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土培条件下外源硒对黄芪吸收和转运硒的影响   总被引:3,自引:0,他引:3  
以黄芪(Astragalus membranaceus)和2种价态的硒为主要研究对象,采用土壤盆栽试验方法探讨了添加不同浓度(0,2,4,6,8mg/kg土)硒酸钠(SeVI)和亚硒酸钠(SeIV)对黄芪地上部和根系硒累积与分配的影响。结果表明:土壤中添加硒浓度为2~6mg/kg的亚硒酸钠有利于黄芪地上部和根部干物质的累积,比CK增加34.55%~38.24%,但是添加硒浓度超过2mg/kg的硒酸钠抑制了黄芪植株的生长;添加不同浓度的2种形态硒均可显著提高黄芪地上部和根部硒浓度,且土壤中添加硒酸钠和亚硒酸钠的硒浓度分别与黄芪植株硒含量呈极显著正相关关系(SeVI:r=0.884**,SeIV:r=0.973**);随着硒处理浓度的升高,添加硒酸钠和亚硒酸钠处理的黄芪根系对硒吸收能力高于对照,转移系数和富集系数均大于1,且硒含量地上部根部,这表明土壤中添加外源硒可以提高黄芪对硒的吸收和转运能力。综上所述,在中性偏碱性土壤上施用硒酸钠和亚硒酸钠均可促进黄芪对外源硒的吸收、转运和累积,且土壤施用2~6mg/kg的亚硒酸钠对黄芪的生长和硒的累积效果更好。  相似文献   
3.
为了解黄芪对硒的吸收转运能力,以黄芪为试材,采用根施和叶面喷施硒2种方式,探索施用不同浓度(0、5、10、50、100μmol/L)的硒酸钠和亚硒酸钠,对黄芪生物量、硒含量以及硒在植物体内的转运能力进行研究。结果表明,无论是以硒酸钠还是亚硒酸钠作为硒源均有利于黄芪地上部和根部干物重、硒含量的增加,随着硒浓度的增加干物重呈先升高后下降的趋势,黄芪地上部硒含量呈逐渐上升的趋势,根部硒含量与之相反。添加硒酸钠和亚硒酸钠处理时,在10μmol/L浓度处理时黄芪地上部和根部干物重最大,分别比CK增加了49.89%、60.87%和23.36%、60.00%。添加相同浓度的硒酸钠处理时,黄芪地上部和根部中硒含量高于施亚硒酸钠处理,在100μmol/L浓度处理下黄芪地上部硒含量最大为119.13μg/g,在5μmol/L浓度处理下黄芪根部硒含量最大为52.25μg/g。2种施硒方式下,根部施硒酸钠更有利于黄芪对硒的富集,且黄芪根部向地上部转运硒的能力随施硒浓度的升高逐渐增大。  相似文献   
4.
森林凋落物分解研究进展   总被引:15,自引:0,他引:15  
 森林凋落物分解是森林生态系统养分生物循环的重要环节,而分解过程中所释放的CO2是全球碳素收支的重要组分,开展森林凋落物分解研究是充分认识森林生态系统结构和功能的基础。研究认为:凋落物分解的预测指标可分为3类,即环境指标(如实际蒸散量)、凋落物物理质量(如叶抗张强度)和化学质量指标(如C/N比、木质素/N比和C/P比等);凋落物分解过程中养分释放机制极其复杂,养分动态模式主要有淋溶—释放、淋溶—富集—释放和富集—释放3种,并因凋落物种类、分解阶段和元素本身性质的不同而异;凋落物混合分解并非单一树种分解的简单叠加,因树种组成和比例不同,基质的化学组成会发生变化,从而影响分解者的多样性、丰富度和生理活性,进而直接和间接地影响其分解速率;凋落物混合分解中可能存在无效应、促进效应和抑制效应;现有的研究结果显示,凋落物混合分解的适宜比例应与群落中不同树种的种群比例相一致;CO2浓度升高不仅影响凋落物的化学性质,而且与分解环境中土壤的生物活性密切相关,但CO2浓度升高并不改变凋落物质量与分解速率之间的关系;越来越多的研究显示,CO2浓度升高的环境下,植物群落的物种组成会产生变化,这种变化对养分循环速率的影响远大于单纯大气CO2浓度变化的影响。  相似文献   
5.
Summary The relationshops between numbers of main stems and some measures of growth and yield, as well as total tuber yield, were examined for potatoes grown under different daylengths. Leaf area, tuber number and tuber yield per plant increased significantly with increasing daylength and number of main stems. Numbers of main stems and leaf area were correlated positively with tuber number and tuber yield and negatively with average tuber weight. The correlations were stronger with stem number than with leaf area and were differently affected by daylength. Standard regression coefficients indicated that stem number has strong positive and negative relationships with tuber number and average tuber weight, respectively. Since tuber number was a better determinant of yeild than average tuber weight, the final relationship between the numbers of main stems and tuber yield remained positive for all daylengths. Determinants that will best explain variation in tuber total yield, tuber number, and average tuber weight are suggested.  相似文献   
6.
The objective of the present study was to investigate if dietary soluble non‐starch polysaccharides (NSP) increase digesta viscosity, reduce nutrient digestibility and increase organ weights in African catfish. The fish (mean weight 80 g) were fed diets supplemented with the soluble NSP guar gum at three levels, 0 g kg?1 (GG0), 40 g kg?1 (GG4) and 80 g kg?1 (GG8). Guar gum inclusion significantly increased digesta viscosity in the proximal (GG0: 1.7 centipoise or cP; GG4: 84.9 cP; GG8: 98.3 cP) and distal (GG0: 1.9 cP; GG4: 109.8 cP; GG8: 66.4 cP) intestine. Apparent digestibility coefficients (ADC) were significantly lower for the GG8 diet than the GG0 diet (dry matter: 52% versus 69%; protein: 77% versus 90%; ash: 41% versus 54%; energy: 60% versus 77%). The ADC of dry matter and energy were significantly lower for the GG4 diet than the GG0 diet. The relative growth rate of metabolic weight (14.5–15.4 g kg?0.8 day?1) and feed conversion ratio (0.8) did not differ between diets. Fish fed the GG8 diet had a significantly higher somatic stomach index than GG0 fish (0.71% versus 0.65% body weight). The intestinal somatic index tended to increase with increasing guar gum supplementation (GG0: 1.08%; GG4: 1.23%; GG8: 1.59%). In conclusion, high digesta viscosities in the guar gum fed fish may explain the observed reduced nutrient digestibilities and increases in digestive organ weights.  相似文献   
7.
Gaining a detailed knowledge on the impact of a feedstuff on pig growth and physiological responses is critical for its effective utilization. Thus, the purpose of this study was to investigate the effect of distillers dried grains with solubles derived from co‐fermentation of wheat and corn (wcDDGS) on performance, carcass and visceral organ weights, whole‐body O2 consumption and heat production (HP) in growing barrows. The experimental diets were as follows: corn–soybean meal diet (Control), Control + 15% wcDDGS and Control + 30% wcDDGS. In Exp. 1, 48 pair‐housed pigs of average BW 18.6 ± 1.5 kg (mean ± SD) were allotted to the 3 diets (n = 8). Pigs had free access to water and feed for a 28‐day period during which ADG and ADFI were calculated weekly. Thereafter, 1 pig/pen was killed to measure carcass and visceral organ weights. Overall, wcDDGS linearly decreased (p < 0.05) ADFI and ADG but had no effect on G:F (p > 0.10). The ADFI was 1.55, 1.45 and 1.36 kg/day for diets containing 0, 15 and 30% wcDDGS respectively; corresponding values for ADG were 0.79, 0.75 and 0.67 kg/day respectively. A linear decline (p = 0.01) in eviscerated hot carcass weight was observed as dietary wcDDGS increased. In Exp. 2, 18 pigs of average BW 20.4 ± 2.4 kg (mean ± SD) were individually housed in metabolism crates and fed the 3 diets (n = 6) at 550 kcal ME kg BW?0.60day for a 16‐day period followed by measurement of O2 consumption using an indirect calorimeter. Diet had no effect (p > 0.10) on whole‐body O2 consumption and HP. In conclusion, increasing wcDDGS content in growing pig diets linearly reduced ADFI, ADG and eviscerated hot carcass weight but had no effect on G:F, visceral organ weights or HP.  相似文献   
8.
从投资者的角度对电子商务网站潜力进行评测需要准确、完整、自然的表达。作为一种普适的定性定量转换模型,云模型在评价领域已得到一定程度的应用。在网站潜力评测指标的评价和各指标权重的确定上均引入云模型,有效地减弱了该类研究中人为确定的主观性和理论计算的强硬区分,使结果更接近没有明确分界的自然语言评价。  相似文献   
9.
This paper proposes a novel BP network model based on nonlinear iterative partial least-squares algorithm which can fit nonlinear data. The novel BP network model can reduce iterative step number and advance learning effieieney. This paper pretreats data by nonlinear iterative partial least-squares algorithms. The weights initialization of input floor and output floor are set by applying the loading weights of dependent variable and cause variable, the member of hidden nodes are set by applying factor numbers of nonlinear iterative partial leastsquares algorithm, the connection co- efficient is set by applying the connection matrix B. Performances of the BP, PLS, and PLS-BP are analyzed and compared. The results show that the PLS-BP has better fitting and forecasting than BP and PLS.  相似文献   
10.
The effect of potassium (K) supply on dry matter accumulation and partitioning of biomass between different among parts of cotton (Gossypium hirsutum L.) was determined under irrigated conditions. The treatments were four cotton cultivars (CIM-448, CIM-1100, Karishma, and S-12), four K rates (0, 62.5, 125, and 250 kg K ha−1), and two K-fertilizer sources (K2SO4, KCl). Sequential harvests were collected at four stages of growth, viz first flower, peak flowering, first boll split, and maturity. The dry weights (DW) of vegetative and reproductive organs were determined. Maximum total DW was obtained at 125 days after planting, and then it declined because of leaf senescence at maturity. Cultivars differed significantly among themselves in the production of total DW and its partitioning between different organs. The addition of K fertilizer increased DW substantially at various stages of growth. Potassium fertilizer stimulated cotton plant to translocate resources towards reproductive organs rather than vegetative organs. Crop receiving 250 kg K ha−1 allocated 77% more dry matter into reproductive organs. The K-sources produced a little effect on the allocation of DW in various parts of the plant. Maximum reproductive–vegetative ratio (RVR) was maintained by cv CIM-448 and minimum in cv CIM-1100. Data showed that a shift in DW allocation into reproductive organs was dependent upon sustained supply of K+ throughout the season. There were positive significant correlations (0.86, 0.71, and 0.90) between seed cotton yield and total DW, vegetative DW, and reproductive DW, respectively.  相似文献   
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