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湖南怀化花洋溪村“贡田”稻米品质的影响因素分析 被引量:2
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作者 赵紫薇 欧张丹 +3 位作者 田茂平 赵书慧 陈玉梅 张振华 《植物营养与肥料学报》 CAS CSCD 北大核心 2023年第2期334-344,共11页
【目的】湖南怀化市花洋溪村“贡田”生产的稻米品质优良,历史上一直作为贡品。我们研究了品种和“贡田”的理化性状和环境,以分析形成优质稻米的影响因素。【方法】在湖南怀化市花洋溪村的“贡田”与非贡田中采集0-20 cm耕层土样,测定... 【目的】湖南怀化市花洋溪村“贡田”生产的稻米品质优良,历史上一直作为贡品。我们研究了品种和“贡田”的理化性状和环境,以分析形成优质稻米的影响因素。【方法】在湖南怀化市花洋溪村的“贡田”与非贡田中采集0-20 cm耕层土样,测定土壤有机碳、全量及速效氮磷养分含量。在两块田中同时种植了‘禾中香’、‘穗晚香’、‘农香25’ 3个水稻品种,测定了灌溉水、稻谷和土壤的22种元素含量,分析了稻米的食味品质(外观、黏度、硬度、平衡度、食味值)及营养品质(蛋白质、脂肪、淀粉)。通过冗余分析、结构方程模型等方法,解析“贡田”对水稻食味及营养品质的影响。【结果】与非贡田相比,“贡田”土壤有机质、全氮、全磷、速效钾、有效磷含量,微生物量碳、微生物量氮、微生物量磷含量,以及铁、铝含量均明显较高。“贡田”中生长的水稻籽粒中含有较高的锌、铷、锶含量和较高的脂肪含量(营养品质),而稻米的食味品质(黏度、外观及食味值)则更多地取决于水稻品种。冗余分析结果显示,土壤全量养分、速效养分及微生物生物量解释了59%的水稻食味及营养品质差异。结构方程模型显示,土壤中22种元素含量与水稻中的相应元素含量显著正相关。灌溉水元素含量较少,对稻米食味及营养品质影响也较小。【结论】“贡田”通过长期施用有机肥显著提高了土壤有机质和氮、磷、钾含量,维持了较好的土壤生物性状,因此,在同样施肥量下,可显著提高水稻的产量和营养品质。相比于土壤肥力,稻米品种特性决定着稻米的食味品质及其对土壤肥力的响应。依据当下的施肥量和施肥方法 (含秸秆还田),稻米中较高的脂肪含量和较低的蛋白含量均有助于稻米食味值的增加。因此,维持高的土壤肥力和适当的施肥水平,是获得优质稻米和较高产量的关键。 展开更多
关键词 水稻 “贡田” 土壤肥力 微量元素 食味品质 营养品质
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Relative Contributions of Spatial and Environmental Processes and Biotic Interactions in a Soil Collembolan Community 被引量:1
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作者 SHA Di GAO Meixiang +2 位作者 SUN Xin WU Donghui ZHANG Xueping 《Chinese Geographical Science》 SCIE CSCD 2015年第5期582-590,共9页
Understanding the underlying processes of how communities are structured remains a central question in community ecology. However, the mechanisms of the soil animal community are still unclear, especially for communit... Understanding the underlying processes of how communities are structured remains a central question in community ecology. However, the mechanisms of the soil animal community are still unclear, especially for communities on a small scale. To evaluate the relative roles of biotic interactions and environmental and spatial processes in a soil collembolan community, a field experiment was carried out on a small scale(50 m) in the farmland ecosystem of the Sanjiang Plain, Northeast China. In August and October, 2011, we took 100 samples each month in a 50 m × 50 m plot using a spatially delimited sampling design. Variation partitioning was used to quantify the relative contributions of the spatial and environmental variables. A null model was selected to test for the non-randomness pattern of species co-occurrence and body size in assemblages of collembolans and to test whether the pattern observed was the result of environmental or biotic processes that structured the community on a small scale. The results showed that large variance was accounted for by spatial variables(18.99% in August and 21.83% in October, both were significant). There were relatively lower effects of environmental variation(3.56% in August and 1.45% in October, neither was significant), while the soil water content, soil p H and soybean height explained a significant portion of the variance that was observed in the spatial pattern of the collembolan community. Furthermore, the null model revealed more co-occurrence than expected by chance, suggesting that collembolan communities had a non-random co-occurrence pattern in both August and October. Additionally, environmental niche overlap and the body size ratio of co-occurrence showed that interspecific competition was not influential in collembolan community structuring. Considering all of the results together, the contributions of spatial and environmental processes were stronger than biotic interactions in the small-scale structuring of a soil collembolan community. 展开更多
关键词 spatial process environmental filtering biotic interactions variation partitioning small scale collembolan community
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