Compositional Nutrient Diagnosis Methodology and Its Effectiveness to Identify Nutrient Levels in Yerba Mate (Ilex paraguariensis)

Author:

Lisboa Bruno Britto1ORCID,Abichequer André Dabdab1,de São José Jackson Freitas Brilhante1ORCID,Moura-Bueno Jean Michel2ORCID,Brunetto Gustavo2ORCID,Vargas Luciano Kayser1ORCID

Affiliation:

1. Department of Agricultural Research and Diagnosis, Secretariat of Agriculture of Rio Grande do Sul, Porto Alegre 90130-060, Brazil

2. Department of Soil, Federal University of Santa Maria, Santa Maria 97105-900, Brazil

Abstract

Yerba mate is a forest species of both cultural and economic importance growing in the subtropical regions of South America, especially in the south of Brazil. Despite its importance, yerba mate has never received enough attention from researchers, so the nutritional sufficiency ranges and critical levels have not yet been determined. This research aimed to establish these parameters for yerba mate to enable its foliar diagnosis. A total of 167 leaf samples were collected from production fields located in the five yerba mate-growing regions in Rio Grande do Sul, and the leaf nutrients were determined by standard chemical methods. The yield of each production field was accessed, and the cutoff value separating low- and high-yield groups was calculated in 16.75 Mg ha−1. The multivariate compositional nutrient diagnosis (CND) standards were determined, and nutrient interactions were estimated by correlation and principal component analyses. There was no positive correlation between any single nutrient and yield, even in the high-yield population, evidencing that a higher yield is the outcome of the balance among all nutrients. Excess of B occurred in one-third of the low-yield samples, while deficiency of Cu and K occurred in one-fourth of these samples. Finally, we established the adequate leaf nutrient levels for yerba mate.

Funder

Fundo de Desenvolvimento e Inovação da Cadeia Produtiva de Erva-Mate

Publisher

MDPI AG

Reference45 articles.

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5. (2024, April 18). SEAPDR—Secretaria da Agricultura, Pecuária e Desenvolvimento Rural, Available online: https://www.agricultura.rs.gov.br/upload/arquivos/202211/30095955-informativo-roda-de-mate-80-2022.pdf.

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