| dc.description.abstract | Soybean (Glycine max (L.) Merrill) is among the most valuable crops worldwide due to its numerous uses in human food and animal feed. The agronomic traits and yield components of soybean could facilitate on the expansion of knowledge important in improvement of seed yield. However, little information has been studied on the agronomic and yield components of Makerere University Center for Soybean Improvement and Development (MAKCSID) and SEEDCO soybean varieties. The objectives of the study were to; (i) assess the agronomic traits and yield component, (ii) determine the relations between the agronomic traits and yield components for the twelve soybean varieties. Twelve soybean varieties (Sc saxon, Sc squire, Sc signal, Sc sequel, Sc sentinel, Sc status, Sc saga, Maksoy 1N, Maksoy 2N, Maksoy 3N, Maksoy 4N and Maksoy 5N.) were planted on 7th October 2019, in a randomized complete block design (RCBD) at Makerere University Agricultural Research Institute Kabanyolo (MUARIK). The Analysis of variance revealed significant differences within the genotypes for most of the traits. Seed yield (KgHa-1) was the focus of the Correlation coefficient analysis for both agronomic traits and the yield components. 100 seed weight, number of internodes per plant and number of pods per plant had exceptionally strong correlation coefficients with seed yield (KgHa-1) as opposed to all the agronomic traits. The path coefficient analysis revealed the direct, indirect and total effect individual parameters correlate with each other and also with yield components. Number of pods per plant and number of internodes per plant showed exceptional standardized total effect towards seed yield (KgHa-1). Therefore, during variety development for improved seed yield special focus should target ways of improving number of pods per plant and number of internodes per plant. | en_US |
