Predicting crop yields and soil‐plant nitrogen dynamics in the US Corn Belt-Reference-Cited by-同舟云学术

Predicting crop yields and soil‐plant nitrogen dynamics in the US Corn Belt

Published:2020-03 Issue:2 Volume:60 Page:721-738
ISSN:0011-183X
Container-title:Crop Science
language:en
Short-container-title:Crop Sci.

Author:

Archontoulis Sotirios V.¹^ORCID,Castellano Michael J.¹,Licht Mark A.¹^ORCID,Nichols Virginia¹,Baum Mitch¹,Huber Isaiah¹,Martinez‐Feria Rafael¹²,Puntel Laila¹³,Ordóñez Raziel A.¹,Iqbal Javed¹³,Wright Emily E.¹,Dietzel Ranae N.¹,Helmers Matt⁴,Vanloocke Andy¹,Liebman Matt¹,Hatfield Jerry L.⁵,Herzmann Daryl¹,Córdova S. Carolina¹⁶,Edmonds Patrick¹,Togliatti Kaitlin¹,Kessler Ashlyn¹,Danalatos Gerasimos¹,Pasley Heather¹,Pederson Carl⁴,Lamkey Kendall R.¹^ORCID

Affiliation:

1. Department of Agronomy Iowa State University Agronomy Hall Ames IA USA

2. Department of Earth and Environmental Science Michigan State University East Lansing MI USA

3. Department of Agronomy and Horticulture University of Nebraska‐Lincoln Lincoln NE USA

4. Department of Agricultural and Biosystems Engineering Iowa State University Elings Hall Ames IA USA

5. USDA‐ARS National Laboratory for Agriculture and the Environment Ames IA USA

6. Kellogg Biological Station Michigan State University East Lansing MI USA

Funder

National Science Foundation

U.S. Department of Agriculture

Foundation for Food and Agriculture Research

Iowa Soybean Association

Iowa State University

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/csc2.20039

Reference80 articles.

1. Prediction of Maize Grain Yield before Maturity Using Improved Temporal Height Estimates of Unmanned Aerial Systems

2. Nonlinear Regression Models and Applications in Agricultural Research

3. Archontoulis S. V. &Licht M.(2016).A web platform for Forecasting and Assessment of Cropping sysTems (FACTS). Integrated Crop Management Newsletter Iowa State University. Retrieved fromhttp://crops.extension.iastate.edu/facts/

4. Archontoulis S.V. Licht M. Castellano M. Dietzel R. VanLoocke A. Ordonez R. …Helmers M.(2016).Understanding the 2016 yields and interactions between soils crops climate and management. In Proceedings of the 28thICM conference (pp. 13–17). November 30–December 1 2016. Ames IA: ICM.

5. A methodology and an optimization tool to calibrate phenology of short-day species included in the APSIM PLANT model: Application to soybean

Cited by 107 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cotton yield prediction utilizing unmanned aerial vehicles (UAV) and Bayesian neural networks;Computers and Electronics in Agriculture;2024-11

2. Observational evidence for groundwater influence on crop yields in the United States;Proceedings of the National Academy of Sciences;2024-08-26

3. Simulating within-field spatial and temporal corn yield response to nitrogen with APSIM model;Precision Agriculture;2024-08-13

4. On-farm evaluation of a crop forecast-based approach for season-specific nitrogen application in winter wheat;Precision Agriculture;2024-08-03

5. Nitrogen fertilizer and plant density affect maize residue quantity and quality more than previous crop and genotype;European Journal of Agronomy;2024-08