Nutrient digestibility of angling baits for carp, Cyprinus carpio, with implications for groundbait formulation and eutrophication control

Abstract  To evaluate the suitability of angling groundbaits as a fish feed and the potential for nutrient loss, the macronutrient digestibility of four groundbaits was investigated in carp, Cyprinus carpio L., using a sieving method of faeces collection and chromic oxide. Apparent digestibility coefficients (ADCs) of protein and lipids were >80% for all angling baits. ADCs of nitrogen-free extracts and phosphorus (P) differed significantly between the test diets, probably because of divergent feed compositions and ingredient treatments. The generally high digestibility estimates indicated that fish feeding on angling groundbait will benefit from this food source. The differences in nutrient digestibility suggested that type of groundbait and ingredient used will have a major effect on potential eutrophication and fish production caused by groundbaiting. The principle of groundbaits to protect the environment should be to minimise the P-content of the groundaits and maximising P-digestibility and P-retention efficiency.     

Effect of oak (Quercus persica) acorn level on apparent digestibility,ruminal fermentation,nitrogen balance and urinary purine derivatives in pregnant goats

The aim of this experiment was to investigate the effect of dietary oak (Quercus persica) acorn (OA) level on dry matter intake (DMI), apparent nutrient digestibility, nitrogen (N) utilization, ruminal fermentation, protozoa population and urinary purine derivatives (PD) during the last 60 days of goat pregnancy. Twenty‐four multiparous pregnant goats (41.7 ± 2.3 kg BW) were assigned to one of three experimental diets consisted of control diet (C, without OA) and diets containing 20 (OA₂₀) or 40 g/100 g of OA (OA₄₀) on a DM basis in a completely randomized block design. Goats fed OA₄₀ had lower DMI (p < .01), DM (p < .01), OM (p < .01) and NDF (p < .05) digestibility, ruminal NH₃‐N concentration (p < .01), N intake (p < .01) and N retention (p < .01). Crude protein digestibility and ruminal acetate and total volatile fatty acid (VFA) concentration were lower in animals fed OA‐contained diets (p < .01), whereas ruminal propionate concentration was higher in goats fed the C diet (p < .01). Animals fed OA₄₀ had higher faecal N excretion and lower urinary N excretion (p < .01). Urinary PD was lower in goats fed diets containing OA in relation to those fed the C diet (p < .01). Total protozoa population decreased linearly with increasing OA level in the diet (p < .05). These results suggest that feeding OA, especially high level, has negative impacts on DMI, nutrient digestibility, VFA concentration, N retention and urinary PD excretion that may have adverse effects on metabolism and performance of pregnant goats.     

SoilFlex‐LLWR: linking a soil compaction model with the least limiting water range concept

Soil compaction impacts growing conditions for plants: it increases the mechanical resistance to root growth and modifies the soil pore system and consequently the supply of water and oxygen to the roots. The least limiting water range (LLWR) defines a range of soil water contents within which root growth is minimally limited with regard to water supply, aeration and penetration resistance. The LLWR is a function of soil bulk density (BD), and hence directly affected by soil compaction. In this paper, we present a new model, ‘SoilFlex‐LLWR’, which combines a soil compaction model with the LLWR concept. We simulated the changes in LLWR due to wheeling with a self‐propelled forage harvester on a Swiss clay loam soil (Gleyic Cambisol) using the new SoilFlex‐LLWR model, and compared measurements of the LLWR components as a function of BD with model estimations. SoilFlex‐LLWR allows for predictions of changes in LLWR due to compaction caused by agricultural field traffic and therefore provides a quantitative link between impact of soil loading and soil physical conditions for root growth.     

简单屋顶绿化的滞蓄特性

设计了模拟降雨与数据采集系统,研究了短时强降雨下简单屋顶绿化基质(配比：陶粒57.0%、草炭41.5%、保水剂1.5%)的降雨产流过程,基于37次模拟降雨实验,归纳了降雨产流的一般过程、规律和特性,分析了降雨强度、基质厚度和基质初始含水率对简单屋顶绿化滞流蓄水特性的影响。结果表明：基质厚度和基质初始含水率对简单屋顶绿化的蓄水特性有显著影响,基质初始含水率越低、基质厚度越厚时蓄水特性越佳。建立了产流时间数学模型,简单屋顶绿化降雨产流时间与降雨强度呈负相关,同时也受初始含水量和基质厚度影响。随着干湿循环次数增加,基质的厚度总体呈现下降趋势,储水性能逐渐下降,延迟产流时间逐渐缩短。     

不同种植方式对大跨度外覆盖大棚番茄群体微环境及植株生长与产量和品质的影响

以番茄品种罗拉为试材,设置5个处理,分别为:CK,定植密度33 300株·hm~(-2),留6穗果;T1,49 500株·hm~(-2),留4穗果;T2,66 000株·hm~(-2),留3穗果;T3,49 500株·hm~(-2),单株留2穗果与留6穗果相间;T4,66 000株·hm~(~(-2)),单株留2穗果与留4穗果相间,研究不同种植密度和留果方式对外保温覆盖大棚内番茄植株生长、产量、品质、群体微环境的影响。结果表明:T2和T1处理生育期平均温度、温度适宜度较高;T1和T3处理摘心前的叶片SPAD值显著高于对照;T1、T2处理的前期产量和总产量均显著高于对照;VC、可滴定酸、可溶性糖、番茄红素等果实品质以T1处理最优。综合产量、品质以及大棚内的温湿度和光照适宜度,T1处理种植风险较小,是外保温覆盖大棚中较为合适的种植方式。     

过滤后养猪废水厌氧发酵与固氮技术研究

为探究养殖废水高效处理方法,文章采用粉碎玉米秸秆过滤养殖废水中悬浮性固体,并对过滤后养猪废水作厌氧发酵和固氮研究。经过滤,总固体(TS)去除率达47.55%,在中温(35±2)℃条件下,研究5、15、25 d 3种不同水力停留时间(HRT),过滤后养猪废水全混合厌氧发酵特性。厌氧发酵过程运行稳定,产生沼气甲烷含量均稳定在70%左右,当水力停留时间为15 d时,产甲烷效率为239.17 mL CH4/gVS,溶解性化学需氧量(SCOD)去除率60.94%。沼液采用鸟粪石沉淀法固氮处理,经过试验参数优化在物质的量比n(Mg2+)n(PO43-):n(NH4+)=1.021.061、pH为9.6条件下,氨氮(TAN)去除率达86.66%,处理后沼液中氨氮浓度为160 mg·L-1,研究结果可为养猪废水资源化利用提供参考。     

生物炭折流湿地对生活污水的净化效果

为提升西北地区农村生活污水的治理水平,结合西北地区气温特征,以生物炭为主体构建了折流湿地,并分析其对生活污水中污染物的净化效果。结果表明:在水温8～12℃条件下,折流湿地的最佳水力停留时间(HRT)为2.5 d,此时,湿地中污水的化学需氧量(COD)、氨氮(NH_4~+-N)、磷酸盐(PO_4~(3-)-P)、悬浮物(SS)的去除率分别为90.51%、72.38%、90.73%、94.57%。此外,各自污染物去除率与其停留时间和沿程均呈显著正相关(P0.05)。折流湿地经过12个月的运行,对COD、NH_4~+-N、PO_4~(3-)-P、SS的年平均去除率分别为88.16%、83.16%、92.55%、96.30%,且出水水质稳定。生物炭作为折流湿地填料对COD、PO_4~(3-)-P、SS的去除过程均较好地符合一级动力学模型(R~20.91),并且对SS具有较快的去除速率。研究表明,生物炭作为折流湿地填料具有良好的应用价值,对解决西北地区农村水污染问题具有重要的意义。     

单叶刺槐半同胞子代叶片的滞尘能力及叶表SEM特征分析

以单叶刺槐母本(A1-1)及6个叶形产生明显变异的半同胞子代无性系(A20-5、B24-3、C24-2、B23-1、C24-1、C23-1)新鲜叶片为材料,测定各样本的单位叶面积总颗粒物滞留量、颗粒物粒径分析及叶表微观结构SEM特征,通过相关性分析,筛选与滞尘能力相关的叶形及SEM指标,运用隶属函数法,依据各样本滞尘指...     

海带粗提物及褐藻酸钠寡糖的保湿与抗氧化作用研究

以海带为原料提取海带粗提物,以褐藻酸钠制备古罗糖醛酸寡糖与甘露糖醛酸寡糖,研究比较海带粗提物、褐藻酸钠、古罗糖醛酸寡糖、甘露糖醛酸寡糖及岩藻聚糖硫酸酯的吸湿、保湿性及抗氧化性。试验结果表明,海带粗提物、褐藻酸钠、古罗糖醛酸寡糖及甘露糖醛酸寡糖具有较高的吸湿性与保湿性,且古罗糖醛酸寡糖、甘露糖醛酸寡糖、褐藻酸钠及岩藻聚糖硫酸酯对超氧阴离子和羟基自由基均有较强的清除作用。     

利用随机网络模型和CT数字图像预测近饱和土壤水分特征曲线

通过对连续土壤切片CT图像的分析,定量获取了土壤孔隙的大小分布情况。在此基础上建立了基于土壤孔隙形态学特征的随机网络模型,在孔隙尺度模拟了土壤中的水分运动过程,并预测了近饱和土壤水分特征曲线。结果表明,通过选取合适的模型参数,基于土壤孔隙形态学特征建立的随机网络模型可以模拟出与土壤样本实测值非常接近的水分特征曲线,可以作为一种快速测量的方法。