Biometrics

Biometric analysis of arabica coffee grown in low potassium nutrient solution under greenhouse conditions

W. M. Moura, Soares, Y. J. B., Júnior, A. T. Amaral, Gravina, G. A., Barili, L. D., Vieira, H. D., Moura, W. M., Soares, Y. J. B., Júnior, A. T. Amaral, Gravina, G. A., Barili, L. D., and Vieira, H. D., Biometric analysis of arabica coffee grown in low potassium nutrient solution under greenhouse conditions, vol. 15, p. -, 2016.

Genetic parameters and associations between morpho-agronomic traits and nutritional efficiencies of arabica coffee cultivars were estimated to identify promising traits to assist in the selection of coffee genotypes efficient in potassium use, under limiting conditions of this nutrient. The experiment was conducted in a greenhouse with 20 arabica coffee cultivars grown in nutrient solution with a low potassium level (1.5 mM), using a randomized block design with three replicates.

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