By Donald L. Sparks (Ed.)
Advances in Agronomy is still well-known as a number one reference and a primary resource of the newest and top examine in agronomy. As continuously, the themes lined are assorted and exemplary of the panoply of material handled by way of this long-running serial. quantity sixty seven includes 4 finished and well timed stories on subject matters within the crop and soil sciences. bankruptcy 1 addresses the most lively 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 pressure resistance in turfgrass. bankruptcy four is an invaluable evaluate on a subject matter that's of significant curiosity to agronomists--allelopathy.
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1998) suggest that more intense grid sampling is needed to assess soil fertility in the cotton (Gossypium hirsutum) ﬁelds they studied. Once an accurate map of P and K levels is created, then expectations about the relationship between yield and soil fertility need to be kept in perspective. A low or lack of correlation between soil fertility and yield in a given year means that other factors regulated yield. This outcome does not diminish the value of following a proven soil fertility management philosophy.
To a large extent, sampling depends on the nature of the entity of interest. Soil sampling for soil survey, for example, is used to determine how much of the land is of a particular type or what proportion possesses some soil attribute (Webster and Oliver, 1990). , 1997). Regardless of entity, the nature of spatial and temporal variation of that entity should affect sampling and statistical estimation procedures. The goal of network or spatial sampling for precision agriculture is to provide an accurate and affordable map of the occurrence of a speciﬁc parameter to be managed.
Moreover, the technology to variably apply fertilizers became available in the mid-1980s. Spatial variability in P and K was already known (Peck and Melsted, 1973) and was not difﬁcult to measure within agricultural ﬁelds. The concept of VRT was very intuitive and easy to understand and implement (Luellen, 1985). The temporal component of the spatial variability of P and K is low, making it easy to soil test at a convenient time and requiring only periodic (every few years is often the recommendation) repeated sampling.