RESUMO - EVALUATION OF THE NUTRITIONAL CONDITION OF ITALIA GRAPEVINE IN THE REGION OF SÃO MIGUEL ARCANJO-SP, USING THE DIAGNOSIS AND RECOMMENDATION INTEGRATED SYSTEMABSTRACT -This work aimed to evaluate nutritional condition of Italia grapevine in the region centered in São Miguel Arcanjo, SP, Brazil. It was used the Diagnosis and Recommendation Integrated System (DRIS). Twenty bearing vineyards in that region using similar cultural practices were nutritionally surveyed. Leaf blade and petiole samples were taken at three developing phases of grapevine plants: at bloom, in fruits between pea and have-berry and at the beginning of fruit maturation. Leaf blade and petiole samples were analyzed for macronutrients. The reference population used in the calculation of DRIS norms was that of vineyards with average yield between 20.7 to 36.3t/ha. NBI (Nutritional Balance Index) and the sequence of nutrient limitation were individually calculated for each vineyard at three sample phases and for leaf blade and petiole. In this evaluation permitted to conclude that DRIS was a good method for evaluation of nutritional condition of grapevine cv. Italia. Eleven vineyards were considered nutritionally balanced, with average yield between 20.7 to 36.3t/ha. Correlations between NBI and yield indicated that leaf blade sampled at bloom was the better choice. The DRIS allowed the determination of vineyards that usually presented a deficiency of phosphorus, potassium and magnesium.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.