Diagnosis of the Nutritional Status of Garlic Crops

• Main Authors: Mário Lúcio Pereira Cunha, Leonardo Angelo Aquino, Roberto Ferreira Novais, Junia Maria Clemente, Priscila Maria de Aquino and, Thaisa Fernanda Oliveira
• Format: Article
• Language: English
• Published: Sociedade Brasileira de Ciência do Solo 2016-01-01
• Series: Revista Brasileira de Ciência do Solo
• Subjects: nutritional balance; diagnostic indexes; Allium sativum L
• Online Access: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832016000100502&lng=en&tlng=en

ABSTRACT Univariate methods for diagnosing nutritional status such as the sufficiency range and the critical level for garlic crops are very susceptible to the effects of dilution and accumulation of nutrients. Therefore, this study aimed to establish bivariate and multivariate norms for this crop using the Diagnosis and Recommendation Integrated System (DRIS) and Nutritional Composition Diagnosis (CND), respectively. The criteria used were nutritional status and the sufficiency range, and then the diagnoses were compared. The study was performed in the region of Alto Paranaíba, MG, Brazil, during the crop seasons 2012 and 2013. Samples comprised 99 commercial fields of garlic, cultivated with the cultivar “Ito” and mostly established in Latossolo Vermelho-Amarelo Distrófico (Oxisol). Copper and K were the nutrients with the highest number of fields diagnosed as limiting by lack (LF) and limiting by excess (LE), respectively. The DRIS method presented greater tendency to diagnose LF, while the CND tended towards LE. The sufficiency range of both methods presented narrow ranges in relation to those suggested by the literature. Moreover, all ranges produced by the CND method provided narrower ranges than the DRIS method. The CND method showed better performance than DRIS in distinguishing crop yield covered by different diagnoses. Turning to the criterion of evaluation, the study found that nutritional status gave a better performance than sufficiency range in terms of distinguishing diagnoses regarding yield.