铁皮石斛人工繁育技术

以铁皮石斛商品瓶苗和盆栽苗茎段为试材,添加不同浓度6-BA、NAA,诱导茎段腋芽、原球茎和不定根,建立再生体系,快速繁殖铁皮石斛组培苗,以期为秦岭淮河一线以北地区人工繁殖铁皮石斛提供参考依据。结果表明:外植体宜采用70%酒精浸泡20 s,0.1%升汞浸泡8 min消毒;MS+6-BA 3.0~5.0 mg·L^-1+NAA 0.1~1.0 mg·L^-1适合腋芽分化和增殖,分化率92%~100%;1/2MS+6-BA 2.0 mg·L^-1+NAA 0.5 mg·L^-1+土豆泥15%适合原球茎诱导增殖,增殖倍数7.7;1/2MS+NAA 0.3 mg·L^-1生根率为100%;以松针土移栽,成活率83%。     

Neural network prediction of performance parameters of an inclined plate seed metering device and its reverse mapping for the determination of optimum design and operational parameters

Seed planting equipment with inclined plate seed metering devices is the most commonly used equipment for planting of peanut crop in India. For obtaining the high yield, it is very essential to drop the peanut seeds in rows maintaining accurate seed rate and seed spacing with minimum damage to seeds during metering. This mainly depends on forward speed of the planting equipment, rotary speed of the metering plate and area of cells on the plate. The relationship between these factors and the performance parameters viz., seed rate, seed spacing and percent seed damage can be established using regression analysis. But they may not be very accurate and may pose difficulty in the determination of inputs for a set of desired outputs (reverse mapping). Hence, an attempt has been made in this paper to develop the feed forward artificial neural network (ANN) models for the prediction of the performance parameters of an inclined plate seed metering device. The data were generated in the laboratory by conducting experiments on a sticky belt test stand provided with a seed metering device and an opto-electronic seed counter. The generated data was used to develop both statistical and neural network models. The performance of the developed models was compared among themselves for 4 randomly generated test cases. The results show that the ANN model predicted the performance parameters of the seed metering device better than the statistical models. In order to determine the optimum forward speed of the planting equipment, peripheral speed of the metering plate and the area of cells on the plate to obtain the recommended seed rate of 33.33 seeds/m², seed spacing of 100 mm and percent seed damage of 0.2% with 100% fill of the cells, a novel technique of reverse mapping using ANN model was followed. It was observed that the optimum forward speed of the planting equipment and optimum area of cells on the metering plate had good correlation with size of seed. Linear regression equations were developed to predict the optimum forward speed of the planting equipment and optimum area of cells on the metering plate using the size of seeds as independent parameter. The peripheral speed of the metering plate of 0.237 m/s was found to be optimum for the size of seeds in the range of 95.42-123.01 mm². However, the results need to be verified by conducting planting operation under actual field conditions.     

双壳贝类营养需求及人工饵料的研究进展

工厂化养殖是未来贝类产业可持续发展的必然趋势。由于微藻的培养容易受到气温、光照等自然环境条件的影响,而且占用大量水体,因此研发双壳贝类人工饵料已成为贝类工厂化养殖的关键因素。本文简述了蛋白质、脂类和碳水化合物对双壳贝类生长、繁殖及免疫的影响,详细叙述了微藻干粉、大型海藻处理物、酵母、微粒饲料、液态微胶囊饲料和固态微胶囊饲料6种人工饵料的研究进展,以期为研发新型的双壳贝类人工饵料及开展工厂化养殖提供依据。     

人工哺育大熊猫幼仔1月龄内的饲喂及体重增长变化研究

人工圈养大熊猫出生幼仔一般采用自然哺育和人工哺育2种形式。人工哺育大熊猫幼仔1月龄内的饲喂及体重增长变化研究结果表明,3只研究个体均饲喂异母初乳时,其生长发育良好。经方差分析,3只幼仔1月龄内饲喂和体重变化均无显著差异。因圈养大熊猫产双胎的几率较大,所以采取人工哺育可以保证幼仔的成活率。目前人工哺育的方式主要是采集初乳及母乳和配制人工乳来进行人工育幼。     

反相高效液相色谱法测定瘤胃液中的生物胺

本文旨在应用反相高效液相色谱法建立瘤胃液中生物胺的测定方法.样品经0.5 mol/L盐酸提取后,用丹磺酰氯柱前衍生,流动相为乙腈和0.1 mol/L乙酸铵溶液；采用梯度洗脱,流速为1.0 mL/min；紫外检测器波长254 nm,柱温30℃.应用该方法,研究高精料和低精料饲粮条件下瘤胃液中5种生物胺浓度的差异.结果表明...     

瘤胃微生物对饲料中霉菌毒素的脱毒作用

反刍动物瘤胃内微生物数量巨大、种类繁多,具有多种生理功能,对霉菌毒素也具有高效的脱毒作用。本文介绍了近年来瘤胃微生物对几种主要的霉菌毒素的脱毒作用。     

基于神经网络模型的青岛市城区土壤重金属污染源定位

建立基于遗传算法的BP神经网络系统,该模型可以有效描绘区域中重金属元素的分布情况,并由此通过各元素浓度极大值点求出污染源近似坐标,实现对污染源的定位.将该模型运用于青岛市,根据青岛市不同功能区的土壤重金属含量调查结果,实现了对可能重金属元素污染源位置的预测.     

银纹夜蛾人工饲养技术研究

本文在研究了各种环境因子对银纹夜蛾实验种群影响的基础上，进一步研究了食量，低温保种及饲养管理技术，设计了一种便于收集卵的新型产卵笼，并总结了人工饲养银纹夜蛾的技术要点。