Expression of the regulation of energy balance on the ingestive behavior of grazing beef cattle supplemented by grain

A change-over design was used to measure the effect of 0.0, 2.5 and 5.0 kg day⁻¹ of ground corn (Zea mays L.) kernels on the ingestive behavior of 12 tethered 2-year-old Angus (Bos taurus) heifers receiving a basal grain ration of 2.5 kg day⁻¹ and grazing summer regrowth pastures of ‘Boone’ orchardgrass (Dactylis glomerata L.). The experimental design allowed the estimation of the immediate effects (direct effects) of grain on ingestive behavior, its carry-over effects expressed the next day (first residual effects), and the combined effects of direct and first residual effects (permanent effects). Grain had no direct effect on ingestive behavior. Heifers ingested herbage dry matter (DM) at 1.64 kg h⁻¹, forming bites of 745 mg DM at 37 bites min⁻¹. The first residual effect was significant for residual dry matter, utilization, intake and rate of biting. Five kg of grain depressed the rate of herbage DM intake from 1.67 to 1.50 kg DM h⁻¹ on the day following its ingestion. This residual effect was not expressed in herbage intake per bite, but rate of biting was reduced from 39 to 35 bites min⁻¹. The 2.5-kg treatment had a small positive residual effect on rate of herbage intake. Data indicate the operation of energy balance regulation mechanisms on the ingestive behavior of grazing beef cattle.     

刈割留茬高度和不同播种组合对人工草地初级生产力和物种丰富度的影响

采用7种播种方式(3种单播和4种混播)和3种刈割留茬高度裂区试验,测定了青藏高原高寒地区人工建植3年的垂穗披碱草(Elymus nutans)、中华羊茅(Festuca sinensis)和羊茅(Festuca ovina)草地地上生物量、物种丰富度以及杂草生物量,以分析刈割对青藏高原人工草地初级生产力和物种丰富度的影响。结果显示:(1)在草地建植第2年,不刈割与刈割留茬60和20 mm的草地初级生产力均有显著差异;留茬60和20 mm刈割使单播草地的平均初级生产力分别降低20%和27%,使混播草地的平均初级生产力分别降低29%和37%。(2)草地建植第3年,不刈割、留茬60和20 mm 3个处理间的草地生产力均差异极显著;留茬60和20 mm刈割使单播草地的平均生产力分别降低19%和36%,使混播草地的平均生产力分别降低4%和18%。研究表明,刈割显著降低了人工草地的初级生产力,同时显著增加了垂穗披碱草单播草地的物种丰富度和杂草生物量以及3种牧草混播草地物种丰富度,其他播种草地的物种丰富度和杂草生物量与不刈割草地均无显著差异。     

A modified Holzapfel-Ogden law for a residually stressed finite strain model of the human left ventricle in diastole

In this work, we introduce a modified Holzapfel-Ogden hyperelastic constitutive model for ventricular myocardium that accounts for residual stresses, and we investigate the effects of residual stresses in diastole using a magnetic resonance imaging–derived model of the human left ventricle (LV). We adopt an invariant-based constitutive modelling approach and treat the left ventricular myocardium as a non-homogeneous, fibre-reinforced, incompressible material. Because in vivo images provide the configuration of the LV in a loaded state even in diastole, an inverse analysis is used to determine the corresponding unloaded reference configuration. The residual stress in this unloaded state is estimated by two different methods. One is based on three-dimensional strain measurements in a local region of the canine LV, and the other uses the opening angle method for a cylindrical tube. We find that including residual stress in the model changes the stress distributions across the myocardium and that whereas both methods yield qualitatively similar changes, there are quantitative differences between the two approaches. Although the effects of residual stresses are relatively small in diastole, the model can be extended to explore the full impact of residual stress on LV mechanical behaviour for the whole cardiac cycle as more experimental data become available. In addition, although not considered here, residual stresses may also play a larger role in models that account for tissue growth and remodelling.     

Are the dominant and recessive plant disease resistance genes similar? A case study of rice R genes and Xanthomonas oryzae pv. oryzae races.

The resistance of rice to its bacterial blight pathogen Xanthomonas oryzae pv. oryzae (Xoo) has both qualitative and quantitative components that were investigated using three near-isogenic line sets for four resistance (R) genes (Xa4, xa5, xa13, and Xa21) and 12 Xoo races. Our results indicate that these two resistance components of rice plants were associated with the properties of the R genes. The qualitative component of the R genes was reflected by their large effects against corresponding avirulent Xoo races. The quantitative component of the R genes was their residual effects against corresponding virulent races and their epistatic effects, which together could lead to high-level resistance in a race-specific manner. Our results revealed important differences between the different types of R genes. Two R genes, Xa4 and Xa21, showed complete dominance against the avirulent Xoo races and had large residual effects against virulent ones. They acted independently and cumulatively, suggesting they are involved in different pathways of the rice defensive system. The third R gene, xa5, showed partial dominance or additivity to the avirulent Xoo races and had relatively small but significant residual effects against the virulent races. In contrast, xa13 was completely recessive, had no residual effects against the virulent races, and showed more pronounced race specificity. There was a strong interaction leading to increased resistance between xa13 and xa5 and between either of them and Xa4 or Xa21, suggesting their regulatory roles in the rice defensive pathway(s). Our results indicated that high-level and durable resistance to Xoo should be more efficiently achieved by pyramiding different types of R genes.     

Mean residual life cure models for right-censored data with and without length-biased sampling

We propose a semiparametric mean residual life mixture cure model for right-censored survival data with a cured fraction. The model employs the proportional mean residual life model to describe the effects of covariates on the mean residual time of uncured subjects and the logistic regression model to describe the effects of covariates on the cure rate. We develop estimating equations to estimate the proposed cure model for the right-censored data with and without length-biased sampling, the latter is often found in prevalent cohort studies. In particular, we propose two estimating equations to estimate the effects of covariates in the cure rate and a method to combine them to improve the estimation efficiency. The consistency and asymptotic normality of the proposed estimates are established. The finite sample performance of the estimates is confirmed with simulations. The proposed estimation methods are applied to a clinical trial study on melanoma and a prevalent cohort study on early-onset type 2 diabetes mellitus.     

Variability of pulmonary function in alpha-1-antitrypsin deficiency: residual family resemblance beyond the effect of the Pi locus

To gain insight into the variable expression of lung disease in alpha 1-antitrypsin deficiency, two pulmonary function tests, FEV1 and FEF25-75, were examined in alpha 1-antitrypsin-deficient individuals and their families. The mean and variance effects of Pi type, age, and sex on the pulmonary function variables were removed by stepwise multiple regression, and the residual phenotypes were analyzed. Path analysis of the residual phenotypes with environmental indices in 46 nuclear families demonstrated highly significant cultural inheritance. Significant polygenic inheritance was not demonstrated for FEV1 but was shown for FEF25-75. For FEV1, adjustment for the significant interaction between Pi type and pack-years of smoking tended to increase the estimated contribution of polygenic inheritance and to decrease the estimated contribution of cultural inheritance. Segregation analysis of the residual phenotypes in 44 nuclear families was carried out to determine whether another major gene, other than the Pi locus, may be influencing pulmonary function in this population. Statistical evidence was found for an additional major gene influencing FEV1; however, the evidence diminished after adjusting for the effects of pack-years and the interaction between Pi type and pack-years. This apparent drop in the importance of genetic factors would not be surprising if the effect of the putative major gene is to enhance susceptibility to effects of cigarette smoking. Finally, our investigation demonstrates the feasibility of dissecting residual familial effects on complex multifactorial traits.     

Alfalfa response to elevated atmospheric CO2 varies with the symbiotic rhizobial strain

Increased atmospheric CO₂ was shown to affect a variety of physiological processes in plants, including photosynthesis and growth with repercussions on crop yield and nutritive value. Perennial alfalfa (Medicago sativa L.) is a sustainable crop with a deep root system, living in symbiosis with rhizobium for nitrogen (N) fixation. The objective of the project was to determine the combined effects of elevated CO₂ and rhizobial strains on photosynthesis, growth, N fixation, and nutritive value of alfalfa, and on soil microflora. Alfalfa inoculated with two different strains of rhizobia (Sinorhizobium meliloti strains A2 and NRG34) was grown 2 months at day/night temperatures of 22/17°C under either 400 (near ambient) or 800 (elevated) μmol mol⁻¹ of CO₂. The photosynthetic response of alfalfa to elevated CO₂ differed according to the rhizobial strain. At the end of the experiment, elevated CO₂ stimulated photosynthetic rates by 50% in plants associated with A2 but there was no significant increase in plants nodulated with NRG34. Nitrogenase activity (+38%) and shoot growth (+60%) were stimulated under 800 μmol mol⁻¹ of CO₂ for alfalfa inoculated with both strains. Root dry weight was significantly higher at 800 μmol mol⁻¹ of CO₂ only with strain A2. Fibre concentration decreased in response to elevated atmospheric CO₂ in alfalfa inoculated with strain A2 resulting in plant material with greater nutritive value when inoculated with A2 compared to NRG34. In the soil, elevated CO₂ increased the proportion of fungi in the microbial community while decreasing Gram⁻ bacteria. For alfalfa inoculated with rhizobial strain A2, photosynthetic rates, nitrogenase activity, and growth were all stimulated by increased atmospheric CO₂ compared to less consistently positive responses to elevated CO₂ when inoculated with NRG34. Our results show that it is possible to identify rhizobial strains to improve plant performance under predicted future CO₂ concentrations with no negative effect on nutritive value. The Canadian Government’s right to retain a non-exclusive, royalty-free license in and to any copyright is acknowledged.     

控释肥硫膜降解对微域土壤性质的影响

硫包膜控释肥在农业上的大面积应用,引起了硫膜降解产物对土壤环境影响的广泛关注。选用山东有代表性的耕作土壤棕壤和潮土,设置处理包括硫加树脂残膜、硫残膜、硫磺片,采用尼龙滤网分隔法获取受控释肥硫膜影响较强的微域土壤,对比研究了硫膜对微域和非微域土壤某些化学性质的影响。结果表明,在棕壤上施用各含硫材料会显著影响微域土壤的pH值,微域各含硫材料的氧化高峰期出现在60d左右。硫膜降解对潮土pH值影响与棕壤相比不显著,但肥际微域与非微域相比下降明显。硫残膜对土壤中的微量元素能起到一定的活化作用,尤其是对潮土肥际微域有效铁的影响最为显著,培养结束时硫加树脂残膜处理是空白处理的6.58倍。潮土中施用含硫包膜控释肥可活化土壤养分,从而提高土壤中有效硫和有效磷的含量。控释肥硫膜降解对土壤性质影响显著的区域是在硫膜≤5mm范围内的土壤,而对非肥际微域土壤的化学性质无显著影响。     

A simulation approach to evaluating insecticides for brown planthopper control

Summary The overall efficiency of insecticides with various egg, nymph and adult efficacy for brown planthopper control were analyzed using a simulation approach. Insecticides which have high nymphal efficacy are most effective. Nymphal efficacy contributes up to 71% of the potential efficiency while ovicidal efficacy contributes the remaining 29%. Adult efficacy alone appears to have negligible effects. Long residual efficacy provides better control, however, the increase in efficiency is not directly proportional to the residual period of the insecticide. A residual period of 10 to 15 days would suffice for BPH control.     

Residual plots for log odds ratio regression models.

This article describes graphical diagnostic methods for log odds ratio regression models. To study the effects of an additional covariate on log odds ratio regression analysis, three types of residual plots based on weighted least squares (WLS) are discussed: (i) added variable plot (partial regression plot), (ii) partial residual plot, and (iii) augmented partial residual plot. These plots provide diagnostic procedures for identifying heterogeneity of error variances, outliers, or nonlinearity of the model. They are especially useful for clarifying whether including a covariate as a linear term is appropriate, or whether quadratic or other nonlinear transformations are preferable. A well-known data set for case-control studies is analyzed to illustrate the residual plots.     

Effects of stress shielding and subsequent restressing on mechanical properties of regenerated and residual tissues in rabbit patellar tendon after resection of its central one-third

Central third of patellar tendon (PT) is used as an autograft for anterior cruciate ligament (ACL) reconstruction. Previous studies investigated temporal changes in material properties of healing tissues in PT after resection of the central third. However, no study has been performed on effects of stress shielding (SS) and restressing (RS) on the properties of healing tissues. The present study hypothesised that SS adversely affects the mechanical integrity of healing tissues, which is recovered by subsequent RS. An entire rectangular defect was created in the central third of rabbit PT. Operated PTs were subjected to either SS or no stress shielding (NSS). A subgroup of stress-shielded PTs was followed by the resumption of normal loading, namely RS. Tensile properties of tissues regenerated in the defect and residual tendons were evaluated. Regenerated tissues of SS for 3 weeks resulted in significantly lower strength than NSS, which was recovered to NSS level by 3 weeks of RS. Strength of residual tissues in RS reversed SS effects, leading to the strength at NSS level after 12 weeks. However, tangent modulus of residual tissues in RS was still significantly lower than that of NSS at 12 weeks. Therefore, SS induces detrimental effects on the mechanical integrity of healing PTs, and the response to RS was different between regenerate and residual tissues, the latter of which took longer period to reach NSS level.     

Complementary strengths of spatially-explicit and multi-species distribution models

Species distribution models (SDMs) project the outcome of community assembly processes – dispersal, the abiotic environment and biotic interactions – onto geographic space. Recent advances in SDMs account for these processes by simultaneously modeling the species that comprise a community in a multivariate statistical framework or by incorporating residual spatial autocorrelation in SDMs. However, the effects of combining both multivariate and spatially-explicit model structures on the ecological inferences and the predictive abilities of a model are largely unknown. We used data on eastern hemlock Tsuga canadensis and five additional co-occurring overstory tree species in 35 569 forest stands across Michigan, USA to evaluate how the choice of model structure, including spatial and non-spatial forms of univariate and multivariate models, affects ecological inference about the processes that shape community composition as well as model predictive ability. Incorporating residual spatial autocorrelation via spatial random effects did not improve out-of-sample prediction for the six tree species, although in-sample model fit was higher in the spatial models. Spatial models attributed less variation in occurrence probability to environmental covariates than the non-spatial models for all six tree species, and estimated higher (more positive) residual co-occurrence values for most species pairs. The non-spatial multivariate model was better suited for evaluating habitat suitability and hypotheses about the processes that shape community composition. Environmental correlations and residual correlations among species pairs were positively related, perhaps indicating that residual correlations were due to shared responses to unmeasured environmental covariates. This work highlights the importance of choosing a non-spatial model formulation to address research questions about the species–environment relationship or residual co-occurrence patterns, and a spatial model formulation when within-sample prediction accuracy is the main goal.     

Estimation of genetic variation in residual variance in female and male broiler chickens

In breeding programs, robustness of animals and uniformity of end product can be improved by exploiting genetic variation in residual variance. Residual variance can be defined as environmental variance after accounting for all identifiable effects. The aims of this study were to estimate genetic variance in residual variance of body weight, and to estimate genetic correlations between body weight itself and its residual variance and between female and male residual variance for broilers. The data sets comprised 26 972 female and 24 407 male body weight records. Variance components were estimated with ASREML. Estimates of the heritability of residual variance were in the range 0.029 (s.e. = 0.003) to 0.047 (s.e. = 0.004). The genetic coefficients of variation were high, between 0.35 and 0.57. Heritabilities were higher in females than in males. Accounting for heterogeneous residual variance increased the heritabilities for body weight as well. Genetic correlations between body weight and its residual variance were -0.41 (s.e. = 0.032) and -0.45 (s.e. = 0.040), respectively, in females and males. The genetic correlation between female and male residual variance was 0.11 (s.e. = 0.089), indicating that female and male residual variance are different traits. Results indicate good opportunities to simultaneously increase the mean and improve uniformity of body weight of broilers by selection.     

残膜密度及面积对土壤水分累积入渗量的影响

随着地膜使用量和年限的不断增加,残膜在农田土壤中不断累积并趋于破碎化,影响土壤水分的入渗过程。本研究采用室内土壤水分一维垂直入渗试验,通过设置5个残膜面积水平(0.25、0.5、1、2、8 cm²)和5个残膜密度水平(0、60、180、300、420 kg·hm^-2)共21组试验处理,分析了不同残膜密度及面积对土壤水分累积入渗量的影响。结果表明: 在容重1.53 g·cm^-3的黏壤土中掺入一定量的残膜,加快了土壤水分入渗速率,增加了累积入渗水量;不同残膜面积处理的总入渗水量总是在单片残膜面积为1 cm²时出现突变或转折;残膜面积和残膜密度较大和较小时都会对累积入渗量产生显著影响,且以0.5 cm²残膜面积与200 kg·hm^-2残膜密度组合处理为明显分界,单片残膜面积为0.25 cm²时,累积入渗量最大;土壤中均匀混入单片面积≤0.25 cm²的残膜后,土壤水分累积入渗量曲线的斜率变化显著不同于其他残膜处理,形成了“新构”土壤,具有独特的水分入渗特征。     

Hierarchical Bayesian modeling of heterogeneous cluster‐ and subject‐level associations between continuous and binary outcomes in dairy production

The augmentation of categorical outcomes with underlying Gaussian variables in bivariate generalized mixed effects models has facilitated the joint modeling of continuous and binary response variables. These models typically assume that random effects and residual effects (co)variances are homogeneous across all clusters and subjects, respectively. Motivated by conflicting evidence about the association between performance outcomes in dairy production systems, we consider the situation where these (co)variance parameters may themselves be functions of systematic and/or random effects. We present a hierarchical Bayesian extension of bivariate generalized linear models whereby functions of the (co)variance matrices are specified as linear combinations of fixed and random effects following a square‐root‐free Cholesky reparameterization that ensures necessary positive semidefinite constraints. We test the proposed model by simulation and apply it to the analysis of a dairy cattle data set in which the random herd‐level and residual cow‐level effects (co)variances between a continuous production trait and binary reproduction trait are modeled as functions of fixed management effects and random cluster effects.     

Mitochondrial genetic effects on latent class variables associated with susceptibility to alcoholism

We report the results of statistical genetic analyses of data from the Collaborative Study on the Genetics of Alcoholism prepared for the Genetic Analysis Workshop 14 to detect and characterize maternally inherited mitochondrial genetic effects on variation in latent class psychiatric/behavioral variables employed in the diagnosis of alcoholism. Using published extensions to variance decomposition methods for statistical genetic analysis of continuous and discrete traits we: 1) estimated the proportion of the variance in each trait due to the effects of mitochondrial DNA (mtDNA), 2) tested for pleiotropy, both mitochondrial genetic and residual additive genetic, between trait pairs, and 3) evaluated whether the simultaneous estimation of mitochondrial genetic effects on these traits improves our ability to detect and localize quantitative trait loci (QTL) in the nuclear genome. After correction for multiple testing, we find significant (p < 0.009) mitochondrial genetic contributions to the variance for two latent class variables. Although we do detect significant residual additive genetic correlations between the two traits, there is no evidence of a residual mitochondrial genetic correlation between them. Evidence for autosomal QTL for these traits is improved when linkage screens are conditioned on significant mitochondrial genetic effects. We conclude that mitochondrial genes may contribute to variation in some latent class psychiatric/behavioral variables associated with alcoholism.     

Evaluation of the acaricidal activity of 63 commercialized pesticides against Haemaphysalis longicornis (Acari: Ixodidae)

The acaricidal activity and residual effects of 63 commercialized pesticides against the Cheongju strain of Haemaphysalis longicornis in Korea were examined. Twenty‐two pesticides (4 carbamates, 5 organophosphates, 10 pyrethroids, 1 amitraz, 1 diamide, and 1 unclassified pesticide) caused greater than 80% mortality in H. longicornis adults under laboratory conditions using the spray method. These 22 pesticides were used to treat grassland under field conditions for investigation of the residual effects, and 100% mortality in H. longicornis adults was observed with all the carbamates (carbosulfan, benfuracarb, fenobucarb, and carbaryl) and γ‐cyhalothrin after 3 days of pesticide treatment. γ‐Cyhalothrin exhibited 56.7% mortality after 10 days of treatment, which was the longest residual effect of treated grass on H. longicornis adults. With regard to the residual effects on H. longicornis under field conditions, most of the 22 pesticides exhibited higher mortality in nymphs than in adults. In particular, benfuracarb exhibited 96.7% acaricidal activity until 10 days after treatment. These results indicate that carbamates are highly likely to be available under field conditions and, based on this preliminary data, could be used for the control of H. longicornis adults and nymphs.     

Effects of Cultivars,Subsoiling, and Fumigation on Soybean Yields and Meloidogyne incognita Populations

Application of 1,2-dibromo-3-chloropropane (DBCP) and subsoiling under the row in Tifton sandy loam heavily infested with Meloidogyne incognita increased yields of four soybean cultivars. These cultivars have levels of resistance to M. incognita as follows: ''Hutton'', high; ''Essex'', intermediate; and ''Davis'' and ''Ransom'', low. After growing these four cultivars, sub-soiling, and applying DBCP for 2 years in the same plots, the residual effects of these practices on yield of Davis cultivar and populations of M. incognita were studied. Greatest yields of Davis were obtained on plots previously planted to Hunon and Essex and on plots previously treated with DBCP for 2 years. Residual effects of subsoiling on yield were not significant. Data on nematode populations indicated that some residual effects occurred because of cultivars and nematicides. However, root-knot was suppressed only where DBCP was applied the 2 previous years. Although beneficial residual effects occurred, they were not sufficient for maximum soybean production.     

Complex segregation analysis provides compelling evidence for a major gene underlying obsessive-compulsive disorder and for heterogeneity by sex

Evidence from twin and family studies supports a genetic etiology for obsessive-compulsive disorder (OCD). The purpose of this study was to test whether a major gene is implicated in a proportion of families with OCD. Complex segregation analyses of 153 families (80 case and 73 control), ascertained in the Johns Hopkins OCD Family Study, provided strong evidence for a major gene. A Mendelian-dominant model, with significant sex effects and with residual familial effects, best explained the observed data. Stratification of the sample by the sex of probands provided further evidence of heterogeneity with respect to familial aggregation. Segregation analyses of 86 families with a female proband and of the 67 families with a male proband suggested that a Mendelian-dominant model with familial residual effects was the most parsimonious model explaining the inheritance of OCD in both subgroups.