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Agricultural is a major contributor to environmental resource management problems. Modelling the distribution of agricultural land use to evaluate current situations or scenarios is an important issue for policy-makers and natural resource managers. A promising approach is the use of bio-decisional models based on decision rules. However, at the regional scale, the large number of farmers makes it difficult to identify decision rules, and the diversity of farmers' decisions is rarely considered. To this end, we developed SIMITKO, a spatialised and stochastic bio-decisional model, able to simulate the spatial and temporal variability in farming practices. We focused on the choice of varietal earliness and sowing practices of maize (Zea mays L.) in the Baïse sector (south-western France). Model development was based on statistical analyses of surveys of farmers’ practices to identify their current strategies, the best variables to describe the practices and the probabilities associated with the values of the variables for each strategy. We tested SIMITKO by simulating the dynamics of areas sown with maize. Comparing model predictions of practices to observed data showed generally good predictions of sowing dynamics but less satisfactory predictions of varietal earliness choices. Possible improvements are suggested. 相似文献
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Three years of field experiments were carried out to explore the response of potato dry matter production, accumulated intercepted photosynthetic active radiation (Aipar) and radiation use efficiency (RUE) to five N levels providing 0, 60, 100, 140 and 180 kg N ha−1 and three drip irrigation strategies, which were full, deficit and none irrigation. Results showed that, irrespective of years, dry matter production and Aipar were increased by prolonged N fertigation, even though N fertigation was carried out from middle to late growing season. The highest total and tuber dry matter and accumulated radiation interception in all three years were obtained when potatoes were provided with 180 kg N ha−1. RUE on the other hand was not affected by N regime. Thus, increases in total dry matter production with increasing N levels were essentially caused by higher Aipar. The strongest response to N fertilization occurred when most N was applied early in the growing season and the latest N fertilization should be applied no later than 41–50 days after emergence. Deficit irrigation, which received ca.70% of irrigation applied to full irrigation, did not reduce radiation interception and radiation use efficiency. 相似文献
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王芹 《河北农业大学学报(农林教育版)》2011,13(3):386-388
通过读者问卷调查的方法,对河北农业大学图书馆电子资源利用情况进行了调查、分析,并根据调查结果提出了问题的解决方案及合理化发展建议。 相似文献
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农业保险是为了减少农业生产的风险、降低自然灾害给农业造成的损失而出现的一项保险制度,需要财政税收政策的支持来为其保驾护航。河北省目前已经针对农业保险采取了一系列措施以促进其发展,但是与西方发达国家相比,还存在一定差距。分析了河北省农业保险的财税政策支持,并针对该省农业保险存在的问题提出对策及建议。 相似文献
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西北旱区喷灌条件下紫花苜蓿生长特征与品质指标的关系 总被引:1,自引:0,他引:1
西北旱区由于独特的气候条件,生产的苜蓿干草品质好,产量高。如何根据苜蓿的田间指标估测干草品质参数,对于苜蓿草产品生产销售具有重要意义。研究在喷灌条件下不同灌溉量对紫花苜蓿的生长品质的影响,并利用生长指标对紫花苜蓿的品质进行预测。试验于2014至2015年于中国农业大学石羊河流域生态节水试验站进行为期2年的田间试验。试验共设3个灌溉处理:A1灌溉量为100%紫花苜蓿蒸腾蒸散量(ETc),A2,A3的灌溉量分别为A1处理的66%,33%,以及一个不灌溉处理A4。结果表明,苜蓿生长指标如株高(H)和茎叶比(SLR)随生育期的推进呈上升趋势,而鲜干比(FDR)呈下降趋势;所有生长指标随着灌溉量的减少均呈下降趋势。在品质方面,随着生育期的推进,所有处理的粗蛋白(CP)呈下降趋势,而中性洗涤纤维(NDF)和酸性洗涤纤维(ADF)则呈现上升趋势;随着灌溉量的降低,NDF与ADF呈下降趋势,而CP则呈上升趋势。各生长指标与品质指标的拟合结果表明,H和SLR均与各品质指标显著线性相关(P<0.001),且H与品质拟合结果相关系数最高(R2>0.900),而FDR则与各品质指标不显著。这些结果表明,在田间管理较好,长势良好,杂草与病虫害发生较少的情况下,可以用株高对苜蓿干草品质做出预测。 相似文献
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节水农业是水资源高效利用和农业可持续发展的重大问题,对于节约水资源具有极其重要的意义。为了解当前绿色农业高效节水领域的最新研究热点和发展趋势,本文梳理总结了我国现代化节水农业领域的基础背景、研究现状以及发展态势。结果表明,“灌溉设备与技术开发”、“农业用水精量调配与控制”、“作物高效用水机理”及“农业用水对环境变化的响应”等是近年来的研究热点,并建议开展水肥一体化智能技术与管理及其对作物、土壤、环境、社会等综合效应等的相关研究,以期为我国农业绿色高质量发展提供帮助。 相似文献
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The priority of management factors for reducing the yield gap of summer maize in the north of Huang-Huai-Hai region,China
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Yue-e LIU Yu-xin LI Tian-fang LÜ Jin-feng XING Tian-jun XU Wan-tao CAI Yong ZHANG Jiu-ran ZHAO Rong-huan WANG 《农业科学学报》2021,20(2):450-459
Understanding yield potential, yield gap and the priority of management factors for reducing the yield gap in current intensive maize production is essential for meeting future food demand with the limited resources. In this study, we conducted field experiments using different planting modes, which were basic productivity(CK), farmer practice(FP), high yield and high efficiency(HH), and super high yield(SH), to estimate the yield gap. Different factorial experiments(fertilizer, planting density, hybrids, and irrigation) were also conducted to evaluate the priority of individual management factors for reducing the yield gap between the different planting modes. We found significant differences between the maize yields of different planting modes. The treatments of CK, FP, HH, and SH achieved 54.26, 58.76, 65.77, and 71.99% of the yield potential, respectively. The yield gaps between three pairs: CK and FP, FP and HH, and HH and SH, were 0.76, 1.23 and 0.85 t ha~(–1), respectively. By further analyzing the priority of management factors for reducing the yield gap between FP and HH, as well as HH and SH, we found that the priorities of the management factors(contribution rates) were plant density(13.29%)fertilizer(11.95%)hybrids(8.19%)irrigation(4%) for FP to HH, and hybrids(8.94%)plant density(4.84%)fertilizer(1.91%) for HH to SH. Therefore, increasing the planting density of FP was the key factor for decreasing the yield gap between FP and HH, while choosing hybrids with density and lodging tolerance was the key factor for decreasing the yield gap between HH and SH. 相似文献