing sugars an non soluble carbohydrates recorded the higher values in both leaves and seeds of those plants fertilized with either poultry or farmyard manures when compared with those fertilized with NPK. The present study clearly shows that the best effect was recorded by supplying the plants with poultry manure(8 tons + NPK nutrients (50 kg ammonium nitrate 33.5% + 200 kg superphosphate 15.5% + 50 kg potassium Sulphate 48%).
