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茅台酒酿酒高梁的地质环境研究 总被引：2，自引：0，他引：2
茅台酒对酿酒高梁有严格要求，适于茅台酒传统酿造工艺的高梁只产于仁怀县的某些地区，主要是受地质环境的控制。仁怀高梁对某些常量和微量元素有着鲜明的选择性，对磷和钼表现出强烈的吸收作用。岩－土剖面元素的迁聚，对磷和铝的供应是确定仁怀高梁品质和产量的关键。侏罗系砂泥岩、二叠系煤系地层的岩－土剖面，元素淋溶微弱，总量丰富，有效态含量高，组合良好，能正常进行岩－土－高梁系统的物质转化与元素迁移，能充分供应高梁生长所需的磷和钼等元素，是茅台酒酿酒高梁的最宜种植区。 相似文献
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Cecilia Scurrah-Ehrhart 《Singapore journal of tropical geography》2007,28(1):71-89
Drawing on a case study from eastern Uganda, this paper describes how social and environmental factors combine to affect the sustainability of both sorghum landraces and the farmers who depend on it for food and income security. It delineates how changing regional patterns of agricultural production and consumption, institutional neglect, economic hardship, natural resource degradation and a labour supply crisis precipitated by the HIV/AIDS pandemic, may be conspiring to place sorghum landraces at risk of extinction and, thus, undermine already precarious livelihoods. The paper therefore challenges the common assumption that marginalized rural women – by virtue of having diverse varieties and species under their care – can be expected to conserve that diversity. 相似文献
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基于无人机遥感的滨海盐碱地土壤空间异质性分析与作物光谱指数响应胁迫诊断 总被引：1，自引：0，他引：1
在已集中连片改造为农田的盐碱地上,开展无人机遥感作物土壤空间异质性分析与光谱指数响应胁迫诊断对于提升盐碱地利用效率、创造更多经济效益与生态价值具有重要意义。本研究以山东省东营市黄河三角洲典型滨海盐碱地集中连片旱作农田的主要作物——高粱和玉米为研究对象,利用固定翼无人机获取400 hm2滨海盐碱地多光谱遥感数据,并结合地面195个采样点的3个土层（0~10 cm、10~20 cm、20~40 cm）的土壤属性数据,对该研究区域内作物生长的土壤环境因子进行空间异质性分析与光谱指数响应胁迫诊断。基于土壤属性数据,利用反距离加权插值法,绘制该研究区域内土壤盐分、pH、有机质、全氮和速效氮共5个指标含量的水平与垂直空间分布图。插值结果显示,5种土壤属性指标存在显著水平和垂直空间异质性。基于随机森林模型,采用递归特征消除法,结合土壤指标对光谱指数的重要性值,探讨影响作物生长的主要土壤环境胁迫因子。结果表明,5种土壤属性因子均会对玉米和高粱生长造成影响,但主要胁迫因子分别为土壤速效氮含量（10~20 cm）和3个土层的盐分含量。本研究为大面积农情胁迫监测提供了一项有效的地面与航空协同监测方案,为盐碱地旱作农田管理与决策提供了理论依据和技术支持。 相似文献
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为确定甜高粱适宜播期及含糖量关键气象影响因子,以新疆玛纳斯地区甜高粱主栽品种为试验材料,对不同播期下甜高粱含糖量的变化及其与气象因子的关系进行了比较分析。结果表明,随生育期延迟,甜高粱茎秆总糖含量、蔗糖含量逐渐升高,成熟期最高;还原糖含量开花期达到最大值,灌浆期后逐渐下降,至成熟期最低。不同播期之间甜高粱茎秆含糖量存在显著差异(P<0.05),"新高粱3号"适宜早播,以4月25日播种较为适宜;T601适宜迟播,以5月8日播种较为适宜。相关分析结果表明,不同播期下不同品种甜高粱茎秆糖分含量与平均温度、降水、日照时数和风速存在显著相关(P<0.05),可根据气温、降水和日照时数进行甜高粱含糖量预测。 相似文献
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茅台酒用高粱产量品质与气象因子研究 总被引：3，自引：0，他引：3
为研究仁怀市茅台酒用高粱栽培基地气象要素对高粱产量和品质影响的关键因子和关键时期.采用空间曲面插值方法,对仁怀及周边气象站气象数据进行空间插值,得到100m×100m的高分辨要素空间分布栅格数据.然后应用种植在海拔370～1301m的127个地段高粱数据与气象资料进行分析.结果表明,温度、日照对产量影响主要在齐穗期后10d～40d;降水影响产量的关键时段在齐穗前50d到齐穗后40d.气象因子对产量的影响都十分显著(＞99％置信度).降水、日照与单宁含量呈现较显著反相关(＞95％置信度),并且都出现在齐穗前20d ～50d左右.但气象因子与蛋白质含量无显著相关. 相似文献
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Muhammad Imran Alfred Stein Raul Zurita-Milla 《International journal of geographical information science》2013,27(2):234-257
Geographical information systems support the application of statistical techniques to map spatially referenced crop data. To do this in the optimal way, errors and uncertainties have to be minimized that are often associated with operations on the data. This paper applies a spatial statistical approach to upscale crop yields from the field level toward the scale of Burkina Faso. Observed yields were related to the Normalized Difference Vegetation Index derived from SPOT-VEGETATION. The objective was to quantify the uncertainties at the subsequent steps. First, we applied a point pattern analysis to examine uncertainties due to the sampling network of field surveys in the country. Second, geographically weighted regression kriging (GWRK) was applied to upscale the yield observations and to quantify the corresponding uncertainty. The proposed method was demonstrated with the mapping of sorghum yields in Burkina Faso and results were compared with those from regression kriging (RK) and kriging with external drift using a local kriging neighborhood (KEDLN). The proposed method was validated with independent yield observations obtained from field surveys. We observed that the lower uncertainty range value increased by 39%, and the upper uncertainty range value decreased by 51%, when comparing GWRK with RK and KEDLN. Moreover, GWRK reduced the prediction error variance as compared to RK (20 vs. 31) and to KEDLN (20 vs. 39). We found that climate and topography had a major impact on the country’s sorghum yields. Further, the financial ability of farmers influenced the crop management and, thus, the sorghum crop yields. We concluded that GWRK effectively utilized information present in the covariate datasets and improved the accuracies of both the regional-scale mapping of sorghum yields and was able to quantify the associated uncertainty. 相似文献
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