基于权重分析和GAM模型的秋刀鱼舷提网作业性能影响因素

网衣沉降深度和纲索提升速度是衡量秋刀鱼舷提网网具捕捞效果的重要指标。本文根据2016年7-10月和2017年6-10月蓬莱京鲁渔业有限公司“鲁蓬远渔019”在西北太平洋进行的海上秋刀鱼舷提网网具性能测试试验中收集的作业参数、网具深度以及海洋环境等信息,结合提升回归树模型(Boosting Regression Tree, BRT)权重分析结果,基于广义可加模型(Generalized Additive Models, GAM)探讨各因素对舷提网网具作业状态的影响,分析影响因子与舷提网主要性能参数的关系。结果表明：(1) 影响网具最大沉降深度的因素中,权重在前4位的为30m水层流速(20.15%)、60m水层流速(18.92%)、下纲松放长度(16.85%)和10m水层流速(15.52%);影响提升速度的前4位影响因子为绞网速度(23.17%)、30m水层流速(20.05%)、10m水层流速(18.27%)以及60m水层流速(16.26%)。(2) 30m水层流速、60m水层流速以及下纲松放长度对网衣最大沉降深度的影响显著(P<0.05),网衣最大沉降深度与各水层流速呈负相关关系,与下纲松放长度呈正相关关系;绞网速度和水层流速(10m、30m和60m)均显著影响绞网速度(P<0.05),提升速度与绞网速度呈正相关关系,与水层流速呈负相关关系,绞网速度是影响网具提升速度最重要的因素,其次是30m水层流速、10m水层流速和60m水层流速。     

中草药添加剂对育肥猪的增重效果研究

用首乌、麦芽、黄芪、神曲、丹皮和柏子仁组成的中草药添加剂,对试验组的育肥猪按饲喂日粮的4%添加,3次d,共喂80d。结果表明:在试验期内试验组平均增重50kg,对照组平均增重41kg,试验组平均比对照组多增重9.0kg(P<0.01),经济效益明显。     

Joint action of natural and synthetic photosystem II inhibitors

The inhibitory action on photosystem II of four sorgoleone analogues, isolated from Sorghum bicolor (L) Moench, and two synthetic inhibitors, diuron and bentazone, was tested by measuring oxygen evolution of thylakoid membranes. The inhibition of oxygen evolution for mixtures of inhibitors was compared with the Additive Dose Model (ADM). ADM assumes that, at a defined response level, the effect of a mixture of inhibitors can be unambiguously expressed by the potency of either of the inhibitors applied separately. The slope of the logistic dose-response curves differed between the inhibitors; sorgoleone analogues had the steepest and bentazone the shallowest slope. The difference in slopes makes the interpretation of the isoboles less general and may reflect the differences in the interaction between the natural and the synthetic inhibitors with the binding site. The results suggest that there may be some limitation to ADM, namely that compounds with the same site of action might have different response curves if their mechanism of binding is different. The joint action of inhibitors follows ADM at I₅₀ . Therefore, the inhibitors can replace each other in any mixture ratio, based on the relative potencies of the pure inhibitors, without changing each other's effect on oxygen evolution. The joint action at I₂₀ and I₈₀ sometimes diverged from ADM. © 1999 Society of Chemical Industry     

Habitat analysis of the commercial tuna of the Eastern Tropical Pacific Ocean

We have extracted information on the habitats of bigeye (Thunnus obesus), skipjack (Katsuwonus pelamis) and yellowfin (Thunnus albacares) in the Eastern Tropical Pacific Ocean by matching the spatial‐temporal distribution of catch and effort of purse seine and longline fleets collected by the Inter‐American Tropical Tuna Commission with oceanographic conditions and subjecting the matched data to Quotient Analysis and General Additive Models (GAMs). These analyses yielded the following results. The habitats defined by the GAM analysis of young fish differ significantly between two periods, one before and one after the introduction of fish aggregation devices (FADs). This was not true for the older fish caught by longline. We speculate that these changes were caused by the extensive use of FADs. Younger bigeye and yellowfin caught by the purse seine fleet have a different preference of environmental variables compared to older fish caught by longline. This is to be expected since tuna of different age groups have different sizes, metabolic capabilities and swimming skills. Moreover, as revealed by GAMs, the habitats of young fish differ between species to a much larger degree than those of older fish. Our results indicate the fundamental differences between fishing methods, targeted species, and operating region of the two fisheries. Specifically, young bigeye occupy equatorial waters farther from the coast and where the hypoxic layer is deeper, young skipjack occupy more productive waters associated with equatorial and coastal upwelling, and young yellowfin occupy broad areas where waters are underlain by a shallow hypoxic layer.     

Fit of Wood's function to daily milk records and estimation of environmental and additive and non-additive genetic effects on lactation curve and lactation parameters of crossbred dual purpose cattle

The objectives of this study were to estimate the environmental and additive and non-additive genetic effects on lactation curve and lactation parameters of crosses of Holstein (H), Brahman (B) and Brown Swiss (BS) in Olancho region in Honduras. The data consisted of 54,517 milk yield records from 192 dual-purpose crossbred cows lactating from 2000 to 2005 at the Universidad Nacional de Agricultura de Honduras (UNA). The lactation curve and lactation parameters of interest were the scaling factor to represent yield at the beginning of lactation (a), the factor associated with the inclining (b) and declining (c) slopes of the lactation curves, and the milk yield at initial day of lactation (MY₂₀), peak milk yield (MY_max), day at peak milk yield (t_max), and the total milk yield (TM) per lactation, respectively. The incomplete gamma function (Wood function) was used to estimate lactation curve and lactation parameters from daily milk records of H × B, H × BS and BS × B crossbred cows. The environmental, additive and non-additive genetic effects on lactation curve and lactation parameters were estimated using Dickerson and Kinghorn models. The coefficients of determination of fitness of Wood's function (R²) ranged from 80% to 97% with an average of 93%. The lactation curve of the crossbred cows was similar to those reported for dairy cows grazing in the tropics. Lactation parameters such as MY_max, t_max and TM were significantly (P < 0.05) influenced by environmental sources of variation suggesting the necessity of differential management strategies. The moderate to large positive phenotypic correlation of MY_max and TM indicate that one of the milk yield parameters could be used as a selection criterion to improve either one or both traits. Despite the fact that both genetic models showed similar patterns, the absolute value of the parameters varied. For both models, individual additive genetic breed effect for H breed were significant (P < 0.05) and contributed more to TM than the BS breed. In the Dickerson model, highly positive significant (P < 0.01) effect on TM for H×BS and BS×B crosses was found. The Kinghorn model did not show significant effects of dominance on this parameter. The estimate of recombination effect for all crosses involving B breed were negative and significant (P < 0.05) for positive correlated lactation curve parameters. Although the inclusion of non-additive effects on crossbreeding genetic effects were not all significant for lactation curve and lactation parameters, non-additive effects should be taken into account to improve the Honduran dairy cattle production management.     

Dominance genetic and maternal effects for genetic evaluation of egg production traits in dual-purpose chickens

• 1.?A study was conducted to study direct dominance genetic and maternal effects on genetic evaluation of production traits in dual-purpose chickens. The data set consisted of records of body weight and egg production of 49 749 Mazandaran fowls from 19 consecutive generations. Based on combinations of different random effects, including direct additive and dominance genetic and maternal additive genetic and environmental effects, 8 different models were compared.

• 2.?Inclusion of a maternal genetic effect in the models noticeably improved goodness of fit for all traits. Direct dominance genetic effect did not have noticeable effects on goodness of fit but simultaneous inclusion of both direct dominance and maternal additive genetic effects improved fitting criteria and accuracies of genetic parameter estimates for hatching body weight and egg production traits.

• 3.?Estimates of heritability (h²) for body weights at hatch, 8 weeks and 12 weeks of age (BW0, BW8 and BW12, respectively), age at sexual maturity (ASM), average egg weights at 28–32 weeks of laying period (AEW), egg number (EN) and egg production intensity (EI) were 0.08, 0.21, 0.22, 0.22, 0.21, 0.09 and 0.10, respectively. For BW0, BW8, BW12, ASM, AEW, EN and EI, proportion of dominance genetic to total phenotypic variance (d²) were 0.06, 0.08, 0.01, 0.06, 0.06, 0.08 and 0.07 and maternal heritability estimates (m²) were 0.05, 0.04, 0.03, 0.13, 0.21, 0.07 and 0.03, respectively. Negligible coefficients of maternal environmental effect (c²) from 0.01 to 0.08 were estimated for all traits, other than BW0, which had an estimate of 0.30.

• 4.?Breeding values (BVs) estimated for body weights at early ages (BW0 and BW8) were considerably affected by components of the models, but almost similar BVs were estimated by different models for higher age body weight (BW12) and egg production traits (ASM, AEW, EN and EI). Generally, it could be concluded that inclusion of maternal effects (both genetic and environmental) and, to a lesser extent, direct dominance genetic effect would improve the accuracy of genetic evaluation for early age body weights in dual-purpose chickens.

     

碳酸氢钠添加剂对荷斯坦奶牛产奶量的影响

选择体重、胎次、泌乳期、乳脂率和产奶量基本一致的健康无病荷斯坦奶牛12头,随机分成四组,每组3头,即试验1组,试验2组,试验3组和对照组,在试验组奶牛的混合精料中分别添加碳酸氢钠50g／头,100g／头,150g／头。试验前后相比,试验组与对照组的产奶量都呈下降趋势,1组,2组,3组与对照组的产奶量分别下降了1．95kg,1．47kg,2．17kg,3．73kg,Ⅰ组,2组,3组与对照组相比,乳脂率、4％标准乳分别提高了3．82％,5．88％,5．00％,10．54％（P〈0．05）,12．60％（P〈0．01）8．36％（P〈0．05）。     

加和法与一步法测定固体废弃物中的总氮

[目的]研究固体废弃物总氮测定方法。[方法]对固体废弃物样品采用加和法、一步法测定其总氮含量,并对2种方法进行了对比。[结果]通过样品测试数据的比较,表明加和法测得的铵态氮和硝态氮之和与一步法所测总氮含量一致,加和法的RSD低于2.92%,一步法的RSD低于1.53%;加和法样品回收率为94.5%～102.9%,一步法样品回收率为95.8%～101.4%。[结论]2种方法的精确度和准确度均满足质控要求。相比之下,一步法精确度更高、回收效果更好。 更多还原     

舍饲子午岭黑山羊饲料中添加中草药饲喂效果探析

在子午岭黑山羊精料混合料中添加苍术、陈皮、大青叶、白头翁、黄芪、马齿苋、车前草、甘草、五味子组成的中草药添加剂,其添加比例分别是3.0%、2.0%和1.0%,羊只分别比对照组增重21.1%、24.1%及21.1%,均差异显著（P〈0.05）,其中添加2.0%的效果最佳。     

Characterizing environmental and spatial variables associated with the incidental catch of olive ridley (Lepidochelys olivacea) in the Eastern Tropical Pacific purse‐seine fishery

In the Eastern Tropical Pacific (ETP), a region of high fishing activity, olive ridley (Lepidochelis olivacea) and other sea turtles are accidentally caught in fishing nets with tuna and other animals. To date, the interaction between fishing activity, ocean conditions and sea turtle incidental catch in the ETP has been described and quantified, but the factors leading to the interaction of olive ridleys and fishing activity are not well understood. This information is essential for the development of future management strategies that avoid bycatch and incidental captures of sea turtles. We used Generalized additive models (GAM) to analyze the relationship between olive ridley incidental catch per unit effort (iCPUE) in the ETP purse‐seine fisheries and environmental conditions, geographic extent and fishing set type (associated with dolphins, floating objects or in free‐swimming tuna schools). Our results suggest that water temperature, set type and geographic location (latitude, longitude and distance to nesting beaches) are the most important predictor variables to describe the probability of a capture event, with the highest iCPUE observed in sets made over floating objects. With the environmental predictors used, sea surface temperatures (SST) of 26–30°C and chlorophyll‐a (chl‐a) concentrations <0.36 mg m^?3 were associated with the highest probability of an incidental catch. Temporally, the highest probability of an incidental catch was observed in the second half of the year (June to December). Four regions were observed as high incidental catch hotspots: North and south of the equator between 0–10°N; 0–10°S and from 120 to 140°W; and along the Colombian coast and surrounding regions.