Dynamic Accumulation of Nutritional Elements in Garlic (Allium sativum L.) Cultivars Grown in Brazil

Almeida, Risely Ferraz de; Oliveira, Roberta Camargos de; Araújo, Raphaela Cristine Gomes; Rosa, Hugo Franco de Novaes; Luz, José Magno Queiroz

doi:10.1007/s42729-022-00808-w

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…Nutrient requirements within a cropping system may depend on the cultivar, climate, soil type and soil biology [ 10 , 11 ] and continuous monitoring of crop nutrition is often required to optimise fertiliser inputs and reduce nutrient losses [ 12 , 13 , 14 , 15 ]. Conventional methods for determining the crop nutrition status are generally laborious and time-consuming, creating delays between field sampling, the receipt of nutrient results, and fertiliser amendments [ 16 , 17 , 18 ]. Rapid assessment tools are needed to monitor crop nutrition in real-time, allowing growers to quickly adjust their fertiliser regimes to maximise crop productivity and reduce nutrient runoff [ 19 , 20 ].…”

Section: Introductionmentioning

confidence: 99%

“…Generally, foliar nutrient levels are used as an indicator of crop nutrition status in macadamia [ 41 , 42 , 43 ]. Traditional nutrient analysis methods are time-consuming and, therefore, growers are unable to make rapid decisions to amend fertiliser applications [ 16 , 17 , 18 ]. Rapid assessment of macadamia crop nutrition could help growers to increase yield and nut quality by quickly adjusting fertilizer regimes.…”

Section: Introductionmentioning

confidence: 99%

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Hyperspectral Imaging of Adaxial and Abaxial Leaf Surfaces as a Predictor of Macadamia Crop Nutrition

Silva

Trueman

Kämper

et al. 2023

Plants

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Tree crop yield is highly dependent on fertiliser inputs, which are often guided by the assessment of foliar nutrient levels. Traditional methods for nutrient analysis are time-consuming but hyperspectral imaging has potential for rapid nutrient assessment. Hyperspectral imaging has generally been performed using the adaxial surface of leaves although the predictive performance of spectral data has rarely been compared between adaxial and abaxial surfaces of tree leaves. We aimed to evaluate the capacity of laboratory-based hyperspectral imaging (400–1000 nm wavelengths) to predict the nutrient concentrations in macadamia leaves. We also aimed to compare the prediction accuracy from adaxial and abaxial leaf surfaces. We sampled leaves from 30 macadamia trees at 0, 6, 10 and 26 weeks after flowering and captured hyperspectral images of their adaxial and abaxial surfaces. Partial least squares regression (PLSR) models were developed to predict foliar nutrient concentrations. Coefficients of determination (R2P) and ratios of prediction to deviation (RPDs) were used to evaluate prediction accuracy. The models reliably predicted foliar nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), copper (Cu), manganese (Mn), sulphur (S) and zinc (Zn) concentrations. The best-fit models generally predicted nutrient concentrations from spectral data of the adaxial surface (e.g., N: R2P = 0.55, RPD = 1.52; P: R2P = 0.77, RPD = 2.11; K: R2P = 0.77, RPD = 2.12; Ca: R2P = 0.75, RPD = 2.04). Hyperspectral imaging showed great potential for predicting nutrient status. Rapid nutrient assessment through hyperspectral imaging could aid growers to increase orchard productivity by managing fertiliser inputs in a more-timely fashion.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hyperspectral Imaging of Adaxial and Abaxial Leaf Surfaces as a Predictor of Macadamia Crop Nutrition

Silva

Trueman

Kämper

et al. 2023

Plants

View full text Add to dashboard Cite

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Microbial Solution of Growth-Promoting Bacteria Sprayed on Monoammonium Phosphate for Soybean and Corn Production

et al. 2023

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Common fertilizers present a low use efficiency caused by nutrient losses (e.g., through leaching, volatilization, adsorption, and precipitation in solution as well as through microbial reduction and immobilization) that create a significant limiting factor in crop production. Inoculation with Plant Growth-Promoting Bacteria (PGPB) is presented as an alternative to increasing fertilizer efficiency. The goal of the study was to test the hypothesis that PGPB (solution with Bacillus subtilis, Bacillus amyloliquefaciens, Bacillus licheniformis, and Bacillus pumilus) can be a strategy to increase the monoammonium phosphate (MAP) efficiency, root growth, and nutrient assimilation of soybean and corn cultivated in arenosol and oxisol. A greenhouse study was developed with the rates of PGPB (rates: 0, 1, 1.33, and 1.66–2.0 L per ton of fertilizer) sprayed on MAP and applied in an arenosol and oxisol cultivated with soybean and corn. Results showed that in both soils and crops, there was a variation in soil biological activity during the experiment. On day 45, PGPB + MAP promoted the beta-glucosidase and ammonium-oxidizing microorganism activities in the arenosol. The PGPB + MAP increased crop root growth in both soils and crops. Plant dry matter was associated with the phosphorous content in the soil, indicating that the phosphorous applied was absorbed by the plants, consequently resulting in a higher accumulation in the plant. Based on the results, the conclusion is that PGPB + MAP increases the growth and phosphorous accumulation of soybean and corn cultivated in the arenosol and oxisol, with a direct effect on crop rooting.

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Dynamic Accumulation of Nutritional Elements in Garlic (Allium sativum L.) Cultivars Grown in Brazil

Cited by 2 publications

References 9 publications

Hyperspectral Imaging of Adaxial and Abaxial Leaf Surfaces as a Predictor of Macadamia Crop Nutrition

Hyperspectral Imaging of Adaxial and Abaxial Leaf Surfaces as a Predictor of Macadamia Crop Nutrition

Microbial Solution of Growth-Promoting Bacteria Sprayed on Monoammonium Phosphate for Soybean and Corn Production

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