中国羽枝藻属新资料

1.山西羽枝藻 新种 图1:1—4 Cloniophora shanxiensis Y. J. Ling et S. L. Xie, sp. nov. Species affnis C. spicatae (Schmid.) Islam, sed primariis ramulis irregularibus alternatisvel oppositis, pyrenoidibus solitariis, ramuli cellulis apprime irregularibus differt. Thallo caespitoso, usque ad 5 cm longo; rhizoideis e filamenti cellulis basalibus angustis     

留兰香组织培养及快速繁殖条件的优化

以留兰香(Menthaspicata L.)茎尖为实验材料,对外植体消毒、不定芽增殖和试管苗移栽生根的最佳条件进行研究。结果表明,最佳外植体消毒方法为:用体积分数75%乙醇浸泡30s,再用1.0g·L-1HgCl2浸泡10min,培养7d后外植体生长状况良好。正交实验结果表明,在附加0.2mg·L-16-BA和0.02mg·L-1NAA的MS培养基中,留兰香不定芽的增殖倍数最高,试管苗生长状况最好。在含25mg·L-16-BA和50mg·L-1NAA的混合溶液中浸泡1h,移栽试管苗的生根率可达100%,且根较长。     

IDENTIFICATION OF CRYPTIC SPECIES IN THE LESSONIA NIGRESCENS COMPLEX (PHAEOPHYCEAE,LAMINARIALES)1

The kelp Lessonia nigrescens Bory is the most ecologically and economically important seaweed in rocky intertidal and shallow subtidal habitats along the temperate Pacific South American coasts. Recent molecular studies suggest the existence of two lineages, one (northern lineage) from 17° S to 30° S and a second (central lineage) from 29° S to 41° S. To identify and name these lineages we performed morphological, nomenclatural and field studies. Four external and three internal anatomical traits permitted a morphological separation of the two lineages. The internal structure of both lineages was different from the isolectotype of Lessonia nigrescens. It is therefore concluded that the name Lessonia nigrescens should not be used for the Chilean material. Chordaria spicata Suhr appears as the oldest available name for the central lineage, while Lessonia berteroana Montagne is the oldest name for the northern lineage. In both cases, the type material consisted of small‐sized, apical branches of larger plants. The new combination Lessonia spicata (Suhr) Santelices is proposed for the central lineage and we reinstate Lessonia berteroana for the northern lineage. Laminaria scissa Suhr is reduced to synonym of L. spicata. Representative specimens of Lessonia nigrescens were not found during new visits to its type locality in Cape Horn and along Chile. Future studies should verify the status of this species.     

Polyploidy: a missing link in the conversation about seed transfer of a commonly seeded native grass in western North America

The use of local, native plant materials is now common in restoration but testing for polyploidy in seed sources is not. Diversity in cytotypes across a landscape can pose special seed transfer challenges, because the methods used to determine genetically appropriate materials for seed transfer do not account for cytotypic variation. This lack of consideration may result in mixing cytotypes through revegetation, which could reduce long‐term population viability. We surveyed nine populations of a native bunchgrass, Pseudoroegneria spicata, in three EPA Level III Ecoregions in the western United States to determine the frequency of polyploidy, whether there are differences in traits (phenotype, fecundity, and mortality) among plants of different cytotypes, and whether cytotype frequency varies among ecoregions. We assessed trait variation over 2 years in a common garden and determined ploidy using flow cytometry. Polyploidy and mixed cytotype populations were common, and polyploids occurred in all ecoregions. Four of the nine populations were diploid. The other five had tetraploids present: three had only tetraploid individuals whereas two had mixed diploid/tetraploid cytotypes. There was significant variation in traits among cytotypes: plants from tetraploid populations were larger than diploid or mixed populations. The frequency and distribution of cytotypes make it likely that seed transfer in the study area will inadvertently mix diploid and polyploid cytotypes in this species. The increasing availability of flow cytometry may allow ploidy to be incorporated into native plant materials sourcing and seed transfer.     

Microsatellite markers isolated from saltgrass (Distichlis spicata)

Twelve polymorphic microsatellite DNA loci were isolated from saltgrass (Distichlis spicata) and optimized for future studies of its breeding system. The loci were screened for variability among 24 individuals from two populations. The primers amplified loci with numbers of alleles ranging from four to 14 per locus and polymorphic information content from 0.481 to 0.951. Observed heterozygosity varied from 0.227 to 0.958.     

Essential Oils with 1,2-Epoxy-p-menthane Derivatives from Mentha spicata Plants Growing Across the Island of Crete

The essential oil content and composition of Mentha splcata plants, collected from 11 localities, scattered across the island of Crete (S. Greece), have been studied. The qualitative and quantitative essential oil analyses by means of CC and GC-MS, have shown that these are characterized by a high quantity of trans-piperitone oxide and/or piperitenone oxide. The pattern of essential oil quantitative variation follows a NW→SE direction on Crete. Along this direction, the total essential oil content of the plants increased whereas, the essential oil components formed via the pathway leading to the formation of cis-piperitone oxide are gradually substituted by those leading to the formation of trans-piperitone oxide.     

遮荫对山麦冬生长特性和生物量分配的影响

研究了不同遮荫水平（遮光率分别为:对照0%、 20%、50%、70%～75%、80%～85%、92.5%）对山麦冬生长以及生物量分配特性的影响。结果表明,随着遮荫程度的加重,山麦冬的生物量增量表出现先上升后下降的趋势,在遮荫50%水平下生物量增量达到最高;随光强减弱同化物分配发生改变,叶重比增加,根重比和根冠比下降。此外,遮荫还提高了植株的含水量和冠径。我们还观察到强光环境和深度遮荫均不利于花序、分蘖和块根的形成。因此,我们认为山麦冬作为耐荫植物对光环境具有一定的适应能力,强光或严重遮荫均不利于其正常生长发育。     

Predicting germination response to temperature. III. Model validation under field-variable temperature conditions

BACKGROUND AND AIMS: Two previous papers in this series evaluated model fit of eight thermal-germination models parameterized from constant-temperature germination data. The previous studies determined that model formulations with the fewest shape assumptions provided the best estimates of both germination rate and germination time. The purpose of this latest study was to evaluate the accuracy and efficiency of these same models in predicting germination time and relative seedlot performance under field-variable temperature scenarios. METHODS: The seeds of four rangeland grass species were germinated under 104 variable-temperature treatments simulating six planting dates at three field sites in south-western Idaho. Measured and estimated germination times for all subpopulations were compared for all models, species and temperature treatments. KEY RESULTS: All models showed similar, and relatively high, predictive accuracy for field-temperature simulations except for the iterative-probit-optimization (IPO) model, which exhibited systematic errors as a function of subpopulation. Highest efficiency was obtained with the statistical-gridding (SG) model, which could be directly parameterized by measured subpopulation rate data. Relative seedlot response predicted by thermal time coefficients was somewhat different from that estimated from mean field-variable temperature response as a function of subpopulation. CONCLUSIONS: All germination response models tested performed relatively well in estimating field-variable temperature response. IPO caused systematic errors in predictions of germination time, and may have degraded the physiological relevance of resultant cardinal-temperature parameters. Comparative indices based on expected field performance may be more ecologically relevant than indices derived from a broader range of potential thermal conditions.     

Predicting germination response to temperature. II. Three-dimensional regression, statistical gridding and iterative-probit optimization using measured and interpolated-subpopulation data

BACKGROUND AND AIMS: Most current thermal-germination models are parameterized with subpopulation-specific rate data, interpolated from cumulative-germination-response curves. The purpose of this study was to evaluate the relative accuracy of three-dimensional models for predicting cumulative germination response to temperature. Three-dimensional models are relatively more efficient to implement than two-dimensional models and can be parameterized directly with measured data. METHODS: Seeds of four rangeland grass species were germinated over the constant-temperature range of 3 to 38 degrees C and monitored for subpopulation variability in germination-rate response. Models for estimating subpopulation germination rate were generated as a function of temperature using three-dimensional regression, statistical gridding and iterative-probit optimization using both measured and interpolated-subpopulation data as model inputs. KEY RESULTS: Statistical gridding is more accurate than three-dimensional regression and iterative-probit optimization for modelling germination rate and germination time as a function of temperature and subpopulation. Optimization of the iterative-probit model lowers base-temperature estimates, relative to two-dimensional cardinal-temperature models, and results in an inability to resolve optimal-temperature coefficients as a function of subpopulation. Residual model error for the three-dimensional model was extremely high when parameterized with measured-subpopulation data. Use of measured data for model evaluation provided a more realistic estimate of predictive error than did evaluation of the larger set of interpolated-subpopulation data. CONCLUSIONS: Statistical-gridding techniques may provide a relatively efficient method for estimating germination response in situations where the primary objective is to estimate germination time. This methodology allows for direct use of germination data for model parameterization and automates the significant computational requirements of a two-dimensional piece-wise-linear model, previously shown to produce the most accurate estimates of germination time.