Estimating Arundo donax shoot biomass

We developed an equation for estimating Arundo donax shoot dry weight from shoot length. The equation, shoot dry weight (g) = 14.254 (standard error = ±0.275) × shoot height² (m), was as effective at explaining a high proportion of total variation in shoot dry weight (R² = 0.90) as more complicated equations containing additional morphometric parameters. Tested against two independent datasets, the equation provided accurate estimates of dry weight for shoots ranging from 0.3 to 7.06 m height (dataset 1, P < 0.0001, R² = 0.87, N = 29; dataset 2, P < 0.0001, R² = 0.82, N = 192). The equation provides aboveground biomass estimates from stem counts and heights more rapidly than harvest methods.     

Ecological–genetic approach in modeling the natural evolution of a population: Prospects and special aspects of verification

This study presents a complex approach for modeling the natural evolution of a population in terms of population number and dynamics of the genetic structure. A set of dynamic models that consider various types of natural selection was applied to describe possible mechanisms underlying the formation of existing genetic variations in litter sizes in coastal, inland, and farmed arctic fox populations (Alopex lagopus, family Canidae, order Carnivora). The r–K selection model for uniform population and the models with natural selection were assessed on various life cycle stages in a two-age population. The life cycle of arctic fox was fitted to the population model with two age stages. The different reproductive potentials and survivability of progeny on the early stage of life cycle were genetically determined using the model with a single diallelic gene. A monomorphism was obtained for a considered characteristic in a population of coastal arctic fox with constant food supply. Meanwhile, a polymorphism with cyclic fluctuations in population number and gene frequency was obtained in inland arctic fox populations, which could be due to cyclic fluctuations of prey. In farmed fox populations, the considered gene becomes pleiotropic (defines the survival rate of individuals on early and late stages of the life cycle) because of artificial selection performed by farmers to increase the reproductive success of breeders. The application of an appropriate model (with selection by pleiotropic gene) can be used to determine the elimination rate of low litter size alleles from the farmed populations. The possible applications of the proposed models for formulating and solving optimal control tasks in arctic fox populations are discussed too.     

The Exact Distribution of the Anderson-Kannemann Statistic

The Anderson-Kannemann test is a rank test for treatment effects in a randomized block design with K treatments and N blocks. In this paper, an algorithm for computing the exact distribution of the Anderson-Kannemann test statistic under the null hypothesis is deduced. Then, the exact distribution is compared with the asymptotic χ²-distribution, and it is shown that the exact distribution is approximated fairly well by the asymptotic distribution. Tables of the exact distribution are given for K = 3, N = 3(1)15; K = 4, N = 3(1)11; K = 5, N = 3(1)7; and K = 6, N = 3(1)5.     

Persistence and proliferation of a Chinese Metarhizium anisopliae s.s. isolate in the peanut plant root zone

We evaluated the persistence and proliferation of a Chinese Metarhizium anisopliae s.s. isolate (M202-1) at different distances from peanut roots during peanut development. The results showed that the duration, distance from root and depth resulted in significant effects and interactions on the survival of the fungus. The fungal population showed a rapid early decline, followed by a gradual stabilisation or a slight re-establishment. The rhizospheric population declined by 50% within 21 d, faster than other population away from the root. The decline reached the lowest level between days 60 and 90, with levels of 10.8–24.7% of the initial inoculum. In comparison, the rhizospheric population re-established earliest and increased to 52.9% of the initial on day 150. The 3–5-cm shallow layer was more suitable than the 13–15-cm layer for fungal persistence. When Metarhizium was applied outside the 11.5-cm radius around the root, it would diffuse inward in 30 d, causing a significant increase at the rhizosphere on day 90. In accordance with the sampling date corresponding to the root development stage, the results suggest that the rhizosphere of peanut middle–later development was conducive to Metarhizium proliferation, promoting Metarhizium application for pest control in the soil.     

A study on the minimum number of loci required for genetic evaluation using a finite locus model

For a finite locus model, Markov chain Monte Carlo (MCMC) methods can be used to estimate the conditional mean of genotypic values given phenotypes, which is also known as the best predictor (BP). When computationally feasible, this type of genetic prediction provides an elegant solution to the problem of genetic evaluation under non-additive inheritance, especially for crossbred data. Successful application of MCMC methods for genetic evaluation using finite locus models depends, among other factors, on the number of loci assumed in the model. The effect of the assumed number of loci on evaluations obtained by BP was investigated using data simulated with about 100 loci. For several small pedigrees, genetic evaluations obtained by best linear prediction (BLP) were compared to genetic evaluations obtained by BP. For BLP evaluation, used here as the standard of comparison, only the first and second moments of the joint distribution of the genotypic and phenotypic values must be known. These moments were calculated from the gene frequencies and genotypic effects used in the simulation model. BP evaluation requires the complete distribution to be known. For each model used for BP evaluation, the gene frequencies and genotypic effects, which completely specify the required distribution, were derived such that the genotypic mean, the additive variance, and the dominance variance were the same as in the simulation model. For lowly heritable traits, evaluations obtained by BP under models with up to three loci closely matched the evaluations obtained by BLP for both purebred and crossbred data. For highly heritable traits, models with up to six loci were needed to match the evaluations obtained by BLP.     

An evaluation of the miles method of ageing using the Tepe Hissar dental sample.

The Miles system of ageing, based upon analysis of the rate of molar wear, was evaluated using the available dental sample from Tepe Hissar, Iran. The independently estimated ages for the mandibles and maxillae of the same individuals were found to be highly correlated (r = 0.87, p less than 0.001). Ages of a subsample of the dentitions were compared with skeletal ages for the same individuals estimated from pubic symphyseal faces and found to be significantly correlated (r = 0.82, p less than 0.005) with no significant differences in the mean ages. Although a complete evaluation of the Miles method would require its testing on a controlled population, the available dental sample from Tepe Hissar provided evidence of the reliability and validity of the Miles method of ageing archeological populations on the basis of dental wear. Due to selective retention of burial remains, the available skeletal sample from Tepe Hissar I-III is not representative of the human populations of the site and can not be used to generate meaningful demographic statistics.     

De novo deletions and duplications at recombination hotspots in mouse germlines

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Testing parameter sensitivities and uncertainty analysis of Biome-BGC model in simulating carbon and water fluxes in broadleaved-Korean pine forests

生态过程模型的发展为研究者在长时间序列和区域尺度的研究提供了便利, 但模型模拟的准确性受到模型自身结构、模型参数估计合理性的影响。敏感性分析能够定量或定性筛选出对模型模拟结果影响较大的敏感参数, 是模型参数校准过程中的重要工具, 也是建模和应用的先决条件。该文以阔叶红松林为研究对象, 采用全局敏感性分析方法——傅里叶幅度灵敏度检验扩展法(EFAST)对Biome-BGC模型的生理生态参数进行了敏感性分析, 分别分析了红松(Pinus koraiensis)和阔叶树的净初级生产力(NPP)、蒸散(ET)对参数变化的敏感性。结果表明: (1)模拟红松NPP的不确定性高于阔叶树, 但二者的模拟ET的不确定性均较小。阔叶树的NPP和ET对生理生态参数的敏感性总体上都小于红松。(2)无论是红松、阔叶或其他植被类型, 模拟NPP均表现出对叶片碳氮比、细根碳氮比、比叶面积(SLA)和冠层截留系数的敏感性, 这4个参数的高敏感性主要是由模型自身结构所决定的, 与植被类型和研究地区的关系较小。对模拟ET而言, 细根与叶片碳分配比、新茎与新叶碳分配比和SLA均是影响红松和阔叶树ET的敏感参数, 但红松ET主要受参数与参数间的二阶或多阶交互作用的间接影响, 而阔叶树ET则主要是受到敏感参数直接效应的影响。(3)除了上述影响红松和阔叶树碳水通量的共性参数外, 诸如核酮糖-1,5-二磷酸羧化酶中叶氮含量、叶片与细根周转率、所有叶面积与投影叶面积之比等也是对模拟结果有影响的重要参数, 但是其敏感程度随物种不同和研究区不同而不同, 所以这类参数可以根据具体情况进行参数本地化, 对于其他不敏感参数则可以采用模型缺省值。     

担载血管生长因子的乳液法纤维用于血管再生的研究

目的:制备担载血管生长因子(VEGF)的乳液法静电纺丝纤维膜,对其开展一系列表征,从而研究其血管再生的潜能。方法:通过W/O乳液法制备担载VEGF的静电纺丝纤维膜,并对其形态、力学性质进行表征。用VEGF ELISA分析方法对其体外释放动力学进行研究。运用CCK-8法检测乳液法静电纺丝纤维膜中VEGF的活性变化。结果:乳液法静电纺丝纤维膜呈现连通的三维网状结构,平均直径为1μm,模拟了细胞外基质(ECM),最大拉伸应力为3.03±0.66 M Pa,具有良好的抗拉伸能力,能够支持细胞的生长。乳液法纤维膜中VEGF在体外累积释放了14天,总释放量超过20000 pg,达到血管再生的有效浓度。CCK-8结果显示,乳液法纤维膜中的VEGF仍然保持较高的蛋白活性。结论:担载VEGF的乳液法静电纺丝纤维膜能够缓释出活性的蛋白,具有血管再生的潜能。     

Subject-specific bone remodelling of the scapula

Finite element analyses, with increasing levels of detail and complexity, are becoming effective tools to evaluate the performance of joint replacement prostheses and to predict the behaviour of bone. As a first step towards the study of the complications of shoulder arthroplasty, the aim of this work was the development and validation of a 3D finite element model of an intact scapula for the prediction of the bone remodelling process based on a previously published model that attempts to follow Wolff's law. The boundary conditions applied include full muscle and joint loads taken from a multibody system of the upper limb based on the same subject whose scapula was here analysed. To validate the bone remodelling simulations, qualitative and quantitative comparisons between the predicted and the specimen's bone density distribution were performed. The results showed that the bone remodelling model was able to successfully reproduce the actual bone density distribution of the analysed scapula.