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黔中喀斯特山区村级尺度土壤养分空间变异性及其与水稻产量的关系

李云,冯跃华**,武彪,王小艳,纪洪亭,李传玮   

  1. (贵州大学农学院, 贵阳 550025)
  • 出版日期:2013-11-18 发布日期:2013-11-18

Spatial variability of soil nutrients and their relations with rice yield at village scale in karst mountainous area of Guizhou Province, Southwest China.

LI Yun, FENG Yue-hua, WU Biao, WANG Xiao-yan, JI Hong-ting, LI Chuan-wei   

  1. (College of Agronomy, Guizhou University, Guiyang 550025, China)
  • Online:2013-11-18 Published:2013-11-18

摘要:

以贵州省安顺市西秀区旧州镇文星村为研究区域,采用地统计学方法,研究了黔中喀斯特山区土壤pH值、有机质、碱解氮、有效磷、速效钾、全氮、全磷、全钾、有效铜、有效锌、有效铁、有效锰和水稻产量的空间变异规律及其相互关系.结果表明: 土壤pH值、碱解氮、有效磷、速效钾、全磷、有效铜及水稻产量构成因素的C0/(C0+C)<25%,表现为强烈的空间相关性,有机质、全氮、全钾、有效锌、有效铁、有效锰及水稻产量的C0/(C0+C)为25%~75%,具有中等空间相关性.土壤速效钾含量与水稻产量关系最为密切,偏相关系数达到极显著水平(r=0.4669,P<0.0001),土壤碱解氮、速效钾和有效磷对有效穗数和千粒重的直接通径系数均为正值,其大小顺序与偏相关分析结果一致.克里金插值结果表明,土壤有机质、碱解氮、速效钾、全氮、有效铜、有效锌的含量在研究区均存在从西南向东北逐渐递减的趋势;产量在西北部及东南部较高.
 

Abstract: By using geostatistics methods, an investigation was conducted on the spatial variability of soil pH, organic matter, total N, P, and K, and available N, P, K, Cu, Zn, Fe, and Mn and their relations with rice yield in Wenxing Village, Anshun City of Guizhou Province, Southwest China. The C0/(C0+C) ratios for the soil pH, total P, and available N, P, K, and Cu and the rice yield components were lower than 25%, indicating their strong spatial correlations, while the C0/(C0+C) ratios for the soil organic matter, total N and K, and available Zn, Fe, and Mn and the rice yield  were 25%-75%, showing a medium spatial correlation. Of all the soil nutrients, the soil available K had the closest relation with rice yield (r=0.4669, P<0.0001).The direct path coefficients of the soil available N, K and P to the effective panicle and thousand-grain mass were positive, in line with the partial correlation analysis. The Kriging interpolation showed that the soil organic matter, total N, and available N, K, Cu, and Zn contents presented a decreasing trend from the southwest to northeast, but the rice yield was higher in the northwest and southeast of the Wenxing Village.