How can we estimate optimum fertilizer rates with accuracy and precision?

Miguez, Fernando E.; Poffenbarger, Hanna J.

doi:10.1002/ael2.20075

Cited by 18 publications

(15 citation statements)

References 18 publications

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“…In soil test correlation, the relationship between the soil test value and the yield response is in general described by fitting to the data models like linear‐plateau, quadratic‐plateau, exponential, among others. However, the model choice affects the CSTV or the agronomic optimum rates of fertilization (Cerrato & Blackmer, 1990; Cox, 1992; Mallarino & Blackmer, 1992; Miguez & Poffenbarger, 2022). In general, the CSTVs estimated at the join point of the linear‐plateau (LP) model are lower than those estimated at the join point of the quadratic‐plateau (QP) model (Cox, 1992) because the values in the x‐axis change smoothly in the quadratic curve.…”

Section: Resultsmentioning

confidence: 99%

Critical soil test values of phosphorus and potassium for soybean and corn in three long‐term trials in North Carolina

Morales

Gatiboni

Osmond

et al. 2023

Soil Science Soc of Amer J

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Soil test correlation is continuously necessary to affirm critical soil test values (CSTV) for specific nutrients, as changes in crop management and development of new plant varieties may change CSTVs. The objective of this study was to determine the CSTVs of phosphorus (P) and potassium (K) for soybean [Glycine max (L.)Merr.] and corn (Zea mays L.) using three long-term trials in North Carolina. Soybean was cultivated in 2020 and corn in 2021 in three long-term trials established on research stations located in the Tidewater, Coastal Plain, and Piedmont regions of NC. In each trial, up to five rates of P (0-88.2 kg P ha −1 ) and K (0-186.8 kg K ha −1 ) were applied annually at planting. Soil and tissue samples were analyzed and yield measured. There was yield response to P in all site-years. The average CSTVs of P for corn and soybean were 51, 66, and 14 mg kg −1 for the sites at Tidewater, Coastal Plain, and Piedmont regions. The CSTV of P for Piedmont (14 mg kg −1 ) differs greatly from the current recommendation for NC (52 mg kg −1 ). The response to K fertilization was observed only in three site-years and the CSTVs varied from 49 to 93 mg kg −1 , while the current recommendation is setting the CSTV of K at 85 mg kg −1 . These results indicate it is necessary to develop further studies of soil test correlation for P and K in North Carolina to better estimate the CSTVs for the state.

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Section: Resultsmentioning

confidence: 99%

Critical soil test values of phosphorus and potassium for soybean and corn in three long‐term trials in North Carolina

Morales

Gatiboni

Osmond

et al. 2023

Soil Science Soc of Amer J

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“…In these independent analyses, the statistical power and precision to estimate parameters as well as the error variance was substantially lower than estimates from response surfaces and would be expected to result in much more variable estimates (Figure 2C). With only 10 observations in the individual analyses, there is little statistical power to identify the correct model, so presumably, some of the cases could result in a choice of the wrong model (F. E. Miguez & Poffenbarger, 2022). Fitting an incorrect model is likely to further exacerbate errors in EONR estimates with minimum impact on YEONR estimates (Baum et al., 2023).…”

Section: Discussionmentioning

confidence: 99%

“…Few studies have analyzed a three-way interaction of plant density, N rate, and hybrid on grain yield (K. Mastrodomenico et al, 2018;Rossini et al, 2011). These studies have focused on crop physiology aspects and did not calculate optimum N rate and optimum plant densities as none of them had sufficient treatment levels to reproduce a continuous grain yield response to plant density × N rate (F. E. Miguez & Poffenbarger, 2022). Recently, H. Zhang et al (2022) determined economic optimum N rates and plant densities that maximize profits for summer maize in China using limited treatment levels for one hybrid.…”

Section: Introductionmentioning

confidence: 99%

From a point to a range of optimum estimates for maize plant density and nitrogen rate recommendations

King,

Archontoulis,

Baum

et al. 2024

Agronomy Journal

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Water requirements of early‐maturing maize hybrids might be lower than those of late‐maturing maize hybrids. This study aimed to analyze the effects of different irrigation management on grain yield (GY), water uptake patterns, evaporation (E), and transpiration (T) of two maize hybrids differing in maturity via stable isotope method. The field experiment with 36 lysimeters (4 m wide × 4 m long) under rain‐shelterswas conducted with an early‐maturing (DH518, EM) and a mid‐ and late‐maturing (DH605, LM) hybrid with three replicates from 2021‐2022. Maize plants were grown under three irrigation amounts (W1, W2 and W3 was irrigated to maintain soil moisture at 45%, 60%, and 75% of field capacity, respectively) by flood (FI) and drip (DI) irrigation under rain‐out shelters. Results showed GY and evapotranspiration (ET) of EM were 8% and 12% lower, while the crop water productivity (CWP) was 6% higher than that of LM. Water uptake of both hybrids occurred mainly within 0‐60 cm soil layer during the vegetative stage. Water uptake of both hybrids occurred mainly within 0‐60 cm soil layer during the vegetative stage. Summer maize under FI absorbed more water from deep soil layer than DI in the late growth stage. Compared with LM, the water absorption depth of EM became shallower in the late growth stage. Water uptake of maize was mainly from the deeper soil under water stress conditions. E of total ET accounts for 43% under DI and 57% under FI, GY and CWP were 22% and 51% higher than those of FI. Together with choosing early‐maturing hybrids, optimization of water management with DIW3 could achieve higher GY and CWP. The optimization of irrigation method and hybrids could provide a reference for local farmers to improve grain yield and CWP.This article is protected by copyright. All rights reserved

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“…Corn yield response to sidedress N rate was quantified by fitting a three-parameter quadratic-plateau response model (Miguez & Poffenbarger, 2022) for each site using PROC NLMIXED in SAS 9.4 (SAS Institute). The sidedress EONR was calculated for each site by setting the derivative of the quadratic portion of the response curve equal to a fertilizer:crop price ratio of 5.6 kg grain kg −1 N (0.1 bushel grain lb −1 N).…”

Section: Methodsmentioning

confidence: 99%

Recalibrating the Pennsylvania pre‐sidedress soil nitrate test recommendations for modern corn production

et al. 2023

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The pre‐sidedress soil nitrate test (PSNT) was developed over 30 years ago to determine sidedress N fertilizer recommendations for corn (Zea mays L.). Since the original PSNT calibrations were developed, changes in production practices such as no‐till and cover cropping and increases in corn yields and N use efficiency could affect the accuracy of PSNT recommendations. To update the PSNT recommendations in Pennsylvania and demonstrate the test's efficacy, we compiled a dataset of 32 calibration sites and 13 demonstration sites where the PSNT was conducted and the economically optimum N rate (EONR) for corn was determined from an N fertilizer yield response curve. We recalibrated the PSNT recommendation algorithm and compared its accuracy to the original calibration. The new calibration resulted in a single long‐term manure history factor that interacted with the PSNT result to adjust the sidedress N recommendation (‐5.7 kg N ha−1 (mg NO3‐N kg−1)−1). The new calibration also included a term for a mixed species cover crop, which increased the sidedress N recommendation 56.2 kg N ha−1. Finally, the coefficient that scales the N fertilizer recommendation based on yield goal decreased by 29% from the original calibration to 12.9 kg N Mg−1 grain. The new algorithm for predicting EONR reduced the error of the sidedress N recommendation by one‐half compared to the original calibration. The new PSNT calibration will allow users to accurately determine sidedress N recommendations in sites with a long‐term manure history and underscores the importance of updating soil fertility recommendation algorithms with modern data.This article is protected by copyright. All rights reserved

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How can we estimate optimum fertilizer rates with accuracy and precision?

Cited by 18 publications

References 18 publications

Critical soil test values of phosphorus and potassium for soybean and corn in three long‐term trials in North Carolina

Critical soil test values of phosphorus and potassium for soybean and corn in three long‐term trials in North Carolina

From a point to a range of optimum estimates for maize plant density and nitrogen rate recommendations

Recalibrating the Pennsylvania pre‐sidedress soil nitrate test recommendations for modern corn production

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