Abstract
The National Agricultural Statistics Service (NASS) makes predictions of soybean yield at both the state and national level. Experience indicates that the key to improving yield predictions is improving the prediction of soybean weight pod. Towards this end, NASS has entered into a three year cooperative agreement with the Department of Plant, Soil and General Agriculture at Southern lllinois University at Carbondale (SID-C) to investigate predictive models for soybean weight per pod based on a measurement of pod width and a count of the number of seeds per pod. Aside from the scientific issues involved in this effort, the practical issues of eventually developing procedures which can be implemented in the context of the NASS Objective Yield Survey, which is an immense data collection effort, must be addressed by this cooperative effort. The results obtained from the three years of this cooperative effort will provide a useful starting point for further work in this direction.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Keller, Timothy P.; Schmidt, Michael; and Schmidt, Catherine
(2001).
"PREDICTING SOYBEAN WEIGHT PER POD,"
Conference on Applied Statistics in Agriculture.
https://doi.org/10.4148/2475-7772.1229
PREDICTING SOYBEAN WEIGHT PER POD
The National Agricultural Statistics Service (NASS) makes predictions of soybean yield at both the state and national level. Experience indicates that the key to improving yield predictions is improving the prediction of soybean weight pod. Towards this end, NASS has entered into a three year cooperative agreement with the Department of Plant, Soil and General Agriculture at Southern lllinois University at Carbondale (SID-C) to investigate predictive models for soybean weight per pod based on a measurement of pod width and a count of the number of seeds per pod. Aside from the scientific issues involved in this effort, the practical issues of eventually developing procedures which can be implemented in the context of the NASS Objective Yield Survey, which is an immense data collection effort, must be addressed by this cooperative effort. The results obtained from the three years of this cooperative effort will provide a useful starting point for further work in this direction.
