Hyperspectral Models for Estimating SPAD Value of Cotton Leaves under Waterlogging Stress

[Object] To setup the hyperspectral sensing models for estimating SPAD value of cotton leaves under waterlogging stress. [Method] Irrigation and drainage controllable plots were introduced to simulate the waterlogging stress treatment in the flowering and boll forming stage, during which the change characteristics of the cotton leaf spectral reflectance and SPAD value were observed after 1 d, 3 d, 6 d, 9 d waterlogging, respectively. To find out the hyperspectral sensing models for estimating SPAD value of cotton leaves under waterlogging stress, the correlation and regression relationships between SPAD value and spectrum parameters were analyzed. [Result] (1) The SPAD value of the fourth cotton leaf from the top was significantly lower than control when suffers from waterlogging for 3 d, when waterlogged 9 d the SPAD value decreased by around 15% compared with the control. (2) The cotton suffering from waterlogged damage in the flowering and boll forming stage caused the reflection peak in green light wave band became steep, while the near infrared spectral reflectance increased, and caused the reduction of red absorption and red edge position "blue shifts", the red edge position drifts towards short wave with 4～5 nm when suffers from waterlogging for 9 d. With increase of the waterlogged days, the red edge slope and red edge area increased with a maximum value at 6 d of waterlogging, meanwhile, the skewness and kurtosis of red edge increased. (3) After waterlogging, the SPAD value of the fourth cotton leaf from the top (chlorophyll content) had a remarkable correlation with red edge slope(Dr), red edge position(λr), green peak reflection(Rg), green peak position(λg), red well position(λo), blue edge area(SDb), yellow edge skewness(Sy), yellow edge kurtosis(Ky), red edge skewness(Sr), red edge kurtosis(Kr), etc. An experience linear, polynomial and exponential models for estimating SPAD value had been built through using the Sy, Sr, Kr as independent variables, respectively, their determination coefficient (R²) were greater than 0.9, and the root mean square error (RMSE) were less than 1; and an experience binary linear regression equation for estimating SPAD value had been built through multivariate regression using the λg, SDr/SDb(VI3), Sb, Sy, Ky as independent variables, the R² was as high as 0.973, and the RMSE was 0.393. [Conclusion] The model can be remote sensing model used as estimating leaf SPAD of cotton value under waterlogging stress.     

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 ...     

相对SPAD值用于不同品种夏玉米氮肥管理的研究

采用田间试验研究了不同氮肥处理、不同玉米品种及关键生育期间的SPAD值差异和基于相对SPAD阈值的氮肥管理对氮肥用量、子粒产量、氮肥利用率和土壤氮素变化的影响。结果表明,两品种玉米各关键生育期的SPAD值开始随施氮量的增加而显著增加,施氮量超过N 210 kg /hm2后不再显著增加;郑单958和冀农一号大喇叭口期的相对SPAD值与产量的关系符合线性加平台模型,其平台相对SPAD值分别为0.976和0.981;两玉米品种和不同生育期间的绝对SPAD值差异显著,利用相对SPAD值可消除品种和生育期间的SPAD值差异。玉米关键生育期追肥量和总施氮量均随预设相对SPAD阈值的增加而增加,基于相对SPAD阈值的氮肥管理能在保持高产的同时较农民习惯施肥显著降低氮肥用量、田间氮素表观损失和收获后土壤无机氮残留、提高氮肥利用率;本试验条件下,保持玉米高产高效的适宜相对SPAD阈值为0.95～0.98,此阈值管理下,郑单958和冀农一号的产量较农民习惯施肥没有降低,而氮肥用量降低了42%,氮肥回收利用率和农学效率分别增加了18.6、20.0个百分点和6.0、6.5 kg/kg。     

Effect of nitrogen application during ripening period on photosynthesis and dry matter production and its impact on yield and yield components of semidwarf iniica rice varieties under water culture conditions

Abstract

A water culture pot experiment was conducted to analyze the effects of N application during the ripening period (RP) on photosynthesis, dry matter production, and its impact on grain ripening and yield in two semidwarf indica type varieties viz. Gui Zhao 2 (GZ) and BR3 (BR) compared with a japonica type variety Koganemasari (KO) under four N rates viz. 0 (N₀), 10 (N₁₀), 20 (N₂₀), and 40 (N₄₀) mg L^?1. Results showed that N application enabled to maintain a higher leaf area and delay leaf senescence in both indica and japonica type varieties but the decrease in the rate, of leaf area was higher in the former than in the latter and the rate was reduced with increasing N rates. Flag leaf photosynthesis and SPAD values of N treated plants were higher throughout the RP, showing the presence of a significant correlation either for each variety or all the varieties together. Higher photosynthetic rate was supported by higher leaf chlorophyll (SPAD value basis) content, stomatai conductance, and N concentration in leaf blades. Top dry matter content increased with increasing N rates mainly due to mean leaf area rather than NAR except for BR during RP but it was higher in KO than in GZ and BR. Reduction of shoot weight due to translocation of dry matter to panicles during RP was suppressed by N rates both in GZ and BR while shoot weight increased in the N-treated plants in KO. The dependency of KO on current photosynthates for panicle weight was found to be almost hundred percent while the contribution of stored carbohydrates in shoot before heading to panicle weight in GZ and BR was in the range of 4-27 and 33-54%, respectively and the rest was contributed by current photosynthates. The percentage increased with increasing N rates. Percentage of ripened grains (PRG) increased with increasing N rates in GZ and BR due to the increase in dry matter production and in the photosynthetic rates of apex leaves, despite the larger spikelet number and larger hull size. However, KO showed almost no variation although it had the highest PRG among the varieties. Brown rice yield followed the same pattern as that of PRG in GZ and BR and the highest yield was produced by BR followed by GZ and KO. These results suggest that N application during RP was more effective in increasing yield in the semidwarf indica type varieties than in the japonica type variety.     

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。     

基于无人机多光谱影像的夏玉米SPAD估算模型研究

快速获取作物叶片叶绿素含量对及时诊断作物健康状况、指导田间管理具有重要意义。本研究以关中地区2020年夏玉米为研究对象,获取试验区无人机多光谱影像,提取植被指数,分析所选植被指数与SPAD的相关性,筛选得到模型的输入变量,利用偏最小二乘法(PLS)、随机森林回归(RF)和分层线性模型(HLM)分别构建拔节期、抽雄期、灌浆期以及全生育期的SPAD估算模型,最终选出最优估算模型,以期为快速获取夏玉米SPAD提供参考。研究发现：除NRI之外,NDVI、OSAVI、GNDVI、RVI、MCARI、MSR、CIre与SPAD均显著相关,其中,OSAVI、NDVI与SPAD呈现出较强且稳定的相关性;各个生育期的最优模型均是RF模型,在拔节期、抽雄期、灌浆期和全生育期,验证集R²分别为0.81、0.81、0.73、0.61,RMSE分别为1.24、2.32、3.13、3.20;对于SPAD估算模型,将降雨量、最高气温这两个气象因子与植被指数耦合的HLM模型可以一定程度提升线性模型的估算精度,但其精度低于RF模型。因此,基于无人机多光谱影像的RF模型可以实现夏玉米SPAD的快速准...     

微喷周期对葡萄叶片SPAD值和叶绿素含量与产量的影响分析

为研究极端干旱区微喷灌水技术对葡萄生理和产量的影响,通过对葡萄不同生育期叶片SPAD值、叶绿素含量和产量的测定,分析不同微喷周期条件下各处理的叶片SPAD值、叶绿素含量的变化特征和相互关系及对产量的影响。结果显示:在不同喷水周期条件下,各处理的SPAD值呈先减小后增大的变化趋势,日变化值为38.31~43.8。其中,每天喷水1h处理的SPAD值日平均值最高,为42.0,之后是对照处理和每隔1d喷水2h处理,分别为41.2和40.3,每隔2d喷水3h处理的SPAD值最低,为39.3。葡萄SPAD值与叶绿素a、叶绿素b以及总叶绿素含量间相关关系显著,回归方程分别为Ca=0.1028VSPAD-2.2266、Cb=0.0796VSPAD-2.3749、Ct=0.1824VSPAD-4.4602。在葡萄品质指标和产量上,采用微喷可以提高VC含量、多酚含量和单宁含量等多项品质指标,并使葡萄平均增产5.4%,表明合理的微喷周期处理有利于提高葡萄叶片叶绿素含量,并使产量增加,而叶绿素仅是葡萄生理生长的指标之一,如光合、叶绿素荧光等指标对葡萄生理的影响仍需作更深入的研究,以期能更进一步揭示微喷条件下的葡萄增产作用机理。     

Evaluating foliar nitrogen compounds as indicators of nitrogen status in Prunus persica trees

Mobile nitrogen (N) forms may be better N indicators of the N status of trees than total nitrogen (TN) due to their higher sensitivity to increasing N supply. A field experiment was carried out over a 3-year period to compare foliar concentrations of total N (TN), soluble N (SN), chlorophyll (Minolta SPAD readings), NH₄–N and NO₃–N as indicators of soil N availability in nectarine, Prunus persica L. Batsch, cv. ‘Fantasia’ (grafted on ‘Nemaguard’ peach, P. persica × P. davidiana) trees. Young trees were exposed to a range of fertilizer-N application rates. Based on correlation analysis, the best association between leaf N compounds with soil N supply and trunk diameter and/or fruit yield was obtained with TN and chlorophyll SPAD readings. Leaf concentrations of mobile N compounds (NH₄–N and NO₃–N) increased more than any other N compound under high N supply; however, their inconsistency among years and low leaf concentration difficult their use as N indicators. The optimum foliar TN for growth decreased with tree age, 4.4%, 3.6% and 3.3% in non-bearing 1-year-old trees, non-bearing 2-year-old trees and 3.3 fruit-bearing 3-year-old trees. The optimum SPAD readings were 40 in 2-year-old trees and 42 in 3-year-old trees. Stable N compounds (TN and chlorophyll SPAD) could be used to N diagnosis in the zone of N deficiency, and soluble N compounds (NH₄–N and NO₃–N) to diagnoses N excess.     

基于随机森林回归算法的小麦叶片SPAD值遥感估算

使用机器学习中的随机森林(RF)回归算法构建小麦叶片SPAD值遥感反演模型。以2010—2013年江苏地区试验点稻茬小麦3个生育期(拔节、孕穗、开花)的叶片为材料,结合我国自主研发的环境减灾卫星HJ-1对研究区域进行同步监测,分析了各生育期叶片SPAD值与8种植被指数间的相关性;以0.01水平下显著相关的植被指数作为输入参数,使用RF回归算法构建了每个生育期的小麦SPAD反演算法模型,即RF-SPAD模型,以支持向量回归(SVR)和反向传播(BP)神经网络算法构建的SVR-SPAD模型和BP-SPAD模型作为比较模型,以R2和均方根误差(RMSE)为指标,分析了每个生育期3个模型的学习能力和回归预测能力,结果表明:RF-SPAD模型在3个生育期都表现出最强的学习能力,R2和RMSE在拔节期分别为0.89和1.54,孕穗期分别为0.85和1.49,开花期分别为0.80和1.71;RF-SPAD模型在3个生育期的回归预测能力都高于BP-SPAD模型,高于或接近于SVR-SPAD模型,R2和RMSE在拔节期分别为0.55和2.11,孕穗期分别为0.72和2.20,开花期分别为0.60和3.16。     

不同铵硝比营养液对生菜生长发育影响的研究

氮素是作物生长所必需的营养元素之一。在一般情况下，作物能够吸收利用的氮素形态有多种。但从营养学角度来说，植物生长的主要氮源为NH4^＋-N和NO3^-—N。由于作物本身遗传特性和营养特点以及环境条件的差异，作物对NH4^＋-N和NO3^--N的吸收利用和适宜性也有不同。对蔬菜作物来说，