不同氮效率水稻品种苗期吸氮效率差异及其机理研究

以大田筛选得到的不同生物学特性的12个水稻品种为材料,研究了水培条件下这些品种苗期的吸N效率差异,结果表明大田N效率不同的品种在苗期水培条件下吸N效率也不相同,并且大田相同类型的品种在苗期N效率也不完全相同。供试7个大田高产品种中只有桂单4号、云粳38和黔育421这3个水稻品种在水培环境中同样保持较其它品种生物量大,N响应高的特性;另外3个大田高产品种南光、予粳7号和4007在苗期N效率表现很差;红稻Vmax虽然很大,但是生物量很小,所以综合表现一般。3个低产品种Elio、抚宁小红芒和黄金糯中,Elio在苗期N效率很高,另外2个品种N效率不高。研究发现,生物量(尤其是根系的生物量)和对NH4 的亲和力(1/Km)以及Vmax是水稻苗期吸N效率的主要决定因素。典型的苗期N高效品种有桂单4号、黔育421、Elio和云粳38,这些品种苗期N累积量高,N响应值高,原因在于桂单4号、黔育421和Elio在水平增加后Vmax都成倍增加,尤其Elio的Vmax一直都很高,而云粳38则主要是靠较高的生物量来获得高吸N量。典型的低效品种有南光、4007、武运粳7号和予粳7号,这些品种N累积量小,N响应值小,原因在于其中前3个品种在N水平增加后Vmax都降低,Km大幅度增加,而予粳7号虽然Vmax稍有增加,但亲和力则降低最大而成为所有品种中最低的,所以综合结果仍是低效。     

大豆脂氧酶的热失活动力学与其二级结构的圆二色谱表现

应用大豆脂氧酶的变温圆二色谱图研究了大豆脂氧酶(LOX)的热失活与二级结构变化过程.结果表明:在50一65℃条件下,10 min内,LOX的酶活随热处理时间延长而下降,其热失活过程遵循一级动力学,活化能Ea值为217 kJ.mol-1.在相同的热处理条件下,LOX中二级结构a-螺旋和β-折叠的相对含量均在20%左右浮动...     

刺糖多孢菌分批发酵动力学研究

利用摇瓶培养试验研究了刺糖多孢菌Saccharopolyspora spinosa的分批培养过程中生物量、培养液pH、葡萄糖消长、多杀菌素含量等因素的变化规律。利用MATLAB软件对试验数据进行非线性回归,拟合出了细胞生长动力学模型、基质消耗动力学模型和产物生成动力学模型,得到了细胞生长量、残糖量、多杀菌素产量在发酵过程中随时间变化的规律,相关系数分别为0．98934、0．99266和0．98635．拟合曲线95％置信度区间分析的结果表明,该模型能够很好的反映出刺糖多孢菌分批发酵的过程．     

Potassium dynamics in inceptisols as influenced by graded levels of potash for banana: III. Q/I relations and K kinetics

Quantity–intensity (Q/I) relationships of potassium (K) serve as a better index of K supplying power of soil. A laboratory study was carried out to study the effect of the levels of potash application to banana on Q/I relations and kinetics of potassium in soil. The activity ratio of potassium (AR^k₀), labile potassium (K_L), potassium held at nonspecific site (ΔK₀), and potassium held at specific sites (K_X) tended to increase with increasing K fertilization. As per the threshold values of free energy exchange (ΔG), the soil appeared to possess optimum amount of available K (?2500 to ?3000 cal mol^?1). Among the four equations used to describe the non-exchangeable K release in soils, the zero-order and Elovich models showed excellent linear and distinct differences with increasing time; however, the power function and parabolic models do not differentiate K release pattern at different time intervals.     

Soil phosphorus dynamics in cropping systems managed according to conventional and biological agricultural methods

The effects of conventional and biological farming systems on soil P dynamics were studied by measuring some microbiological parameters after 13 years of different cropping systems. The treatments included control, biodynamic, bio-organic, and conventional plots and a mineral fertilizer treatment. The farming systems differed mainly in the form and quantity of nutrients applied and in the plant protection strategies. The results of a sequential fractionation procedure showed that irrespective of the form of P applied, neither 0.5 M NaHCO _inf3 ^sup- nor 0.1 M NaOH-extractable organic P, but only the inorganic fractions, were affected. The residual organic P, not extracted by NaHCO₃ or NaOH was increased in the biodynamic and bio-organic plots. The soil microbial biomass (ATP content) and the activity of acid phosphatase were also higher in both biologically managed systems. These results were attributed to the higher quantity of organic C and organic P applied in these systems, but also to the absence of or severe reduction in chemical plant protection. The relationship between acid soil phosphatase and residual organic P was interpreted as an indication that this fraction might be involved in short-term transformations. The measurement of the intensity, quantity, and capacity factors of available soil P using the ³²P isotopic exchange kinetic method showed that P could not be the factor limiting crop yield in the biological farming systems. The kinetic parameters describing the ability of P ions to leave the soil solid phase, deduced from isotopic exchange, were significantly higher for the biodynamic treatment than for all other treatments. This result, showing a modification of chemical bonds between P ions and the soil matrix, was explained by the higher Ca and organic matter contents in this system.     

The effects of limb posture on relationships between in vitro radial hoof strain,load and joint angles

Reasons for performing study: Radial strain in normal hooves has been found to vary with strain gauge location, limb posture and sample limb but reported magnitudes were considered to be low. More accurate measurement of radial strain may enhance the understanding of hoof function. Objectives: To explore in vitro radial hoof strain in relation other kinetic and kinematic variables that may be related. Methods: Five normal forelimbs were removed at the proximal articular surface of the third metacarpal bone (McIII). The limbs were loaded using a modified Instron test machine. Six calibrated infrared cameras captured movement from markers on the hoof and bone fixed markers on the second and first phalanxes and McIII, whilst radial hoof strain was measured using a calibrated instrumented plug. Change in strain, joint angle and load were found at simulated walking postures and bivariate correlations were used to compare the relationships between them. Results: Radial strain was moderately correlated with proximal interphalangeal joint (PIPJ) rotation (r =?0.519). Large reductions in radial strain were found in loading and midstance with 10° of heel lift postures. Conclusions and potential relevance: PIPJ rotation has previously been linked to the magnitude of deep digital flexor tendon (DDFT) loads and it is therefore suspected that these loads may have the greatest influence on radial strain magnitudes. Further investigation of radial strain is needed to describe the patterns fully during the stance phase in vivo.     

Logistic方程在微生物分批培养动力学中的应用

将生态学领域中的Iogistic方程引入微生物动力学的研究中，建立了3个分别基于Monod方程、Herbert方程和Logistic方程的关于培养基中的微生物浓度(χ)和底物浓度(s)的模型以形成对照．同时建立了基于Logistic方程的关于微生物浓度(χ)和时间(t)的模型．这些均采用实验数据拟合以证明其精确性．该工作有助于研究微生物生长特性，同时有助于进一步地研究可生化降解的有机物在水体的微生物作用下的氧化分解过程，建立新的河流、湖泊、水库等生物学水质模型．本研究中采用的数值方法是非线性最小二乘法、Interior-reflective Newton算法．在Lorynebacterium glutamicum分批培养和Pseudomonas sp．分批培养中，基于Logistic方程的χ-s模型拟合的相关系数分别是0.9940和0．9867，在Pseudomonas sp．分批培养中，z-t模型拟合的相关系数是0．9972。     

N tracing models with a Monte Carlo optimization procedure provide new insights on gross N transformations in soils

¹⁵N tracing studies in combination with analyses via process-based models are the current “state-of-the-art” technique to quantify gross nitrogen (N) transformation rates in soils. A crucial component of this technique is the optimization algorithm which primarily decides how many model parameters can simultaneously be estimated. Recently, we published a Markov chain Monte Carlo (MCMC) method which has the potential to simultaneously estimate large number of parameters in ¹⁵N tracing models [Müller et al., 2007. Estimation of parameters in complex ¹⁵N tracing models by Monte Carlo sampling. Soil Biology & Biochemistry 39, 715-726].Here, we present the results of a reanalysis of datasets by Kirkham and Bartholomew [1954. Equations for following nutrient transformations in soil, utilizing tracer data. Soil Science Society of America Proceedings 18, 33-34], Myrold and Tiedje [1986. Simultaneous estimation of several nitrogen cycle rates using ¹⁵N: theory and application. Soil Biology & Biochemistry 18, 559-568] and Watson et al. [2000. Overestimation of gross N transformation rates in grassland soils due to non-uniform exploitation of applied and native pools. Soil Biology & Biochemistry 32, 2019-2030] using the MCMC technique. Analytical solutions such as the ones derived by Kirkham and Bartholomew [1954. Equations for following nutrient transformations in soil, utilizing tracer data. Soil Science Society of America Proceedings 18, 33-34] result in gross rates without uncertainties. We show that the analysis of the same data sets with the MCMC method provides standard deviations for gross N transformations. The standard deviations are further reduced if realistic data uncertainties are considered. Reanalyzing data by Myrold and Tiedje [1986. Simultaneous estimation of several nitrogen cycle rates using ¹⁵N: theory and application. Soil Biology & Biochemistry 18, 559-568] (Capac soil) resulted in a model fit similar to the one of the original analysis but with more precise estimates of gross N transformations. In addition, our analysis showed that small N transformations such as heterotrophic nitrification, which was neglected in the original analysis, could be quantified for this soil. Watson et al. [2000. Overestimation of gross N transformation rates in grassland soils due to non-uniform exploitation of applied and native pools. Soil Biology & Biochemistry 32, 2019-2030] provided evidence of a non-uniform exploitation of applied and native N that led to an overestimation of gross N transformations. Reanalyzing the data (CENIT soil, low N application) with the Müller et al. [2007. Estimation of parameters in complex ¹⁵N tracing models by Monte Carlo sampling. Soil Biology & Biochemistry 39, 715-726] model where oxidation was set to Michaelis-Menten kinetics resulted in a satisfactory fit between modeled and observed data, indicating that the observed artifact by Watson et al. [2000. Overestimation of gross N transformation rates in grassland soils due to non-uniform exploitation of applied and native pools. Soil Biology & Biochemistry 32, 2019-2030] was mainly due to inappropriate kinetic settings. Our study shows that the combination of a MCMC method with ¹⁵N tracing models is able to consider more complex and possibly more realistic models and kinetic settings to estimate gross N transformation rates and thus overcomes restriction of previous ¹⁵N tracing techniques.