Version 1
: Received: 29 January 2019 / Approved: 1 February 2019 / Online: 1 February 2019 (09:22:35 CET)
How to cite:
Trevisan, R. G.; Bullock, D. S.; Martin, N. F. Site-Specific Treatment Responses in On-Farm Precision Experimentation. Preprints2019, 2019020007. https://doi.org/10.20944/preprints201902.0007.v1
Trevisan, R. G.; Bullock, D. S.; Martin, N. F. Site-Specific Treatment Responses in On-Farm Precision Experimentation. Preprints 2019, 2019020007. https://doi.org/10.20944/preprints201902.0007.v1
Trevisan, R. G.; Bullock, D. S.; Martin, N. F. Site-Specific Treatment Responses in On-Farm Precision Experimentation. Preprints2019, 2019020007. https://doi.org/10.20944/preprints201902.0007.v1
APA Style
Trevisan, R. G., Bullock, D. S., & Martin, N. F. (2019). Site-Specific Treatment Responses in On-Farm Precision Experimentation. Preprints. https://doi.org/10.20944/preprints201902.0007.v1
Chicago/Turabian Style
Trevisan, R. G., David S. Bullock and Nicolas Federico Martin. 2019 "Site-Specific Treatment Responses in On-Farm Precision Experimentation" Preprints. https://doi.org/10.20944/preprints201902.0007.v1
Abstract
There is a large body of research on determining the impact of field variability of soil on crop yields. In contrast, site-specific information about crop responses to agronomic treatments is less frequent. On-Farm Precision Experimentation (OFPE) brings important information to understand the spatial variation of crop response to agronomic practices and thus to improve agronomic decisions. The objective of this work was to investigate the spatial variability of corn yield responses to nitrogen and seed rates using OFPE in four fields in the US Midwest. Geographically weighted regression was applied to generate local regression coefficients, which were used to delineate response zones in each field. The results showed the existence of great potential to adjust the rates of these inputs according to the response of each zone identified by the proposed method. The results of this study can be applied to reevaluate expectations on variable rate prescriptions guided largely by soil and variability.
Biology and Life Sciences, Agricultural Science and Agronomy
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
