Cohort‐specific variation in juvenile coho salmon habitat use

In this study, we examined summer and fall freshwater rearing habitat use by juvenile coho salmon (Oncorhynchus kisutch) in the quickly urbanising Big Lake drainage in south‐central Alaska. Habitat use was assessed by regressing fish count data against habitat survey information across thirty study sites using generalised linear mixed models. Habitat associations were examined by age‐0 and age‐1+ cohorts separately, providing an opportunity to compare habitat use across different juvenile coho salmon life stages during freshwater rearing. Regression results indicated that the age‐0 cohorts were strongly associated with shallow, wide stream reaches with in‐stream vegetation, whereas age‐1+ cohorts were associated with deeper stream reaches. Furthermore, associations between fork length and habitat characteristics suggest cohort‐specific habitat use patterns are distinct from those attributable to fish size. Habitat use information generated from this study is being used to guide optimal fish passage restoration planning in the Big Lake drainage. Evidence for habitat use partitioning by age cohort during freshwater juvenile rearing indicates that pooling age cohorts into a single “juvenile” stage for the purposes of watershed management may mask important habitat use dynamics.     

A stochastic surplus production model in continuous time

Surplus production modelling has a long history as a method for managing data‐limited fish stocks. Recent advancements have cast surplus production models as state‐space models that separate random variability of stock dynamics from error in observed indices of biomass. We present a stochastic surplus production model in continuous time (SPiCT), which in addition to stock dynamics also models the dynamics of the fisheries. This enables error in the catch process to be reflected in the uncertainty of estimated model parameters and management quantities. Benefits of the continuous‐time state‐space model formulation include the ability to provide estimates of exploitable biomass and fishing mortality at any point in time from data sampled at arbitrary and possibly irregular intervals. We show in a simulation that the ability to analyse subannual data can increase the effective sample size and improve estimation of reference points relative to discrete‐time analysis of aggregated annual data. Finally, subannual data from five North Sea stocks are analysed with particular focus on using residual analysis to diagnose model insufficiencies and identify necessary model extensions such as robust estimation and incorporation of seasonality. We argue that including all known sources of uncertainty, propagation of that uncertainty to reference points and checking of model assumptions using residuals are critical prerequisites to rigorous fish stock management based on surplus production models.     

Stability analysis of seven agronomic traits for soybean [(Glycine max (L.) Merr.] Tokachi nagaha and its derived cultivars using the AMMI model

The stabilities of seven agronomic traits were analyzed and the general stabilities of soybean [Glycine max (L.) Merr.] accessions were evaluated based on the additive main effects and multiplicative interactions (AMMI) model using the founder parent Tokachi nagaha and 137 of its derived cultivars as materials. The objective was to provide a theoretical basis for effectively using germplasm in soybean breeding and production. Analysis of variance (ANOVA) showed that genotype, environment, and genotype by environment interactions were significantly different for each trait. The first three interaction principal components axes (IPCA) were highly significant, accounting for 61.28–70.00% of the total variation. The stability differed for the different traits. 50 cultivars with high general stabilities were identified. The general stability of Tokachi nagaha was moderate, as the stability coefficients (D_i) of its seven traits were relatively high; this must be considered by breeders using this cultivar as a breeding parent. There were significant positive correlations between the phenotypic values and their own D_i values for number of branches per plant, number of pods per plant, number of seeds per plant, and seed weight per plant. This would lead to the expectation that the phenotypic stability would be lower when a cultivar had more branches, pods, seeds, and high per plant yields. Thus, it appears difficult to breed cultivars that simultaneously have high yields and high stability.     

基于ARIMA模型的我国大豆单产预测分析

在我国大豆单产光合潜力和"农业生态区划"(AEZ)潜力基础上,运用ARIMA(自回归单整移动平均)模型预测了2020年前我国大豆单产。结果表明:我国大豆单产最大潜力为3 400 kg·hm~(-2),而2017、2018、2019和2020年单产将分别为1 899,1 926,1 954和1 982 kg·hm~(-2),分别是最大潜力的55.85%、56.65%、57.47%和58.29%。这意味着:未来提高我国大豆单产尚有较大空间,应保持高产耕地生产力与改良中低产田土并重。研究结果旨在为我国大豆生产提供决策参考信息。     

斑节对虾Toll9受体基因免疫功能的研究与表达分析

Toll受体蛋白(Toll receptors)是一类重要的模式识别受体,在无脊椎动物先天性免疫系统中发挥重要作用。文章对斑节对虾(Penaeus monodon)新型Toll9受体基因(Pm Toll9)进行了研究:以人源胚胎肾细胞(HEK293T)成功构建体外细胞免疫模型,通过免疫印迹方法证实Pm Toll9重组真核蛋白可在HEK293T中成功表达。双荧光素酶报告系统检测发现在200 ng转染浓度处Pm Toll9对NF-κB报告基因的激活效果显著。q RT-PCR数据证明PmToll9成功激活HEK293T细胞Toll-like receptor(TLR)信号通路,促进通路下游髓样分化因子(My D88)、肿瘤坏死因子(TNF-α)和白介素(IL-10)的上调表达,同时酶联免疫吸附测定结果证明Pm Toll9可促进TNF-α蛋白表达水平显著上调。斑节对虾体内细菌刺激实验结果显示无乳链球菌(Streptococcus agalactiae)可激活Pm Toll9在肝胰腺、肠、淋巴和鳃中的表达,哈维氏弧菌(Vibrio harveyi)可显著抑制Pm Toll9在肝胰腺中的表达。提示无乳链球菌可通过Pm Toll9激活Toll信号通路,引起机体免疫防御反应,而哈维氏弧菌对此过程具有一定的抑制作用。     

基于YOLO v3与图结构模型的群养猪只头尾辨别方法

在利用视频监控技术对群养猪只进行自动行为监测时,对猪只准确定位并辨别其头尾位置对提高监测水平至关重要,基于此提出一种基于YOLO v3(You only look once v3)模型与图结构模型(Pictorial structure models)的猪只头尾辨别方法。首先,利用基于深度卷积神经网络的YOLO v3目标检测模型,训练猪只整体及其头部和尾部3类目标的检测器,从而在输入图像中获得猪只整体及头尾部所有的检测结果;然后,引入图结构模型,描述猪只的头尾结构特征,对每个猪只整体检测矩形框内的头尾部位组合计算匹配得分,选择最优的部位组合方式;对部分部位漏检的情况,采取阈值分割与前景椭圆拟合的方法,根据椭圆长轴推理出缺失部位。在实际猪场环境下,通过俯拍获得猪舍监控视频,建立了图像数据集,并进行了检测实验。实验结果表明,与直接利用YOLO v3模型相比,本文方法对头尾定位的精确率和召回率均有一定提高。本文方法对猪只头尾辨别精确率达到96.22%,与其他方法相比具有明显优势。     

Hybrid breeding for biomass yield in winter triticale: II. Combining ability and hybrid prediction

Accurate hybrid prediction and knowledge about the relative contribution of general (GCA) and specific combining ability (SCA) are of utmost importance for efficient hybrid breeding. We therefore evaluated 91 triticale single-cross hybrids in field trials at seven environments for plant height, heading time, fresh biomass, dry matter content and dry biomass. Fresh and dry biomass showed the highest proportion (23%) of variance due to SCA. Prediction accuracies based on GCA were slightly higher than based on mid-parent values. Utilizing parental kinship information yielded the highest prediction accuracies when both parental lines have been tested in other hybrid combinations, but still moderate-to-low prediction accuracies for two untested parents. Thus, hybrid prediction for biomass traits in triticale is currently promising based on mid-parent values as emphasized by our simulation study, but can be expected to shift to GCA-based prediction with an increasing importance of GCA due to selection in hybrid breeding. Moreover, the performance of potential hybrids between newly developed lines can be predicted with moderate accuracy using genomic relationship information.     

王正非林火蔓延模型改进研究

王正非林火蔓延模型是目前国内比较先进的森林火灾蔓延模型,但是由于林火行为的复杂性,此模型在准确率和普适性方面仍存在许多不足。本文结合已有的成果进一步改进王正非模型,增加了可燃物湿度对林火蔓延速度的影响,改进了林火初始速度的计算方式。针对各种坡度对林火蔓延行为的影响给出了一个计算公式。与改进前相比,改进后的模型使其对林火蔓延情况的预估更为精准。     

基于GIS与RS的北方防沙屏障带生态系统格局演变

研究北方防沙屏障带生态系统格局演变特征,对加强屏障带建设、改善生态环境具有重要意义。以北方防沙屏障带为研究区,根据2005、2010、2015年MODIS遥感影像,将北方防沙屏障带生态系统类型划分为森林、草地、湿地、农田、城镇、荒漠和裸地7类。采用空间统计、转移矩阵、景观指数分析法、PNTIL模型等方法,对北方防沙屏障带2005—2015年生态系统类型时空演变特征进行分析。结果表明,2005—2015年北方防沙屏障带生态系统整体呈稳定状态;从分屏障带看,内蒙古防沙屏障带荒漠面积明显减少,塔里木防沙屏障带森林面积迅速增加,而河西走廊防沙屏障带草地面积明显增加;从正/逆转换方向来看,屏障带内农田、城镇、荒漠及裸地生态系统正向转换率高于逆向转换率。10年间,在景观水平上,北方防沙屏障带斑块数量、斑块密度呈减少趋势;在类型水平上荒漠景观整体呈现破碎化萎缩的趋势特征,森林、草地向形状简单化的方向发展。研究表明,2005—2015年,北方防沙屏障带生态总体向好,治沙效果明显,但局部仍面临较大压力。