苹果茎沟病毒 (apple stem grooving virus, ASGV) 是一种重要的潜隐类果树病毒，对柑橘、梨和苹果等多种果树的生产构成了严重的威胁。2018年，在中国南方广泛种植的黄金蜜柚 (Citrus grandis cv. Huangjinmiyou) 上观察到了严重的黄化、斑驳和花叶症状，推测其可能由病毒引起。取5株表现相关症状果树的叶片样品构建混库并送高通量测序分析，从其中鉴定到了3个ASGV变异体，通过RT-PCR和RACE技术验证了其基因组序列。序列分析显示，这3个变异体的基因组核苷酸序列一致性为81.03%–82.34%，其基因组结构与过往报道的侵染其它果树的变异体类似。基于病毒全基因组核苷酸序列和外壳蛋白氨基酸序列的系统发育分析显示，3个黄金蜜柚ASGV变异体分别与来自不同寄主和地区的ASGV变异体聚在一枝。重组分析显示，3个ASGV变异体可能来自于ASGV不同株系间的重组。在全国11个主要柑橘种植省份采集了507份黄金蜜柚样品进行RT-PCR检测发现，在每个省份表现上述相关症状的样品中，ASGV的检出率均在92.7%以上，而在40份没有症状的样品中，均未检测到ASGV。将其中6个省份的感病样品嫁接到ASGV的指示植物——Rusk枳橙上，新生的系统叶表现出典型的碎叶症状，进一步验证了黄金蜜柚中ASGV的侵染。进一步探究了病毒和症状与温度的关系，发现嫁接的感病黄金蜜柚样品在30°C–35°C条件下症状消失，同时RT-PCR也检测不到ASGV的存在。而后，再将其置于20°C–24°C的条件下一段时间后，黄金蜜柚症状恢复，且ASGV可以由RT-PCR检测到。本文揭示了黄金蜜柚黄化斑驳花叶病与ASGV侵染的相关性，并提示了该病害大面积流行的风险，为进一步的病害防控提供了相应参考。

Citrus leaf blotch virus (CLBV) is a member of the genus Citrivirus, in the family Betaflexiviridae.  It has been reported CLBV could infect kiwi, citrus and sweet cherry in China.  Of 289 citrus samples from six regions of China, 15 were detected to be infected with CLBV in this study.  The complete genome of four isolates of CLBV was obtained from Reikou in Sichuan (CLBV-LH), Yura Wase in Zhejiang (CLBV-YL), Bingtangcheng in Hunan (CLBV-BT), Fengjie 72-1 in Chongqing (CLBV-FJ), respectively.  While they all represented 8 747 nucleotides in monopartite size, excluding the poly(A) tail, each of the isolates coded three open reading frames (ORFs).  Identity of the four isolates ranged from 98.9 to 99.8% to each other and from 96.8 to 98.1% to the citrus references in GenBank by multiple alignment of genomes.  A phylogenetic tree based on the genome sequences of available CLBV isolates indicated that the four isolates were clustered together, suggesting that CLBV isolates from citrus in China did not have obvious variation.  This is the first report of the complete nucleotide sequences of CLBV isolates infecting citrus in China.

Leaf area index (LAI) is a key parameter for describing vegetation structures and is closely associated with vegetative photosynthesis and energy balance.  The accurate retrieval of LAI is important when modeling biophysical processes of vegetation and the productivity of earth systems.  The Random Forests (RF) method aggregates an ensemble of decision trees to improve the prediction accuracy and demonstrates a more robust capacity than other regression methods.  This study evaluated the RF method for predicting grassland LAI using ground measurements and remote sensing data. 
Parameter optimization and variable reduction were conducted before model prediction.  Two variable reduction methods were examined: the Variable Importance Value method and the principal component analysis (PCA) method.  Finally, the sensitivity of RF to highly correlated variables was tested.  The results showed that the RF parameters have a small effect on the performance of RF, and a satisfactory prediction was acquired with a root mean square error (RMSE) of 0.1956.  The two variable reduction methods for RF prediction produced different results; variable reduction based on the Variable Importance Value method achieved nearly the same prediction accuracy with no reduced prediction, whereas variable reduction using the PCA method had an obviously degraded result that may have been caused by the loss of subtle variations and the fusion of noise information.  After removing highly correlated variables, the relative variable importance remained steady, and the use of variables selected based on the best-performing vegetation indices performed better than the variables with all vegetation indices or those selected based on the most important one.  The results in this study demonstrate the practical and powerful ability of the RF method in predicting grassland LAI, which can also be applied to the estimation of other vegetation traits as an alternative to conventional empirical regression models and the selection of relevant variables used in ecological models.

The purpose of the study was to investigate the pharmacokinetics of cefquinome in plasma and milk samples of lactating Chinese Holstein following a single intramammary administration into one quarter at the dose of 75 mg. Residue depletion of cefquinome in milk administrated at one quarter following three consecutive infusions at the same dose were also carried out. Cefquinome concentrations in plasma and milk were determined by high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) method. A non-compartmental analysis was used to obtain the pharmacokinetic parameters of cefquinome. Following the single treatment, cefquinome wasn’t detected in any of the plasma samples. The concentration of cefquinome in milk reached peaked values (Cmax) of (599.00±322.00) μg mL-1 at 2 h after administration (Tmax), elimination half-life (t1/2λz) was (4.63±0.26) h, area under the concentration-time curve (AUC0-∞) was (4 890.19±1 906.98) μg mL-1 h, and mean residence time (MRT) was (6.03±2.27) h. In residue depletion study, cefquinome concentrations in 5 out of 6 milk samples at 72 h were lower than the maximum residue limit fixed by the European regulatory agency (20 μg kg-1 for cefquinome) and cefquinome still could be detected in milk of treated quarters at 120 h post-treatment. The maximum concentration (Cmax) of cefquinome in milk from treated quarters was (486.50±262.92) μg mL-1 and arrived at 6 h after administration (Tmax), elimination half-life (t1/2λz) was (6.30±0.76) h, area under the concentration-time curve (AUC0-∞) was (44747.79±11434.43) μg mL-1 h, and mean residence time (MRT) was (10.09±1.40) h. This study showed that cefquinome has the feature of poor penetration into blood and was eliminated quickly from milk in lactating cows after intramammary administration.

The present study was carried out to investigate the pharmacokinetics of mequindox (MEQ), a new synthetic quinoxaline 1,4-dioxide derivative and its two main metabolites M1 [2-isoethanol mequinoox], M2 [2-isoethanol 1-desoxymequindox] in healthy swine. MEQ (10 mg kg-1 body weight) was administered to nine healthy cross-bread swine via oral, intramuscular, and intravenous routes in a randomized 3×3 crossover design with a 1-wk washout period. A sensitive high-performance liquid chromatography (HPLC) method was used for the determination of plasma concentrations of MEQ and its metabolites M1 and M2. Plasma concentration versus time profiles of MEQ and its metabolites, M1 and M2, were analyzed by noncompartmental analysis using WinNonlin 5.2 software. The mean maximum concentrations (Cmax) of M1 and M2 after intravenous administration of MEQ were (5.27±1.59) μg mL-1 at 1.78 h and (1.01±0.29) μg mL-1 at 0.92 h, respectively. The mean maximum concentrations (Cmax) of MEQ, M1, and M2 were found to be (6.96±3.23), (6.61±1.56), and (0.78 ±0.25) μg mL-1, respectively at 0.15, 1.61, and 1.30 h after intramuscular administration of MEQ, respectively and (0.75±0.45), (6.90±1.52), and (0.62±0.21) μg mL-1, respectively at 0.40, 1.57, and 2.00 h, respectively after oral administration of MEQ. The apparent elimination half-lives (t1/2) of MEQ, M1, and M2 were (0.84±0.35), (7.57±3.93), and (9.56±6.00) h, respectively after intravenous administration of MEQ; (0.50±0.25), (6.30±3.00), and (5.94±2.54) h, respectively after intramuscular administration of MEQ; and (1.64±1.17), (5.59±1.93), and (16.25±10.27) h , respectively after oral administration of MEQ. The mean areas under the plasma concentration-time curve (AUC0- ) of MEQ, M1, and M2 were (4.88±1.54), (36.93±17.50), and (5.16±1.94) μg h mL-1, respectively after intravenous administration of MEQ; (4.18±0.76), (48.25±20.82), and (4.88±2.21) μg h mL-1 , respectively after intramuscular administration of MEQ; and (1.01±0.40), (48.83±20.71), and (5.54±2.23) μg h mL-1, respectively after oral administration of MEQ. MEQ was rapidly absorbed and metabolized in swine after oral, intramuscular, and intravenous administration. Further studies are required to investigate the double-peak phenomenon observed in the plasma concentration-time profile after oral administration and the pharmacokinetics of other metabolites of MEQ.