Garba, M. K.Akanni, S. B.Yahya, W. B.Kareem, K. Y.Afolayan, R. B.2021-10-122021-10-122020-03-20https://www.slujst.com.ng/index.php/jst/issue/view/2https://uilspace.unilorin.edu.ng/handle/20.500.12484/6604In this study, we employed the techniques of Toda-Yamamoto causality test to determine the direction of causality among Cereals Production (CP), Land used for Cereals Production (LP) and Cereal Yields (CY) in Nigeria for the period of 50 years (1966 to 2016).The maximum order of integration and optimal lag order of the series confirmed that VAR (2+1) model best fitted the data. Results from the fitted model estimates revealed that two year past values t-2 (2014 and 2015) of CP is the major determinant of CP series in current time period t (2016) while one year past value t-1 (2015) of CY and two year past values t-2 (2014 and 2015) of CP and LP are major determinants of CY series in current time period t (2016).The results of Toda-Yamamoto causality test showed that CY is Granger-caused by both CP and LP.Cereals ProductionOrder of IntegrationOptimal Lag OrderToda-Yamamoto CausalityNigeriaArticle