Selection of cotton varieties in the state of Texas using lint and seed components

Date

1996-05

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Publisher

Texas Tech University

Abstract

Procedures were developed to assist cotton producers, geneticists and breeders, seed companies, extension personnel, and other entities related to the cotton industry, in decisions concerning the selection of cotton varieties. The decision criteria for variety selection combines varietal economic performance and variability and a decision maker's risk aversion level. Economic performance of a variety is calculated from objective data generated by agricultural experiment stations (National Cotton Variety Test) or by the user, and it includes lint and seed yields and their quality characteristics affecting prices. Adjustments are made for seed, harvesting, and ginning costs. Variability of total revenue represents production risk. The concepts and procedures developed were integrated into a stand-alone, user-friendly computer software program which identifies the best and most stable varieties (in terms of total revenue) among existing and potential cotton varieties and genotypes. Using National Cotton Variety Test data the program was applied to four Texas locations. In Lubbock irrigated trials. Paymaster HS26 was the variety selected by high and low risk aversion decision makers. In Pecos irrigated trials, Coker 320 and Deltapine 50 were the varieties selected by high and low risk aversion decision makers, respectively. In College Station, Dehapine 50 and DES 119 were the varieties selected by high and low risk aversion decision makers, respectively. Finally, in Thrall, Acala 1517-88 and Deltapine 50 were the varieties selected by high and low risk aversion decision makers, respectively. It was concluded that the results obtained in this research cannot be used per se as a remedial solution to the variety selection problem in Texas because the data and the varieties were not current. However, it was concluded that the model can provide valuable assistance in the process of selecting cotton varieties when the data set is complete. It was also concluded that decision makers in agronomy and agricultural economics can be benefited from using this program because of its potential for alternative applications.

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