樟子松人工林冠下植物种类动态变化因子分析

本文对林分下层植物种类组成和林分内光照与林冠叶量的变化进行了研究 ,结果表明 :樟子松人工林林下生态类型划分为A、B、C三个类型 ,其营养条件排序A 相似文献   

棉花冠层对不同灌水量的反应及其产量形成研究

通过探讨新疆北部棉区推广棉种新陆早6号与新陆早8号,在不同灌水量条件下冠层结构特征的差异性,得出新陆早6号对限量滴灌反应不敏感,而新陆早8号对限量滴灌反应较敏感。因此,在限量滴灌条件下,选择新陆早6号种植较适宜。叶面积指数低,叶片平均倾斜角度大,群体散射辐射透过系数和群体直射辐射透过系数增加,光能的截获率降低,由此得出,不同品种对灌水量的反应表现及理想群体冠层结构的合理指标,为增加棉花产量和提高水分利用效率提供了理论依据。     

苜蓿冠层温度与农艺性状的相关分析

对从国内外引进的31个苜蓿品种分枝期—结英期的冠层温度及其农艺性状指标进行了相关分析和偏相关分析。结果表明，苜蓿冠层温度与分枝期和现蕾期的茎叶比、开花期的叶面积和产量间存在显著的偏相关关系，可作为产量高低的间接或直接指标；由于农艺性状指标间互相关的影响，冠层温度与农艺性状指标间的单相关系数可靠性差，且与偏相关系数有明显的差异；排除农艺性状指标间互相关影响后，偏相关系数可靠性大，可作为变量间关系密切程度的量化指标。     

Challenges and opportunities of unmanned aerial vehicles as a new tool for crop pest control

The application of pesticides is not simply delivering chemicals to the target area. It also involves considering the negative aspects and developing strategies to deal with them during the application process, to ensure the maximization of pesticides use efficiency and the maintenance of the ecosystem. Unmanned aerial vehicle (UAV) sprayers demonstrate unique advantages compared to traditional ground sprayers, particularly in terms of maneuverability and labor intensity reduction, showed great potential for chemical application in pest control. It is undeniable that there exist challenges in the practice of UAV spraying, such as higher potential risks of pesticide drift or pathogen transmission, uncertainty canopy deposition for different crops, and unexpected leaf breakage induced by downwash flow. Maximizing the utilization of downwash flow while avoiding lateral air movement outside the intended target crop area is a major issue for chemical application with UAV sprayers, particularly in light of the increasingly apparent consensus on the need for enhanced environmental protection during the chemical application process. It must be considered that the operation strategy in different scenarios and for different crop targets is not the same, unique requirements should be given on nozzle atomization, flight parameters, adjuvants and aircraft types in specific working situations. In future, the implementation of spray drift prediction, technical procedures development, and other solutions aimed at reducing pesticide drift and improving deposition quality, is expected to promote the adoption of UAV sprayers by more farmers. © 2023 Society of Chemical Industry.     

Spectral indices measured with proximal sensing using canopy reflectance sensor, chlorophyll meter and leaf color chart for in-season grain yield prediction of basmati rice

A number of optical sensing tools are now available and can potentially be used for refining need-based fertilizer nitrogen (N) topdressing decisions.Algorithms for estimating field-specific fertilizer N needs are based on predictions of yield made while the crops are still growing in the field.The present study was conducted to establish and validate yield prediction models using spectral indices measured with proximal sensing using GreenSeeker canopy reflectance sensor,soil and plant analyzer ...     

基于无人机影像的冠层光谱和结构特征监测甜菜长势

甜菜是中国北方地区重要的经济作物。快速、准确、高通量的获取甜菜的地上部和块根鲜质量、块根含糖率、叶绿素含量对甜菜生产具有重要意义。该研究采用无人机搭载数码和多光谱相机,获取甜菜叶丛快速生长期、块根及糖分增长期和糖分积累期的数码影像和多光谱影像,提取了冠层的结构特征和光谱特征。选择随机森林回归（Random Forest Regression,RFR）和偏最小二乘回归（Partial Least Squares Regression,PLSR）2种建模方法基于获取的冠层特征,构建甜菜全生育期的地上部和块根鲜质量、块根含糖率和SPAD（Soil and Plant Analyzer Development）值估算模型。研究结果表明,随机森林回归模型和偏最小二乘回归模型对地上部和块根鲜质量、含糖率都做出较好的预测,R2范围分别为0.9～0.94、0.88～0.9,rRMSE范围分别为7.6%～17%、8.8%～20%。对SPAD值的预测均较弱,R2分别为0.66和0.67。为了减小输入变量集的大小以及去掉对预测不敏感的变量,该研究采用置换重要性（Permutation Importance,PIMP）来筛选冠层光谱特征和结构特征中对预测有重要影响的变量。结果表明基于筛选出的重要性特征构建的随机森林回归模型和偏最小二乘回归模型对地上部和块根鲜质量、含糖率都做出较好的预测,R2范围分别为0.89～0.94、0.74～0.91,rRMSE范围分别为7.3%～19%、7.6%～19%。对SPAD值的预测均较弱,R2分别为0.65和0.68。进一步表明随机森林回归模型在精度上略好于偏最小二乘回归模型。同时基于PIMP筛选变量的方法在保持原有精度的同时能实现降低数据收集复杂性的目的。研究结果为基于无人机遥感技术快速、准确监测甜菜长势和估测块根类作物的根部活性物质提供了参考。     

黄土高原南部人工林林冠对降雨特征的影响分析

林冠降雨特征是森林水文作用的重要机制,同时也是植被在水土保持作用中的重要内容。以黄土高原南部常见乔木刺槐、元宝枫、桉树为研究对象,以滤纸色斑法为基本实验原理,观测了该地区天然降雨15场,分别取得3种乔木冠下雨滴谱200份。通过对比分析林冠内外降雨特征,得到以下结论:林冠降雨特征与林外降雨特征有显著区别;林下雨滴分布呈现近似的正态分布,大雨滴数量较林外明显增多;林冠下雨滴中数直径（D₅₀）受降雨强度的影响很小,且在降雨强度小于0.1 mm/min时,林冠下D₅₀大于林冠外,当雨强大于0.1 mm/min,林外D₅₀有大于林内的趋势;降雨动能与雨滴中数直径有着相似的变化趋势。     

Considering sink strength to model crop production under elevated atmospheric CO2

Climatic changes and elevated atmospheric CO₂ concentrations will affect crop growth and production in the near future. Rising CO₂ concentration is a novel environmental aspect that should be considered when projections for future agricultural productivity are made. In addition to a reducing effect on stomatal conductance and crop transpiration, elevated CO₂ concentration can stimulate crop production. The magnitude of this stimulatory effect (‘CO₂ fertilization’) is subject of discussion. In this study, different calculation procedures of the generic crop model AquaCrop based on a foregoing theoretical framework and a meta-analysis of field responses, respectively, were evaluated against experimental data of free air CO₂ enrichment (FACE) environments. A flexible response of the water productivity parameter of the model to CO₂ concentration was introduced as the best option to consider crop sink strength and responsiveness to CO₂. By varying the response factor, differences in crop sink capacity and trends in breeding and management, which alter crop responsiveness, can be addressed. Projections of maize (Zea mays L.) and potato (Solanum tuberosum L.) production reflecting the differences in responsiveness were simulated for future time horizons when elevated CO₂ concentrations and climatic changes are expected. Variation in future yield potential associated with sink strength could be as high as 27% of the total production. Thus, taking into account crop sink strength and variation in responsiveness is equally relevant to considering climatic changes and elevated CO₂ concentration when assessing future crop production. Indicative values representing the crop responsiveness to elevated CO₂ concentration were proposed for all crops currently available in the database of AquaCrop as a first step in reducing part of the uncertainty involved in modeling future agricultural production.     

不同温度型小麦K+吸收动力学特征及其盐胁迫效应

本试验采用吸收动力学方法结合药理学方法,研究了NR9405（暖型）、小偃六号（中间型）、RB6和陕229（冷型）等4种不同温度型小麦幼苗（14 d）K+ 的高亲和和低亲和吸收特征。结果表明: 1）在0～50mmol/L的K+浓度范围内,K+吸收可分为0～1和1～50mmol/L两个阶段,均可用米氏方程描述;2）对于高亲和吸收系统（0～1 mmol/L）,冷型小麦具有高的饱和吸收率Imax [42.46～43.12 mol/（h?g）,RDW]和亲合系数Km（0.430～0.432 mmol/L）,暖型小麦（NR9405）和小偃六号具有较低的Imax［33.57～35.38 mol/（h?g）,RDW］和Km（0.332～0.353 mmol/L）,抑制低亲和系统后增加了4种小麦的高亲和转运载体数量,降低了冷型小麦对K+的亲和力,但对NR9405和小偃六号的Km值影响较小; 3）抑制高亲和吸收后,低亲和系统的Imax和Km均增加; 4）在盐胁迫下,K+高亲和和低亲和吸收系统均受到抑制,小麦幼苗K+吸收能力均显著降低,暖型小麦NR9405和小偃六号的高亲和系统Km几乎不受盐胁迫的影响,而冷型小麦的Km值因盐胁迫而降低。因此,在盐胁迫下高亲和吸收系统的稳定性可能是影响暖型小麦耐盐性高的一个重要因素,这对小麦耐盐性研究及耐盐品种选育均具有一定的指导意义。