Bayesian Credible Intervals for Maize Grain Yields of the Maintenance Varieties Evaluated in Sudan

Abdelmoniea Dafaalla,Ibrahim Nuraldin Alzain,Mohammed Salah Abdalla,Mohammed Salah Abdalla,Siraj Osman Omer

doi:10.3126/ijasbt.v5i3.18303

Abstract

Improved of maintenance crop varieties developed at agricultural research corporation, Wad median, Sudan is intended for seed foundation which is recently established. This study was undertaken to establish statistical investigation using Bayesian estimation for credible interval or posterior interval as a Bayesian strategy for a maintenance variety. Data on grain yield (kg/ha) on a maize crop variety were used. Bayesian posterior information can be annoying to investigate but are important in maintenance varieties that foundational claims are used to make general recommendations for practice. Half normal informative priors set were used. The heritability of yield (varieties)) was (h = 0.75). Predicted posterior means of varieties were shown with a Bayesian interval for scientific inference in the maintenance maize grain yield. Bayesian approach is useful for reducing uncertainty on decisions based on economic evaluation of new maize varieties in Sudan, the use of credible intervals for grain yield allow for early decisions.Int. J. Appl. Sci. Biotechnol. Vol 5(3): 390-396

Highlights

The maize crop plays an active role in the world economy and widely used for trade (Olson et al, 2012)
The choice of priors for Bayesian analysis was made from the statistics for randomized complete block design (RCBD) models
Selection of Priors The choices of priors for Bayesian analysis were made from the statistics given in Table 1 for maize data

Summary

Introduction

The maize crop plays an active role in the world economy and widely used for trade (Olson et al, 2012). Maize remains an important source of food with great potential to improve the livelihoods of most poor farmers in developing countries (Smale et al, 2001). To maintain maize varieties will assess the farmers to be in level of adoption for determining the costs and technologies to be chosen and selected for variety development programs (Feder et al, 1981). Prior information or identification of farmers’ constraints and preferences is required in order to plan more appropriate, acceptable and cost effective development intervention programs for effective agricultural research and technology development, and their adoption (Thijssen et al, 2008). Many crop yields can be affected by climatic factors such as precipitation, temperature and recent warming (Lobell and Burke, 2010). The impact of climate change may damage crop yields on a global scale

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