Statistical analysis of wheat yield under drought conditions [An article from: Journal of Arid Environments]

This digital document is a journal article from Journal of Arid Environments, published by Elsevier in 2005. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
Seven statistical procedures including; simple correlation, path analysis, multiple linear regression, stepwise regression, factor analysis, principal components and cluster analysis were used to study the relationship between wheat grain yield and its components under drought conditions of Saudi Arabia. Results revealed that number of spikes/m^2, 100-grain weight, weight of grains/spike and biological yield were the most effective variables influencing grain yield. Based on the results, it is reasonable to assume that high yield of wheat plants under drought conditions could be obtained by selecting breeding materials with high spikes/m^2, 100-grain weight, weight of grains/ spike and biological yield.