Abstract
Optimizing nitrogen (N) fertilization is essential for enhancing nitrogen use efficiency (NUE), maximizing crop yields, and minimizing environmental impacts. Sensor-based technologies, integrated with variable rate applications, present a promising approach to site-specific N management. However, their effectiveness can differ across crops, soils, and topographic properties. This study compared sensor-based N management with conventional grower practices in corn and wheat over 17 on-farm site-years. Additionally, we evaluated key site-specific factors influencing sensor performance on a 57 on-farm trial dataset. Our results showed that sensor-based N management significantly improved NUE in corn compared to Grower conventional practices, reducing on average 40 kg N ha -1 without compromising yield. However, in wheat, the differences were not statistically significant across all trials, suggesting that crop-specific responses affect sensor effectiveness. Our findings highlight that corn field yield productivity, its variability, and soil texture were the most influential factors affecting sensor-based NUE. Sensor-based approach in corn outperformed grower practices in moderate to high-variability fields. These results suggest that while sensor-based N management enhances NUE in corn, its effectiveness in wheat may vary more. This study provides valuable insights into the practical limitations and site-specific factors influencing the success of sensor-based technologies, aiding in developing improved decision-support tools for precision nitrogen management.
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Claims 6
Claim · model-written summary
Sensor-based N management significantly improved NUE in corn compared with grower conventional practices.
- Taxon
- corn
Zea mays subsp. mayse0 - Treatment
- sensor-based N managemente0
- Outcome
- NUEe0
- Direction
- improvede0
- Comparator
- Grower conventional practicese0
- Setting
- on-farm site-yearse6
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“sensor-based N management significantly improved NUE in corn compared to Grower conventional practices”
e6“over 17 on-farm site-years”
Claim · model-written summary
Sensor-based N management reduced corn N application by 40 kg N ha-1 on average compared with grower practices.
- Taxon
- cornZea mays subsp. mayse0
- Treatment
- sensor-based N managemente0
- Outcome
- Ne1
- Direction
- reducinge1
- Value
- 40 kg N ha -1e1
- Qualifier
- on averagee1
- Comparator
- Grower conventional practicese0
- Setting
- on-farm site-yearse6
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“sensor-based N management significantly improved NUE in corn compared to Grower conventional practices”
e1“reducing on average 40 kg N ha -1”
e6“over 17 on-farm site-years”
Claim · model-written summary
Sensor-based N management did not compromise corn yield relative to grower practices.
- Taxon
- cornZea mays subsp. mayse0
- Treatment
- sensor-based N managemente0
- Outcome
- yielde2
- Direction
- without compromisinge2
- Comparator
- Grower conventional practicese0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“sensor-based N management significantly improved NUE in corn compared to Grower conventional practices”
e2“without compromising yield”
Claim · model-written summary
In wheat, sensor-based N management did not give statistically significant differences in NUE across all trials.
- Taxon
- wheat
Triticum aestivume3 - Treatment
- sensor-based N managemente0
- Outcome
- NUEe0
- Qualifier
- across all trialse3
- Comparator
- Grower conventional practicese0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“sensor-based N management significantly improved NUE in corn compared to Grower conventional practices”
e3“in wheat, the differences were not statistically significant across all trials”
Claim · model-written summary
Corn field yield productivity, its variability, and soil texture were the most influential factors affecting sensor-based NUE.
- Taxon
- cornZea mays subsp. mayse5
- Outcome
- sensor-based NUEe5
- Setting
- soil texturee5
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e5“corn field yield productivity, its variability, and soil texture were the most influential factors affecting sensor-based NUE”
Claim · model-written summary
Sensor-based approach in corn outperformed grower practices in moderate to high-variability fields.
- Taxon
- cornZea mays subsp. mayse4
- Treatment
- Sensor-based approache4
- Outcome
- outperformede4
- Direction
- outperformede4
- Comparator
- grower practicese4
- Setting
- moderate to high-variability fieldse4
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e4“Sensor-based approach in corn outperformed grower practices in moderate to high-variability fields”
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