Rezende, Jefrejan Souza and Freire, Fernando José and Silva, Suellen Roberta Vasconcelos da and Musser, Rosimar dos Santos and Cavalcante, Ítalo Herbert Lucena and Saldanha, Eduardo Cézar Medeiros and Santos, Renato Lemos dos and Cunha, Jailson Cavalcante (2022) Nutritional Status of Mango by the Boundary Line and Mathematical Chance Methods. Journal of Agricultural Science, 14 (8). p. 90. ISSN 1916-9752
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Abstract
The objective of this study was to establish the optimal content and sufficiency range of the nutrients in mango of the cultivars Tommy Atkins, Kent and Keitt in the Sub-middle San Francisco Valley by the Boundary Line and Mathematical Chance methods and compare them to other nutritional diagnosis methods used in Brazil and Australia. The study was carried out in seven commercial farms cultivated with mangoes, located in the Sub-Middle São Francisco Valley. The database used was formed from the results of the analysis of leaves and the productivity of irrigated mango trees. For Boundary Line and Mathematical Chance methods were estimated the optimal nutrient content, as well as the sufficiency range and later were compared between them and with the optimal contents and sufficiency ranges recommended in literature. The optimal nutrient contents for mango tree cultivars by the Boundary Line and Mathematical Chance methods were close to the mean contents of the high productivity population, and also disagreed of the diagnoses of the methods the literature, suggesting that these methods were more consistent and expressed better the regional management of mango tree cultivation in the Sub-Middle São Francisco Valley. The Mo sufficiency range developed by the Boundary Line and Mathematical Chance methods made it possible to assess the nutritional status of this nutrient in the region. These results show the importance of creating and validating specific nutritional standards for the edapho-climatic conditions of the Valley, taking into account the production management and nutritional requirement of the cultivars.
Item Type: | Article |
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Subjects: | Afro Asian Archive > Agricultural and Food Science |
Depositing User: | Unnamed user with email support@afroasianarchive.com |
Date Deposited: | 06 May 2023 08:12 |
Last Modified: | 25 Jul 2024 08:08 |
URI: | http://info.stmdigitallibrary.com/id/eprint/662 |