Leaf area models are simple, accurate and non-destructive. They are important in many experimental comparisons where leaf area meters are not available. No such model exists for African eggplant (Solanum macrocarpon). This study was, therefore, conducted to develop a leaf area model for S. macrocarpon using linear measurements. A total of 80 fully opened leaves of different sizes were randomly selected. The maximum Lamina length (L) and width (W) of leaf samples were measured. Each leaf margin was traced on standard graph paper. Leaf area was subsequently estimated from the number of squares within each tracing. While the linear functions of length or width measurements, and their squares or products explained 79-92% of variations in leaf area, the linear functions of the inverse of length or width measurements, and their squares or products explained about 40-68% of the variations. Regression analysis of leaf area obtained from graph tracing as dependent variable, L and W as independent variables revealed several models 2 2 that can be used for estimating the area of individual leaf.

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The experiment was laid out using randomized complete block design (RCBD) with six treatments comprising different colors of sticky traps, namely blue, black, white, red, yellow sticky traps and the uncolored sticky trap as a check (control). Results revealed that yellow sticky traps attracted and trapped the highest number of insect pest, and also had the highest pod yield of 186.90 kg ha-1 and seed yield of 163.80 kg ha-1 compared to other treatments. To produce organic pigeonpea seeds free from chemical metabolites, the use of yellow sticky traps to manage the population of insect pests in the farmers' field can be incorporated into pigeonpea IPM control strategy in, Nigeria.