Critical levels and nutritional evaluation of irrigated “Prata-Anã” banana

Júnior, I.S. Carvalho; Moreira, Elwira Daphinn Silva; Pegoraro, Rodinei Facco; Frazão, Leidivan Almeida; Sampaio, Regynaldo Arruda; Fernandes, Lucas

doi:10.5039/agraria.v14i4a6291

Cited by 4 publications

(4 citation statements)

References 17 publications

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“…In general, OL BL was higher than OL MCh for most nutrients, except for K, B and Na. On the other hand, the critical levels obtained by the reduced normal distribution (CLz) were close to the lower limits of the optimal ranges established by the BL, SR and MCh methods, and higher than the CLz established by Carvalho Júnior et al (2019) for N, P, Mg, S, B and Fe.…”

Section: Santos Et Al (2022)supporting

confidence: 60%

“…According to Deus et al ( 2020) , banana has an ideal pattern of partitioning of nutrients as a function of the different yields. In other words, lower yield will result in lower values of critical levels (CARVALHO JÚNIOR et al, 2019). However, N and P are less sensitive to these differences (DEUS et al, 2020).…”

Section: Resultsmentioning

confidence: 99%

“…On the other hand, the SR method, proposed by Martinez et al (2003), considers a range of adequate values. These two methods, because they are more traditional, are widely used in forage cactus (ALVES et al, 2019), and CLz is used for 'Prata-Anã' banana (CARVALHO JÚNIOR et al, 2019).…”

Section: Santos Et Al (2022)mentioning

confidence: 99%

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Nutrient reference values for ‘Prata-Anã’ banana in improved chemical fertility soils

et al. 2022

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The objective of this work was to establish, through different diagnostic methods, nutrient reference values for ‘Prata-Anã’ banana in improved fertility soil. The study included a database from an experiment conducted in randomized block design, arranged in a 5 × 6 factorial scheme (five doses of K2O - 0; 200; 400; 600 and 800 kg ha-1, supplied by cattle manure and rock powder × six evaluations of leaf nutrition and yield – 210; 390; 570; 750; 930 and 1,110 days after planting), with three replicates, totaling 90 samples. The reference values were determined by the Sufficiency Range, Critical Level by the Reduced Normal Distribution, Boundary Line and Mathematical Chance methods. Plots with high yield, = 36.42 t ha-1 cycle-1, formed the reference population and plots with yield = 45.79 t ha-1 formed the reference subpopulation. The methods were efficient in determining the nutrient reference values of ‘Prata-Anã’ banana. In general, the values established are higher than those reported in the literature, justified by the greater chemical fertility of the soil. Among the diagnostic methods, the Mathematical Chance presented itself as the most accurate for interpreting the nutrient contents in the leaves of ‘Prata-Anã’ banana under improved soil fertility conditions.

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Section: Santos Et Al (2022)supporting

confidence: 60%

Section: Resultsmentioning

confidence: 99%

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Nutrient reference values for ‘Prata-Anã’ banana in improved chemical fertility soils

et al. 2022

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“…For 'Prata-Anã' banana, in different regions, norms were adjusted by methods involving univariate relationships between nutrients, such as Sufficiency Range, SR (Pereira et al, 2015;Silva, 2015), Critical Level, CLz (Carvalho Júnior et al, 2019) and Boundary Line, BL (Rodrigues Filho et al, 2021b); bivariate relationships, such as Diagnosis and Recommendation Integrated System, DRIS (Pereira et al, 2015;Rodrigues Filho et al, 2021a;Carvalho, 2006) and Balance Indices of Kenworthy, BIKW (Rodrigues Filho et al, 2021b); multivariate relationships, such as Compositional Nutrient Diagnosis, CND (Lima Neto et al, 2021); and machine learning, CoDa (Lima Neto et al, 2020). In addition, the Mathematical Chance, MCh (Wadt et al, 1998) was also applied, which according to the authors allows the use of data from leaf analysis and yield of commercial plantations or calibration tests as long as they are robust.…”

Section: Introductionmentioning

confidence: 99%

Nutrient reference values for ‘BRS Platina’ banana in improved fertility soils

et al. 2022

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Reference values of leaf nutrient contents are essential for nutritional assessment of plants. The objective was to establish nutritional reference values for ‘BRS Platina’ banana in improved fertility soil, using the sufficiency range (SR), border Line (BL) and mathematical chance (MCh) methods, in addition to the critical level obtained by the reduced normal distribution (CLz). The study was carried out in Guanambi-BA, considering nutrient contents and yields of an experiment arranged in randomized blocks, 5 x 6 factorial scheme, with five doses of K2O (0, 200, 400, 600 and 800 kg ha-1) supplied with fertilizers for organic management and six sampling times (210; 390; 570; 750; 930 and 1,110 days after planting), totaling 90 plots. Plots with high yield, ≥ 38.40 t ha-1, formed the reference population and plots with yield ≥ 47.43 t ha-1 formed the reference subpopulation. There was convergence between the optimal values obtained by the methods evaluated. Therefore, the reference values adjusted by the SR, BL, MCh and CLz methods can be used with assertiveness to interpret the foliar analysis of the ‘BRS Platina’ banana in improved fertility soils. Furthermore, among these, MCh stands out as it provides narrower optimal ranges.

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Nutrient parameters limiting banana plant development in Vale do Ribeira, São Paulo State, Brazil

Oliveira,

Rozane,

Lima Neto

et al. 2024

Cienc. Rural

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Vale do Ribeira is one of the largest banana producing regions in Brazil. However, information on soil fertility and nutrient status that could limit fruit production remains scarce. Thus, the present study diagnosed the most limiting nutrient parameters for the Nanica and Prata banana cultivars, in Vale do Ribeira, São Paulo State, based on soil and leaf chemical analyses. The data assessed included samples from commercial plantations in the municipalities of Eldorado, Cajati, Jacupiranga, Pariquera-açú, Registro and Sete Barras, between 2012 and 2020. The results of soil (pH, V, P, K, Ca, Mg, S, B, Cu, Fe, Mn and Zn) and leaf chemical analyses (N, P, K, Ca, Mg, S, B, Cu, Fe, Mn and Zn) were interpreted according to literature values and their maximums, minimums, means, coefficients of variation (CV), and confidence intervals (CI) were calculated at P < 0.05. Parameter classes were assessed according to their frequency distribution. A large part of the samples exhibited pH and V values similar to those recommended for banana plants. Although, average soil nutrient concentrations were considered high, soil K, Mg and S levels did not provide adequate banana plant nutrition, since these nutrients were deficient in the plants.

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Critical levels and nutritional evaluation of irrigated “Prata-Anã” banana

Cited by 4 publications

References 17 publications

Nutrient reference values for ‘Prata-Anã’ banana in improved chemical fertility soils

Nutrient reference values for ‘Prata-Anã’ banana in improved chemical fertility soils

Nutrient reference values for ‘BRS Platina’ banana in improved fertility soils

Nutrient parameters limiting banana plant development in Vale do Ribeira, São Paulo State, Brazil

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