Leaf Area Determination for Sesame (Sesamum indicum), Wheat (Triticum aestivuma), Groundnut (Arechis hypogaea) and Bambaranut (Vigna subterrane) Crops Using Linear Measurements

Abstract

This study was carried out within the green house environment of the Faculty of Agriculture, Kogi State University (Latitude 7°.6¹N and Longitude 7°.43¹E) Anyigba in the Southern Guinea Savannah agro ecological zone of Nigeria during 2016 raining season. The experiment was laid using Randomized complete block design with 8 replicates. The treatment consisted of sesame, groundnut, wheat and bambaranut. Each treatment was repeated eight times, the results reveal K-coefficient for determination of leaf area to be 0.43, 0.62, 0.53 and 0.64 for sesame, groundnut, wheat and bambaranut respectively. The use of multiple regression equation improves the prediction over linear measurement. Also, simple and multiple regression analysis was carried out in other to increase precision in use of leaf area in the four treatments which are; sesame (Y=1563.632 + 0.409x₁, Y= 1563.632 + 0.409x₁ -45.73x₂), groundnut (Y = -3175.794 + 0.611x₁, Y= 3175.794+0.611x₁ +56.825x₂), wheat (Y= 376.084+0.265x₁, Y=376.084+ 0.265x₁-4.559x₂) and bambaranut (Y=162.603 + 0.615x₁, Y=162.603 + 0.615x₁ +15.677x₂). The data on leaf area and leaf number value of all the four crops were fitted into linear regression analysis separately as well as combined data, it shows significant difference or improvement over the use of linear measurement.

Keywords: K-Coefficient, Linear measurements, Simple and Multiple regression of Sesame, Wheat, Groundnut and Bambaranut.

DOI: 10.7176/JBAH/10-12-04

Publication date:June 30^th 2020