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101.
为了实现快速高精度获取冬小麦氮营养指数的高光谱监测技术,利用美国SVC HR-1024I型野外光谱辐射仪对2017-2019年关中地区的冬小麦进行遥感监测,获取“三边”参数、任意两波段光谱指数和植被指数,通过相关性分析和逐步回归分析方法筛选冬小麦氮营养指数的敏感光谱参数,结合偏最小二乘回归(PLSR)、随机森林算法(RFR)、支持向量机回归(SVR)和梯度增强回归(GBDT)建立冬小麦氮营养指数模型,并对模型估算精度进行验证。结果表明,从拔节期到灌浆期,各时期的氮营养指数与任意两波段光谱指数均呈极显著相关,其中拔节期氮营养指数与任意两波段光谱指数相关性均高于其他时期,且基于一阶导数光谱的归一化光谱指数和比值光谱指数与氮营养指数的相关系数最大,为0.66。拔节期基于梯度增强回归的冬小麦氮营养指数预测模型的决定系数(r2)和均方根误差(RMSE)分别为0.96和0.05,模型验证的r2、RMSE和相对预测偏差(RPD)分别为0.95、0.12和2.12,模型预测精度最高。因此,拔节期基于梯度增强回归的冬小麦氮营养指数估算模型可用于冬小麦氮营养监测... 相似文献
102.
103.
With a 2 millions of tons production, France is the second country in the European Union to produce durum wheat. Durum wheat production requires high grain nitrogen concentration. Irrigation and nitrogen fertilization must be managed simultaneously to maximize grain yield and also avoid low protein concentration and environmental impacts. To help advisors and farmers to better manage together these two agricultural operations and to develop innovative managements, developing a biodecisional model is an interesting possibility. However, knowledge is still missing on how farmers already managed these operations and how these two operations are linked. We developed the conceptual model for the decision part of this computer model. We performed a survey of 28 farmers conducted over the five French production areas investigating a diversity of growing conditions to identify the set of possible constraints and farmers' decision rules. To analyze the survey, we first used a general inductive approach on individual cases and then built a conceptual model of the decision with a bottom-up approach. We identified four decision sequences for fertilization (N splitting, choice of N fertilizer, rate of application, fertilization triggering) and five for irrigation (irrigation period, anticipated number of irrigation cycles, irrigation cycles organization, irrigation triggering and irrigation cycle specificities). For each operation, the first three decision sequences refer to strategic decisions. The other decision sequences refer to tactical decisions. Coupling this model with a crop model could provide guidelines for managing durum wheat in the current climatic and economic changing context. 相似文献
104.
以3个树种健康复叶为试材,研究了叶内光合构件和支撑构件的生物量投资的种内种间变化规律。结果表明:水曲柳、胡桃楸和黄檗叶轴质量占复叶质量的比例分别为0.18、0.26和0.17,胡桃楸显著大于其它2个树种。跨物种尺度上,复叶大的树种需要更多的叶内支撑结构投资。但物种水平上,水曲柳叶片投资随叶增大而增大,胡桃楸则降低,黄檗基本稳定,表现出与跨物种水平上的叶片投资随叶增大而降低的普遍规律不同。今后需要加深物种水平上叶内生物量分配的异速生长的了解。 相似文献
105.
Excessive application of N fertilizer in pursuit of higher yields is common due to poor soil fertility and low crop productivity. However, this practice causes serious soil depletion and N loss in the traditional wheat cropping system in the Loess Plateau of China. Growing summer legumes as the green manure (GM) crop is a viable solution because of its unique ability to fix atmospheric N2. Actually, little is known about the contribution of GM N to grain and N utilization in the subsequent crop. Therefore, we conducted a four-year field experiment with four winter wheat-based rotations (summer fallow-wheat, Huai bean–wheat, soybean–wheat, and mung bean–wheat) and four nitrogen fertilizer rates applied to wheat (0, 108, 135, and 162 kg N/ha) to investigate the fate of GM nitrogen via decomposition, utilization by wheat, and contribution to grain production and nitrogen economy through GM legumes. Here we showed that GM legumes accumulated 53–76 kg N/ha per year. After decomposing for approximately one year, more than 32 kg N/ha was released from GM legumes. The amount of nitrogen released via GM decomposition that was subsequently utilized by wheat was 7–27 kg N/ha. Incorporation of GM legumes effectively replaced 13–48% (average 31%) of the applied mineral nitrogen fertilizer. Additionally, the GM approach during the fallow period reduced the risk of nitrate-N leaching to depths of 0–100 cm and 100–200 cm by 4.8 and 19.6 kg N/ha, respectively. The soil nitrogen pool was effectively improved by incorporation of GM legumes at the times of wheat sowing. Cultivation of leguminous GM during summer is a better option than bare fallow to maintain the soil nitrogen pool, and decrease the rates required for N fertilization not only in the Loess Plateau of China but also in other similar dryland regions worldwide. 相似文献
106.
Trees are the dominant species in agroforestry systems, profoundly affecting the performance of understory crops. Proximity to trees is a key factor in crop performance, but rather little information is available on the spatial distribution of yield and yield components of crop species under the influence of trees in agroforestry systems. Also, little information is available on how crop density may be exploited to optimize the yield in such systems. Here we studied the performance of cotton in jujube/cotton agroforestry. Field experiments were conducted in 2012 and 2013 in Hetian, Xinjiang, China. Cotton was grown at a row distance of 60 cm in three densities, 13.5, 18.0 and 22.5 plants m−2 in six m wide paths between tree lines in a jujube plantation. Plant density affected both cotton aboveground dry matter and yield significantly. The highest yield was attained at the intermediate density of 18.0 plants m−2 (20.0 plants m−2 corresponding in sole cotton), lower than the optimal density in sole cotton (25.0 plants m−2). Yield at the lower density was constrained by the low number of bolls per m2 as a direct consequence of the low density, whereas at the high plant density yield was constrained by a lower allocation of assimilates to cotton seed and lint, as a consequence of intraspecific and interspecific competitions. There were strong gradients in yield and yield components in relation to the distance from the tree rows. Leaf area and total dry matter of cotton in rows close to the tree lines were reduced, especially in the rows next to the trees. Moreover, biomass allocation to cotton fruits was reduced in these rows. Competitive influences from the trees on cotton performance extended two rows deep in a six-year old jujube stand, and even three rows deep in a seven-year old stand. Shading effects on cotton yield were compensated by increasing plant density as a result of greater boll numbers per unit ground area. Data from this study help guide the design of optimal plant density of cotton in jujube plantations and give insight in the spatial distribution and dynamics of competitive effects in agroforestry systems in general. 相似文献
107.
基于叶气温差的生育中期冬小麦水分亏缺诊断研究 总被引:1,自引:1,他引:0
为了获取叶片尺度基于叶气温差的冬小麦生育中期水分亏缺诊断阈值,分析了冬小麦叶气温差的典型日变化及其与土壤水分、空气温度及太阳辐射等因子的相互关系,揭示了冬小麦叶气温差对光合气体交换参数的影响,确定了冬小麦叶片水分利用效率较适宜的非气孔限制值及叶气温差范围。结果表明,冬小麦叶气温差在不同的土壤水分条件下表现出不同的日变化规律,随光量子通量增加而升高,随土壤水分、气温增加而降低;4、5和6月冬小麦叶片水分利用效率较适宜的非气孔限制值范围分别为0.7~1.3、1.1~2.0和0.9~1.5,叶气温差控制范围分别为-1.2~0.4、-1.5~-1和-1.25~-0.9℃。 相似文献
108.
光谱判断田间鲜烟叶成熟度的影响因子研究 总被引:2,自引:0,他引:2
利用便携式地物波谱仪Field Spec 3测量烤烟成熟期烟叶的反射光谱,针对采收成熟度M2、M3,分析比较同一时间不同测量位点、及同一位点不同测量时间的反射光谱差异。结果表明:反射光谱的差异在不同测量位点主要体现在350~780 nm可见光波段和780~1300 nm近红外波段,在不同测量时间主要体现在780~1300 nm近红外波段。因此,利用光谱仪判断鲜烟叶成熟度,受测量位点的影响较大,而受测量时间的影响较小,但若测量烟叶生理生化组分、厚度和水分等内在指标,时间及天气状况是必须考虑的重要因素。 相似文献
109.
110.
减少底肥施用量增加叶面施肥次数对玉米产量的影响 总被引:1,自引:0,他引:1
该试验目的是研究降低底肥施用量但是增加叶面肥施用次数方面对玉米产量的变化规律,旨在找出最经济的施肥方式以达到在保护环境的基础上提高经济效益的目的。试验表明,玉米产量随着底肥施用量的增加而提高,并且叶面肥喷施次数越多产量越高,每喷一次,可增加产量258~592.5 kg/hm2,增产幅度2.3%~5.6%。 相似文献