Advances in Agronomy, Vol. 67 by Donald L. Sparks (Ed.)

By Donald L. Sparks (Ed.)

Advances in Agronomy is still famous as a number one reference and a main resource of the newest and most sensible study in agronomy. As consistently, the subjects lined are diverse and exemplary of the panoply of material handled by way of this long-running serial. quantity sixty seven comprises 4 entire and well timed studies on themes within the crop and soil sciences. bankruptcy 1 addresses essentially the most energetic parts in agronomic research--precision agriculture. bankruptcy 2 is a considerate assessment on floor cost and solute interactions in soils. bankruptcy three completely covers advances within the use of molecular genetics to reinforce abiotic/edaphic rigidity resistance in turfgrass. bankruptcy four is an invaluable evaluation on a subject that's of significant curiosity to agronomists--allelopathy.

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The field average pH, however, results in considerable underliming in this field. Because lime requirement can have high spatial dependence but low temporal variability, spending the time and Figure 3 Lime recommendation maps interpolated using inverse distance squared for 30-, 61-, and 91-m grid soil samples obtained from a central Michigan field. 26 FRANCIS J. PIERCE AND PETER NOWAK resources to obtain quality lime application maps makes sense. , 1997). Real-time sensing of soil pH could also refine our ability to make accurate and cost-effective lime requirement maps and, over time, predict the need for additional variable lime applications.

Vetsch et al. (1995) report that the inability of current fertilizer recommendations to predict soil N supply and fertilizer N use efficiency in the field makes them inadequate to capture the benefits of site-specific N management. Walters et al. (1996) predicted N requirements from soil organic matter maps. Stevenson and van Kessel (1996) showed that following pea in rotation, the depressional areas had higher soil N and a reduction in fertilizer N would be needed in wheat to reduce the negative effect of excessive soil N supply, but this was not the case following wheat in rotation.

1992). , 1996; Lenz, 1996; Lilleboe, 1996). • Where crop yield spatial variability is high and predictable: Nitrogen recommendations are based primarily on crop yield. If yield is variable, then precision N management based on yield goal makes sense if the yield variation is predictable from year to year (low temporal variability). If yield variability is high but not predictable, then precision N management will be difficult because it is generally prescriptive. , 1996). , 1995). Some suggest that previous-year yield maps do not reflect N requirements because other factors besides N availability regulate yields (Kachanoski 36 • • • • FRANCIS J.

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