Mapping and interpreting the yield variation in cereal crops

Mapping and interpreting the yield variation in cereal crops
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DOI:
10.1016/0168-1699(95)00042-9
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发表时间:
1996-02
影响因子:
8.3
通讯作者:
J. Stafford;B. Ambler;R. Lark;J. Catt
J. Stafford;B. Ambler;R. Lark;J. Catt
中科院分区:
农林科学1区
文献类型:
--
作者:
J. Stafford;B. Ambler;R. Lark;J. Catt

文献摘要

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如果根据当地确定的要求确定对耕地作物生产的投入,那么田地内空间变异的存在将带来相当大的好处。本文讨论了产量映射作为一个数据源的变异性,并强调需要整合所有来源的空间变异性的数据与管理/农艺专业知识的农民制定一个应用策略,实地投入。介绍了一个产量制图系统,并举例说明了一个农田连续四年的产量图,以及土壤空间变异性数据。对适当的统计技术进行了探索性研究,以分析比较产量图。在试验田从季节到季节的产量变化的一致性和相关性与土壤养分参数的有限采样低。然而,土壤系列和产量之间的显着相关性。
The existence of spatial variability within fields points to considerable benefits if inputs to arable crop production are targeted according to locally determined requirement. The paper discusses yield mapping as a data source on variability and emphasises the need to integrate data on all sources of spatial variability with the management/agronomic expertise of the farmer to develop an application strategy for field inputs. A yield mapping system is described and examples of yield maps from one field in four successive years, together with data on soil spatial variability are presented. An exploratory study was made of appropriate statistical techniques to compare yield maps analytically. Consistency of yield variation in the test field from season to season and correlation with a limited sampling of soil nutrient parameters were low. However, significant correlation between soil series and yield was observed.