用于微小型光谱仪的冬小麦抽穗期叶绿素含量诊断模型

采用基于微小型光谱学传感器构建的作物冠层反射光谱探测系统,在田间轻量便携式地测量冬小麦抽穗期冠层可见光-近红外反射光谱。首先对冠层反射光谱进行去噪预处理,对原始光谱先一阶微分运算后,采用Bior Nr.Nd双正交小波进行小波包分解和重构以达到数据平滑的目的。对样本点数据利用蒙特卡罗抽样方法进行分析,去除异常样本点值,然后基于Random frog特征变量选取算法进行叶绿素含量敏感波长筛选。分别对原始光谱和经预处理后的光谱数据所选取的敏感波长进行偏最小二乘回归(partial least squares regression,PLSR)建模,建模结果如下:基于原始光谱的敏感波长639、436、459、642、556、653、596、455 nm建立叶绿素含量诊断PLSR模型,建模精度Rc2为0.70,均方根误差为1.398 0,验证精度Rv2为0.10,均方根误差为2.381 0;经过预处理后,基于选取的特征波长719、572、562、605、795、527、705、514 nm建立叶绿素含量诊断PLSR模型,建模精度Rc2为0.69,均方根误差为1.364 8,验证精度Rv2为0.52,均方根误差为1.839 7,估测能力得到了提高。结果表明:基于微小型光谱学传感器构建的作物冠层反射光谱探测系统能够合理地预测冬小麦叶片中的叶绿素含量,可用于田间冬小麦抽穗期的作物营养诊断。     

不同利用方式下土壤有机质和全磷的可见近红外高光谱反演

以太湖流域直湖港小流域稻田、桃园和菜地的土壤样本为研究对象,研究了不同光谱建模方法和土地利用方式对土壤有机质和全磷高光谱反演的影响。结果表明:(1)偏最小二乘回归分析(Partial least squarer egression,PLSR)模型的建模和预测精度较高且稳定;人工神经网络中广义回归神经网络(Generalized regression neural network,GRNN)网络预测精度较高但易出现过拟合现象,反向传播神经网络(Back propagation neural network,BPNN)网络比较稳健但精度略低;偏最小二乘与人工神经网络相结合则可综合两者优点,改善复杂样本下的预测精度。(2)土壤有机质的光谱反演结果优于全磷。3种土地利用方式中,稻田的预测效果总体优于桃园和菜地。在当前研究区域内土地利用方式对土壤有机质光谱反演影响不大,但对全磷反演影响较大。今后利用光谱对土壤全磷反演时需分土地利用方式对模型进行校准。     

反射光谱估算滨海土壤黏粒含量

探明反射光谱估算土壤黏粒含量的成因是实现黏粒含量测定、提高估算精度的基础。该文以江苏省滨海平原的150个土壤样品为研究对象,将测得的原始光谱数据进行平滑、一阶导数、连续统去除和倒数等数据变换,采用逐步多元线性回归(stepwise multiple linear regression,SMLR)和偏最小二乘回归(partial least squares regression,PLSR)方法估算黏粒含量,并在此基础上分析建模的影响波段,探讨反射光谱估算土壤黏粒含量的成因。结果表明,连续统去除光谱数据的SMLR分析估算精度最高,建模集和验证集决定系数分别为0.941和0.750。360~900、1 800~2 490 nm是黏粒含量的重要建模影响波段,该建模影响波段主要包括铁离子(410 nm附近)、土壤有机质(500~800 nm)、层状硅酸盐中的结晶水(1 900 nm附近)、绿泥石和蛭石等黏土矿物(2 325 nm)的吸收特征波段;PLSR分析表明,1 400 nm附近回归系数出现的双峰特征源于高岭石的双峰吸收。黏粒中的黏土矿物、黏粒对铁离子的吸附特性以及黏粒与有机质的高度相关性是实现反射光谱估算滨海土壤黏粒含量的原因。     

基于可见/短波近红外光谱检测结球甘蓝维生素C含量

维生素C是人类必需的营养素,结球甘蓝作为主要蔬菜品种之一富含维生素C。该试验利用可见/短波近红外光谱分析技术,开展结球甘蓝维生素C含量的快速检测方法研究。首先通过Kennard-Stone(K-S)法将样本按照6:1划分为校正集(60个样本)和验证集(11个样本),分别利用反射率和吸光度的原始光谱、一阶导数(first derivative,FD)和二阶导数(second derivative,SD)光谱预处理后对应的6个数据集,建立偏最小二乘(partial least squares,PLS)回归模型。针对最优光谱预处理方法处理后的光谱,设置5个置信水平(0.95,0.975,0.99,0.995,0.999 5),利用逐步回归(stepwise regression,SR)进行建模波长选择,以各置信水平对应的各组优选波长进行多元线性回归建模。结果表明:利用FD光谱预处理方法可以提高PLS回归模型精度,验正集R~2从处理前的0.85提高到0.96,是该研究的最佳光谱数据预处理方法。利用降维后的7个主成分继续建立PLS回归模型,校正集R~2为0.92,交互验证均方根误差(root mean squared error of cross validation,RMSECV)为0.658 0 mg/100 g,验证集R~2为0.96,预测均方根误差(root mean squared error of prediction,RMSEP)为1.620 4 mg/100 g。PLS回归模型预测维生素C含量,检测精度高,可以代替传统检测方法,为结球甘蓝的品质评定提供一种新的途径。进一步分别应用8,6,5个优选波长进行多元线性回归建模,校正集R~2平均为0.78,RMSECV平均为3.760 9 mg/100 g,验证集R~2平均为0.73,RMSEP平均为2.879 2 mg/100 g,虽然R~2有所降低,但波长点少,利用较少的波长变量来预测维生素C含量,降低模型复杂度,可以为便携式检测仪器开发提供技术支持,以提高结球甘蓝内部品质评定作业效率。     

霉变稻谷脂肪酸含量的光谱检测模型构建与优化分析

为了实现霉变稻谷脂肪酸含量无损、快速检测,该文研究应用可见/近红外光谱技术检测霉变稻谷的脂肪酸含量。考虑到直接选用霉变稻谷可见/近红外光谱数据构建脂肪酸含量预测模型存在建模费时、预测失准等问题,研究提出了霉变稻谷脂肪酸含量的可见/近红外优化校正模型。研究中通过光谱-理化值共生距离(sample set partitioning based on joint xy distance,SPXY)算法结合偏最小二乘法初步分析了不同校正集样本预测霉变稻谷脂肪酸含量的差异;利用连续投影算法(SPA)提取了反映霉变稻谷脂肪酸含量变化的特征波段;采用偏最小二乘法(partial least square,PLS)和多元线性回归法(multivariable linear regression,MLR)分别建立了基于特征波段光谱反射值的霉变稻谷脂肪酸含量预测模型,并对比分析了采用SPXY样本集划分的模型预测效果。结果表明:采用SPXY法筛选出的65个校正集样本分布与初始校正集相近,脂肪酸含量变化范围为18.55~127.26 mg,其标准差为32.39;SPA算法最终从256个全光谱波段中优选出9个特征波段,实现了光谱数据的压缩;分别建立的SPXY-SPA-PLSR模型和SPXY-SPA-MLR模型预测霉变稻谷脂肪酸含量相关系数RP为0.922 1和0.915 9,预测均方根误差RMSEP为13.889 3和14.261 0;SPXY筛选校正集所构建模型预测精度与初始校正集所建模型相当,但校正集样本数量减少为初始校正集的41%,运算时长缩短为初始样本集的32%,提高了模型的校正速度。     

土壤有机质可见光-近红外光谱预测样本优化选择

土壤有机质可见光-近红外光谱预测中建模样本的优化选择对提高有机质模型估算精度具有重要作用。本文以湟水流域土壤有机质为例,采用基于土壤单一属性信息考虑的建模样本选择方法:浓度梯度法、Kennard-Stone(KS)方法,以及基于土壤多种信息考虑的建模样本选择方法:Rank-KS(RKS)法、土壤类型结合浓度梯度法以及土壤类型结合KS法。通过偏最小二乘回归建模,探索可见光–近红外光谱预测青海湟水流域有机质的最优样本集。结果表明:不同级别样本数的最佳建模样本选择方法不同,整体表现为基于土壤多种信息挑选的建模样本集的模型精度相比土壤单一信息均较高,特别是KS方法结合土壤类型后的建模样本集模型精度明显提高且在样本数较少时更为明显。土壤类型可以优化建模样本选择方法提高模型预测精度。在保证固定验证样本模型预测精度的情况下,土壤类型参与建模样本的选择可以有效减少建模样本数,进而降低了建模成本。     

农产品产地加工与储藏工程技术分类

生鲜牛肉的含水率对其牛肉的加工、储藏、贸易与食用质量有重要影响,为了提高牛肉的经济价值和食用品质,需要研究牛肉含水率的无损检测技术。以取自不同超市的内蒙小黄牛和鲁西黄牛背最长肌为研究对象,有效样本86个,其中,75%的样本作为校正集,25%的样本作为验证集。采集牛肉新鲜切口处400～1170 nm波长范围内的漫反射光谱,用国标方法测定牛肉含水率。经过多元散射校正（multiplicative scatter correction, MSC）、变量标准化（standard normalized variate, SNV）和直接正交信号校正（direct orthogonal signal correction, DOSC）等方法预处理,在400～1170 nm范围内分别建立多元线性回归（multiple linear regression, MLR）模型、主成分回归（principal component Regression, PCR）模型和偏最小二乘回归（partial least squares regression, PLSR）模型。结果表明使用MSC预处理方法建立的模型预测效果最佳,其中用PLSR建模结果最好,校正集的相关系数和校正标准差分别是0.92和0.0069,验证集的相关系数和验证标准差分别是0.92和0.0047,外部验证的相关系数和验证标准差分别是0.85和0.0054。结果表明,可见/近红外光谱结合MSC预处理方法建立的PLSR模型,可以对牛肉含水率进行准确的快速无损评价,为生鲜牛肉含水率快速无损检测技术的应用提供理论参考。     

含水率对土壤有机质含量高光谱估算的影响

土壤含水率对有机质(soil organic matter,SOM)含量高光谱估算精度有很大的影响。为了探讨SOM高光谱估算中土壤含水率的影响,该文对烘干土、风干土和质量含水率为5%~40%(按5%递增)的土壤样本进行了室内高光谱测量,对光谱数据进行了反射率、反射率一阶导数和反射率倒数对数3种光谱数据变换,运用偏最小二乘回归法(partial least squares regression,PLSR)建立了相应的SOM估算模型。结果表明,风干土的SOM高光谱估算精度较好;当含水率水平小于25%时,SOM估算模型精度受含水率的影响较大,光谱数据进行反射率倒数对数变换后的模型精度最高;当含水率水平大于等于25%时,水分对土壤光谱反射率的影响要大于SOM,不适宜利用土壤光谱数据进行SOM含量高光谱估算。该研究可为大田环境不同含水率情况下光谱估算SOM提供参考。     

基于相似光谱匹配预测土壤有机质和阳离子交换量

土壤可见光-近红外波段光谱(350~2 500 nm)包含了大量的土壤属性信息,相同类型的土壤具有相似的光谱曲线特征,但相似光谱曲线是否具有相似的属性含量?探讨此问题可为土壤光谱库的应用提供依据,从而最终服务于快速获取土壤信息技术体系的构建。该研究以安徽宣城为研究区,根据母质、地形特征和土地利用等信息,采集91个典型土壤剖面,共含400个土壤发生层样品,测定了有机质(soil organic matter,SOM)和阳离子交换量(cation exchange capacity,CEC)含量,同时采用VARIAN公司的Cary 5000分光光度计测定了土壤光谱,并将光谱数据变换为反射率(R)、反射率一阶导数(FDR)和吸收度(Log(1/R))3种形式。该文采用光谱角(spectral angle mapper,SAM)、偏最小二乘回归(partial least square regression,PLSR)和SAM-PLSR(spectral angle mapper-partial least square regression,SAM-PLSR)3种方法预测土壤SOM和CEC。SAM方法是通过对测试集104个光谱曲线与参考集的296个光谱曲线进行相似性计算,并以此实现土壤SOM和CEC含量的预测。SAM-PLSR方法以SAM算法下的匹配结果作为建模样本建立PLSR模型和进行预测分析。结果表明,具有相似光谱曲线的土壤具有相似的SOM和CEC含量,SAM算法下相似光谱匹配可直接预测SOM(R2=0.78,RPD=2.17)和CEC(R2=0.82,RPD=2.41)。PLSR方法可很好地预测SOM(R2=0.87,RPD=2.77)和CEC(R2=0.87,RPD=2.59);相较之下,SAM-PLSR方法不仅可以更加准确预测SOM(R2=0.89,RPD=3.00)和CEC(R2=0.91,RPD=3.06),而且大大减少了建模样本的数量。该研究使可见光-近红外光谱可更加高效地用于土壤属性分析,并为土壤光谱数据库的建设及应用提供技术参考。     

可见/近红外光谱结合遗传算法无损检测牛肉pH值

为了实现牛肉在整个货架期内(4℃环境)pH值的无损快速检测,该文采用可见/近红外光谱技术并结合遗传算法(GA,genetic algorithm),搭建了可见/近红外光谱检测系统,采集储藏在4℃下1～18d的120个牛肉样品400～1700nm范围的光谱,用不同预处理方法处理,并分别建立全波段光谱和经过遗传算法提取有效光谱的预测牛肉pH值的多元线性回归(MLR,multiple linear regression)模型、偏最小二乘回归(PLSR,partial least-squares regression)模型和最小二乘支持向量机(LS-SVM,least square-support vector machine)模型。结果表明,多元散射校正(MSC,multiplicatives catter correction)结合Savitzky-Golay(SG)平滑为最佳预处理方法,遗传算法提取光谱后所建模型的预测精度均高于全波段光谱所建模型,其中LS-SVM为最佳预测模型,其预测相关系数和标准差分别为0.935和0.111,相比全波段LS-SVM模型预测,精度得到了提高。研究表明可见/近红外光谱技术结合遗传算法所建LS-SVM预测模型能够实现4℃下牛肉整个货架期内pH值的无损快速检测。该研究为进一步开发实用的牛肉pH值无损快速检测设备提供依据。     

Effects of ozone treatment on postharvest strawberry quality

The effect of ozone treatment on the postharvest quality of strawberry was evaluated. Strawberry fruits (Fragaria x ananassa Duch. cv. Camarosa) were stored at 2 degrees C in an atmosphere containing ozone (0.35 ppm). After 3 days at 2 degrees C, fruits were moved to 20 degrees C to mimic retail conditions (shelf life). The changes in several quality parameters such as fungal decay, color, sugar and acids distribution, and aroma were evaluated during the strawberries' shelf life. Ozone treatment was ineffective in preventing fungal decay in strawberries after 4 days at 20 degrees C. Significant differences in sugars and ascorbic acid content were found in ozone-treated strawberries. At the end of cold storage, the vitamin C content of ozonated strawberries was 3 times that of control fruits. A detrimental effect of ozone treatment on strawberry aroma was observed, with a 40% reduced emission of volatile esters in ozonated fruits.     

Biosynthesis of strawberry aroma compounds through amino acid metabolism

The fate of amino acids in relation to aroma biogenesis was studied in strawberries using the in vitro growth approach. This fruit presented differences in the level of metabolization for different amino acids. Incubations of strawberries with L-isoleucine gave rise to an increase of fourteen compounds in this fruit aroma, either not detected previously or constituents of strawberry aroma. However, L-valine incubations did not provide a significant change in this fruit aroma. Strawberry feeding with L-isoleucine resulted in a 7-fold increase in the sum of 2-methylbutanoate esters, and a double production of 2-methylbutyl esters compared to those of control fruits. Around 94% of the ester increase corresponded to 2-methylbutanoates, with ethyl 2-methylbutanoate being the most representative compound (92%). On the other hand, among the 2-methylbutyl esters, comprising around 6% of total aroma volatiles increase, 2-methylbutyl acetate was the major compound (95%) arising from L-isoleucine strawberry feeding. The role of enzymatic activities within the amino acid metabolic pathway in strawberry fruits is discussed.     

Characterization of phenolic compounds in strawberry (Fragaria x ananassa) fruits by different HPLC detectors and contribution of individual compounds to total antioxidant capacity

Phenolic compounds in strawberry (Fragaria x ananassa) fruits were identified and characterized by using the complementary information from different high-performance liquid chromatography detectors: diode array, mass spectrometer in positive and negative mode, and coulometric array. Electrochemical profiles obtained from the coulometric array detector contributed to the structural elucidation suggested from the UV-vis and mass spectra. About 40 phenolic compounds including glycosides of quercetin, kaempferol, cyanidin, pelargonidin, and ellagic acid, together with flavanols, derivatives of p-coumaric acid, and ellagitannins, were described, providing a more complete identification of phenolic compounds in strawberry fruits. Quercetin-3-malonylhexoside and a deoxyhexoside of ellagic acid were reported for the first time. Antioxidative properties of individual components in strawberries were estimated by their electrochemical responses. Ascorbic acid was the single most important contributor to electrochemical response in strawberries (24%), whereas the ellagitannins and the anthocyanins were the groups of polyphenols with the highest contributions, 19 and 13% at 400 mV, respectively.     

YIELD AND GROWTH RESPONSE OF STRAWBERRY TO PLANT GROWTH-PROMOTING RHIZOBACTERIA INOCULATION

This study was conducted to examine the effect of inoculation of plant growth-promotion Rhizobacteria (PGPR) on phenological data, total yield and fruit quality characteristics of strawberry (Fragaria x ananassa Duch) cv. ‘Fern’ during 2006 and 2007. All bacterial root inoculations significantly increased yield per plant (1.98–20.85%), average fruit weight (3.05–19.26%) and first quality fruit ratio (10.30–32.05%) compared to control, whereas the bacterial inoculations did not affect leaf area, first flowering and harvest dates in strawberry cv. ‘Fern’. The bacteria also increased soluble solid content (SSC) and vitamin C in strawberry cv. ‘Fern’. The vitamin C contents of fruits ranged from 47.41 mg 100 g^?1 (control) to 53.88 mg 100 g^?1 (RC05), while SSC values varied between 10.16% (control) and 12.83% (RC01). Results of this study show that RC19 (Bacillus simplex), RC05 (Paenibacillus polymyxa), and RC23 (Bacillus spp.) have the potential to increase the yield and growth of strawberries.     

大蒜精油-羧甲基纤维素钠复合涂膜提高草莓贮藏效果

为了减少草莓在贮藏过程中的腐败变质延长草莓保质期,在质量分数为1.0%的羧甲基纤维素钠溶液中添加大蒜精油(体积分数:0、2、4、6μL/100 m L)制成复合溶液作为涂膜材料,涂膜液浸泡30 s于新鲜草莓表面,分析草莓在(20±2)℃贮藏过程中的品质变化。结果表明,与对照组未涂膜相比,大蒜精油-羧甲基纤维素钠复合涂膜材料能显著(P0.05)降低草莓在贮藏过程中的的呼吸作用强度和腐烂变质(P0.05),减少果实失重率;延缓草莓果实花色苷的分解,有良好的护色作用;另外,大蒜精油-羧甲基纤维素钠复合涂膜材料减少了草莓中可滴定酸度、维生素C、可溶性固形物的分解及丙二醛的累积。综合不同处理组草莓在贮藏过程中的品质变化,确定当大蒜精油添加量为4μL/100 m L时,草莓有较佳的保鲜效果,可为草莓果实的贮藏保鲜方法提供参考。     

Benzothiadiazole induces the accumulation of phenolics and improves resistance to powdery mildew in strawberries

Benzothiadiazole (BTH) enhanced the accumulation of soluble and cell-wall-bound phenolics in strawberry leaves and also improved the resistance to powdery mildew infection under greenhouse conditions. The most pronounced change was seen in the levels of ellagitannins, which increased up to 2- to 6-fold 4 days after the BTH application, but persisted only in the inoculated plants. The induction of phenolic metabolism by BTH was also reflected in the fruits, several compounds being increased in inoculated, BTH-treated plants. Basal salicylic acid (SA) content was high in strawberry leaves, but increased in a similar fashion to other phenolics after the treatments. Several phenolic compounds were identified in strawberries for the first time. For example, ellagic acid deoxyhexose, three agrimoniin-like ellagitannins, sanguiin H-10- and lambertianin C-like ellagitannins in the leaves, ellagic acid, p-coumaric acid, gallic acid, and kaempferol hexose in the cell-wall-bound fraction of the leaves, and kaempferol malonylglucoside in the fruits. The findings show that BTH can enhance the accumulation of phenolics in strawberry plants which may then be involved in the BTH-induced resistance to powdery mildew.     

Strawberry and its anthocyanins reduce oxidative stress-induced apoptosis in PC12 cells

Because strawberries are known to contain higher concentrations of phytochemicals and have higher antioxidant capacity among common fruits, their neuroprotective activity was tested in vitro on PC12 cells treated with H2O2. Their protective effect and antioxidant capacity were also compared with those of banana and orange, which are the fresh fruits consumed at highest levels in the United States. The cell viability test using the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) reduction assay showed that strawberry phenolics significantly reduced oxidative stress-induced neurotoxicity. Because oxidative stress is also known to increase neuronal cell membrane breakdown, lactate dehydrogenase (LDH) and trypan blue exclusion assays were also performed. Strawberry showed the highest cell protective effects among the samples. The overall relative neuronal cell protective activity of three fruits by three tests followed the decreasing order strawberry > banana > orange. The protective effects appeared to be due to the higher phenolic contents including anthocyanins, and anthocyanins in strawberries seemed to be the major contributors.     

石榴皮提取液对草莓的保鲜效果

为了发展草莓贮藏保鲜的新技术和有效利用石榴皮资源,以新鲜草莓为材料,在贮藏前分别经过1.25%壳聚糖溶液（T1）、1%石榴皮提取液（T2）、1.25%壳聚糖石榴皮提取物复合溶液（T3）浸泡处理,以蒸馏水浸泡作为对照（CK）,通过对其在贮藏期相关品质指标（质量损失率、软化腐烂率、可溶性固形物质量分数、可滴定酸质量分数、Vc质量分数、丙二醛（MDA）含量）的测定,比较了3种处理溶液的保鲜效果。结果显示,T1、T2、T3处理均降低了草莓果实质量损失率、软化腐烂率和MDA含量,延缓了果实可滴定酸、可溶性固形物和Vc质量分数的下降,其中T3处理效果明显好于T1和T2处理,T3处理可使在室温下放置的草莓保鲜期延长1～2 d。结果表明石榴皮提取液用于草莓保鲜可行,与一定浓度的壳聚糖配制的复合保鲜液保鲜效果更理想。     

Nondestructive application of laser-induced fluorescence spectroscopy for quantitative analyses of phenolic compounds in strawberry fruits (Fragaria x ananassa)

Laser-induced fluorescence spectroscopy (LIFS) was nondestructively applied on strawberries (EX = 337 nm, EM = 400-820 nm) to test the feasibility of quantitatively determining native phenolic compounds in strawberries. Eighteen phenolic compounds were identified in fruit skin by UV and MS spectroscopy and quantitatively determined by use of rp-HPLC for separation and diode-array or chemical reaction detection. Partial least-squares calibration models were built for single phenolic compounds by means of nondestructively recorded fluorescence spectra in the blue-green wavelength range using different data preprocessing methods. The direct orthogonal signal correction resulted in r (2) = 0.99 and rmsep < 8% for p-coumaroyl-glucose, and r (2) = 0.99 and rmsep < 24% for cinnamoyl-glucose. In comparison, the correction of the fluorescence spectral data with simultaneously recorded reflectance spectra did not further improve the calibration models. Results show the potential of LIFS for a rapid and nondestructive assessment of contents of p-coumaroyl-glucose and cinnamoyl-glucose in strawberry fruits.     

Residue analysis and degradation studies of fenbuconazole and myclobutanil in strawberry by chiral high-performance liquid chromatography-tandem mass spectrometry

A simple and sensitive enantioselective method for the determination of fenbuconazole and myclobutanil in strawberry was developed by high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS). Fenbuconazole and myclobutanil residues in strawberry were extracted with acetonitrile containing 1% acetic acid, and an aliquot was cleaned up with PSA (primary and secondary amine) and C(18) sorbent. The direct resolution of fenbuconazole and myclobutanil enantiomers was performed on a cellulose tris (3,5-dimethylphenylcarbamate) column using acetonitrile-0.1% formic acid solution (60:40, v/v) as the mobile phase. Quantification was achieved using matrix-matched standard calibration curves, and the limits of quantification for fenbuconazole and myclobutanil enantiomers in strawberry were both 2 μg/kg. The method was successfully utilized to investigate the probable enantioselective degradation of fenbuconazole and myclobutanil in strawberry. The results showed that the degradation of the fenbuconazole and myclobutanil enantiomers in strawberry followed pseudofirst-order kinetics (R(2) > 0.97). The results from this study revealed that the degradation of fenbuconazole in strawberry was not enantioselective, while the degradation of myclobutanil was enantioselective, and the (+)-myclobutanil showed a faster degradation than (-)-myclobutanil in strawberry, resulting in the relative enrichment of (-)-myclobutanil in residue. The results could provide a reference to fully evaluate the risks of these two fungicides.