Fluctuating salinity effect on Sphoeroides annulatus (Jenyns 1842) physiological responses

Euryhaline fish, such as the Bullseye puffer Sphoeroides annulatus (Jenyns 1842), experience sudden salinity changes in their natural environment, which is more common than the exception, so they must adapt to survive and cope with extreme salt conditions. Therefore, Bullseye puffer juveniles were exposed to short‐term stress (39 hr) by fluctuating salinity conditions (41, 35, 29, 23, 17, 11, 5, 11, 17, 23, 29, 35, 41 psu) with a 3‐hr interval between each point at 26 ± 1ºC in a respirometer chamber and acclimation reservoirs. Responses to oxygen consumption rate (OCR: 23–35 mg O₂ h^–1 kg^–1), ammonium excretion rate (AER: 1–1.85 mg NH4⁺ h^?1 kg^?1), oxygen‐nitrogen atomic ratio (O:N 17–30), osmoregulatory pattern (blood osmotic pressure from 342.4 to 332.8 mmol/kg) and changes in expression levels of Na⁺/K⁺‐ATPase in the gills (higher values at higher salinities) were measured. Although some signs of stress were detected below the iso‐osmotic point (11.4 psu), the puffer fish is a strong euryhaline fish that survives under these conditions. Nonetheless, it could recover when salinity returned to the initial acclimation point because Sphoeroides annulatus is able to live in a wide range of environments with wide natural salinity fluctuations; thus, a common practice in aquaculture has been to expose fish to low salinity for several reasons discussed in this study. This capacity reveals its high plasticity to saline adaptation from 41 to 5 psu an up from 5 to 41 psu, all in less than 2 days.     

基于几何模型的绿萝叶片外部表型参数三维估测

为快速高效获取叶类植物叶片的外部表型参数、掌握植株生长状况，以绿萝叶片为研究对象，提出一种基于几何模型的叶长、叶宽与叶面积的三维估测方法。利用微软Kinect V2相机，自80cm高度垂直位姿获取绿萝叶片局部点云，并进行直通滤波去噪与包围盒精简等预处理，测量得到点云外形参数，输入预先建立的SAE网络分类预测得到几何模型参数，并基于曲面参数方程建立叶片几何模型。采用粒子群优化算法计算几何模型离散点云和局部点云间的空间距离，进行空间匹配，利用遗传算法求解最优匹配模型的内部模型参数，输出最优匹配模型的叶长、叶宽与叶面积作为估测结果。实验共采集150片绿萝叶片的局部点云数据，将估测结果和真实值进行数学统计与线性回归分析，得出叶长、叶宽与叶面积估测的平均误差分别为0.46cm、0.41cm和3.42cm2，叶长估测R2和RMSE分别为0.88和0.52cm，叶宽R2和RMSE分别为0.88和0.52cm，叶面积R2和RMSE分别为0.95和3.60cm2。实验表明，该方法对于绿萝叶片外形参数的估测效果较好，具有较高实用价值。     

秋浦花鳜多元养殖模式关键技术

秋浦花鳜是安徽地方水产优良养殖品种。基于当前秋浦花鳜主要的养殖模式,对相关技术要点进行总结,系统归纳了秋浦花鳜池塘主养、混养,网箱养殖,以及大水面增养殖等多元养殖模式及其关键技术。在不同的养殖模式下,秋浦花鳜均表现出优异的适应性,经济价值及社会价值,可进一步示范应用。     

考虑水文变异的水库生态流量研究

为探讨水文变异对生态流量影响,确定最佳水库生态流量推求方法,针对尼尔基水库生态问题,采用Mann-kendall突变检测法、滑动T检验法和有序聚类法,结合序号总和理论和Spearman相关系数计算对水文时间序列作综合识别,确定水库发生水文变异年份为1963年和1999年。利用NGPRP法和逐月频率年内展布计算法分别计算天然状态、次天然状态、现状和不考虑水文变异条件下最小生态流量和适宜生态流量。参考Tennant法评价结果表明水库生态系统退化主要受人类扰动影响,观察次天然状态和不考虑变异状态下生态径流过程,最小生态流量占多年平均流量百分数相差9.21%和1.70%,适宜生态流量相差3.04%和1.47%。研究应更多考虑次天然生态径流过程,其最小生态流量仅可作为生态流量下限。     

Genetic basis and origin of resistance to acetolactate synthase inhibitors in Amaranthus palmeri from Spain and Italy

BACKGROUND

Amaranthus palmeri is an aggressive annual weed native to the United States, which has become invasive in some European countries. Populations resistant to acetolactate synthase (ALS) inhibitors have been recorded in Spain and Italy, but the evolutionary origin of the resistance traits remains unknown. Bioassays were conducted to identify cross-resistance to ALS inhibitors and a haplotype-based genetic approach was used to elucidate the origin and distribution of resistance in both countries.

RESULTS

Amaranthus palmeri populations were resistant to thifensulfuron-methyl and imazamox, and the 574-Leu mutant ALS allele was found to be the main cause of resistance among them. In two Spanish populations, 376-Glu and 197-Thr mutant ALS alleles were also found. The haplotype analyses revealed the presence of two and four distinct 574-Leu mutant haplotypes in the Italian and Spanish populations, respectively. None was common to both countries, but some mutant haplotypes were shared between geographically close populations or between populations more than 100 km apart. Wide genetic diversity was found in two very close Spanish populations.

CONCLUSION

ALS-resistant A. palmeri populations were introduced to Italy and Spain from outside Europe. Populations from both countries have different evolutionary histories and originate from independent introduction events. ALS resistance then spread over short and long distances by seed dispersal. The higher number and genetic diversity among mutant haplotypes from the Spanish populations indicated recurrent invasions. The implementation of control tactics to limit seed dispersal and the establishment of A. palmeri is recommended in both countries. © 2023 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.     

Target and non-target site mechanisms of fungicide resistance and their implications for the management of crop pathogens

Fungicides are indispensable for high-quality crops, but the rapid emergence and evolution of fungicide resistance have become the most important issues in modern agriculture. Hence, the sustainability and profitability of agricultural production have been challenged due to the limited number of fungicide chemical classes. Resistance to site-specific fungicides has principally been linked to target and non-target site mechanisms. These mechanisms change the structure or expression level, affecting fungicide efficacy and resulting in different and varying resistance levels. This review provides background information about fungicide resistance mechanisms and their implications for developing anti-resistance strategies in plant pathogens. Here, our purpose was to review changes at the target and non-target sites of quinone outside inhibitor (QoI) fungicides, methyl-benzimidazole carbamate (MBC) fungicides, demethylation inhibitor (DMI) fungicides, and succinate dehydrogenase inhibitor (SDHI) fungicides and to evaluate if they may also be associated with a fitness cost on crop pathogen populations. The current knowledge suggests that understanding fungicide resistance mechanisms can facilitate resistance monitoring and assist in developing anti-resistance strategies and new fungicide molecules to help solve this issue. © 2023 Society of Chemical Industry.     

Geographic Information System‐Based Analysis of the Spatial and Spatio‐Temporal Distribution of Zoonotic Cutaneous Leishmaniasis in Golestan Province,North‐East of Iran

Zoonotic cutaneous leishmaniasis (ZCL), a vector‐borne disease, poses serious psychological as well as social and economic burden to many rural areas of Iran. The main objectives of this study were to analyse yearly spatial distribution and the possible spatial and spatio‐temporal clusters of the disease to better understand spatio‐temporal epidemiological aspects of ZCL in rural areas of an endemic province, located in north‐east of Iran. Cross‐sectional survey was performed on 2983 recorded cases during the period of 2010–2012 at village level throughout the study area. Global clustering methods including the average nearest‐neighbour distance, Moran's I, general G indices and Ripley's K‐function were applied to investigate the annual spatial distribution of the existing point patterns. Presence of spatial and spatio‐temporal clusters was investigated using the spatial and space–time scan statistics. For each year, semivariogram analysis and all global clustering methods indicated meaningful persistent spatial autocorrelation and highly clustered distribution of ZCL, respectively. Eight significant spatial clusters, mainly located in north and northeast of the province, and one space–time cluster, observed in northern part of the province and during the period of September 2010–November 2010, were detected. Comparison of the location of ZCL clusters with environmental conditions of the study area showed that 97.8% of cases in clusters were located at low altitudes below 725 m above sea level with predominantly arid and semi‐arid climates and poor socio‐economic conditions. The identified clusters highlight high‐risk areas requiring special plans and resources for more close monitoring and control of the disease.     

时滞recurrent神经网络模型的全局渐近稳定性

讨论了时滞recurrent神经网络模型的全局渐近稳定性,通过构造适当的Lyapuov函数,利用线性矩阵不等式,给出了一类常时滞recurrent神经网络的新的充分条件,所获的稳定性条件是时滞相关的,稳定性判别条件更宽松.最后通过一个实例说明方法的可行性.     

理论生长方程对杉木人工林林分直径结构的模拟研究

理论生长方程在林分直径结构领域的应用具有重要的理论和实践意义。为探寻影响理论生长方程模拟性能好坏的内外机制，从而有所选择和鉴别地使用理论生长方程，本文从林分及方程两个角度出发进行了探讨。结果表明：年龄、立地、密度、间伐强度等因素对Richards等6种生长方程模拟精度影响不明显，而不同方程间的模拟精度差异极明显；林分直径累积分布曲线的拐点存在一个主要区间(0．4～0．6)，生长方程拐点的取值情形与方程模拟精度的大小密切相关，方程最佳拟合曲线的有效拐点区间愈大、拐点精确度愈高，拐点有效性越大，则方程模拟精度越高。