基于SPAD-502与GreenSeeker的冬小麦氮营养诊断研究

用GreenSeeker和SPAD-502测定了不同氮素处理的冬小麦冠层NDVI与叶片SPAD值, 分析了它们与叶片全氮、叶绿素含量及产量间的关系。结果表明: 冬小麦抽穗期SPAD值和NDVI值均与叶绿素含量呈极显著正相关; 除抽穗期和返青期外, SPAD值与叶氮含量、叶绿素含量的相关系数在其余各生育期均达到显著或极显著水平; NDVI值与叶氮含量、叶绿素含量在拔节期、乳熟期的相关性同SPAD值一致; SPAD值可以进行叶绿素的诊断, NDVI值可以进行氮的诊断。氮营养诊断时期应该选择拔节期。通过回归建立了基于SPAD值、NDVI值的产量估测模型, 可以通过SPAD值、NDVI值对冬小麦产量进行估算。     

甜瓜主茎叶不同叶位SPAD值空间分布与氮素营养诊断

在设施栽培条件下,研究甜瓜关键生育期不同叶位SPAD值的变异特征及与叶片、植株氮素含量的相关性,探索提出基于SPAD仪诊断氮素营养最佳的测定叶位。结果表明,在各施氮水平下,不同叶位间叶片SPAD值存在一定差异,各叶位叶片SPAD值随施氮量的增加而增加。在适宜施氮(N 210 kg/hm~2)水平下,各生育期顶3叶和顶4叶SPAD值变异系数显著低于顶1叶和顶2叶,不同叶位叶片SPAD值与叶片、植株含氮量有较好的相关性,其中顶3叶与叶片、植株含氮量相关性最高。因此,用叶绿素SPAD仪诊断甜瓜氮素营养,顶3叶为较理想的指示叶或参照叶。     

考虑植株氮垂直分布的夏玉米营养诊断敏感位点筛选

探明夏玉米氮素营养生化指标(叶绿素a、叶绿素b、类胡萝卜素、叶片氮含量和叶片氮积累量)与叶片SPAD值垂直分布特征及两者间定量回归关系,确立基于叶绿素仪的夏玉米氮营养无损诊断敏感叶位和叶片部位,以实现氮营养时空变化的快捷和精准监测。利用2018-2019年连续2季不同氮营养水平下夏玉米关键生育期主茎各叶位(顶1叶~顶12叶,TL1~TL12)和叶片部位(每张叶片从叶片基部开始根据叶片长度每20%分为1个测试区间) SPAD值及氮营养指标数据,研究基于偏最小二乘(partial least square, PLS)回归模型的夏玉米不同位点SPAD值与氮营养指标间关系,确定可稳定指示夏玉米氮营养空间异质性变化的敏感叶位及叶片部位。结果表明,不同叶位间夏玉米叶片SPAD值和氮营养指标于植株间分布均呈典型的"钟型"特征,至TL5或TL6时达至峰值。同一叶位不同部位间SPAD值由20%至100%位点时则逐步升高,且80%~100%位点间无显著差异(P>0.05)。PLS分析结果显示,夏玉米不同叶位SPAD值与氮营养指标间模型精度决定系数(coefficient of determination, R2)和相对分析误差(relative percent deviation,RPD)范围分别为0.693~0.821和1.425~2.744。不同测试位点R2和RPD值范围则分别为0.660~0.847和1.607~2.451,满足模型精确诊断需求。此后,基于PLS模型中各叶位和叶片部位无量纲评价指标变量重要性投影值(variable importance for projection,VIP),确定顶4叶(TL4)完展叶60%~80%区间为夏玉米氮营养诊断的敏感区域,VIP值均高于临界值1.40,预测效果较为理想。研究可为实现氮营养的高效、快捷诊断和精准施氮提供参考。     

应用叶绿素计诊断烤烟氮素营养状况

为探讨叶绿素计在估测烤烟叶绿素和氮浓度上的应用价值,进行了3个田间试验。即:郑州点2003年设施N.51.0.kg/hm2与4个品种NC89、RG17、85048、541;2004年设5个氮肥用量:N.30.04、0.5、51.0、61.5、75.0.kg/hm2与2个品种中烟101、云烟85;玉溪点于2005年设5个氮肥用量:N.02、7.0、54.5、81.8、109.0.kg/hm2与K326品种的试验。测定了不同试验条件下烤烟叶片的叶绿素计(SPAD-502和CCM-200)值和实际叶绿素浓度、全氮浓度,并进行了三者关系分析。结果表明,应用叶绿素计监测烤烟叶片最佳测定部位为完全展开叶的中部。叶绿素计测定值因年份、地点、氮肥水平、叶位、同一叶片不同的部位而异。叶绿素计值与叶绿素浓度、叶片全氮浓度之间有稳定的极显著相关性。叶绿素计SPAD-502的SPAD值和CCM-200的CCI值与叶绿素浓度之间的决定系数分别为0.8755(P0.001)和0.9499(P0.001)。SPAD计值(SPAD)与全氮浓度(N)之间回归方程为N=0.0265SPAD+0.9601(R2=0.7649,P0.001),经检验该模型具有较好的精确性和普适性,利用叶绿素计进行烤烟氮素营养监测是可行的。     

不同氮磷钾肥用量对五指毛桃叶绿素含量的影响

为探讨在"3414"肥料试验中叶绿素仪测定叶绿素的精确度,以及不同施肥处理对五指毛桃叶片SPAD值与叶绿素含量的影响,采用SPAD叶绿素仪和酒精-丙酮浸提法对五指毛桃不同叶片的SPAD值、叶绿素a、叶绿素b和总叶绿素含量进行测定。结果表明,不同施肥处理对五指毛桃3片叶片的SPAD值,倒1叶的叶绿素a、叶绿素b和总叶绿素含量,倒2叶的叶绿素a以及倒3叶的叶绿素b、总叶绿素含量的影响不显著;对倒2叶的叶绿素b、总叶绿素含量,倒3叶的叶绿素a影响显著。氮、磷、钾肥对五指毛桃叶片SPAD值和叶绿素含量效应依次为N肥P肥K肥。SPAD值、叶绿素a、叶绿素b及总叶绿素含量从倒1叶至倒3叶呈现逐渐增加的趋势,但增加的幅度因施肥处理不同而不同。倒1叶的SPAD值与叶绿素a、叶绿素b及叶绿素总量呈负相关;倒2叶的SPAD值与叶绿素a、叶绿素b及叶绿素总量均呈极显著正相关;倒3叶的SPAD值与叶绿素a呈负相关,而与叶绿素b及叶绿素总量均呈显著正相关,表明在"3414"肥料试验中倒2叶的SPAD值更能准确地预测其叶绿素的绝对含量。该研究为叶绿素仪在五指毛桃生理实验中正确应用提供了科学依据,也为五指毛桃在成龄胶园间作实践提供了理论指导。     

主动遥感光谱仪Greenseeker与SPAD对玉米氮素营养诊断的研究

以手持式主动遥感光谱仪Greenseeker和叶绿素仪SPAD对玉米不同氮素水平下各个生育期的NDVI值及叶片SPAD值进行测试,研究不同氮素对玉米群体和个体营养状况的变化以及田间条件下简便、快速、非接触性的作物氮素营养状况诊断方法。结果表明,在一定的范围内随着氮肥用量的增加NDVI值也增加,氮肥施用量为N 300kg/hm2时NDVI值达到最高,NDVI 与氮肥施用量符合线性加平台的关系;玉米不同生育期间NDVI 值变化明显,苗期NDVI值比较低,大喇叭口期NDVI 值达到最高,以后逐渐下降并在抽雄期后趋于稳定。SPAD值与NDVI 值的变化趋势相一致,SPAD值与叶绿素含量成正相关关系,大喇叭口期完全展叶的SPAD 与产量存在正相关关系。手持式主动遥感光谱仪Greenseeker和叶绿素仪SPAD结合能够对玉米的氮素营养状况作营养诊断。     

基于SPAD的西瓜氮素营养诊断与推荐施肥技术研究

为解决西瓜生产中存在盲目或过量氮肥施用导致的果实品质下降和氮素利用率低下等突出问题,开展了基于叶绿素仪测定值(SPAD值)的西瓜全生育期氮素营养诊断与推荐施肥技术研究,以期为利用SPAD仪建立田间西瓜氮素营养实时诊断技术、开发西瓜精准氮素养分管理模式提供理论依据。试验于2020—2021年在甘肃河西灌区的张掖市以‘金城5号’西瓜为材料,设置了0、80、160、240、320、400 kg/hm² 6个氮肥水平,通过研究不同施氮水平下西瓜关键生育时期不同叶位及叶片不同位置上的SPAD值、叶绿素含量、全氮含量的变化特征及其与西瓜产量、品质指标的相互关系,建立基于SPAD值进行西瓜氮素营养诊断与推荐施肥的实时氮肥管理(RTNM)模式,并开展RTNM模式的生产性验证。西瓜苗期顶一叶叶尖、伸蔓期顶三叶叶中、膨果期功能叶叶中位置SPAD值与叶片叶绿素、全氮含量相关性最佳,且变异系数小,是较为理想的指示叶或参照叶;通过指示叶SPAD值与西瓜产量、品质指标及施氮量的回归分析,获得西瓜产量超过60000 kg/hm²的SPAD阈值范围为苗期49.1～51.0、...     

膜下滴灌棉花氮素推荐施肥模型的研究

研究应用叶绿素仪（SPAD-502）在膜下滴灌条件下的棉花氮肥推荐。试验于2006年在石河子乌兰乌苏农业气象实验站进行,以新陆早24为材料。结果表明,不同叶位的叶片含氮量、SPAD值及叶片不同部位的SPAD值存在明显差异,SPAD值与叶绿素含量、叶片含氮量、单株吸氮量等均有较好的相关性;倒四叶的叶尖部位适合作为测试部位。盛蕾期、花期、盛花期和铃期倒四叶SPAD值与施氮量之间呈极显著线性相关;各生育期SPAD值与产量也具极显著相关。滴灌条件下最高籽棉产量为4686.5 kg/hm2,对应的施肥量为293.1 kg/hm2;最大利润（经济最佳）施肥量为207.33 kg/hm2,对应的最佳产量为4565.9 kg/hm2。各生育期SPAD的临界值分别为60.5、60.0、60.8和59.1。盛蕾期、花期、盛花期和铃期SPAD值每变动一格推荐施肥量分别为10.81、8.46、13.42和6.29 kg/hm2。     

遮荫对水稻冠层叶片SPAD值及光合、 形态特性参数的影响

SPAD（soil-plant analysis and development）计是一种快速、 方便、 非破坏性的诊断植物叶片相对叶绿素或氮含量的仪器,与传统的氮营养诊断方法相比,此仪器节省时间、 劳力和资源。本试验通过未遮荫和遮荫的方法观察水稻冠层叶片SPAD值、 叶绿素含量、 叶绿素荧光、 光合参数、 叶片厚度和比叶重（叶片干重除以叶片的面积）等生理形态指标的变化,建立SPAD值与光系统II（PSII）最大量子产量（Fv/Fm）之间的回归关系。结果表明,遮荫条件下,甬优9号(YY9)和丙9363(B9363)冠层叶片变薄、 SPAD值、 叶绿素a/b、 比叶重、 电子传递速率（ETR）降低,但快速光曲线的初始斜率无明显变化; 同时, 遮荫导致了叶片的呼吸速率、 最大净光合(Pmax)、 量子效率、 光补偿点和饱和点降低,表明水稻叶片为适应弱光环境, 降低光合能力、 减少呼吸消耗, 以增加对有限光能的利用。不同光照条件下,水稻冠层叶片SPAD值与PSII的Fv/Fm的回归方程呈指数式关系（YY9 R2=0.896; B9363 R2=0.833）, 表明SPAD计可以快速、 无损、 有效地评估水稻冠层叶片的光合作用进程,当SPAD值小于35时,其光合过程可能处于受损状态。     

玉米不同层位叶片生理生化指标与SPAD值的关系

  【目的】  研究不同层位玉米叶片氮素指标的变化,确定在不同生育时期进行营养诊断的最佳叶片,以便能够及时、准确地进行氮素营养光谱诊断,实现玉米高产和肥料高效益。  【方法】  设置两年 (2017和2018) 的盆栽试验,共设6个施氮水平,分别在玉米的关键生育时期 (拔节期、大喇叭口期、开花吐丝期和灌浆期) 按叶片层位取样,分析叶片生理生化指标 (叶片氮含量、叶绿素含量、可溶性蛋白质含量、可溶性糖含量、叶片厚度和净光合速率) 的变化及其与SPAD值的关系,确定利用SPAD值对叶片氮含量进行估算的最佳叶片。  【结果】  1) 叶片氮含量、叶绿素含量、可溶性蛋白质含量、叶片厚度及净光合速率随着氮肥增施呈现先增加后平稳的趋势,与叶片SPAD值呈正相关关系;可溶性糖含量随着氮肥增施呈先减少后平稳的趋势,与SPAD值呈负相关关系。2) 叶片氮含量、叶绿素含量、可溶性蛋白质含量、叶片厚度、净光合速率及SPAD值垂直分布上均表现为上层叶片>下层叶片;可溶性糖含量表现为下层叶片>上层叶片。3) SPAD值与叶片氮含量之间建立的线性回归模型均达极显著水平,拔节期和灌浆期的上层叶片、大喇叭口期和开花吐丝期的中层叶片氮含量与SPAD值回归决定系数 (R2) 较高,分别为0.768、0.865、0.893、0.924。  【结论】  生育期、氮水平和叶片层位显著影响玉米叶片中与氮素营养相关的生理生化指标,呈现一定的空间异质性,在玉米拔节期和灌浆期利用SPAD值进行叶片氮含量营养诊断时应考虑测定上层叶片 (顶两片、三片完全展开叶),而在大喇叭口期和开花吐丝期应测定中层叶片 (中两片完全展开叶、穗位叶及以下两片叶)。     

叶绿素仪在氮肥推荐中的应用研究进展

叶绿素仪(Chlorophyll.meter)是近年来欧美一些国家在推荐施氮中开始使用的一种新型便携式仪器。这种仪器以叶绿素对红光和近红外光的不同吸收特性为原理来测定植物叶片的相对叶绿素含量,通过叶绿素与叶片全氮的关系来反映作物的氮营养状况,进而确定作物是否缺氮。这种新型仪器的使用为简便、快速、准确地进行氮肥推荐提供了一种新的思路。因此,通过研究不同作物,不同种植条件下叶绿素仪测定值与作物叶片全氮、作物产量之间的相关性,确定叶绿素仪测定值的临界水平,以及不同作物的测定部位、样品采集数量及影响测定准确性的因素,使这种技术尽快地应用于田间生产,有助于推动我国推荐施氮技术的进步。     

Chlorophyll meter readings,N leaf concentration and their relationship with N use efficiency in oregano

Plant-based diagnostic techniques such as chlorophyll meter (CM) readings and nitrogen (N) leaf concentration are used to determine the level of crop N nutrition, but research is limited on perennial crops and especially on aromatic and medicinal plants such as Greek oregano (Origanum vulgare spp. hirtum). The objectives of this study were to determine in a perennial crop species whether there is a relationship between the CM readings, N leaf concentration, and N use efficiency (NUE) and to use CM readings as a diagnostic tool for predicting dry matter yield in response to N fertilization. The CM readings varied across environments, growth stages, and fertilization treatments and were correlated with NUE. NUE was also affected by the environment, N fertilization, and interactions among these variables. This study provides new information about the effect of N application on CM readings, N leaf concentration, and NUE in a perennial crop such as oregano.     

Assessing Variations in SPAD‐502 Chlorophyll Meter Measurements and Their Relationships with Nutrient Content of Trembling Aspen Foliage

Abstract

The relative chlorophyll content in leaves estimated by the SPAD‐502 chlorophyll meter can be an efficient way to evaluate plant nitrogen (N) status in many crops and some tree species. In this study, the SPAD meter was used to look for relationships between relative leaf chlorophyll content and leaf nutrient concentration in trembling aspen. The variations in leaf chlorophyll measurements were also evaluated by using three sampling times and three measurement techniques. Hypothetical experimental designs were created to achieve better design efficiency. The best representation of overall leaf chlorophyll was found when six SPAD readings were taken at different locations on each leaf. There was a positive correlation between overall leaf N and estimated chlorophyll content, especially in the top part of the trees. Overall, this study suggested that the SPAD meter can give an estimation of trembling aspen nutritional status, especially if the differential partitioning of N within trees is considered.     

旱地不同冬小麦品种氮素营养的叶绿素诊断

通过田间试验研究了叶绿素仪用于西北旱地主栽的10个冬小麦品种氮素营养诊断的效果。结果表明,冬小麦SPAD值与子粒产量、生物学产量有很好的相关性,尤其以拔节期和开花期相关性较高。不同施氮量下的SPAD值有明显的不同,施氮量为180kg/hm2时,SPAD值达到最大。在同一施氮水平下,开花期的SPAD值均最高。拔节期之前冬小麦不同品种间SPAD值的差异较小,拔节期以后差异较大,最大可达9.2个SPAD单位。小偃22在每个时期的SPAD值都最高,并且与陕253、陕229和小偃503之间的差异均达显著水平,而陕253、陕229和小偃503之间的差异不显著。可见,小偃22与其它3个品种对氮素反应分属于不同类型,应根据不同品种类型建立相应的诊断指标。     

Microwave‐oven drying of rice leaves for rapid determination of dry weight and nitrogen concentration

Predicting the need for fertilizer‐nitrogen (N) topdressing based on plant N status is an important N management strategy for increasing both grain yield and N‐use efficiency of irrigated rice. Plant N analysis by conventional‐oven drying and micro‐Kjeldahl procedure generally requires several days. Accurate estimation of leaf N content per unit dry weight (Ndw) at different growth stages by the chlorophyll meter requires that meter‐reading values (SPAD values) be adjusted for specific leaf weight (SLW). This study demonstrated that a microwave oven can be used for drying rice leaves for quick estimation of leaf dry weight without significantly influencing the estimation of Ndw by micro‐Kjeldahl procedure. Microwave oven drying of 0.5 g (dry weight) leaf samples required only two minutes. Extended exposure duration up to six minutes did not alter the measured Kjeldahl N concentration. Specific leaf weight determined with microwave‐oven drying improved the prediction of Ndw by SPAD. The chlorophyll meter with SLW adjustment can provide another tool to make rapid, in‐season diagnosis of crop N status.     

Elevated atmospheric carbon dioxide effects on sorghum and soybean nutrient status 1

Increasing atmospheric carbon dioxide (CO₂) concentration could have significant implications on technologies for managing plant nutrition to sustain crop productivity in the future. Soybean (Glycine max [L.] Merr.) (C3 species) and grain sorghum (Sorghum bicolor [L.] Moench) (C4 species) were grown in a replicated split‐plot design using open‐top field chambers under ambient (357 μmol/mol) and elevated (705 μmol/mol) atmospheric CO₂. At anthesis, leaf disks were taken from upper mature leaves of soybean and from the third leaf below the head of sorghum for analysis of plant nutrients. Leaf greenness was measured with a Minolta SPAD‐502 chlorophyll meter. Concentrations of chlorophylls a and b and specific leaf weight were also measured. Above‐ground dry matter and seed yield were determined at maturiry. Seed yield of sorghum increased 17.5% and soybean seed yield increased 34.7% with elevated CO₂. There were no differences in extractable chlorophyll concentration or chlorophyll meter readings due to CO₂ treatment, but meter readings were reduced 6% when sorghum was grown in chambers as compared in the open. Leaf nitrogen (N) concentration of soybean decreased from 54.5 to 39.1 g/kg at the higher CO₂ concentration. Neither the chambers nor CO₂ had an effect on concentrations of other plant nutrients in either species. Further work under field conditions is needed to determine if current critical values for tissue N in crops, especially C3 crops, should be adjusted for future increases in atmospheric CO₂ concentration.     

叶绿素仪在夏玉米氮营养诊断中的应用

叶绿素仪(SPAD-502)的出现使通过无损伤的田间速测对作物进行氮营养诊断成为可能。采用简单的试验和研究方法在田间条件下研究了叶绿素仪应用于夏玉米氮营养诊断的可行性。研究结果表明,应用叶绿素仪监测夏玉米氮营养状况的最佳测定部位为最上部完全展开叶的中部,该部位叶绿素仪测定值与作物全氮、施氮量及产量之间均有较好的相关性。由于作物品种对叶绿素测定影响很大,需要通过相对叶绿素仪读数的方法对其进行校正,校正后叶绿素仪对夏玉米追肥推荐中营养状况的预测精度为66.7%。     

RELATIONSHIP BETWEEN CHLOROPHYLL CONTENT IN LEAVES OF SORGHUM AND PIGEONPEA DETERMINED BY EXTRACTION METHOD AND BY CHLOROPHYLL METER (SPAD-502)

ABSTRACT

The estimation of chlorophyll content in leaves by the chlorophyll meter (SPAD 502) is more convenient than by the extraction method for studies on photosynthesis or senescence where the total chlorophyll is estimated on the same leaf over time. This study was to test hypothesis that specific leaf weight (SLW) appears to be one of the factors determining SPAD index under different conditions. The influence of SLW on SPAD index and an improved simple method to determine chlorophyll content of sorghum and pigeonpea by a chlorophyll meter was studied. The results indicated that regression lines were significantly different between sorghum and pigeonpea, and at the vegetative and physiological maturity stages in each crop. Residuals of simple regressions calculated from all data of each crop were correlated with SLW. Multiple-regression with SPAD index as the dependent variable, and chlorophyll content and SLW as the independent variables gave the best estimation of chlorophyll content in leaves of sorghum and pigeonpea. These results suggest that SLW is an important factor affecting SPAD index and the influence of SLW on SPAD index can vary with crop species. Devices for estimating SLW could be incorporated into the chlorophyll meter to provide SPAD values adjusted for SLW. Further investigation is required on the influence of SLW on SPAD index for other crops.