饲料脂肪水平对俄罗斯鲟幼鱼生长、血液生化指标及抗氧化性能的影响

以鱼油、豆油、亚麻籽油等比例混合,配成脂肪含量分别为5.45%(L1)、7.00%(L2)、10.44%(L3)、14.37%(L4)、16.34%(L5)、18.91%(L6)及20.15%(L7)的等氮饲料,饲喂俄罗斯鲟(Acipenser gueldenstaedtii)幼鱼[(6.20±0.02)g]8周。实验结果表明,L3组的终末体质量、增重率最大,但与L2组间无显著差异(P0.05),L3组的蛋白质效率显著高于其它组(P0.05),且饲料系数最低。L6和L7组终末体质量、增重率和蛋白质效率显著低于L2和L3组(P0.05)。将幼鱼的增重率与饲料脂肪水平进行回归分析,得出俄罗斯鲟幼鱼在饲料脂肪水平为10.69%时生长最佳。随着饲料脂肪水平的升高,各组鱼的肝体比和体粗脂肪有上升趋势,其中肝体比在饲料脂肪含量大于14.37%时显著增大(P0.05)。血清中的甘油三酯、胆固醇含量也随脂肪水平升高而显著提高(P0.05),提示脂肪过高会影响俄罗斯鲟幼鱼的生长,降低蛋白质效率,导致脂肪在体内的过量积蓄。L7组鱼血清中高密度脂蛋白胆固醇含量最高,而L1组鱼的低密度脂蛋白胆固醇含量最高。肝脏脂蛋白酯酶活性随饲料脂肪水平的提高而升高,脂肪酸合成酶活性则随脂肪水平升高而降低,提示饲料脂肪水平的提高会促进鱼体脂肪的分解代谢。肝脏丙二醛含量和超氧化物歧化酶活性均随着饲料脂肪水平的提高显著升高(P0.05),表明脂肪含量过高会导致脂质过氧化,引发机体抗氧化酶活性的升高。综合俄罗斯鲟幼鱼的生长、血液指标及抗氧化性能,建议生产中将幼鱼的饲料脂肪水平控制在7.00%~10.69%。     

饲料蛋白对翘嘴红鲌蛋白质周转代谢的影响

选择健康的翘嘴红(体重12.84±0.60g)为试验鱼,以红鱼粉为蛋白源,配制5个蛋白水平(31.04%、35.51%、40.89%4、6.62%、50.33%)的等能、等必需氨基酸(EAA)平衡关联度的半精制饲料;又以豆粕替代鱼粉,大豆蛋白分别替代0、13.5%、27%、40.5%、54%的鱼粉蛋白,配制5个EAA关联度的等蛋白(40%)、等能(20MJ.kg-1)的半精制饲料,探讨饲料蛋白水平和大豆蛋白对鱼粉蛋白的替代对翘嘴红肌肉和肝胰脏蛋白质周转代谢的影响。8周饲养结果表明,饲料蛋白水平对翘嘴红的特定增重率(SGR)具有显著性影响(P<0.05),40.89%饲料蛋白组的SGR显著高于31.04%、35.51%饲料蛋白组(P<0.05),但与46.62%和50.33%饲料蛋白组没有显著性差异(P>0.05);饲料蛋白水平对白肌、肝胰脏蛋白质生长率具有相似的影响,40.89%饲料蛋白组的白肌、肝胰脏蛋白质生长率分别达到2.13%.d-1,显著高于31.04%和35.51%两组(P<0.05),但与46.62%和50.33%饲料蛋白组无显著性差异(P>0.05)。饲料蛋白水平的增加促进了翘嘴红的生长和蛋白质的合成。肌肉蛋白质合成率(Ks)、蛋白质降解率(Kd)随饲料蛋白水平的增加而增加(P<0.05),肌肉蛋白质的增加归因于蛋白质合成的增加较降解的增加更占优势,蛋白质的沉积率在适宜蛋白水平时最高。当大豆蛋白分别替代13.5%2、7.0%4、0.5%的鱼粉蛋白时,翘嘴红的SGR与对照组差异不显著(P>0.05),而且都显著高于54.0%替代组(P<0.05)。白肌蛋白质生长率(Kg)也显著受到大豆蛋白替代的影响(P<0.01),当饲料中大豆蛋白对鱼粉蛋白替代量为40.5%时,与对照组相比,Kg极显著下降(P<0.01)。随着饲料中大豆蛋白对鱼粉蛋白替代量的增加,白肌Ks随之降低,当饲料中大豆蛋白对鱼粉蛋白替代量达54%时,与对照组相比,肌肉Ks显著下降(P<0.05)。白肌Kd与白肌Ks的变化趋势相似(P<0.1),而PDE没有受到饲料中大豆蛋白对鱼粉蛋白替代的影响(P>0.05)。可见随着大豆蛋白对鱼粉蛋白替代量的提高,氨基酸平衡关联度逐渐降低,蛋白质合成逐渐降低(P<0.05),生长下降,饲料必须氨基酸平衡程度的变化没有改变蛋白质的沉积效率。     

三峡水库消落区植物群落结构及其季节性变化规律

为揭示三峡水库消落区出露期间植物群落结构特征的季节性变化规律,于2017年4、6和98月,设置了15个调查样地,并根据高程将消落区分为145~155 m、156~165 m和166~175 m等3个区域,并设置未水淹区域（高程176~-185 m）为对照。结果表明,消落区出露时间显著影响着植物群落的组成,随着出露时间的延长,消落区植物群落优势种及其优势度变化规律因植物的生活型不同呈现出相反的变化规律。从4月至8月,优势植物狗牙根、牛鞭草、喜旱莲子草等多年生草本植物优势度下降,鬼针草、苍耳、醴肠、水蓼、野胡萝卜、狗尾草等一年生草本植物优势度增加。而未水淹区植物优势种及其优势度变化规律不会因生活型不同而表现出不同的规律,不同地点的植物群落优势种差异较大,相对来说艾蒿较为优势,其次为小飞蓬。高程也是影响植物群落特征的主要因子,消落区植物群落Shannon-Wiener指数、Margalef指数、Simpson指数、植物高度均值显著低于未水淹区域,随着高程的增加,Shannon-Wiener指数、Margalef指数、Simpson指数生物多样性指数及、植物高度均值呈增加趋势。三峡水库消落区之所以呈现出目前的植物群落分布特征,植物内在的适应机制包括植物本身的冬季耐水淹能力、夏季抗旱能力、抗病虫害能力以及植物的及其繁殖对策、种源扩散对策等是主因,而外界环境条件,包括消落区土层厚度、地形坡度、土壤基质氮磷等营养盐,以及受水淹持续时间、水淹深度、高程、消落区出露时间等是其主要驱动因子。     

1984－2017年洪泽湖湿地植被覆盖度变化及对水位的响应

为揭示洪泽湖湿地植被覆盖度变化状况,探讨其变化趋势,并分析植被覆盖度与水位的相关关系。本文基于1984－2017年间42期的TM/ETM+/OLI数据,采用像元二分模型估算洪泽湖湿地植被覆盖度,分析研究区域近34年来植被覆盖度的整体特征及动态变化趋势。利用归一化差异水体指数提取洪泽湖的水体信息,同时结合植被覆盖度与其对应的水位监测数据,运用统计分析的方法构建洪泽湖四季的植被覆盖度－水体面积－水位关系模型。结果表明：(1) 研究时段上,洪泽湖湿地的整体植被覆盖度呈略微降低的趋势,中高和高植被覆盖区主要分布于研究区域的西北部及南部。(2) 1984－2017年间,洪泽湖的植被覆盖情况以退化为主,退化面积约为576.1km2,其中不显著退化(82.3%)所占比重最大。(3) 整体上看,研究区的植被覆盖度、水体面积与水位呈极显著性相关,根据三者关系模型得出四季的最适宜水位为春季12.3m、夏季12.9m、秋季12.1m和冬季12.2m。研究结果可为洪泽湖湿地生态环境的科学管理提供理论支撑与技术参考。     

切花非洲菊多倍体诱变初报

 以非洲菊‘阳光海岸’和‘白马王子’ (2n=2x=50) 品种为供试材料, 采用秋水仙素对其组培丛生芽进行离体诱导, 成功获得了四倍体植株。秋水仙素处理浓度和处理时间分别为0.02%、0.05%、0.10%和24、36、48 h。试验结果表明, 以0.10%的秋水仙素处理48 h诱导效果最佳, ‘阳光海岸’和‘白马王子’的丛生芽变异率分别为16%和10%。总体上看, 非洲菊对秋水仙素的敏感性较低。经气孔鉴定、染色体计数和形态学观察, 变异材料染色体数加倍(2n=4x=100) 。与二倍体相比, 变异材料气孔面积增大, 花序变大, 叶色变深, 叶尖变钝圆, 叶片质感变厚, 花梗直径变粗, 花梗基部花青素着色变深。最终分别获得稳定的‘阳光海岸’和‘白马王子’多倍体植株200余株和300余株。     

Optimal dietary lipid level for large yellow croaker (Pseudosciaena crocea) larvae

A 30‐day feeding experiment was conducted in blue tanks (70 × 50 × 60 cm, water volume 180 L) to determine the effects of dietary lipid levels on the survival, growth and body composition of large yellow croaker (Pseudosciaena crocea) larvae (12 days after hatchery, with initial average weight 1.93 ± 0.11 mg). Five practical microdiets, containing 83 g kg^?1 (Diet 1), 126 g kg^?1 (Diet 2), 164 g kg^?1 (Diet 3), 204 g kg^?1 (Diet 4) and 248 g kg^?1 lipid (Diet 5), were formulated. Live feeds (Artemia sinicia nauplii and live copepods) were used as the control diet (Diet 6). Each diet was randomly assigned to triplicate groups of tanks, and each tank was stocked with 3500 larvae. During the experiment, water temperature was maintained at 23(±1) °C, pH 8.0 (±0.2) and salinity 25 (±2) g L^?1. The results showed that dietary lipid significantly influenced the survival and growth of large yellow croaker larvae. Survival increased with the increase of dietary lipid from 83 to 164 g kg^?1, and then decreased. The survival of larvae fed the diet with 83 g kg^?1 lipid (16.1%) was significantly lower than that of larvae fed other diets. However, the survival in larvae fed the diet with 16.4 g kg^?1 lipid was the highest compared with other artificial microdiets. Specific growth rate (SGR) significantly increased with increasing dietary lipid level from 83 to 164 g kg^?1 (P < 0.05), and then decreased. The SGR in larvae fed the diet with 164 g kg^?1 lipid (10.0% per day) was comparable with 204 g kg^?1 lipid (9.6% per day), but were significantly higher than other microdiets (P < 0.05). On the basis of survival and SGR, the optimum dietary lipid level was estimated to be 172 and 177 g kg^?1 of diet using second‐order polynomial regression analysis respectively.     

Modeling the water budget in a deep caldera lake and its hydrologic assessment: Lake Ikeda, Japan

The hydrologic assessment of a lake water budget can be helpful in achieving proper water management and sustainable water use. A model to analyze a lake water budget was developed and verified for Lake Ikeda, Japan. Lake evaporation was estimated by numerical analyses of lake water temperature and the lake energy budget. Inflow from the lake catchment area and leakage from the lake bottom were estimated based on the tank model and Darcy's law, and the model parameters were optimized by the shuffled complex evolution method. The estimated monthly lake evaporation rate is consistent with the evaporation rate estimated by the energy budget Bowen ratio method based on in situ data from 2004 to 2005. Moreover, the calculated time series of daily lake levels agrees well with those of measured lake levels during 1983 to 1999. Thus, the model is useful for evaluating the lake water budget. Numerical analysis reveals seasonal and annual variation characteristics in the water budget components. Precipitation, inflow from the catchment area, and river water supply are generally high during the rainy season from June to July with substantial annual variation. Lake evaporation is greatest in October and least in April, but the annual variation is relatively small. Agricultural water use is relatively high from April to September. There are no marked seasonal changes in leakage and drinking water use. The lake level is generally highest in September and lowest in March, which is characterized by seasonal changes in water budget components. The model was also applied to 17-year simulations under hypothetical hydrologic conditions to examine the effect of water use and agricultural water management on the lake level. Results indicate that river water supply, provided under the agricultural water management system, effectively compensates for the decrease in lake water resulting from agricultural water use.     

Integrated management of irrigation water and fertilizers for wheat crop using field experiments and simulation modeling

The reported study aimed at developing an integrated management strategy for irrigation water and fertilizers in case of wheat crop in a sub-tropical sub-humid region. Field experiments were conducted on wheat crop (cultivar Sonalika) during the years 2002–2003, 2003–2004 and 2004–2005. Each experiment included four fertilizer treatments and three irrigation treatments during the wheat growth period. During the experiment, the irrigation treatments considered were I₁ = 10% maximum allowable depletion (MAD) of available soil water (ASW); I₂ = 40% MAD of ASW; I₃ = 60% MAD of ASW. The fertilizer treatments considered in the experiments were F₁ = control treatment with N:P₂O₅:K₂O as 0:0:0 kg ha⁻¹, F₂ = fertilizer application of N:P₂O₅:K₂O as 80:40:40 kg ha⁻¹; F₃ = fertilizer application of N:P₂O₅:K₂O as 120:60:60 kg ha⁻¹ and F₄ = fertilizer application of N:P₂O₅:K₂O as 160:80:80 kg ha⁻¹. In this study CERES-wheat crop growth model of the DSSAT v4.0 was used to simulate the growth, development and yield of wheat crop using soil, daily weather and management inputs, to aid farmers and decision makers in developing strategies for effective management of inputs. The results of the investigation revealed that magnitudes of grain yield, straw yield and maximum LAI of wheat crop were higher in low volume high frequency irrigation (I₁) than the high volume low frequency irrigation (I₃). The grain yield, straw yield and maximum LAI increased with increase in fertilization rate for the wheat crop. The results also revealed that increase in level of fertilization increased water use efficiency (WUE) considerably. However, WUE of the I₂ irrigation schedule was comparatively higher than the I₁ and I₃ irrigation schedules due to higher grain yield per unit use of water. Therefore, irrigation schedule with 40% maximum allowable depletion of available soil water (I₂) could safely be maintained during the non-critical stages to save water without sacrificing the crop yield. Increase in level of fertilization increases the WUE but it will cause environmental problem beyond certain limit. The calibrated CERES-wheat model could predict the grain yield, straw yield and maximum LAI of wheat crop with considerable accuracy and therefore can be recommended for decision-making in similar regions.     

广东省水稻生产机械装备水平灰色预测与分析

利用广东省水稻生产主要环节机械装备保有量的历史数据,建立了灰色GM(1,1)预测模型,对2006-2020年广东省水稻生产机械装备水平进行了预测,并参考广东省水稻生产机械化作业水平值,对其预测结果进行了修正,以便能为政府主管部门制定提高水稻生产机械装备水平的政策措施提供参考依据.     

金华市农业机械化发展水平评价

为促进金华市农业机械化发展,根据现有农业机械化水平评价方法,建立了金华市农业机械化水平评价指标体系,并确定了各指标的权重.在此基础上,利用1996-2006年金华市有关农业机械化统计数据,计算出金华市历年农业机械化水平,同时分析了影响当地农业机械化发展的因素.最后,结合金华市实际,提出了促进金华市农业机械化水平提高的措施与建议.