Relationship between mean square errors and wheat grain yields in long-term experiments

Raun, W. R.; Golden, Mary; Dhillon, Jagmandeep; Aliddeki, D.; Driver, Ethan; Ervin, Susan M.; Diaite-Koumba, M.; Jones, Billie J.; Lasquites, J.; Figueiredo, Bruno; Corso, Mariana Ramos Del; Remondet, N.; Zoca, Samuel Menegatti; Watkins, Patrick; Mullock, Jeremiah

doi:10.1080/01904167.2016.1257638

Cited by 5 publications

(6 citation statements)

References 7 publications

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“…At Perkins's location, total precipitation was consistent with the 10-yr average during both years and received 681 and 596 mm rainfall in 2017 and 2018, respectively. Considering these differences and following Raun et al (2017b) reference where they mentioned that environmental effects are ignored upon combining yield data from experimental fields, as such data over the years was not integrated. We split NDVI reading based on GDD's for its comparison with grain yield, grain protein concentration (GPC), N uptake, and NFUE.…”

Section: Resultsmentioning

confidence: 99%

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%

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

et al. 2020

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“…In general, it is not recommended that sites and/or years be combined due to the environmental differences that can change drastically and affect yield results (Raun et al., 2017). In their previous work included 83 site years, coming from two long‐term experiments, and showed that combining any two or three consecutive year periods was not advisable because the criterion for combining locations (e.g., homogeneity of error variance) over any two or three consecutive years had not been met (Raun et al., 2017).…”

Section: Resultsmentioning

confidence: 99%

“…In general, it is not recommended that sites and/or years be combined due to the environmental differences that can change drastically and affect yield results (Raun et al, 2017). In their previous work included 83 site years, coming from two long-term experiments, and showed that combining any two or three consecutive year periods was not advisable because the criterion for combining locations (e.g., homo-geneity of error variance) over any two or three consecutive years had not been met (Raun et al, 2017). This present work represents the challenge of identifying a climatological boundary where yield or yield potential could be predicted F I G U R E 8 (a) Predicted yield potential (YP 0 , Mg ha −1 ) using sequential normalized difference vegetative index (NDVI) sensor readings coming from a range of preplant N treatments and the corresponding r 2 over the entire growing season.…”

Section: Resultsmentioning

confidence: 99%

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

et al. 2020

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Variable influence of the environment on early‐season plant growth leads to similarly variable yield levels from year to year. This study was conducted to determine the ideal point in the growing season when normalized difference vegetation index (NDVI) sensor readings were highly correlated with grain yield. For each site‐year, NDVI readings were collected at least seven times from December through April. Readings were collected from two long‐term experiments where an N response was expected in plots that historically received different N rates. The number of days from planting to sensing where growing degree days (GDD) were more than 0 (GDD > 0) was tabulated by site‐year for all dates when NDVI data were collected. The r2 was computed for NDVI versus final grain yield at all sensing dates and plotted against the respective GDD > 0 when readings were taken. Linear plateau models were used to determine the point when the r2 peaked. Averaged over 3 yr (2016–2018), the optimum GDD > 0 needed to predict grain yield using NDVI in both long‐term trials was between 97 and 112. Use of the GDD > 0 as a numeric metric to delineate the best time and date to collect NDVI readings and predict yield potential can then be used to formulate accurate midseason fertilizer N rates. Adhering to quantitative GDD > 0 data is much more reliable than using subjective morphological scales. These critical GDD values can be reported on a day‐to‐day, by‐location basis (http://mesonet.org) for in‐season producer use.

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“…Additionally, single degree of freedom contrasts were employed to evaluate treatment linear relationships and treatment differences. Each site was independently analyzed to avoid overlooking treatment response due to different environmental effect (Raun et al., 2017b).…”

Section: Methodsmentioning

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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Relationship between mean square errors and wheat grain yields in long-term experiments

Cited by 5 publications

References 7 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

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

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

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