Nutritional standards and nutritional diagnosis of the Conilon coffee plants in phenological growth stages

Partelli, Fábio Luiz; Oliveira, Marcos Góes; Covre, André Monzoli; Vieira, Henrique Duarte; Dias, Jairo Rafael Machado; Braun, Heder

doi:10.1080/01904167.2018.1510513

Cited by 16 publications

(13 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The lowest leaf concentration was that of N and the highest of Mn, which suggests the lowest environmental influence on N and the highest on Mn (table 3). Lower CVe values for leaf concentration of N and higher values for Mn were also found by Partelli et al (2007Partelli et al ( , 2016Partelli et al ( , 2018 and Gomes et al (2016), who evaluated the leaf concentration of these nutrients during pre-flowering and grain filling.…”

Section: Resultssupporting

confidence: 63%

“…Brazil is the world's largest coffee producer, and in the last 10 years, C. canephora yields have increased over 90% (6). Among the technologies applied to raise yields, e.g., irrigation, superior genotypes, higher planting density and phytosanitary control (23), an appropriate nutritional management is also relevant (35).…”

Section: Introductionmentioning

confidence: 99%

“…A correct interpretation of the leaf analysis is a fundamental tool for an adequate supply of nutrients in coffee plantations. To this end, reference values such as critical levels and sufficiency ranges are used (30,34,35). However, these reference values to determine the nutritional status do not take the genetic diversity for leaf nutrient concentrations in Conilon coffee genotypes into account, which is an inherent feature of self-incompatible allogamous species (19).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Genetic diversity in Coffea canephora genotypes for leaf nutrient concentration

et al. 2021

Self Cite

View full text Add to dashboard Cite

This study analyzed the genetic diversity in Coffea canephora genotypes by univariate and multivariate statistical analysis, based on concentrations of macro- and micronutrients in coffee leaves in the stages of pre-flowering and grain filling. The experiment was arranged in randomized blocks with three replications, in a 42x2 factorial design, in which factor one represented the evaluated genotypes and factor two the periods of leaf sampling, i.e., pre-flowering and grain filling. The data of leaf nutrient concentrations were subjected to analysis of variance by the F test (p <0.01), and genetic parameters were estimated. For the study of genetic diversity, the genotypes were grouped by the hierarchical unweighted pair-group method using arithmetic averages (UPGMA). The relative importance of a trait to predict genetic diversity was also studied. There is genetic divergence for leaf nutrient concentration in C. canephora genotypes. With a maximum limit of 60% of dissimilarity between genotypes, four groups were also formed by UPGMA. For the 42 evaluated genotypes, leaf S concentration was the most important trait for genetic diversity; this genotypic variability should be investigated to enhance the efficiency of nutritional diagnosis. Highlights There is genetic variability for leaf nutrient concentration in Coffea canephora The leaf concentration of nutrients in the phenological stage of pre-anthesis is different from the leaf concentration of nutrients in the coffee bean filling period. Leaf concentration of sulfur was the characteristic that contributed most to the genetic diversity among the 42 genotypes, followed by the concentration of copper, boron and magnesium. Genotypic variability for leaf nutrient concentration should be considered for better nutritional management.

show abstract

Section: Resultssupporting

confidence: 63%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Genetic diversity in Coffea canephora genotypes for leaf nutrient concentration

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…In perennial and short-cycle fruit trees in Brazil, research in the nursery, development, flowering, and fruit filling phases has been documented for crops such as coconut, oil palm, Conilon coffee, and carrot (Bastos et al, 2017;Medeiros et al, 2015;Partelli et al, 2018;Reis et al, 2017), along with studies in India on pomegranate (Gosavi et al, 2017), on apple in China (Shunfeng et al, 2018), on pineapple in Colombia (López-Montoya et al, 2018), and on apple, peach, persimmon, fig, vine, and mandarin in Japan (Freire et al, 2019). Research has also been found for roots and tubers, including yam in Africa (Dagbenonbakin et al, 2012) and in flowers, mainly roses, in greenhouses in Colombia (Franco-Hermida et al, 2013).…”

Section: B Dynamics Of Mineral Elements According To the Phenological Stagementioning

confidence: 99%

Sistema Integrado de Diagnóstico y Recomendación, su aplicación y utilidad en la agricultura. Una Revisión

Carvajal

Álvarez

Gutiérrez³

2021

Cien. Agri.

View full text Add to dashboard Cite

El equilibrio de nutrientes determina el rendimiento y calidad de los cultivos. El Sistema Integrado de Diagnóstico y Recomendación-DRIS propone un análisis holístico sobre la base de la interrelación entre nutrientes, compara las proporciones de los elementos minerales de los cultivos con valores óptimos conocidos como normas DRIS e identifica desequilibrios, deficiencias y/o excesos en los nutrientes de la planta para clasificarlos por orden de importancia. Existen trabajos de revisión científica orientados al desarrollo de propuestas metodológicas para obtención de las normas DRIS en diversos cultivos y el cálculo de sus respectivos índices, pero, estos no dilucidan las funcionalidades reales de este sistema de diagnóstico; por lo tanto, la siguiente revisión tiene como objetivo, dar a conocer las aplicaciones y utilidades del DRIS en la agricultura a nivel mundial desarrolladas durante los últimos 10 años. Considerando lo anteriormente expuesto los estudios científicos sugieren: balance de nutrientes en tejido foliar y suelo, dinámica de elementos minerales según etapa fenológica, niveles críticos y rangos de suficiencia, relación suelo-planta, balance nutricional por uso de fertilizantes y abonos verdes, variabilidad espacial y DRIS, translocación de metales pesados, nutrición e incidencia de problemas fitosanitarios, fitotoxicidad en plantas irrigadas con aguas residuales de riego agrícola, Rangos de Suficiencia en tejido foliar bajo condiciones salinas, análisis de savia y normas DRIS en semillas. El DRIS es una herramienta para el diagnóstico nutricional, susceptible de validación en los sistemas agrícolas a nivel mundial.

show abstract

“…In most cases, leaf patterns are established for specific regions (Partelli et al, 2014) and may also vary according to the phenological crop stage as well as the time of year (Partelli, Viera, Carvalho, & Mourão Filho, 2007;Partelli et al, 2018;Dias et al, 2013). Given these variations, more specific data could contribute to a more rational use of inputs, improve the plant nutritional balance and, consequently, raise pasture productivity.…”

Section: Introductionmentioning

confidence: 99%

Establishment of leaf nutrient patterns for the nutritional diagnosis of Urochloa brizantha pastures in two seasons

et al. 2021

Self Cite

View full text Add to dashboard Cite

To diagnose and monitor the nutritional status of commercial crops, reference standards must be established based on chemical analyses of soils and leaf tissues. Therefore, the objective of this study was to establish sufficiency ranges, DRIS standards and leaf nutritional diagnoses for palisade grass pastures in the rainy and dry seasons. Of a total of 105 sampled pastures, the 20 highest-yielding areas were used to establish reference standards. In the other, low-productivity pastures, the nutritional status was diagnosed in both the rainy and dry seasons for nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), magnesium (Mg), sulfur (S), boron (B), copper (Cu), iron (Fe), nickel (Ni), molybdenum (Mo), and zinc (Zn). A productivity of 15 tons ha-1 year-1 was determined as the threshold to separate high-yielding (> 15 tons ha-1 year-1) pastures from low-productivity pastures (< 15 tons ha-1 year-1). Sufficiency ranges and foliar DRIS standards were established for palisade grass pastures in the rainy and dry seasons, which resulted in the recommendation of region- and season-specific sufficiency ranges and DRIS leaf standards. In the rainy season, in more than 50% of the evaluated pastures, nutritional deficiencies in all nutrients except K, B and Zn were observed, while in the dry season, only N, P, Cu, and Mn were deficient.

show abstract

Nutritional standards and nutritional diagnosis of the Conilon coffee plants in phenological growth stages

Cited by 16 publications

References 42 publications

Genetic diversity in Coffea canephora genotypes for leaf nutrient concentration

Genetic diversity in Coffea canephora genotypes for leaf nutrient concentration

Sistema Integrado de Diagnóstico y Recomendación, su aplicación y utilidad en la agricultura. Una Revisión

Establishment of leaf nutrient patterns for the nutritional diagnosis of Urochloa brizantha pastures in two seasons

Contact Info

Product

Resources

About