Nitrogen management in wheat based on the normalized difference vegetation index (NDVI)

Vian, André Luis; Bredemeier, Christian; Turra, Marcos Alexandre; Giordano, Cecília Paz da Silva; Fochesatto, Elizandro; Silva, Jhonatan Alves da; Drum, Maicon Andreo

doi:10.1590/0103-8478cr20170743

Cited by 18 publications

(13 citation statements)

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“…Vian et al. (2018) observed a high coefficient of determination between NDVI and wheat biomass; they reported a linear increase in the NDVI values reflecting an increase in biomass production. The fact that, in our study, NDVI values did not statistically differ among N rates may indicate that NDVI is more sensitive to the amount of produced biomass than to N content of that biomass.…”

Section: Resultsmentioning

confidence: 99%

Nitrogen and potassium fertilization in no‐till hard red spring wheat production

Walsh

2020

Agrosystems Geosci & Env

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There is a need to develop more efficient nutrient management strategies to maximize wheat (Triticum aestivum L.) grain yields and increase grain protein levels. Urea, most widely used N fertilizer, is susceptible to substantial losses, resulting in low nitrogen use efficiency (NUE). This study assessed the effect of N and K fertilization on hard red spring wheat production under dryland no-till conditions in Montana. A field experiment was conducted during one growing season at two locations in Northcentral Montana. Fertilizer N was applied as urea (46-0-0) or as a urea-KCl (50:50 blend) at planting to achieve two target N rates, 135 and 270 kg N ha −1. Biomass weight, N content, and sensor-based Normalized Vegetative Difference Index (NDVI), yield, test weight, and grain protein content of wheat was evaluated. Results indicated that: (a) N may increase wheat grain quality (protein content) even when wheat yield is not increased, (b) KCl application, along with N, may result in greater wheat biomass production and grain protein values, and (c) NDVI may be more sensitive to the amount of produced biomass than to N content of that biomass. In conclusion, even if yield response to N is minimal, N is beneficial for improving grain protein content of wheat. Addition of KCl along with N may produce greater wheat biomass and increase biomass N content. The NDVI may be more sensitive to the amount of produced biomass than to its N content.

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Section: Resultsmentioning

confidence: 99%

Nitrogen and potassium fertilization in no‐till hard red spring wheat production

Walsh

2020

Agrosystems Geosci & Env

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“…Biomass and grain production have been closely related to each other. Bands of low N and low chlorophyll have higher reflection in the visible electromagnetic spectrum region (400-700 nm), and a lower reflectance in the near-infrared region, resulting a decreased NDVI values [18,38].…”

Section: Effects Of N Fertilization On Spad and Ndvi Valuesmentioning

confidence: 99%

“…In semi-arid regions, wheat is adversely influenced by the N deficiency causing nutritional stress, reduced leaf chlorophyll content and grain yield [16]. In order to achieve higher yield of wheat, optimal quantity of N must be supplied to ensure vigorous yield attributes including number of tillers and grains per spike along with number and grain weight per spike [17,18].…”

Section: Introductionmentioning

confidence: 99%

Normalized Difference Vegetation Index and Chlorophyll Content for Precision Nitrogen Management in Durum Wheat Cultivars under Semi-Arid Conditions

et al. 2021

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To impart sustainability to modern intensive farming systems, environmental pollution caused by nitrogenous fertilizers needs to be reduced by optimizing their doses. To estimate the grain yield and nutrtional quallity of wheat, the normalized difference vegetation index (NDVI) and chlorophyll content (SPAD) are potential screening tools to identify the N deficiency and screen out the promising cultivars. The two-year field study was comprised of five levels of nitrogen (N) (control, 50, 100, 150 and 200 kg N ha−1) and two durum wheat genotypes (Sena and Svevo). The experimental design was split-plot, in which N levels were placed in the main plots, while wheat genotypes were arranged in sub-plots. To predict the yield and quality traits, NDVI and SPAD values recorded at heading, anthesis and milky growth stages were taken as response variables. The results revealed that N fertilization significantly influenced SPAD and NDVI attributed traits of durum wheat, except NDVI at milky stage (NDVI-M) during the first year. The maximum value of NDVI was recorded by 150 kg N ha−1, while control treatment gave the minimum value. The grain yield was increased with the increasing dose of N up to 100 kg N ha−1 (4121 kg ha−1), and thereafter, it was declined with further increased N levels. However, the variation between genotypes was not significant, except NDVI and SPAD values at the milky stage. The genotype Svevo had the highest NDVI values at all growth stages, while the genotype Sena recorded the maximum SPAD values during both years. Similarly, N levels significantly influenced the quality traits (protein, wet gluten, starch test weight and Zeleny sedimentation) of both genotypes. The highly significant relationship of SPAD and NDVI with the grain yield and yield attributes showed their reliability as indicators for determining N deficiency and selection of superior wheat genotypes for ensuring food security under climate change scenario.

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“…An inverse linear relationship between NDVI and VRT N-rates was adopted in Var-N-low and Var-N-high on the assumption that NDVI and other correlated VIs (e.g. NIR/Red simple ratio), before the second N fertilization (7-8 Feekes' stage), are directly related to crop N nutritional status [10,13,30]. Thus, the Var-N-high was defined with the aim of keeping the average N-rate equal to the flat N-rate while optimizing the N fertilization according to the supposed N nutritional status.…”

Section: Crop Management and Experimental Treatmentsmentioning

confidence: 99%

Sentinel 2-Based Nitrogen VRT Fertilization in Wheat: Comparison between Traditional and Simple Precision Practices

2019

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This study aimed to compare standard and precision nitrogen (N) fertilization with variable rate technology (VRT) in winter wheat (Triticum aestivum L.) by combining data of NDVI (Normalized Difference Vegetation Index) from the Sentinel 2 satellite, grain yield mapping, and protein content. Precision N rates were calculated using simple linear models that can be easily used by non-specialists of precision agriculture, starting from widely available Sentinel 2 NDVI data. To remove the effects of not measured or unknown factors, the study area of about 14 hectares, located in Central Italy, was divided into 168 experimental units laid down in a randomized design. The first fertilization rate was the same for all experimental units (30 kg N ha−1). The second one was varied according to three different treatments: 1) a standard rate of 120 kg N ha−1 calculated by a common N balance; 2) a variable rate (60–120 kg N ha−1) calculated from NDVI using a linear model where the maximum rate was equal to the standard rate (Var-N-low); 3) a variable rate (90–150 kg N ha−1) calculated from NDVI using a linear model where the mean rate was equal to the standard rate (Var-N-high). Results indicate that differences between treatments in crop vegetation index, grain yield, and protein content were negligible and generally not significant. This evidence suggests that a low-N management approach, based on simple linear NDVI models and VRT, may considerably reduce the economic and environmental impact of N fertilization in winter wheat.

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Nitrogen management in wheat based on the normalized difference vegetation index (NDVI)

Cited by 18 publications

References 18 publications

Nitrogen and potassium fertilization in no‐till hard red spring wheat production

Nitrogen and potassium fertilization in no‐till hard red spring wheat production

Normalized Difference Vegetation Index and Chlorophyll Content for Precision Nitrogen Management in Durum Wheat Cultivars under Semi-Arid Conditions

Sentinel 2-Based Nitrogen VRT Fertilization in Wheat: Comparison between Traditional and Simple Precision Practices

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