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This study was conducted to compare the efficacy of Lecture-Based-Learning (LBL) and Cooperative-Learning (CL) in teaching 'classification of living things' to Senior High School (SHS) students in Tamale, Northern Region, Ghana. The study was conducted in two SHSs using two science classes offering Biology during the 2020–2021 academic year. A pretest-post-test nonequivalent quasi-experimental design with two experimental groups was used. A total of 75 students from two intact classes participated in the study. One of the classes (School A) comprising 39 students was taught using LBL while the other class (School B) comprising 36 students was taught using CL. The study used a teacher-made test to collect the data. The data was analyzed using reliability analysis and a t-test in SPSS. Results revealed that CL recorded a mean score of 30.33 and was more effective (p <.001) than LBL which recorded 23.26. In conclusion, CL methods should be encouraged to enhance students' performance and retention. [ABSTRACT FROM AUTHOR]

The use of an appropriate design is a very important aspect of agroforestry experimentation. Since different species of trees may interact spatially, plots in agroforestry could be connected through network of trees which would create non-directional adjacency effects on a plot. Hence, there is a need to take the "direct effect of trees" and "tree network effects" on the crop into account when designing an agroforestry experiment. Tree network effect refers to the influence a tree exerts on the surrounding plots as a result of adjacency of the plots. In this paper, a class of network designs incorporating effects of trees from adjacent plots has been obtained. The characterization properties of the designs have also been studied. The designs are found to be variance balanced for the estimation of direct as well as network effects of trees. They are also highly efficient designs, and hence, are recommended for agroforestry experimentation with multiple tree species and a single crop. [ABSTRACT FROM AUTHOR]

The characterisation of the small ruminant populations in developing countries will play a major role in the maintenance of the genetic resources as the basis for future improvement in livestock production. The present study aimed at morphological characterisation of the two main breeds of sheep in Ghana by assessing variation within and between breed populations using principal component and discriminant analyses. The two breeds were the Sahel and the Djallonke sheep of both sexes and of two groups namely, young (1 year old, consisting of 74 animals) and mature sheep (≥ 2 years old, comprising 219 animals). The analysis of variance revealed significant (P < 0.05) differences in the morphological traits of the Sahel and the Djallonke sheep breeds with higher values recorded for the former. Sexual dimorphism was in favour of male animals in all the morphological traits examined. Mature animals also had comparative advantage over the young. Two principal components were extracted to discern the structure of the two genetic groups. The most discriminating traits between the two sheep breeds were rump height, height at withers, neck girth and pin-bone width. Mahalanobis distance between the two genetic groups was 5.723 (P < 0.0001). The developed discriminant functions clearly discriminated and classified the Sahel and the Djallonke sheep into their breeds of origin, thus yielding 100, 93.4 and 90.4 % accurate classification for the rams, ewes and the overall sheep population, respectively. The present approach would greatly help in establishing management and conservation policies for the sustainable production of the two Ghanaian sheep breeds.