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Liu J.,Forestry Research Institute of Hebei Province | Li S.,Forestry Research Institute of Hebei Province | Zhang A.,Forestry Research Institute of Hebei Province | Zhao W.,Forestry Research Institute of Hebei Province | And 2 more authors.
Cereal Chemistry | Year: 2017

The volatile components from 13 commercially valuable foxtail millets from China were investigated by means of gas chromatography-mass spectrometry combined with simultaneous distillation extraction. A total of 52 volatile compounds were identified in all of the samples: 19 aldehydes, 5 alcohols, 10 ketones, 9 hydrocarbons, 6 benzene derivatives, and 3 others. Here, 23 common constituents were found in all samples. Aldehydes were the predominant volatile components in various cultivars. The importance of each volatile was assessed on the basis of odor thresholds and odor activity values (OAVs). Here, 35 volatile compounds were described using aroma character, and 24 volatile compounds were found to be odor-active compounds. Another 11 common constituents were found in all samples. The components with the highest OAVs in most cultivars were (E)-2-nonenal and (E,E)-2,4-decadienal. Most of the other aldehydes also had high OAVs. Some of the ketones, alcohols, benzene derivatives, and other compounds were found to contain an odor-active compound in several cultivars of foxtail millet. Principal component analysis was employed to evaluate the differences among cultivars. The results demonstrated that the volatile profile based on the OAVs of aroma compounds enabled good differentiation of most cultivars. © 2017 AACC International, Inc.


Kang L.,Harbin Institute of Technology | Zhang Y.,Harbin Institute of Technology | Zou B.,Harbin Institute of Technology | Wang C.,Forestry Research Institute of Hebei Province
International Geoscience and Remote Sensing Symposium (IGARSS) | Year: 2015

Compared to traditional SAR, high-resolution PolSAR not only can provide texture and geometry information, but also can provide polarimetric information, which have been used extensively for various surface features recognition. Traditional methods only based on images characteristics which don't apply to high-resolution PolSAR images interpretation, causing the algorithm redundancy and low recognition rate. However, human's image cognition system is an efficient and intelligent image processing system, which nothing can be comparable to in targets recognition. Based on human image cognition mechanism, a new method for features recognition in PolSAR images is proposed in this paper to overcome above shortcomings. The proposed method utilizes hierarchical cognition model to identify different features: the first layer is visual cognition, the second layer is logical cognition and the third layer is psychology cognition. Image segmentation and visual sensitive features extraction and integration are applied in visual cognition to derive preliminary recognition results. Based on the results from first procedure, fuzzy logic theory and Neural Network Model are both utilized in logical cognition. Background characteristics are utilized to identify features precisely in psychology cognition. The whole cognitive procedure is under the guidance of a priori knowledge, which is represented in accordance with production rules. Experiments are conducted over the EMISAR L-band PolSAR data and the E-SAR L-band PolSAR data. The results show that the proposed method can effectively and precisely identify different features in PolSAR images. © 2015 IEEE.


Zou B.,Harbin Institute of Technology | Zhang Y.,Harbin Institute of Technology | Wang C.,Forestry Research Institute of Hebei Province | Cheng Y.,Product Quality Supervision and Inspection Institute of Harbin
International Geoscience and Remote Sensing Symposium (IGARSS) | Year: 2015

PolSAR images have been used extensively for various surface features recognition and buildings recognition is an important research topic of PolSAR image interpretation. Traditional methods are only based on PolSAR image characteristics and lack subjective knowledge of human image cognition, making low target recognition rate and algorithm redundancy. To overcome this shortcoming, based on human image cognition mechanism, a new method for buildings recognition in PolSAR images is proposed in this paper. The proposed method utilizes hierarchical cognition model to identify buildings: the first layer is visual cognition and the second layer is logical cognition. In visual cognition, visual sensitive features are extracted and integrated under the guidance of a priori knowledge to derive preliminary recognition results. In logical cognition, based on the results from first process, fuzzy logic theory and Neural Network Model are both utilized to identify buildings precisely. The whole cognition procedure is guided by the knowledge, which is represented in accordance with production rules. Experiments are conducted over the EMISAR L-band PolSAR data, the E-SAR L-band PolSAR data and Convair-SAR C-band PolSAR data. The results show that the proposed method can identify buildings from PolSAR images effectively and precisely. © 2015 IEEE.


Ma S.-J.,Beijing Forestry University | Zhu S.-L.,State owned Forest Administration of Lvliangshan Mountain | Li W.,Beijing Forestry University | Ouyang K.-X.,Beijing Forestry University | And 2 more authors.
Forestry Studies in China | Year: 2010

A full-length cDNA sequence of xyloglucan endotransglycosylase gene (XET), abundantly expressed in the cambium of Anthocephalus chinensis was cloned by conserved PCR, rapid-amplification of cDNA ends and by chromosome walking. Analytical results of the DNA sequence show that a 912 bp complete open reading frame (ORF) encoded a 303-amino acid protein was in the 1205 bp full cDNA sequence. The deduced amino acid sequence of AcXET, which contained the conserved specific EIDFE catalytic site sequence to XETs was homologous to the other known XET proteins. In order to study the gene function of AcXET and obtain transgenic plants, a plant expression vector pBIAcXET was constructed by recombinating the AcXET fragment from the cloning vector pMD19AcXET and the binary vector pBI121 between the XbaI and SmaI sites. The fragment of AcXET gene was inserted between the CaMV 35S promotor and the coding region of the GUS gene in pBI121. The identification results show that the plant expression binary vector pBIAcXET was constructed successfully. These results lay the foundation for studying the molecular mechanism of AcXET gene during wood formation. © Beijing Forestry University and Springer Berlin Heidelberg 2010.


Liu J.,Forestry Research Institute of Hebei Province | Li X.,Hebei University of Science and Technology | Zhao W.,Forestry Research Institute of Hebei Province | Zhang Y.,Forestry Research Institute of Hebei Province
ICAE 2011 Proceedings: 2011 International Conference on New Technology of Agricultural Engineering | Year: 2011

Volatile flavour compounds were extracted by solid-phase micro-extraction (SPME), gas chromatography-mass spectrometry (GC-MS) was established to determine the volatile flavour compounds in millet porridge under different heating time(10 min, 20 min, and 30 min). 43 compounds were determined, including 12 aldehydes, 8 alcohols, 18 hydrocarbons, 3 ketones, 1 heterocyclic compound and 1 acid. Aldehydes were dominant part of volatile compounds, following hydrocarbons, and content of other volatile compounds were lower. With increasing of heating time, total content of every kind of volatile compounds incresed, total relative content of aldehydes, alcohols, and ketones decreased, total relative content of hydrocarbons and others increased. © 2011 IEEE.


Wang G.-P.,Chinese Academy of Agricultural Sciences | Wang G.-P.,Forestry Research Institute of Hebei Province | Yu X.-D.,Chinese Academy of Agricultural Sciences | Sun Y.-W.,Chinese Academy of Agricultural Sciences | And 2 more authors.
Frontiers in Plant Science | Year: 2016

Horizontal transfer of antibiotic resistance genes to animals and vertical transfer of herbicide resistance genes to the weedy relatives are perceived as major biosafety concerns in genetically modified (GM) crops. In this study, five novel vectors which used gusA and bar as a reporter gene and a selection marker gene, respectively, were constructed based on the pCLEAN dual binary vector system. Among these vectors, 1G7B and 5G7B carried two T-DNAs located on two respective plasmids with 5G7B possessing an additional virGwt gene. 5LBTG154 and 5TGTB154 carried two T-DNAs in the target plasmid with either one or double right borders, and 5BTG154 carried the selectable marker gene on the backbone outside of the T-DNA left border in the target plasmid. In addition, 5BTG154, 5LBTG154, and 5TGTB154 used pAL154 as a helper plasmid which contains Komari fragment to facilitate transformation. These five dual binary vector combinations were transformed into Agrobacterium strain AGL1 and used to transform durum wheat cv Stewart 63. Evaluation of the co-transformation efficiencies, the frequencies of marker-free transgenic plants, and integration of backbone sequences in the obtained transgenic lines indicated that two vectors (5G7B and 5TGTB154) were more efficient in generating marker-free transgenic wheat plants with no or minimal integration of backbone sequences in the wheat genome. The vector series developed in this study for generation of marker- and/or backbone-free transgenic wheat plants via Agrobacterium-mediated transformation will be useful to facilitate the creation of “clean” GM wheat containing only the foreign genes of agronomic importance. © 2016 Wang, Yu, Sun, Jones and Xia.


Mi W.-J.,Forestry Research Institute of Hebei Province | Liu K.-D.,Beijing Forestry University | Zhao Y.-G.,Forestry Research Institute of Hebei Province | Zheng C.-X.,Beijing Forestry University | And 3 more authors.
Beijing Linye Daxue Xuebao/Journal of Beijing Forestry University | Year: 2011

Soil salinization is one of the major causes of ecological deterioration in the Datong Basin, Shanxi Province. We analyzed the soil salinization in the Datong Basin and investigated the cultivation of salt-tolerant plant species and their tolerant capacity .The results showed that the climate of the Datong Basin is cold, dry and windy; soil salinization is very serious and vegetation is sparse. Fifteen species were first selected for the cultivation experiment in salinized soil; the survival rate of the first six species decreased in order as follows: Lycium chinense, Populus alba var.pyramidali, Tamarix chinensis, Ulmus pumil, Elaeagnus angustifolia and Salix matsudana. Further, six local species were selected to study the effect of salinity stress on their morphological characteristics, photosynthetic rate, stomatal resistance, transpiration rate, intercellular CO2 concentration and the cell membrane permeability. Comprehensive evaluation showed that the salinity tolerance decreased in the order of Tamarix chinensis > Lycium chinense > Pinus sylvestris var.mongolica > Juniperus rigida > Ulmus pumila > Populus alba var.pyramidali.


Liu J.,Forestry Research Institute of Hebei Province | Xiong S.,Huazhong Agricultural University | Yuzong Z.,Forestry Research Institute of Hebei Province | Zhao S.,Huazhong Agricultural University | Zhao W.,Forestry Research Institute of Hebei Province
ICAE 2011 Proceedings: 2011 International Conference on New Technology of Agricultural Engineering | Year: 2011

Volatile compounds of cooked sliver carp muscles extracted by simultaneous distillation and extraction (SDE) and solid phase microextraction (SPME) were analyzed by gas chromatography-mass spectrometry (GC-MS) and gas chromatography-olfactometry (GC-O). GC-MS results indicated that total 85 volatile flavor compounds were identified, including aldehydes, alcohols, ketones, acids, esters, hydrocarbons and heterocyclic compounds. SPME provided better extraction for a lower molecular mass, and SDE provided better extraction for a higher molecular mass. GC-O results indicated that total 23 odor character compounds were identified, aldehydes were the important odor compounds. More detailed compositions of volatile compounds and odor character of cooked sliver carp muscles could be identified by GC-MS combined with GC-O. © 2011 IEEE.


Xue Y.,Forestry Research Institute of Hebei Province | Yang Z.,Forestry Research Institute of Hebei Province | Wang X.,Forestry Research Institute of Hebei Province | Lin Z.,Forestry Research Institute of Hebei Province | And 2 more authors.
PLoS ONE | Year: 2016

Casuarina equisetifolia is commonly planted and used in the construction of coastal shelterbelt protection in Hainan Island. Thus, it is critical to accurately estimate the tree biomass of Casuarina equisetifolia L. for forest managers to evaluate the biomass stock in Hainan. The data for this work consisted of 72 trees, which were divided into three age groups: Young forest, middle-Aged forest, and mature forest. The proportion of biomass from the trunk significantly increased with age (P<0.05). However, the biomass of the branch and leaf decreased, and the biomass of the root did not change. To test whether the crown radius (CR) can improve biomass estimates of C. equisetifolia, we introduced CR into the biomass models. Here, six models were used to estimate the biomass of each component, including the trunk, the branch, the leaf, and the root. In each group, we selected one model among these six models for each component. The results showed that including the CR greatly improved the model performance and reduced the error, especially for the young and mature forests. In addition, to ensure biomass additivity, the selected equation for each component was fitted as a system of equations using seemingly unrelated regression (SUR). The SUR method not only gave efficient and accurate estimates but also achieved the logical additivity. The results in this study provide a robust estimation of tree biomass components and total biomass over three groups of C. equisetifolia. © 2016 Xue et al.This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


PubMed | Forestry Research Institute of Hebei Province
Type: Journal Article | Journal: PloS one | Year: 2016

Casuarina equisetifolia is commonly planted and used in the construction of coastal shelterbelt protection in Hainan Island. Thus, it is critical to accurately estimate the tree biomass of Casuarina equisetifolia L. for forest managers to evaluate the biomass stock in Hainan. The data for this work consisted of 72 trees, which were divided into three age groups: young forest, middle-aged forest, and mature forest. The proportion of biomass from the trunk significantly increased with age (P<0.05). However, the biomass of the branch and leaf decreased, and the biomass of the root did not change. To test whether the crown radius (CR) can improve biomass estimates of C. equisetifolia, we introduced CR into the biomass models. Here, six models were used to estimate the biomass of each component, including the trunk, the branch, the leaf, and the root. In each group, we selected one model among these six models for each component. The results showed that including the CR greatly improved the model performance and reduced the error, especially for the young and mature forests. In addition, to ensure biomass additivity, the selected equation for each component was fitted as a system of equations using seemingly unrelated regression (SUR). The SUR method not only gave efficient and accurate estimates but also achieved the logical additivity. The results in this study provide a robust estimation of tree biomass components and total biomass over three groups of C. equisetifolia.

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