**5. Conclusions**

We collected historical crop yield data for Texas by county for grain sorghum from 1973 to 2000 and the corresponding daily precipitation data from weather stations within the counties. After estimating the crop growing season for sorghum in different parts of Texas, we estimated the growing season total precipitation and maximum 4-day total precipitation for each county growing rainfed grain sorghum. Using the two parameters mentioned above as independent variables, and crop yield of sorghum as the dependent variable, we tried to find out relationships between excess precipitation and decreases in crop yields using both graphical and mathematical relationships. We carried out a multiple linear regression (MLR) analysis with and without the use of a principal component analysis (PCA). Based on the results obtained, we can conclude that:


**Author Contributions:** O.P.S. carried out most parts of the study. N.K. conceptualized the overall study, S.C. designed and carried out the principal component analysis; regression analysis was carried out by O.P.S. under the supervision of S.C. and N.K. B.K.P. analyzed the results of the study. Most of the GIS analysis was carried out by C.M. All the authors contributed to the development of this manuscript.

**Funding:** Funding for this study is provided by Tarleton State University under the Faculty-Student Research and Creative Activity Internal Grants.

**Acknowledgments:** The authors acknowledge Tarleton State University for supporting this research.

**Conflicts of Interest:** As the guest editor of the special issue "Water Management for Sustainable Food Production", Narayanan Kannan has a conflict of interest. Therefore, the assistant editors, and the editor-in-chief (ofWater-MDPI), were involved in inviting reviewers, analyzing the peer review report and making the decision on acceptance of the article for publication.
