Cause and Consequence in Maize Planting Dates in Germany

• Published in: Journal of agronomy and crop science (1986) Vol. 203; no. 3; pp. 227 - 240
• Main Authors: Parker, P. S., Shonkwiler, J. S., Aurbacher, J.
• Format: Journal Article
• Language: English
• Published: Berlin Wiley Subscription Services, Inc 01.06.2017
• Subjects: Adaptation; Agricultural land; Agricultural management; Agricultural production; Agronomy; Buffers; climate change; Climatology; Corn; Cost benefit analysis; Cost engineering; Crop management; Crop yield; Crops; Cultivars; Decision making; Farming; Farms; Landscape; maize; panel regression; Planting; Planting date; planting dates; Precipitation; Rainfall; Risk; Risk management; Spring (season); Strategic management; Temperature effects; Weather; Zea mays; Germany
• ISSN: 0931-2250; 1439-037X
• DOI: 10.1111/jac.12182

An important part of agricultural adaptation is the timing of crop sowing dates, affecting yields and the level of risk incurred during a particular season. Cold stress is especially relevant in maize, Zea mays L., so that the timing of planting in the spring is a tactical response to short‐term weather, but is also subject to strategic planning with regard to longer‐term climate. Both factors compare the potential implications of cold stress to the additional yield obtainable through earlier planting. New cultivars suited to growing conditions in Europe and generally increasing spring temperatures have enabled earlier planting, but it is still dependent on short‐term weather during the planting period. In the context of field‐level decision‐making, a panel regression is used to estimate the relationship between weekly local temperature and precipitation and planting dates at specific sites throughout Germany. Next, localised weather data and planting behaviour are linked to yields at the district (Landkreis) level to show the effects of planting date on yield. Based on these relationships optimal planting dates are explored with some associated costs and benefits. Results show a trend towards earlier planting that follows observed increasing spring temperatures and the availability of more cold‐tolerant cultivars but this advance is buffered by the increasing severity of minimum temperatures during a critical period. Earlier planting potentially increases yield but this is offset by additional management costs and risk. A robust and simple depiction of farmer behaviour in climatic, technological and economic context can help to understand trends in crop management and productivity that effect agricultural landscapes.