Plant Nutrient Partitioning in Coffee Infected with Meloidogyne konaensis

Two experiments were conducted to assess nutrient partitioning in coffee (Coffea arabica cv. Typica land race Guatemala) infected with Meloidogyne konaensis. Nutrient levels were quantified from soil, roots, and leaves. In the first experiment, 500-cm3 aliquants of a Kealakekua Andisol were infested with four initial population densities of M. konaensis ranging from 0 to 1,500 freshly hatched second-stage juveniles. Coffee plants (~3 months old) were transplanted into the soil and grown for 25 weeks. Plants responded to nematode infection with decreases (P < 0.05) in concentrations of Ca, Mg, P, and B and increases (P < 0.05) in concentrations of Mn, Cu, Zn, and Ca/B in the roots. Mn and Cu uptake by roots was decreased (P < 0.05) by nematode infection even though concentrations of Mn and Cu increased (P < 0.05) in the roots. Concentrations of Ca and Mg also decreased (P < 0.05) in the leaves, whereas the concentration of Zn increased (P < 0.05). In the second experiment, the soil was amended with Zn at 0 or 5 mg/kg soil and infested with M. konaensis at 0, 100, 1,000 or 10,000 eggs/1,200 cm³ soil. Three-month-old coffee seedlings of similar height were weighed and transplanted into pots and then placed in a greenhouse and grown under 50% shade for 23 weeks. Concentrations of P, K, Ca, Mg, Mn, B, and Zn increased in roots of nematode-free plants growing in Zn-amended soil. The beneficial effects due to the Zn amendment were not apparent in nematode-infected plants. Mn, B, and Zn uptake by coffee roots and P and B concentrations in coffee leaves responded similarly. Management of M. konaensis is necessary to achieve optimal nutrient management in coffee.     

Improved Estimation of Coefficients in Regression Models with Incomplete Prior Information

The method of mixed regression is considered for the estimation of coefficients in a linear regression model when incomplete prior information is available, and two families of improved estimators stemming from Stein-rule are proposed. Their properties are studied when disturbances are normal but small.     

Short-Chain Phosphoinositide Partitioning into Plasma Membrane Models

Phosphoinositides are vital for many cellular signaling processes, and therefore a number of approaches to manipulating phosphoinositide levels in cells or excised patches of cell membranes have been developed. Among the most common is the use of “short-chain” phosphoinositides, usually dioctanoyl phosphoinositol phosphates. We use isothermal titration calorimetry to determine partitioning of the most abundant phosphoinositol phosphates, PI(4)P and PI(4,5)P₂ into models of the intracellular and extracellular facing leaflets of neuronal plasma membranes. We show that phosphoinositide mole fractions in the lipid membrane reach physiological levels at equilibrium with reasonable solution concentrations. Finally we explore the consequences of our results for cellular electrophysiology. In particular, we find that TRPV1 is more selective for PI(4,5)P₂ than PI(4)P and activated by extremely low membrane mole fractions of PIPs. We conclude by discussing how the logic of our work extends to other experiments with short-chain phosphoinositides. For delayed rectifier K⁺ channels, consideration of the membrane mole fraction of PI(4,5)P₂ lipids with different acyl chain lengths suggests a different mechanism for PI(4,5)P₂ regulation than previously proposed. Inward rectifier K⁺ channels apparent lack of selectivity for certain short-chain PIPs may require reinterpretation in view of the PIPs different membrane partitioning.     

具有周期系数和连续时滞的扩散模型的周期解

本文讨论了具有周期系数和连续时滞的竞争扩散模型,得到了保证其存在唯一周期解及全局渐近稳定的充分条件．     

Comparison of Two Shoot--Root Partitioning Models with Respect to Substrate Utilization and Functional Balance

A transport resistance model for shoot—root partitioningby Thornley and a more aggregated partitioning model by Reynoldsand Thornley are compared. Three functional forms of substrateutilization are applied, corresponding to different assumptionson the ability of carbon and nitrogen to compensate one anotherin promoting structural growth. On the basis of simulationsat balanced exponential growth, it is shown that the Reynoldsand Thornley model (in optimal form) is embedded in the Thornleymodel. Davidson's functional balance is studied as a functionof the degree of carbon-nitrogen compensation. The applicabilityof the models and the utilization functions is discussed. Model, shoot-root partitioning, substrate utilization, functional balance     

一类具周期系数的单种群模型及其最优收获策略

文［１］用直接求解的方法,得到了具周期系数的广义Ｌｏｇｉｓｔｉｃ单种群收获模型的最优收获策略．本文在参照并推广文［２］中一类具周期系数的单种群收获模型周期解的全局渐近稳定性结果的基础上,用变分方法得到了其最优收获策略．所得结果包括了许多常见的自治单种群模型所对应的具周期系数的收获模型,如Ｌｏｇｉｓｔｉｃ型［１］,Ｇｉｌｐｉｎ和Ａｙａｌａ型, Ｇｏｍｐｅｒｔｚ型［３］,以及具类似于Ⅱ,Ⅲ类Ｈｏｌｌｉｎｇ型功能性反应的密度制约函数［４,５］的模型等．     

Electron Partitioning between the Cytochrome and Alternative Pathways in Plant Mitochondria

The contribution of the cyanide-resistant, alternative pathway to plant mitochondrial electron transport has been studied using a modified aqueous phase on-line mass spectrometry-gas chromatography system. This technique permits direct measurement of the partitioning of electrons between the cytochrome and alternative pathways in the absence of added inhibitors. We demonstrate that in mitochondria isolated from soybean (Glycine max L. cv Ransom) cotyledons, the alternative pathway contributes significantly to oxygen uptake under state 4 conditions, when succinate is used as a substrate. However, when NADH is the substrate, addition of pyruvate, an allosteric activator of the alternative pathway, is required to achieve the same level of alternative pathway activity. Under state 3 conditions, when the reduction state of the ubiquinone pool is low, the addition of pyruvate allows the alternative pathway to compete with the cytochrome pathway for electrons from the ubiquinone pool when the cytochrome pathway is not saturated. These results provide direct experimental verification of the kinetics consequences of pyruvate addition on the partitioning of electron flow between the two respiratory pathways. This distribution of electrons between the two unsaturated pathways could not be measured using conventional oxygen electrode methods and illustrates a clear advantage of the mass spectrometry technique. These results have significant ramifications for studies of plant respiration using the oxygen electrode, particularly those studies involving intact tissues.     

Calculation of Translocation Coefficients from Phloem Anatomy for use in Crop Models

Translocation coefficients, computed for unit ground area, arerequired in crop models as part of the simulation of the partitioningof assimilates. An equation for translocation is derived byconsidering pressure-driven flow and the physical dimensionsof the pathway in the phloem. Numerical estimates of the translocationcoefficients for grasses and trees are calculated using anatomicaldata. The values found are compatible with published rates oftranslocation in the phloem.Copyright 1995, 1999 Academic Press Model, Münch, phloem, sieve tube, translocation     

Partitioning Detectability Components in Populations Subject to Within-Season Temporary Emigration Using Binomial Mixture Models

Detectability of individual animals is highly variable and nearly always < 1; imperfect detection must be accounted for to reliably estimate population sizes and trends. Hierarchical models can simultaneously estimate abundance and effective detection probability, but there are several different mechanisms that cause variation in detectability. Neglecting temporary emigration can lead to biased population estimates because availability and conditional detection probability are confounded. In this study, we extend previous hierarchical binomial mixture models to account for multiple sources of variation in detectability. The state process of the hierarchical model describes ecological mechanisms that generate spatial and temporal patterns in abundance, while the observation model accounts for the imperfect nature of counting individuals due to temporary emigration and false absences. We illustrate our model’s potential advantages, including the allowance of temporary emigration between sampling periods, with a case study of southern red-backed salamanders Plethodon serratus. We fit our model and a standard binomial mixture model to counts of terrestrial salamanders surveyed at 40 sites during 3–5 surveys each spring and fall 2010–2012. Our models generated similar parameter estimates to standard binomial mixture models. Aspect was the best predictor of salamander abundance in our case study; abundance increased as aspect became more northeasterly. Increased time-since-rainfall strongly decreased salamander surface activity (i.e. availability for sampling), while higher amounts of woody cover objects and rocks increased conditional detection probability (i.e. probability of capture, given an animal is exposed to sampling). By explicitly accounting for both components of detectability, we increased congruence between our statistical modeling and our ecological understanding of the system. We stress the importance of choosing survey locations and protocols that maximize species availability and conditional detection probability to increase population parameter estimate reliability.     

Mathematical Models Light Up Plant Signaling

Plants respond to changes in the environment by triggering a suite of regulatory networks that control and synchronize molecular signaling in different tissues, organs, and the whole plant. Molecular studies through genetic and environmental perturbations, particularly in the model plant Arabidopsis thaliana, have revealed many of the mechanisms by which these responses are actuated. In recent years, mathematical modeling has become a complementary tool to the experimental approach that has furthered our understanding of biological mechanisms. In this review, we present modeling examples encompassing a range of different biological processes, in particular those regulated by light. Current issues and future directions in the modeling of plant systems are discussed.     

A Model to Describe the Partitioning of Photosynthate during Vegetative Plant Growth

An approach is described to the problem of modelling quantitativelythe partitioning of photosynthate during vegetative plant growth.Two plant processes are important in the scheme: the first ofthese is the utilization of substrate for growth and how thisutilization depends upon substrate concentration, the secondconcerns the transport of substrate between different plantparts and how this depends upon the substrate concentrationsin the plant parts. In both cases simple phenomenological relationshave been assumed which seem to be in reasonable accord withexperimental data and with more basic theoretical considerations.The model is able to describe some of the features of steady-statevegetative plant growth in a natural manner. The limitationsof the present formulation are considered, and the implicationsof this type of approach for whole-plant models are discussed.     

Dry Matter Partitioning between Plant Organs in Wheat Cultivars Differing in Productivity and Drought Resistance

In microplot field experiments conducted over the course of 12 years, the accumulation of dry matter was recorded in the leaves, stems, and ears of the primary shoots of plants of four cultivars of spring wheat (Triticum aestivumL.) differing in productivity and drought resistance. The contribution of organs to the accumulation of dry matter by the shoot from emergence to anthesis was calculated, and relative changes in the weight of the ear after anthesis were assessed. In all the cultivars, the contribution of the leaves was the same; however, the share of the ear was greater in short-stem cultivars of the intensive type in which the leaves were more active during the time of grain filling. Furthermore, this load increased, and the relative increment in the ear weight after flowering decreased in the years of drought, because the contribution of the leaves did not depend on water supply during the growing season. During these years, the contribution of the ear increased in the plants of all the cultivars. The authors conclude that, in arid regions, in addition to drought resistance, the cultivar should display such a ratio between the ear weight and the weight of leaves that would still ensure satisfactory grain filling     

Carbohydrate Partitioning and Compartmental Analysis for a Highly Productive CAM Plant, Opuntia ficus-indica

Carbon partitioning patterns of Opuntia ficus-indica, a widelycultivated crassulacean acid metabolism species, were analysedto estimate carbon fluxes. After labelling a cladode with ¹⁴CO₂,activities of ¹⁴C in various organs were measured for 6 weeks;the observed ¹⁴C time-courses for ¹⁴C in the labelled cladodeand for transfer into other organs were simulated with a compartmentmodel. Within the first week, half of the newly synthesizedcarbohydrate in the labelled cladode was either converted intostructural material in that cladode, lost by respiration ofthat cladode, or moved to other organs. In the non-labelledcladode and the roots, such newly synthesized carbohydrate initiallyincreased, reached maxima, and then declined. The basal cladodeand the daughter cladode used 65 and 96%, respectively, of theirown assimilate. Roots imported 12 and 2 % of carbohydrate fromthe basal cladode and the daughter cladode, respectively. Whenthe whole plant was shaded, the daughter cladode incorporatednearly threefold more carbohydrate from the basal cladode intostructural material compared with the control. When plants weredroughted, roots incorporated 23 % more and the daughter cladodeincorporated 68 % less carbohydrate from the basal cladode intotheir structural material than for the control. The basal cladodesof the 18-month-old plants exported 60% more carbon than thoseof the 6-month-old plants. Carbon flux rates derived from compartmentalanalysis can be used as parameter values in plant productionmodels. Carbon partitioning, compartment model, drought, plant age, shading     

Nitrogen Partitioning Within the Potato (Solarium tuberosum L) Plant in Relation to Nitrogen Supply

Nitrogen uptake and partitioning have been studied in field-grownpotato crops which were subjected to N deficiency (no fertilizerN applied), or received large applications of N (20 g N m^–2)at planting. Isolation of part of the root system of the plantsallowed pulses of 1SN to be applied at three different stagesof crop development. Partitioning of ¹⁵N throughout the plantswas followed during a subsequent chase, to distinguish betweenthe use in tuber growth of recently absorbed N, and redistributionof N from the existing N capital of the plant When a pulse of ¹⁵N was applied 26 d after emergence (DAE),the distribution of ¹⁵N within the plant closely followed thatof total N for the duration of the chase, which finished 110DAE. Application of fertilizer N decreased the proportion of¹⁵N recovered in the tubers, while increasing that found inthe canopy, because of an increase in leaf growth, particularlyat the top of the canopy, after 69 DAE. When fertilized plantswere supplied with 18N 69 DAE, a greater proportion of ¹⁵N wasrecovered in new leaf growth during the subsequent chase, thanwhen the ¹⁵N was supplied earlier in the season. It appearsthat current uptake of N is used to augment N pools within thecanopy and, where appropriate, support leaf growth at the endof the season. In contrast, transfer of N into the tubers isby remobilization of the existing N capital, as leaves senesce.The results are discussed in relation to studies of N partitioningin potatoes and other crops Solatium tuberosum, nitrogen-15, uptake, partitioning, pulse-chase     

Unbalanced Repeated Measures with Random Coefficients

In a random coefficient repeated measures model, the regression coefficients relating the observations to some underlying variable, such as time, are themselves taken to be random distributed over experimental units. In this paper, a general approach to repeated measures analysis is extended to this wider model. In the model three specific error structures for the random regression coefficients have been studied, viz, the random coefficients variance matrix is considered to be (i) diagonal, (ii) proportional to the identity matrix and (iii) completely general. An example will be analyzed to illustrate the procedure.     

Partitioning of trace metals in sediments: Relationships with bioavailability

As a result of complex physical, chemical and biological processes, a major fraction of the trace metals introduced into the aquatic environment is found associated with the bottom sediments, distributed among a variety of physico-chemical forms. As these different metal forms will generally exhibit different chemical reactivities, the measurement of the total concentration of a particular metal provides little indication of potential interactions with the abiotic or biotic components present in the environment. In principle, the partitioning of sediment-bound metals could be determined both by thermodynamic calculations (provided equilibrium conditions prevail) and by experimental techniques. The modelling of sediment-bound metals is far less advanced than is that of dissolved species, primarily because the thermodynamic data needed for handling sediment-interstitial water systems are not yet available. The partitioning of a metal among various fractions obtained by experimental techniques (e.g., sequential extraction procedures) is necessarily operationally defined. These methods have, however, provided significant insight into the physico-chemical factors influencing the bioavailability of particulate trace metals; some of these factors are discussed.     

Effects of Warming and Nitrogen Addition on Plant Photosynthate Partitioning in an Alpine Meadow on the Tibetan Plateau

Quantifying plant carbon (C) allocation among different pools is critical for understanding and predicting how C turnover responds to global climate change in terrestrial ecosystems. A field experiment with increasing warming and nitrogen (N) was established to investigate interactive effects on plant C allocation in alpine meadows. Open-top chambers (OTCs) were used to simulate warming. In OTCs, daytime air and soil temperature at 5 cm depth increased by 2.0 and 1.6 °C, respectively, compared with ambient conditions, but soil moisture at 5 cm depth decreased by 4.95% (v/v) from 2012 to 2014. Warming reduced aboveground biomass by 38, 36, and 43% in 2012, 2013, and 2014, respectively, and increased belowground biomass by 64% and 29% in 2013 and 2014, respectively, and the root-to-shoot ratio was significantly increased. Specifically, warming increased the proportion of plant roots in the deep layers (10–20 cm). Both N addition and its combination with warming substantially enhanced belowground biomass. Pulse-labeling experiments for ¹³C revealed that warming reduced the translocation of assimilated C to shoots by 8.8% (38.7% in warming, and 47.5% in the control [CK]), and increased the allocation to root by 12.2% (55.5% in warming, and 43.3% in CK) after 28 days labeling. However, N addition increased the proportion of assimilated C allocated to shoots by 6.5% (54.0% in N addition, and 47.5% in CK), whereas warming combined with N addition reduced this proportion by 10.9%. A decline in soil water content in the surface layer may be the main cause of plants allocating more newly fixed photosynthate to roots. Therefore, plants promoted root growth to draw water from deeper soil layers (10–20 cm). We concluded that climate warming will change the allocation patterns of plant photosynthates by affecting soil water availability, whereas N addition will increase plant photosynthates aboveground in alpine meadows and thus will significantly affect C turnover under future climate change scenarios.

     

Assessment of Genetic Heterogeneity in Structured Plant Populations Using Multivariate Whole-Genome Regression Models

Plant breeding populations exhibit varying levels of structure and admixture; these features are likely to induce heterogeneity of marker effects across subpopulations. Traditionally, structure has been dealt with as a potential confounder, and various methods exist to “correct” for population stratification. However, these methods induce a mean correction that does not account for heterogeneity of marker effects. The animal breeding literature offers a few recent studies that consider modeling genetic heterogeneity in multibreed data, using multivariate models. However, these methods have received little attention in plant breeding where population structure can have different forms. In this article we address the problem of analyzing data from heterogeneous plant breeding populations, using three approaches: (a) a model that ignores population structure [A-genome-based best linear unbiased prediction (A-GBLUP)], (b) a stratified (i.e., within-group) analysis (W-GBLUP), and (c) a multivariate approach that uses multigroup data and accounts for heterogeneity (MG-GBLUP). The performance of the three models was assessed on three different data sets: a diversity panel of rice (Oryza sativa), a maize (Zea mays L.) half-sib panel, and a wheat (Triticum aestivum L.) data set that originated from plant breeding programs. The estimated genomic correlations between subpopulations varied from null to moderate, depending on the genetic distance between subpopulations and traits. Our assessment of prediction accuracy features cases where ignoring population structure leads to a parsimonious more powerful model as well as others where the multivariate and stratified approaches have higher predictive power. In general, the multivariate approach appeared slightly more robust than either the A- or the W-GBLUP.     

Biomass Partitioning in Tomato Plants Infected with Meloidogyne incognita

Tomato plants were inoculated with Meloidogyne incognita at initial populations (Pi) of 0, 1, 10, 50, 100, and 200 (x 1,000) eggs per plant and maintained in a growth chamber for 40 days. Total fresh biomass (roots + shoots) at harvest was unchanged by nematode inoculation with Pi of 1 x 10⁵ eggs or less. Reductions in fresh shoot weight with increasing Pi coincided with increases in root weight. Total fresh biomass declined with Pi above 1 x 10⁵ eggs, whereas total dry biomass declined at Pi above 1 x 10⁴ eggs. The greatest reduction percentages in fresh shoot biomass induced by root-knot nematodes occurred in the stem tissue, followed by the petiole + rachis; the least weight loss occurred in the leaflets. Although biomass varied among shoot tissues, the relationship between biomass of various shoot tissues and Pi was described by quadratic equations. The linear and quadratic coefficients of the equations (stem, petiole + rachis, or leaflets on Pi) did not differ among tissues when calculations were based on standardized values. Meloidogyne incognita-infected plants had thinner leaves (leaf area/leaf weight) than did uninfected plants. Reductions in leaf weight and leaf area with nematode inoculation occurred at nodes 5-15 and 4, 6-14, respectively. Losses in plant height and mass due to nematodes reflected shorter internodes with less plant mass at each node.