Selecting cotton yield response function to estimate profit-maximizing potassium fertilization rates for cotton production in Tennessee
| Autor: | Xavier Harmon, C. Owen Gwathmey, Christopher N. Boyer, Roland K. Roberts, James A. Larson |
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| Rok vydání: | 2017 |
| Předmět: |
Physiology
Crop yield Potassium 05 social sciences chemistry.chemical_element 04 agricultural and veterinary sciences engineering.material Gossypium hirsutum Agricultural economics Human fertilization chemistry Crop production 0502 economics and business Statistics 040103 agronomy & agriculture engineering 0401 agriculture forestry and fisheries 050202 agricultural economics & policy Fertilizer Agronomy and Crop Science Plant nutrition Mathematics |
| Zdroj: | Journal of Plant Nutrition. 40:1547-1556 |
| ISSN: | 1532-4087 0190-4167 |
| Popis: | Recent research has shown that stochastic yield response functions fit data better than deterministic yield response functions; however, little research exists comparing profit-maximizing fertilizer rates for upland cotton (Gossypium hirsutum L.) using stochastic and deterministic yield response functions. The objective of this research was to determine the most appropriate yield response functional form from which to determine the profit-maximizing potassium (K) rate for cotton in Tennessee. Data were used from a nine-year K fertilizer experiment in Jackson, Tennessee. Quadratic, quadratic-plus-plateau, linear response plateau, and linear response stochastic plateau response functions were estimated to determine the yield response function that best fit the data. The linear response stochastic plateau function was the most suitable yield response function for the data. The profit-maximizing K rate ranged from 65.2 to 74.3 kg K ha−1. Misspecification of the yield response function recommended over... |
| Databáze: | OpenAIRE |
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