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Geostatistical Analysis of Yield, Soil Properties and Crop Management Practices in Paddy Rice Fields

机译:水稻田产量,土壤特性和作物管理实践的地统计学分析

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We examined the possible benefit of rational site-specific crop management practices in 17 paddy fields located in an area of 2.0 ha for the prevalence of precision agriculture methods on a cooperatively managed large-scale farm in Sakurai, Nara Japan. Data on grain yield, soil physicochemical properties and farmer's crop management practices were collected in each paddy field. Unhulled rice yield was estimated at a resolution of 5m×5m in an area of 1.2 ha using a yield-monitoring combine. The spatial distribution of the variations for the collected data was characterized using geostatistical procedures. The kriged map of the unhulled rice yield drawn from the results of geostatistical analysis indicated the potential value of rational site-specific crop management using the yield-monitoring combine. The ratio of spatially structured variation to the total variation of brown rice yield, that is, the controllable proportion to total variation, was 75.4%. Each yield component i.e., the number of spikelets per square meter, filled-spikelet percentage and 1000-grain weight contributed 33.7%, 54.7% and 11.6%, respectively, to brown rice yield. These three yield components combined contributed to 96.5% of the brown rice yield variation. The agronomic factors (soil fertility factor, early growth factor, N dressing and uptake factor) contributed 79.7%, 52.1% and 41.8%, respectively, to the variation of these three yield components. Therefore these agronomic factors accounted for 58.1% of the total variation of the brown rice yield and 77.1% (i.e. 58.1% out of 75.4%) of the spatially structured variation of the brown rice yield. This controllable proportion may be a criterion for the prevalence of site-specific crop management in large-scale farm management in general, although only one case study was conducted.
机译:我们在日本奈良县樱井市的一个合作经营的大型农场中,研究了合理的针对特定地点的作物管理做法在2.0公顷面积内的17个稻田中可能带来的好处,因为这种方式广泛采用了精确农业方法。在每个稻田中都收集了谷物产量,土壤理化特性和农民的作物管理实践数据。使用产量监测联合收割机,在1.2公顷的区域中估计未脱壳水稻的产量为5m×5m。使用地统计程序来表征所收集数据的变化的空间分布。从地统计分析结果得出的未去壳水稻产量的克立格图表明,使用产量监测联合收割机进行合理的特定地点作物管理的潜在价值。糙米产量的空间结构变异与总变异的比率为75.4 %。每个产量成分,即每平方米的小穗数量,实生小穗百分比和1000粒重分别对糙米产量的贡献为33.7%,54.7%和11.6%。这三种产量构成的总和占糙米产量变化的96.5%。农艺因子(土壤肥力因子,早期生长因子,氮肥和吸收因子)分别对这三个产量构成要素的变化贡献了79.7%,52.1%和41.8%。因此,这些农艺因子占糙米产量总变化的58.1%,占糙米产量空间结构变化的77.1%(即75.4%中的58.1%)。尽管只进行了一个案例研究,但总体上这种可控制的比例可能是特定规模作物管理在大规模农场管理中盛行的标准。

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