Effect of Long-term Crop Rotation on Productivity, Greenhouse Gas Emission, and Soil Properties
Author | : Maciej Jerzy Kazula |
Publisher | : |
Total Pages | : 0 |
Release | : 2016 |
ISBN-10 | : OCLC:1006903620 |
ISBN-13 | : |
Rating | : 4/5 ( Downloads) |
Download or read book Effect of Long-term Crop Rotation on Productivity, Greenhouse Gas Emission, and Soil Properties written by Maciej Jerzy Kazula and published by . This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: To deal with climate change, agricultural practices that ensure continued productivity with a minimal impact on the environment are currently being evaluated. Crop rotation is often neglected due to economic influences, but it has a high potential to maximize resiliency of the corn-based system of the Midwestern region of the United States under uncertain weather patterns. Each study contained in this dissertation serve individually to answer specific questions concerning the impact of crop rotation on crop productivity, greenhouse gas emission and soil quality, but collectively serve to integrate these areas in order to better understand how crop rotation management affects the whole system. This dissertation is a transdisciplinary study grouped in five chapters where continuous corn (CC), 2-yr corn-soybean [Glycine max (L.) Merr.] (CS), and 3-yr corn-soybean-wheat (Triticum aestivum L.) (CSW) rotations were studied in a multi-site and multi-year experiment in Wisconsin in order to evaluate their impact on: (i) crop productivity, accumulation and partitioning of carbon and nitrogen, within corn plant components; (ii) greenhouse gas emission to identify the main sources of emission and to assess potential opportunities for emission reduction; and iii) key soil physical and chemical properties to determine any changes that may impact soil health. The last chapter integrated these impacts to: (iv) test the biogeochemical DAYCENT model against field collected data to estimate emission of nitrous oxide (N2O) during the non-vegetative period when field measurements were not collected, and (v) to simulate future rotation effects on N2O and crop yield responses under different climate change scenarios.