Essay --

In this study the Bayesian inference will in conditioned on data and not on the design for in exploring Bayesian approach in crops trials. Our main interest was to ascertain how Bayesian methods have been applied in the design and analysis of real data of estimation of a single crop variety trial in block designs, genetic gain, genotypic and phenotypic correlations, and genotypes by environment integration, stability analysis and breeding values. The methodology for the literature search Bayesian methods in crop trials. Yuen and Mila (2012) state that a Bayesian approach is useful in plant pathology. Bayesian inference, based on probability is a convenient way to deal with these sorts of problem. The main difficulty with likelihood methods are optimization problems such as multiple modes, solution of likelihood equations etc., whereas integration problem is more often associate with Bayesian approach that largely due to the advancement in Markov Chain Monte Carlo (MCMC) methods, esp ecially Gibbs sampling techniques. WinBUGS (the Windows version of Bayesian inference Using Gibbs Samp...