Spatial estimation of foliar phosphorus in different species of the genus Coffea based on soil properties

Abstract

SUMMARYInformation underlying analyses of coffee fertilization systems should consider both the soil and the nutritional status of plants. This study investigated the spatial relationship between phosphorus (P) levels in coffee plant tissues and soil chemical and physical properties. The study was performed using two arabica and one canephora coffee variety. Sampling grids were established in the areas, and the points georeferenced. The assessed properties of the soil were levels of available phosphorus (P-Mehlich), remaining phosphorus (P-rem) and particle size, and of the plant tissue, phosphorus levels (foliar P). The data were subjected to descriptive statistical analysis, correlation analysis, cluster analysis, and probability tests. Geostatistical and trend analyses were only performed for pairs of variables with significant linear correlation. The spatial variability for foliar P content was high for the variety Catuai and medium for the other evaluated plants. Unlike P-Mehlich, the variability in P-rem of the soil indicated the nutritional status of this nutrient in the plant.Index terms: coffee, remaining P, cokriging, geostatistics. RESUMO: ESTIMATIVA ESPACIAL DO FÓSFORO FOLIAR EM DIFERENTES ESPÉCIES DO GÊNERO COFFEA, COM BASE NAS PROPRIEDADES DO SOLOA análise dos sistemas de fertilização do cafeeiro deve envolver informações conjuntas de solo e do estado nutricional das plantas. Este trabalho objetivou estudar a relação espacial entre os teores de P do tecido vegetal de cafeeiros e os atributos químicos e físicos do solo. Este estudo foi realizado com duas variedades de café arábica e uma variedade de café conilon. Foram construídas grades amostrais nas áreas, sendo os pontos georreferenciados. Avaliaramse, do solo, os teores de P disponível (P-Mehlich) e de P remanescente (P-rem) e a granulometria, enquanto do tecido vegetal, os teores de P (P foliar). Os dados foram submetidos a: análise estatística descritiva, de correlação, análise de agrupamentos e testes de probabilidade. As análises de tendência e as geoestatísticas foram realizadas apenas para os pares de variáveis que apresentaram correlação linear significativa. A variabilidade espacial dos teores foliares de P é alta para a variedade Catuaí, sendo média para os demais cultivares avaliados. A variabilidade do P-rem do solo refletiu o estado nutricional quanto a esse nutriente na planta, o que não ocorreu com o P-Mehlich.Termos de indexação: café, P remanescente, cokrigagem, geoestatística.

Korelasi Antara Ketinggian Tempat, Sifat Kimia Tanah, dan Mutu Fisik Biji Kopi Arabika di Dataran Tinggi Garut

“…Unsur P sangat diperlukan pada awal perkembangan tanaman dan menentukan produktivitas tanaman kopi (Silva & Lima, 2014;Dias, Neto, Guimarães, Reis, & de Oliveira, 2015). Keberadaannya dalam jaringan tanaman mempengaruhi penyerapan unsur penting lain yang menentukan dalam proses pertumbuhan dan perkembangan tanaman kopi selanjutnya (Silva, Lima, & Bottega, 2013).…”

Spatio-temporal variability of leaf macronutrients in a conilon coffee crop

“…Similar classification was observed by Fonseca et al (2015) but only for Ca in a Conilon coffee plantation, variety robusta and by Silva et al (2011) for Ca and N during fruit growth period in Arabica coffee plantation. However, Silva and Lima (2014) observed low values of CV for foliar P sampled during the fruit growth period.…”

Using multivariate analysis to design management zones

“…The lack of natural fertility is a particular feature of Brazilian Latosols, characterized by depth of the diagnostic horizon, high weathering, and low natural fertility (Santos et al, 2017). Despite the natural characteristics of the soil, agronomic management practices can improve its fertility conditions, making the soils more fertile and allowing the exploitation of the productive potential of crops (Silva & Lima, 2014).…”