现代雨水利用技术研究进展与研发重点

具有工程化、科技化、规模化内涵的现代雨水利用技术是现代节水农业技术的重要研究内容,已成为缓解干旱缺水,实现农业高效用水,降低常规农业用水量的有效措施。在分析现代雨水利用技术研究进展及其发展趋势基础上,指出现代雨水利用技术是传统雨水利用技术与新材料技术、现代生物技术、现代信息技术、现代灌溉工程技术等高新技术相结合的产物,具有多学科相互交叉、各单项技术相互渗透的明显特征。在此基础上,提出了近中期现代雨水利用技术研发的重点,即以重大前沿性技术研究为基础,研发与雨水利用相关的重要关键技术与产品,探索建立适宜的现代雨水高效利用技术体系。     

间接地下滴灌导水装置规格参数模型研究

根据灌水过程中质量守恒原理建立了导水装置规格(直径,高度)参数求解模型,该模型中综合考虑了滴头流量、灌水定额、土壤水力特性参数以及活动水位等因素对导水装置规格的影响。通过室内恒定水头积水入渗试验的设计和研究,定量化了土壤水力特性参数对导水装置规格参数模型的作用,并研究了导水装置内水位深度的动态变化规律。结果表明,当忽略导水装置内积水深度的动态变化对土壤水力特性参数的影响时,与一维垂直入渗规律相似,导水装置内积水入渗累计入渗量与时间的关系可用菲利普公式进行拟合,但在土壤类型一定时,间接地下滴灌的参数渗吸系数S和稳定入渗速率if还与土壤上方的积水面积有关。当滴头流量大于土壤入渗速率时,导水装置内开始产生积水,且积水深度处于不断上升的过程。该模型的建立为间接地下滴灌导水装置规格的选取提供了理论指导。     

2BMFS200免耕播种机主要部件设计与试验研究

根据保护性耕作技术的推广要求,研制和生产新型免耕播种机势在必行.2BMFS200型播种机适合新的种植模式,能实现宽苗带播种,保证播深一致,作业效率高,有大面积推广使用的价值.     

加强标准化在现代农业中的作用

现代农业具有社会化、集约化、机械化等特征,且广泛地应用了现代科学技术,注重生态系统的保护和可持续发展.现代农业的上述特征推动了标准化大生产的产生,提出了实施现代农业标准化建设的有效途径,以及现阶段我国农业标准化建设内容.     

Genetic variations in survival of rohu carp (Labeo rohita, Hamilton) after Aeromonas hydrophila infection in challenge tests

A challenge test against Aeromonas hydrophila was conducted using 2062 rohu carp (Labeo rohita) fingerlings obtained from 52 dams and 87 sires (87 full-sib families) of two year-classes (2003 and 2004). Attempts to establish a cohabitant challenge model were not successful. Therefore, fish were challenged by intraperitoneal injection with A. hydrophila in two replicate tanks per year-class, and dead fish were collected hourly. The mortality reached its peak at 16–22 h after challenge and had almost completely stopped after 58 h. The test was terminated after 382 h at which the average survival was 43.9 and 48.9% in the two 2003 year-class tanks, and 77.1 and 35.8% in the two 2004 year-class tanks. Heritability estimates for survival were obtained from sire and dam threshold models (THR) and sire and dam linear repeatability models (LINR). For both types of models the heritability estimates based on data from single tanks were not consistent. For both year-classes, data from one of the two challenged tanks demonstrated significant additive genetic variation in survival during the A. hydrophila infection, whereas the heritability estimates were not significantly different from zero for the other tank. Further, genetic correlation between survivals in the two replicate tanks in each year-class was not significantly different from zero. The differential results from the replicate tanks demonstrate that additional challenge test experiments are needed before firm conclusions can be drawn about the magnitude of additive genetic variation for survival to aeromonasis in rohu carp. A cohabitant challenge model that allows the testing of important defence mechanisms in the skin and mucous membranes of the fish might have been more appropriate. To establish a valid cohabitant challenge model for rohu carp should be given high priority.     

Application of the Tweedie distribution to zero-catch data in CPUE analysis

We focus on the zero-catch problem of CPUE (catch per unit effort) standardization. Because the traditional CPUE model with a log-normal error structure cannot be applied in this case, three methods have often been utilized as follows:

(1) Ad hoc method adds a small constant value to all response variables.

(2) Catch model with a Poisson or negative-binomial (NB) error structure.

(3) Delta-type two-step method such as the delta-normal model (after estimating the ratio of zero-catch using a logit or probit model, a model such as CPUE log-normal or Catch-Poisson is applied to CPUE without zero-data).

However, there are some statistical problems with each of these methods.In this paper, we carried out the CPUE standardization mainly using the Tweedie distribution model based on the actual by-catch data (silky shark, Carcharhimus falciformis, in the North Pacific Ocean caught by Japanese training vessels) including many observations with zero-catch (>2/3rd) and tuna fishery data as a target (yellowfin tuna, Thunnus albacares, in the Indian Ocean caught by Japanese commercial vessels) where the ratio of zero-catch is not so high (<1/3rd). The Tweedie model is an extension of compound Poisson model derived from the stochastic process where the weight of the counted objects (i.e., number of fish) has a gamma distribution and has an advantage of handling the zero-catch data in a unified way.We also compared four candidate models, the Catch-NB model, ad hoc method, Delta-lognormal model (delta-type two-step method) and Tweedie distribution, through CPUE analyses of actual fishery data in terms of the statistical performance. Square error and Pearson's correlation coefficient were calculated based on the observed CPUE and the corresponding predicted CPUE using the n-fold cross-validation.As a result, the differences in the trend of CPUE between years and model performance between the ad hoc method and Tweedie model were found to be not so large in the example of yellowfin tuna (target species). However, the statistical performance of Tweedie distribution is rather better than Delta-lognormal model, the Catch-NB distribution and ad hoc method in the example of silky shark (by-catch species). Standardized CPUE year trend of ad hoc method was found to be quite different from that of the Tweedie distribution and other two models. Model performance of the Tweedie distribution is good judging from the 5-fold cross-validation using the fishery data if including many zero-catch data such as by-catch species.     

Differences in swimbladder volume between Baltic and Norwegian spring-spawning herring: Consequences for mean target strength

Fish swimbladders, where present, contribute most to the scattering of sound by fish, as measured by the target strength (TS). The volumes of the swimbladders of two different European stocks of Atlantic herring were compared to consider the effect on estimates of TS. Swimbladder volumes of Baltic and Norwegian spring-spawning herring (Clupea harengus) were measured, together with individual herring fat content. Swimbladder volumes were found to differ significantly between the two herring stocks. Baltic herring have a larger swimbladder volume, which is suggested to be associated with the fish's low fat content, which in turn may be linked to its specific energy budget and the low salinity of the Baltic Sea. A buoyancy model that considered the different salinity conditions and fat proportions was used to evaluate the observed differences in swimbladder volume. The swimbladder volume data were subsequently used to model the mean target strength as a function of depth and growth pattern. Backscattering of the swimbladder was modelled using the modal-series-based deformed-cylinder model (MSB-DCM), describing the swimbladder as a gas-filled, elongated prolate spheroid. The fish body component was modelled as a fluid-filled ellipsoid using the distorted wave Born approximation (DWBA). Modelling results support a different TS-to-size relationship for Baltic herring, with a stronger echo, due to the larger swimbladder. Depth- and length-dependent TS relationships based on the model results are suggested.     

Verification of mean volume backscattering strength obtained from acoustic Doppler current profiler by using sound scattering layer

ABSTRACT:   Acoustic Doppler current profilers (ADCPs) have recently been used to estimate the dynamic characteristics and biomass of sound scattering layers (SSLs) or swimming speed of fish schools and to analyze SSL spatial distribution or various behavior patterns. This paper shows that it is necessary to verify mean volume backscattering strength (MVBS, dB) values acquired from each beam for quantitative analysis of the spatial distribution or the biomass estimates of such specific targets as SSL or a fish school when using an ADCP. In this study, the SSL was selected to be a homogeneous density layer over a large area and two methods were used to verify the MVBS values from each beam of the ADCP. First, a mutual comparison among four beams was conducted after calculating MVBS from the measured echo intensity. Second, the MVBS values were verified using comparison between the calculated MVBS from the 153.6 kHz ADCP and MVBS from three frequencies of a well-calibrated scientific echosounder. Moreover, the dominant scatterers (euphausiids) were collected by a framed midwater trawl. From these samples, biological data were used to identify the different frequency characteristics between two systems, using a distorted-wave Born approximation (DWBA) theoretical backscattering model in order to assess the averaged target strength and target strength TS differences for the three frequencies.     

Evaluation of fertilizing capacity of cryopreserved rainbow trout sperm

ABSTRACT:   Experimental insemination was performed using artificially produced low-motility sperm. A mathematical model was applied to the results of the insemination in order to clarify the relationship between sperm motility, the density of sperm and the fertilization rate of eggs. In the model, the probability of fertilization by individual spermatozoa was a function of sperm density in the insemination solution. The results showed that the probability of fertilization clearly decreased with increased sperm density, and the maximum possible fertilizing rate by increasing the sperm density was constrained by the proportion of motile sperm (% motility). The model was also applied to the results of insemination tests of cryopreserved sperm in order to evaluate the fertilizing capacity of cryopreserved sperm. It was proven that cryopreserved sperm needed a higher density to obtain the maximum fertilization rate compared with fresh sperm, and it was anticipated that the ratio of the motile inseminated cryopreserved sperm should be more than 5.0% to achieve an egg fertilization rate greater than 90%.     

影响池养鳜健康的关键水生态因子

池塘生态系统是一个动态、多因素、非典型的复杂系统,用单因素统计法难以研究池塘养殖中的生态问题.在16口鳜养殖塘进行试验(总面积为4.7 hm2),每两周采样一次,获取鳜健康指标和pH、铵氮、硝酸盐氮、二氧化碳、总碱度、镁和细菌总数等17项水生态因子的87组监测数据,并对数据进行数理统计,研究探讨用权重因子、偏回归平方和、F检验值和相关系数等统计量优化进入鳜健康模型的因子.在满足一定准确度条件下,优选出用pH、铵氮、硝酸盐氮、二氧化碳、总碱度、镁浓度和细菌总数等7项因子为自变量,利用回归技术,求出它们与鳜健康指标(y)的关系模型为的非线性模型,模型的预报准确率为92.4%.借助所得模型进一步推导出对鳜健康指标影响由大到小的因子是细菌总数、二氧化碳、pH、铵氮,他们的最佳取值范围依次为(13～27)×104 cfu·L-1、小于3 mL·L-1、7.5～8.0、0.5 mL·L-1.