Document Type
Article
Publication Date
5-1-2006
Abstract
The components that define cereal-grain yield potential have not been well defined. The objective of this study was to collect many differing biological measurements from a long-term winter wheat (Triticum aestivum L.) study in an attempt to better define yield potential. Four treatments were sampled that annually received 0, 45, 90, and 135 kg N ha-1 at fixed rates of phosphorus (P) (30 kg ha-1) and potassium (K) (37 kg ha -1). Mid-season measurements of leaf color, chlorophyll, normalized difference vegetative index (NDVI), plant height, canopy temperature, tiller density, plant density, soil moisture, soil NH4-N, NO3-N, organic carbon (C), total nitrogen (N), pH, and N mineralization potential were collected. In addition, soil texture and bulk density were determined to characterize each plot. Correlations and multiple linear-regression analyses were used to determine those variables that can predict final winter wheat grain yield. Both the correlation and regression analyses suggested mid-season NDVI, chlorophyll content, plant height, and total N uptake to be good predictors of final winter wheat grain yield. Copyright © Taylor & Francis Group, LLC.
Publication Source (Journal or Book title)
Journal of Plant Nutrition
First Page
873
Last Page
897
Recommended Citation
Girma, K., Martin, K., Anderson, R., Arnall, D., Brixey, K., Casillas, M., Chung, B., Dobey, B., Kamenidou, S., Kariuki, S., Katsalirou, E., Morris, J., Moss, J., Rohla, C., Sudbury, B., Tubana, B., & Raun, W. (2006). Mid-season prediction of wheat-grain yield potential using plant, soil, and sensor measurements. Journal of Plant Nutrition, 29 (5), 873-897. https://doi.org/10.1080/01904160600649187