Dynamic model-based recommendations increase the precision and sustainability of N fertilization in midwestern US maize production

Sela, Shai; Es, Harold M. van; Moebius‐Clune, Bianca N.; Marjerison, Rebecca D.; Kneubuhler, G.

doi:10.1016/j.compag.2018.08.010

Cited by 28 publications

(17 citation statements)

References 59 publications

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“…Another possibility is illustrated by a soil-based model for maize in the United States, which combines information on soils, yields, and each year's weather to inform farmers how much nitrogen to apply during the growing season. Papers have estimated potential reductions in nitrogen application using this model of 20-40 percent (Sela et al 2019(Sela et al , 2018. This model is commercially available to farmers in the United States today.…”

Section: Precision Agriculturementioning

confidence: 99%

A Pathway to Carbon Neutral Agriculture in Denmark

Searchinger¹,

Zionts²,

Peng³

et al. 2021

WRIPUB

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Can the world meet growing demand for food while sharply reducing greenhouse gas emissions from agriculture – and without converting more forests into agriculture? In the World Resources Report: Creating a Sustainable Food Future, WRI set forth a challenging, global five-course menu of actions to do so. How should a country adapt this menu to its own agricultural context? A Pathway to Carbon Neutral Agriculture in Denmark answers this question for Denmark, a country whose major agricultural organizations have committed to become carbon neutral by 2050. A number of lessons are noteworthy, including: The importance of investing in developing, deploying and continuously improving agricultural technologies to mitigate climate change; Nations can’t reduce agricultural greenhouse gas emissions just by producing less food—that would just shift emissions to other countries. Rather, the world will need to produce more food, but on the same (or less) amount of land as today; and Increased food production must be linked with progress on reducing emissions and restoring forests and peatlands. The report’s lessons can inform not only Denmark’s agricultural future, but also that of other advanced agricultural economies.

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Section: Precision Agriculturementioning

confidence: 99%

A Pathway to Carbon Neutral Agriculture in Denmark

Searchinger¹,

Zionts²,

Peng³

et al. 2021

WRIPUB

View full text Add to dashboard Cite

show abstract

“…Due to the diversity of fertilization methods and factors that influence their effectiveness, the optimal fertilizer application rate for crops in different cropping systems in different regions is subjected to large variations. Taking the economic benefits and the N utilization efficiency into account, a dynamic biogeochemical model for maize recommended an N application rate of 191 kg N ha −1 for three states in the Midwest region of the United States (Sela et al, 2018). Chen et al (2011) reported that the optimal N application rate for maize as recommended by the soil crop management system was 237 kg N ha −1 in China; showed that the optimal N application rate for maize as suggested by the results of field trials conducted in the North China Plain was 240 kg N ha −1 .…”

Section: Improving Yield and Npfp By Adopting Better Agricultural Pramentioning

confidence: 99%

Narrowing Yield Gaps and Enhancing Nitrogen Utilization for Summer Maize (Zea mays L) by Combining the Effects of Varying Nitrogen Fertilizer Input and Planting Density in DSSAT Simulations

Ren

Cheng

et al. 2020

Front. Plant Sci.

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“…Geographic information system technology has been widely applied to studies of regional cultivated land quantity and quality and fertilization management. Researchers mostly use GIS technology to characterize and analyze the spatial data of cultivated land quantity and quality at the regional scale to achieve precise fertilization and fertilizer management in different zones (15)(16)(17)(18). Based on the research on the spatial distribution of cultivated land quality, the researchers used estimation models to predict the appropriate N application level and grain yield (19,20).…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Variation Characteristics and Driving Factors of Nitrogen Use Efficiency of Wheat–Rice Rotation Systems in the Taihu Lake Region

Lu¹,

Ma²,

Yu³

et al. 2021

Front. Soil Sci.

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During the past three decades, a large amount of nitrogen (N) fertilizers has been applied in the rice and wheat rotation system in the Taihu Lake region of southern China to achieve high yield, resulting in low N use efficiency (NUE). China is implementing the national strategy “fertilizer reduction with efficiency increase” to solve the serious ecological problems caused by excessive fertilization. However, the effects of N fertilizer reduction on soil fertility and their integrated effect on NUE of rice–wheat rotation systems in the Taihu Lake region are not fully understood. In this study, test fields with different soil-fertility qualities were selected in typical rice–wheat areas in the Taihu Lake region to perform a 2-year rice–wheat N fertilizer effect test to obtain the comprehensive quantitative relationship among the integrated fertility index (IFI), nitrogen application level (NA), and NUE. Through the investigation and spatial analysis of NA and IFI in the study area in 2003 and 2017, the spatial and temporal variation characteristics of NA and IFI in the study area in the past 15-year period were obtained, and this information was spatially coupled with the comprehensive quantitative relationship model of NUE to reveal the variation characteristics and driving factors of NUE in the study area. The result shows that the wheat and rice NA in the study area in 2017 increased by 35.5 and 8.4%, respectively, compared with 2003. Due to excessive fertilization, the soil nitrogen, phosphorus, and potassium content of cultivated land in the study area in 2017 was greater than that in 2003, especially soil-available phosphorus and potassium contents, whereas soil organic matter (SOM) content was reduced. The cultivated land IFI of the study area as a whole increased by 7.2% in the 15-year period. The NUE of rice and wheat rotation increased by 5.8% in 2017 compared with that of 2003 due to the improvement in crop varieties and N fertilizer yield benefits. The increases of NA and IFI both have negative correlations with the NUE improvement, and the NA increase has a greater impact. In addition, the terrain, soil type, texture, and parent material also affect the soil nutrient-preserving capability and, thus, affect the spatial variation of IFI and NUE improvement. These factors have greater influence on NUE improvement of wheat than rice. This study provides a novel and effective method for analyzing the spatial-temporal variation characteristics of NUE in the rice–wheat system and is conducive to guide precise fertilization and N fertilizer reduction based on the spatial analysis of NA with IFI and NUE.

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Dynamic model-based recommendations increase the precision and sustainability of N fertilization in midwestern US maize production

Cited by 28 publications

References 59 publications

A Pathway to Carbon Neutral Agriculture in Denmark

A Pathway to Carbon Neutral Agriculture in Denmark

Narrowing Yield Gaps and Enhancing Nitrogen Utilization for Summer Maize (Zea mays L) by Combining the Effects of Varying Nitrogen Fertilizer Input and Planting Density in DSSAT Simulations

Spatiotemporal Variation Characteristics and Driving Factors of Nitrogen Use Efficiency of Wheat–Rice Rotation Systems in the Taihu Lake Region

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