| Autor: |
Brian E. Mills, B. Wade Brorsen, Emilio Tostão, Jon T. Biermacher |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Agricultural & Environmental Letters, Vol 7, Iss 1, Pp n/a-n/a (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2471-9625 |
| DOI: |
10.1002/ael2.20061 |
| Popis: |
Abstract Making precision nitrogen (N) application clearly profitable will likely require incorporating multiple sources of information. Low‐cost sources of information include rainfall and the previous year's yield. This paper uses data from a long‐term experiment on the response of winter wheat (Triticum aestivum L.) to N fertilizer, as well as rainfall data from the University of Oklahoma's Mesonet weather station. The goal was to determine optimal topdress levels of N. A regression was used to determine the previous year's yield and rainfall on the marginal product of farmer‐applied N. Information from lagged yield and rainfall increases profit by $2.79 ha–1. Therefore, lagged yield and rainfall could be a low‐cost information source to add to other sources of information to achieve the goal of widespread adoption of precision N application. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
Plný text