Applied use of growing degree days to refine optimum times for nitrogen stress sensing in winter wheat

Dhillon, Jagmandeep; Figueiredo, Bruno; Eickhoff, Elizabeth; Raun, W. R.

doi:10.1002/agj2.20007

Cited by 15 publications

(21 citation statements)

References 31 publications

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“…The relationship between NDVI with grain yield at Efaw had an R 2 of 0.35 before 90 GDD and 0.58 after 90 GDD, but R 2 was <.01 at Perkins (Table 4). Recently, Dhillon, Figueiredo, Eickhoff, and Raun (2019) used a GDD based numerical scale and established that NDVI collected between 90 and 120 GDDs was ideal for N recommendation in winter wheat.…”

Section: Resultsmentioning

confidence: 99%

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Nitrogen management impact on winter wheat grain yield and estimated plant nitrogen loss

et al. 2020

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Method of N application in winter wheat (Triticum aestivum L.) and its impact on estimated plant N loss has not been extensively evaluated. The effects of the pre‐plant N application method, topdress N application method, and their interactions on grain yield, grain protein concentration (GPC), nitrogen fertilizer recovery use efficiency (NFUE), and gaseous N loss was investigated. The trials were set up in an incomplete factorial within a randomized complete block design and replicated three times for 5 site‐years. Data collection included normalized difference vegetation index (NDVI), grain yield, and forage and grain N concentration. The NDVI before and after 90 growing degree days (GDD) were correlated with final grain yield, grain N uptake, GPC, and NFUE. At Efaw location, NDVI after 90 GDDs accounted for 58% of variation in grain yield and 51% variation in grain N uptake. However, NDVI was found to be a poor indicator of both GPC and NFUE. Grain yield was not affected by the method and timing of N application at Efaw. Alternatively, at Perkins, topdress applications resulted in higher yields. The GPC and NFUE were improved with the topdress applications. Generally, topdress application enhanced GPC and NFUE without decreasing the final grain yield. The difference method used in calculating gaseous N loss did not always reveal similar results, and estimated plant N loss was variable by site‐year, and depended on daily fluctuations in the environment.

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Section: Resultsmentioning

confidence: 99%

“…The accuracy of site-specific in-season fertilizer management decisions is dependent on accurate prediction of N uptake (Ali, Ibrahim, & Singh, 2020) and grain yield potential (Dhillon et al, 2020). Numerous researchers have deduced that NDVI is a good indicator of N uptake (Raun et al, 2001Stone et al, 1996).…”

Section: Resultsmentioning

confidence: 99%

Nitrogen management impact on winter wheat grain yield and estimated plant nitrogen loss

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“…Various production practices have demonstrated the ability to promote greater NUE. Midseason applications of N award the benefits of enhanced N utilization by the plant (Dhillon, Figueiredo, Eickhoff, & Raun, 2020a;Malhi & Nyborg, 1983;Olson, 1986;Olson & Swallow, 1984;Raun et al, 2017a). Furthermore, subsurface placement of N in concentrated bands leads to decreased N loss and higher plant uptake (Carter & Rennie, 1984;Dhillon et al, 2020b;Malhi, Nyborg, & Solberg, 1996;Nkebiwe, Weinmann, Bar-Tal, & Müller, 2016;Rao & Dao, 1996;Rees.…”

Section: Introductionmentioning

confidence: 99%

Wheat grain yield and nitrogen uptake as influenced by fertilizer placement depth

Bryant-Schlobohm

Dhillon

Wehmeyer

et al. 2020

Agrosystems Geosci & Env

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Global nitrogen use efficiency (NUE) for cereal production is estimated to be only 33%. Providing producers with efficient methods to increase the effectiveness of their N applications is integral to agricultural sustainability and environmental quality. This study was conducted to evaluate the effect of urea ammonium nitrate (UAN) injected at different depths on grain yield and uptake of N in grain. Liquid UAN (28–0–0) was applied in bands at depths of 5 and 10 cm, along with surface applications, all at various N rates around Feekes growth stage 5. Placement depth had the most significant impact on yield at low N rates. Subsurface application at 10 cm was most beneficial in low N no‐till (NT) soils, whereas surface treatments produced higher yields in low N environments of conventional till (CT) systems. Three of the four locations experienced higher rates of N uptake from subsurface applications when compared with surface treatments. No difference in grain N uptake was apparent between application depths of 5 and 10 cm. Subsurface N applications were beneficial in reducing rates of ammonia volatilization from urea‐based fertilizers. While there was no clear separation between 5 and 10 cm application depths, subsurface depths of 10 cm provide the most significant promise in benefiting yield in low N environments of NT soils and increasing grain N across CT and NT systems.

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“…This was not entirely clear when plotting slope by GDD > 0, for NDVI vs. yield (Table ). Dhillon, Figueiredo, Eickhoff, and Raun (), noted a precise yield potential prediction was between 97 and 112 GDDs (GDD > 0).…”

Section: Resultsmentioning

confidence: 98%

Value of composite Normalized Difference Vegetative Index and growing degree days data in Oklahoma, 1999 to 2018

Figueiredo

Dhillon

Eickhoff

et al. 2020

Agrosystems Geosci & Env

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For over 25 yr, sensor-based Normalized Difference Vegetative Index (NDVI) data has been collected from both satellite imagery and near-plant (3-m) readings. Because calibrated NDVI data coming from active sensors is still relatively new, limited research has returned to evaluate databases including multiple years and environments. Composite NDVI readings and final grain yield were collected from 1999 to 2018. This included growing degree day (GDD) records for each mid-season sensor measurement. This was attempted to potentially improve the use of a historical and subjective morphological scale. Using location-specific-archived-data from the Oklahoma Mesonet, the exact number of days from planting to sensing where GDD > 0 for each date and location were compiled. The ensuing relationship between NDVI (for a predetermined GDD > 0 range) and yield was determined. Grain yield prediction was improved between 80 and 115 GDDs. These ranges further targeted a climatologically identifiable metric that precisely determined when to collect sensor readings in future years. Compared with the current composite yield prediction equation for Oklahoma, the new exponential function created from this study was higher in the lower-yielding environments. Underestimation of fertilizer N rates has been voiced by producers in recent years. This has likely been the product of more current varieties, more efficient farming practices, and increased optimum N rates needed for higher yields. This validates the adoption of a new YP0 equation for OSU's on-line Sensor Based Nitrogen Rate Calculator, allowing accurate yield prediction between 80 and 115 GDDs.

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Applied use of growing degree days to refine optimum times for nitrogen stress sensing in winter wheat

Cited by 15 publications

References 31 publications

Nitrogen management impact on winter wheat grain yield and estimated plant nitrogen loss

Nitrogen management impact on winter wheat grain yield and estimated plant nitrogen loss

Wheat grain yield and nitrogen uptake as influenced by fertilizer placement depth

Value of composite Normalized Difference Vegetative Index and growing degree days data in Oklahoma, 1999 to 2018

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