共查询到20条相似文献，搜索用时 62 毫秒
1.
L. I. Belykh I. A. Ryabchikova V. A. Seryshev E. E. Penzina S. S. Timofeeva 《Eurasian Soil Science》2007,40(2):176-186
New methodological approaches and an algorithm for the quantitative assessment of accumulating a substance by a plant (C p ) with due regard for its concentration in the soil (C n ) are proposed. The first approach is the approximation of concentration curves by the functions C p = f(C n ) and their parameters. The second one is the standardization of the coefficients of biological sorption (K b ) of a substance upon its stable concentration in the soil using the function K b = f(C n ). As compared to the variation-statistical values of the mean and extreme concentrations, or the coefficients K b , the proposed parameters are characterized by a higher accuracy and sensitivity. They may be successfully used for quantitative studies of the mechanism and the intensity of the absorption of substances by plants, for the prediction of the accumulation of substances in the trophic chain, and the assessment of soil self-purification (detoxification) and comparative ratings. 相似文献
2.
The seasonal changes in the contents and compositions of n-alkanes and n-methyl ketones have been studied in typical soddy-podzolic soils (Albic Retisols (Ochric)) under lime forests in the Losiny Ostrov National Park, Moscow. In the humus horizons, the reserves (about 370 mg/m2) of odd n-alkanes with the chain length of C25–C35—the biomarkers of terrestrial vegetation—are 4–5 times below their amount entering with the leaf falloff in autumn. A noticeable contribution of microbial biomass hydrocarbons to the lipid fraction in the AY and AYel horizons manifests itself in the increased fraction of odd and medium-chain (<C25) homologues (OEP = 4–6, LSR = 5–7) in the spectrum of n-alkanes. The lowest content of methyl ketones and odd n-alkanes was observed immediately after the winter period (OEP = 22, A/K = 21–170). In the EL and BT horizons, the n-alkane fraction of organic matter and the relative content of high molecularweight n-alkanes more resistant to microbial destruction (C33, C35) increases by 3–4 times in comparison with that in the abovelying horizons, and the type of distribution of n-alkanes by the carbon chain length changes: the dominance of odd homologues is absent; in the EL horizon, OEP = 1. 相似文献
3.
Vadim Girichev Marcel von Reth Magda-Viola Hanke Monika Höfer Erik Schulte Henryk Flachowsky 《Genetic Resources and Crop Evolution》2018,65(7):1979-1993
Raspberry cane disease, caused by a complex of fungi, is amongst the most devastating problems for raspberry production. Using resistant or highly tolerant genotypes is a promising strategy. However, until now, cultivars with good field resistance for German fruit growers as well as the primary causal pathogens of cane disease present in the eastern part of Germany, Saxony state are still unknown. The primary objective of this study was to identify the primary disease causing organisms and resistant Rubus germplasm for future breeding efforts. From 2012 to 2014, we evaluated the degree of susceptibility to cane diseases on 213 raspberry cultivars at two different locations using a rating scale. We also identified the main fungi growing on infected canes. Our results suggest that Fusarium avenaceum is the main fungus causing cane disease in Saxony. The Rubus hybrid cultivars ‘Tayberry’ (2n?=?6x?=?42), ‘Buckingham Tayberry’ (2n?=?6x?=?42) and ‘Dorman Red’ (2n?=?2x?=?14) displayed the highest levels of field resistance at both locations. Moreover, we established an in vitro assay for resistance evaluation which correlates significantly with field data and is particularly suitable for quick assessment of resistance against F. avenaceum in breeding material. Future breeding programs, aiming at cultivars with enhanced resistance towards cane diseases can use the presented data for parental selection and may employ our in vitro F. avenaceum inoculation method for parental testing and progeny selection. 相似文献
4.
Purpose
Forest soil respiration is an important component of global carbon budgets, but its spatial variation is inadequately understood. This research aimed to measure soil respiration (R s), soil water content (M s-5), soil temperature (T), and carbon dioxide (M co2) in a coastal protection forest (CPF), which is one kind of man-made forests designed for coastal protection primarily along the coast in China, to determine the relationships among them, and to analyze their spatial distributions in a small scale.Materials and methods
We measured R s, M s-5, T, and M co2 of 100 plots in an approximately flat grid (totally 4 hm2) by LI-8100A in a Casuarina equisetifolia L. forest on a state-owned forest farm of 326 hm2 in SE China. Traditional statistics and geo-statistics including semivariance, Moran’s I index, and fractal dimension were used to analyze data.Results and discussion
Key findings were that (1) the spatial mean of R s, M s-5, T, and M co2 were 1.194 μmol m?2 s?1, 11.387 mmol mol?1, 14.153 °C, and 407.716 ppm, respectively, in the forest; (2) the relationship between soil respiration and the other three factors was weak, while M s-5, T, and M co2 have strong relationships with each other; and (3) the four factors, especially soil respiration, had strong autocorrelation within given limits and showed great heterogeneity with 95 % confidence intervals around the means in the study area, all of which can provide important value for the study of carbon cycling and for the sustainable management of coastal protection forests.Conclusions
According to geo-statistical analysis and field investigations, soil respiration in the coastal forest is less than in some broad-leaf forests but higher than in some conifers. Strong heterogeneity and autocorrelation are clear; however, its relation with other three factors is weak. CPF is a considerable potential forest for carbon conservation if it is well managed.5.
A recent study of lady beetle antennae was a small sample repeated measures design involving a complex covariance structure. Distributions of test statistics based on mixed models fitted to such data are unknown, but two recently developed methods for approximating the distributions of test statistics in mixed linear models have been included as options in the latest release of the MIXED procedure of SAS®. One method (FC, from Fai and Cornelius) computes degrees of freedom of an approximating F distribution for the test statistic using spectral decomposition of the hypothesis matrix together with repeated application of a method for single-degree-of-freedom tests. The other method (KR, from Kenward and Roger) adjusts the estimated covariance matrix of the parameter estimates, computes a scale adjustment to the test statistic, and computes the degrees of freedom of an approximating F distribution. Using the two methods, p values for a hypothesis of interest in the lady beetle study were quite different. Simulation studies on the Proc MIXED implementation of these methods showed that Type I error rates of both methods are affected by covariance structure complexity, sample size, and imbalance. Nonetheless, the KR method performs well in situations with fairly complicated covariance structures when sample sizes are moderate to small and the design is reasonably balanced. The KR method should be used in preference to the FC method, although it had inflated Type I error rates for complex covariance structures combined with small sample sizes. 相似文献
6.
Because soil hydraulic properties are indispensable for determining soil water retention and soil solute movement, their input for simulation models is essential. Many of these parameters cannot be estimated directly at the scale of interest, but can only be derived through inverse modeling. During this process, the parameters are generally adjusted using least-squares approach with Levenberg–Marquardt (LM) algorithms in which numerically simulated models are fitted to measured data. In this study we used a new inverse method to estimate the unsaturated soil hydro-dispersive properties from in-situ experiments. The method employs complex-variable-differentiation method (CVDM) to accurately predict of the hydraulic properties of the van Genuchten–Mualem models (θr, θs, α, ks, n). To the knowledge of the authors, it is first study use CVDM in soil physics. The optimization procedure was performed by using a continuous data set of daily in situ soil water content and bromide concentration measurements. Estimated parameters during the inversion showed high correlation (R2 = 0.88, RMSE = 0.013 and the model efficiency CE = 0.77) by using the CVDM-methods with the actual field measurements, compared with the traditional LM-algorithm (R2 = 0.81, RMSE = 0.021 and CE = 0.626). The results show that the new inverse analysis in the present work has the high accuracy, validity, uniqueness, and higher inversion efficiency. Meanwhile, the convergence and stability of the modified LM-algorithm are improved. Overall, it was concluded that the CVDM is promising method to estimate hydro-dispersive parameters in soil physics. 相似文献
7.
G. Mirzaghaderi H. Shahsevand Hassani G. Karimzadeh 《Genetic Resources and Crop Evolution》2010,57(3):319-324
C-banded pattern in two accessions of Thinopyrum bessarabicum (Save ex Rayss) A. Löve (2n = 2x = 14, EbEb) and their idiogram was established. C-banding analysis was further used to identify the chromosomes of Tritipyrum amphiploid (2n = 6x = 42, AABBEbEb) and a BC1F2 genotype from wheat and Tritipyrum. Two 18S-26S rDNA loci were detected on Th. bessarabicum chromosomes by in situ hybridization using an 18S-26S rDNA probe. Eb chromosomes in Tritipyrum generally were identified by their distinctive C-banding patterns which reflected heterochromatin regions. C-banding procedure resulted in sharp and distinct bands in one or both ends of Eb chromosomes without interval bands. Observed C-bands in Eb genome mainly reflected the telomeric and subtelomeric sequences which also showed more strong signals in genomic in situ hybridization. Results showed the importance of the C-banding technique as a screening tool in identification of addition and substitution lines in the progenies of wheat and Tritipyrum crosses during segregating generations. 相似文献
8.
Qiang Feng Wenwu Zhao Jingyi Ding Xuening Fang Xiao Zhang 《Journal of Soils and Sediments》2018,18(3):775-790
Purpose
We attempt to describe the cover and management (C) factor more comprehensively through the use of a simple and efficient method.Materials and methods
We measure the coverage of each vegetation layer and C factor for 152 sampled plots in the Ansai watershed. We propose four stratified coverage indices (green coverage (V G), total coverage (V T), probability coverage (V P), weight coverage (V W)), derive green and yellow vegetation indices from Landsat 8 OLI images to reflect green and residue cover, and construct and validate C factor estimation models from stratified coverage and remote sensing indices, respectively.Results and discussion
(1) V T and V P present C factor estimation advantages for grassland and shrub land. V W can better illustrate the C factor due to the relatively complete spatial structuring of woodland and orchard land. For cropland, four stratified coverage indices present the same estimation capacities for the C factor. Except for cropland and grassland, the estimation capabilities of V G are relatively low because the residue layer is ignored. (2) The C factor is more sensitive to yellow vegetation indices, which indicates that senescent fractional cover and litter are important and cannot be ignored. The linear and non-linear models can explain 56.6 and 61.8% of C factor variation, respectively, and the linear model is more accurate than the non-linear model. (3) Compared to traditional indices (projective coverage and single remote sensing indices), stratified coverage indices and a combination of several remote sensing indices can estimate the C factor more effectively.Conclusions
At the field scale, the C value estimation model can be selected according to the land-use type. At the watershed and regional scales, a linear model is recommended for C factor estimation.9.
Maya Lekshmi Adhini S. Pazhany V. P. Sobhakumari Mylottazhikam N. Premachandran 《Genetic Resources and Crop Evolution》2017,64(7):1553-1560
A hybrid between Erianthus arundinaceus (Retz.) Jeswiet and Saccharum spontaneum L. which are wild related species of sugarcane (Saccharum L., Family Poaceae), was repeatedly crossed as female parent with sugarcane commercial varieties to develop near commercial sugarcane clones. The cytoplasm type of the hybrid derivatives were confirmed to be of E. arundinaceus through the mitochondrial and chloroplast DNA polymorphism of nad 4/3-4 intron segment and psbC–trnS segment, respectively. The E. arundinaceus × S. spontaneum hybrid with somatic chromosome number 2n = 62 was confirmed to have 30 chromosomes from E. arundinaceus through genomic in situ hybridization (GISH). The (E. arundinaceus × S. spontaneum) × sugarcane hybrid (2n = 118) had 24 chromosomes from E. arundinaceus whereas its next generation hybrid with sugarcane (2n = 108) had only 12 Erianthus chromosomes. The commercial sugarcane hybrid Co 15015, which is the third generation hybrid with 2n = 106 was confirmed to have two E. arundinaceus chromosomes through GISH. It is the first report of sugarcane with both alien cytoplasm and chromosome contributions from E. arundinaceus. 相似文献
10.
Vincenzo Bagarello Vito Ferro Vincenzo Pampalone Paolo Porto Francesca Todisco Lorenzo Vergni 《Journal of Soils and Sediments》2018,18(12):3365-3377
Purpose
The USLE-MM estimates event normalized plot soil loss, Ae,N, by an erosivity term given by the runoff coefficient, QR, times the single-storm erosion index, EI30, raised to an exponent b1?>?1. This modeling scheme is based on an expected power relationship, with an exponent greater than one, between event sediment concentration, Ce, and the EI30/Pe (Pe = rainfall depth) term. In this investigation, carried out at the three experimental sites of Bagnara, Masse, and Sparacia, in Italy; the soundness of the USLE-MM scheme was tested.Materials and methods
A total of 1192 (Ae,N, QREI30) data pairs were used to parameterize the model both locally and considering all sites simultaneously. The performances of the fitted models were established by considering all erosive events and also by distinguishing between events of different severity.Results and discussion
The b1 exponent varied widely among the three sites (1.05–1.44) but using a common exponent (1.18) for these sites was possible. The Ae,N prediction accuracy increased in the passage from the smallest erosion events (Ae,N?≤?1 Mg ha?1, median error =?3.35) to the largest ones (Ae,N?>?10 Mg ha?1, median error =?1.72). The QREI30 term was found to be usable to predict both Ae,N and the expected maximum uncertainty of this prediction. Soil erodibility was found to be mainly controlled by the largest erosion events.Conclusions
Development of a single USLE-MM model appears possible. Sampling other sites is advisable to develop a single USLE-MM model for a general use.11.
Purpose
There is a paucity of data regarding the multiple timescale variations of heterotrophic respiration (R H) and autotrophic respiration (R A) as well as the primary controlling factors. The objective of this study is to find the temporal variations of total soil respiration (R S) and its components, revealing the driving factors at different timescales.Materials and methods
A trenching method was used to distinguish R S, R H, and R A in a spruce-fir valley forest in northeastern China. We used the closed dynamic chamber method to measure the soil respiration rate. Analyses of R S, R H, and R A in relation to biotic and abiotic factors were conducted to realize the temporal variations at different timescales.Results and discussion
Only R S and R H showed a distinct diurnal variation and soil temperature (T S) can explain 68 and 59 % of the daily variation, respectively. R S, R H, and R A showed a pronounced, single peak curve seasonally, and T S can explain 11–95 % of the seasonal variation. Soil moisture (W S) maintained at a relatively high level and was not related to R S, R H, or R A on a seasonal scale, and there was no significant relationship between the seasonal R S, R A, and root biomass. However, for 5 years, only the mean R A of the growing season was significantly related to the mean W S, which can explain 39 % of the inter-annual variation of R A. The annual variations of litterfall and the relative growth rate of stems were not related to R S, R H, or R A. The contribution of R H to R S was larger, and the temperature sensitivity was 2.01–3.71 for R S, 1.90–3.08 for R H, and 2.20–5.65 for R A.Conclusions
R S, R H, and R A show different temporal variations at multiple timescales. When W S is not restricted, T S is the primary driving factor of daily and seasonal variation of R S and R H. In this site, R H accounts for a large proportion of R S and plays a crucial role in determining the magnitude and temporal variation of R S.12.
Steven W. Effler Christopher Strait David M. O’Donnell Adam J.P. Effler Feng Peng Anthony R. Prestigiacomo Susan M. O’Donnell MaryGail Perkins Steve C. Chapra 《Water, air, and soil pollution》2017,228(4):153
An optics theory-based mechanistic model for Secchi disk depth (Z SD) is advanced, tested, and applied for Cayuga Lake, NY. Robust data sets supported the initiative, including for (1) Z SD, (2) multiple light attenuation metrics, most importantly the beam attenuation (c) and particulate scattering (b p) coefficients, and (3) measures of constituents responsible for contributions to b p by phytoplankton (b o) and minerogenic particles (b m). The model features two serially connected links. The first link supports predictions of b p from those for b o and b m. The second link provides predictions of Z SD based on those for b p, utilizing an earlier optical theory radiative transfer equation. Recent advancements in mechanistically strong estimates of b m, empirical estimates of b o, and more widely available bulk measurements of c and b p have enabled a transformation from a theory-based conceptual to this implementable Z SD model for lacustrine waters. The successfully tested model was applied to quantify the contributions of phytoplankton biomass, and minerogenic particle groups, such as terrigenous clay minerals and autochthonously produced calcite, to recent b p and Z SD levels and dynamics. Moreover, it has utility for integration as a submodel into larger water quality models to upgrade their predictive capabilities for Z SD. 相似文献
13.
Yu. V. Egorov I. I. Sudnitsyn A. V. Kirichenko 《Moscow University Soil Science Bulletin》2016,71(4-5):165-170
The contamination of heavy loamy chernozem by iron, sodium, magnesium, calcium, and hydrogen chlorides (2% of soil mass) decreases soil moisture content (W, percent of soil mass) in the interval of the soil moisture pressure (Р) from 0.0 to–0.6 atm, which indicate soil degradation. In a range of P from–0.2 to–0.6 atm, there is a close correlation between the logarithm of Р module (log|P|) and W and, therefore, a regression relationship log|P W | = |P 0|–kW, where |P 0| and k are empirically determined parameters. This relationship is similar to the Landau–Deryagin law. The parameters |P 0| and k are also in a close correlation, which is described by the regression equation |P 0| = 29.3k–0.557. At chernozem contamination by chlorides, the |P 0| and k parameters become smaller, and so they may be used for the evaluation of degradation of chloride-contaminated soils. 相似文献
14.
The saturated hydraulic conductivity (Ks) of the soil is one of the main soil physical properties. Indirect estimation of this parameter using pedo-transfer functions (PTFs) has received considerable attention. The Purpose of this study was to improve the estimation of Ks using fractal parameters of particle and micro-aggregate size distributions in smectitic soils. In this study 260 disturbed and undisturbed soil samples were collected from Guilan province, the north of Iran. The fractal model of Bird and Perrier was used to compute the fractal parameters of particle and micro-aggregate size distributions. The PTFs were developed by artificial neural networks (ANNs) ensemble to estimate Ks by using available soil data and fractal parameters. There were found significant correlations between Ks and fractal parameters of particles and microaggregates. Estimation of Ks was improved significantly by using fractal parameters of soil micro-aggregates as predictors. But using geometric mean and geometric standard deviation of particles diameter did not improve Ks estimations significantly. Using fractal parameters of particles and micro-aggregates simultaneously, had the most effect in the estimation of Ks. Generally, fractal parameters can be successfully used as input parameters to improve the estimation of Ks in the PTFs in smectitic soils. As a result, ANNs ensemble successfully correlated the fractal parameters of particles and micro-aggregates to Ks. 相似文献
15.
Shoji Ohta 《Genetic Resources and Crop Evolution》2017,64(8):2009-2020
Aegilops geniculata Roth, a wild relative of wheat (2n = 4x = 28, genome UUMM), is distributed over the Mediterranean basin and nearby areas. The species consists of two subspecies, subsp. geniculata and subsp. gibberosa (Zhuk.) Hammer. The former is distributed over the whole species area and has been genetically analyzed, and the latter is endemic to Spain and North Africa and has not been genetically evaluated. In this study, to clarify the genetic variation and delineation of the two subspecies from a biosystematic viewpoint, morphological variation among 23 accessions of subsp. geniculata and three of subsp. gibberosa and chromosome pairing at meiosis and fertility in their intra- and inter-subspecific F1 hybrids were examined. A principal component analysis based on the 11 spike characteristics clearly divided the 26 accessions into two groups representing the two subspecies. The inter-subspecific F1 hybrids showed significantly lower frequencies of chromosome pairing, significantly higher frequencies of multivalents, and significantly lower fertilities relative to those of the intra-subspecific F1 hybrids. It was concluded that wide-ranging cytogenetic variation is included in subsp. geniculata, that subsp. gibberosa, the intra-subspecific variation of which is small, is morphologically and cytogenetically differentiated from subsp. geniculata beyond the range of the intra-subspecific variation of subsp. geniculata, and that the two subspecies are effectively isolated reproductively by hybrid sterility. The results strongly suggested that western North Africa is one of the important diversity centers of Ae. geniculata, where two subspecies were differentiated in the past and grow together in the present. 相似文献
16.
J. S. Penha A. C. A. Lopes R. L. F. Gomes J. B. Pinheiro J. R. Assunção Filho E. A. Silvestre J. P. G. Viana J. Martínez-Castillo 《Genetic Resources and Crop Evolution》2017,64(6):1355-1364
Lima bean (Phaseolus lunatus L.) is an important food source in Brazil, especially in the northeast region, where its production and consumption are high. The goals of the present study were to estimate natural outcrossing rates and genetic diversity levels of Lima bean from Brazil, using ten microsatellite loci to obtain information for their conservation and breeding. Fourteen accessions were selected from an experiment in field with open-pollinated and with the presence of pollinating insects. Twelve seeds of each of the 14 selected accessions were grown in screenhouse for tissue harvest and DNA extraction. The multilocus model was used to determine the reproductive system. The outcrossing rate was 38.1 % (tm = 0.381; ts = 0.078), and the results indicated a mixed mating system with a predominance of selfing (1 ? tm = 61.9 %). The biparental inbreeding rate was high (t m ? t s = 0.303) and the multilocus correlated paternity was quite high (r p(m) = 0.889), indicating that the progeny was mostly composed of full sibs. The average effective number of pollen donors per maternal plant (N ep ) was low (1.12), and the fixation index for maternal genotypes (F m ) was 0.945, indicating that most genitors resulted from inbreeding. The studied families presented considerable genetic variability: A = 6.10; %P = 30; H e = 0.60 and H o = 0.077. Total diversity was high (H T = 0.596), and a portion was distributed within families (H S = 0.058). In addition, diversity was higher between families (D ST = 0.538), and genetic differentiation was high (G ST = 0.902). The results presented here can be used in the implementation of Lima bean conservation and breeding programs in Brazil. 相似文献
17.
Genetic consequences of silvicultural management of Leucaena esculenta subsp. esculenta were analyzed from eight allozyme loci in half-sib families of one wild and one managed in situ (selectively cleared) population from La Montaña de Guerrero region, Central Mexico. A reference sample (including wild, feral and cultivated individual plants) from the states of Morelos, Puebla and Guerrero, Mexico was also analyzed. Genetic variation, population structure and mating system were analyzed. All loci showed high variation (75–87.5% polymorphic loci at 95% level; 2.4–2.8 mean number of alleles per locus). All progenies showed heterozygous deficiency, but both wild and managed parental inbreeding coefficients were negative, suggesting heterosis. Progenies of managed populations differed from those of the wild and reference samples (Nei’s unbiased identities 0.874–0.934). Biparental inbreeding is suggested by Wright’s-statistics ( f = 0.313), and by outcrossing rate estimates: tm = 0.644 (SE 0.094), and 0.645 (SE 0.193); ts = 0.576 (SE 0.189), and 0.523 (SE 0.182), for managed and wild samples respectively. Population differentiation is significant (Θ = 0.210). The species is self-incompatible and deviations from the mixed mating model were found. Indirect estimates of products of effective population size (Ne) by the proportion of migrants (Nm) were moderate, as were the N evalues. Variation due to ecotypic differentiation (related to altitude), prolonged artificial selection, and introduction from other areas is supported. A model of domestication of seed-propagated trees is suggested, based on extensive and in situ selection of locally adapted populations, and their diffusion to other areas. 相似文献
18.
Cuttings of black willow (Salix nigra), a naturally occurring wetland species, are used for restoration and streambank stabilization. As an adaptation to their wetland habitat, this species develops aerenchyma tissue to avoid root anoxia. To determine the effects of combined copper and ultraviolet-B radiation exposure on aerenchyma tissue (measured as root porosity), black willow cuttings were grown hydroponically and exposed to three ultraviolet-B (UV-B) intensities and three Cu concentrations in a completely randomized 3?×?3 factorial design. While both UV-B (F 2,42?=?11.45; p?=?0.0001) and Cu (F 2,42?=?6.14; p?=?0.0046) exposure increased root porosity, total biomass decreased in response to both UV-B (F 2,43?=?3.36; p?=?0.0441) and to Cu (F 2,43?=?4.03; p?=?0.0249). Root biomass decreased only in response to Cu (F 2,41?=?3.41; p?=?0.0427) resulting in a decrease in the root/shoot ratio (F 2,42?=?3.5; p?=?0.0393). Copper exposure also resulted in a decrease in the number of leaves/shoot (F 2,42?=?7.03; P?=?0.0023). No UV-B and Cu interaction was found. While the present research indicates the negative effects of Cu contamination and elevated UV-B intensities on S. nigra, it also points out potential mechanisms that S. nigra uses to alleviate these stresses. 相似文献
19.
Purpose
Developing routine methods that accurately predict soil nitrogen (N) mineralization is essential for fertilization recommendation; thus, chemical soil testing has received worldwide attention. However, the optimal chemical soil test for predicting soil N mineralization is region specific. This study aimed to determine suitable chemical soil tests for predicting N mineralization in paddy soils of the Dongting Lake region, China.Materials and methods
Composite surface samples (0–20 cm) of soils (n?=?30) with diverse inherent properties were collected from representative paddy fields across the region. The benchmark indices for soil N mineralization were the net mineralization rate of soil N in a 112-day anaerobic incubation under waterlogged conditions (NMRN112) and N mineralization potential (N o ) estimated using a modified double exponential model. Laboratory-based measurements of soil labile organic N (SLON) were conducted using chemical fractionation methods including 0.01 M NaHCO3 extraction, hot 2 M KCl hydrolysis, phosphate-borate (PB) buffer hydrolysis, acidic KMnO4 oxidation, and alkaline KMnO4 oxidation. These were compared with the benchmark indices to assess their suitability for use as indicators for N mineralization.Results and discussion
Acidic KMnO4-oxidative organic N (acidic KMnO4-N) and PB buffer-hydrolysable organic N (PBHYDR-N) correlated strongly with NMRN112 and N o (r?=?0.825–0.884, P?<?0.001, n?=?30). Grouping of soils based on soil texture generally provided no improvement in the relationships of chemical soil tests with NMRN112 and N o . Multiple stepwise regression analysis indicated that combining acidic KMnO4-N and PBHYDR-N yielded the best prediction of soil N mineralization, explaining 86.1 and 85.5 % of the variation in NMRN112 and N o , respectively, of the 30 tested paddy soils.Conclusions
The results of acidic KMnO4-N and PBHYDR-N as indicators for soil N mineralization were promising, and the operations of acidic KMnO4 oxidation and PB buffer hydrolysis procedures are simple and cost-effective. Therefore, a combination of acidic KMnO4-N and PBHYDR-N shows promise in predicting N mineralization in paddy soils of the Dongting Lake region. However, further calibration through field studies is required and the chemical characteristics of acidic KMnO4-N and PBHYDR-N needs to be further clarified.20.
Vitellaria paradoxa C. F. Gaertn., commonly known as shea tree or Vitellaria, is ranked the most important tree species of the savannah regions in the most African countries due to its ecological and economic importance for livelihoods and national economies. However, the savannah regions are the most vulnerable areas to the global climate change. Moreover, the Vitellaria populations on farmlands are threatened by the dominance of old trees with low or lack of regeneration. In this study both morphological and genetic diversity were assessed using several phenotypic traits and 10 microsatellite markers, respectively, to assess the impact of land use and agro-ecozone types on Vitellaria in Ghana. The land use types were forests and farmlands, and the agro-ecozone types included the Transitional, Guinea, and Sudan savannah zones. The mean values of morphological traits, such as diameter at breast height (DBH) and canopy diameter (CD), were statistically different between forest (DBH = 22.20, CD = 5.37) and farmland (DBH = 39.85 CD = 7.49) populations (P < 0.00001). The Sudan savannah zone with mean petiole length of 4.96 cm showed significant difference from the other zones, likely as a result of adaptation to drier climate conditions. Genetic data analysis was based on 10 microsatellite markers and revealed high genetic diversity of Vitellaria in Ghana: mean expected heterozygosity, H e was 0.667, and allelic richness, measured as number of effective alleles A e , was 4.066. Both farmlands and forests were very diverse indicating lack of negative influence of farmer’s selection on genetic diversity. Fixation index was positive for all populations (mean F IS = 0.136) with farmlands recording relatively higher values than forests in all ecological zone types studied, probably indicating less gene flow in the farmlands. Moderate differentiation (F′ ST = 0.113) was comparable to other similar tree species. Both land use and ecological zone types influenced genetic differentiation of Vitellaria at varying levels. The species was spatially structured across three ecozones and following climatic gradient. The forest reserves are used in situ conservation for Vitellaria in Ghana. High diversity observed in the most arid zones provides opportunity to find and use appropriate plant materials for breeding climate change resilient trees. 相似文献