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SongMei M.A.,Shihezi University | Yingbin N.I.E.,Xinjiang Academy of Agri Reclamation science | Jian N.I.,Chinese Academy of Sciences | Xin M.A.,Shihezi University

Species distribution models are very useful to estimate a species’ geographical distribution potential especially in vast and arid desert areas, where a plenty of endemic and/or rare species are sparsely populated. Eastern Central Asian desert (ECAD) is one of the taxonomically important geographical units. Modeling the species geographical distribution in the area is challenging because the known distribution sites of species necessary for model formation are limited. To identify methods most suitable for modeling in these conditions, three leading models namely the Maximum Entropy (Maxent), Genetic Algorithm for Rule-set Prediction (GARP) and Domain at predicting distributions of 13 endemic genera in ECAD were taken into account. The chosen species in this area vary in distribution characteristics and with available distribution points ranging from 8 to 109. The receiver operating characteristic (ROC) method and the jackknife test were employed to evaluate model predictivity. For species with occurrence localities ranging from 27 to 109, we found that Maxent and Domain performed similarly according to the area under the ROC curve (AUC), however; the visualized predictions of Domain were found greatly affected by the spatial structure of the know distribution sites of species. GARP presented the lowest AUC values among the three methods tested here and overprediction. For species with limited occurrence localities ranging from 8 to 16, jackknife tests indicated that both Maxent and GARP yielded statistically significant predictions, while Domain failed. © 2014 Society for Plant Research. All rights reserved. Source

Jin H.,Chinese Academy of Agricultural Sciences | Zhang Y.,Chinese Academy of Agricultural Sciences | Li G.,Shandong Academy of Agricultural Sciences | Mu P.,Xinjiang Academy of Agri Reclamation science | And 3 more authors.
Journal of Cereal Science

High-molecular-weight glutenin (HMW-GS) and low-molecular-weight glutenin (LMW-GS) subunits play an important role in determining wheat quality. To clarify the contribution of each subunit/allele to processing quality, 25 near-isogenic lines with different HMW-GS and LMW-GS compositions grown at two locations during the 2010 cropping season were used to investigate the effects of allelic variation on milling parameters, mixograph properties, raw white Chinese noodle (RWCN) and northern style Chinese steamed bread (NSCSB) qualities. The results showed that Glu-B1 and Glu-B3 made a large contribution to determining mixograph properties and processing quality, respectively. Subunit pairs 17 + 18 and 5 + 10, and alleles Glu-A3b, Glu-A3d, Glu-B3g and Glu-D3f made significant contributions to mixograph properties and no significant difference was detected on most parameters of RWCN and NSCSB for the allelic variation of HMW-GS and LMW-GS. The allelic interactions among glutenin loci had significant effects on wheat quality. The line with 1, 17 + 18, 2 + 12, Glu-A3c, Glu-B3b, Glu-D3c associated with superior mixograph properties, the line with 1, 7 + 9, 2 + 12, Glu-A3c, Glu-B3d, Glu-D3c had superior viscoelasticity of RWCN, and the line with 1, 7 + 9, 2 + 12, Glu-A3e, Glu-B3b, Glu-D3c had the highest total score of NSCSB. These results provide useful information for genetic improvement of the qualities of traditional Chinese wheat products. © 2012 Elsevier Ltd. Source

Ma S.M.,Shihezi University | Nie Y.B.,Xinjiang Academy of Agri Reclamation science | Duan X.,Forestry Bureau of Guyang County of Baotou city of Inner Mongolia | Yu C.S.,Forestry Bureau of Darhan Muminggan Joint Banner of Inner Mongolia | Wang R.X.,Forestry Seedling Station of Bayannur Meng of Nei Mongol Autonomous Region
Shengtai Xuebao/ Acta Ecologica Sinica

Basing on the distribution data from field investigation, using GIS and ecological niche model (MAXENT) to simulate, analysis, and to reveal the potential distributions, patterns and determinant factors of Amygdalus mongolica in the Central Asian Desert. Buffer analysis, based on the appending of average occurrence probability of A.mongolica in different areas and the land use (principal highway, railway, and residents) data of our study area, was carried out for confirming the protection priority of different populations. Results show: (1) the potential distributions concentrated in Alax and East Gobi of Mongolia, in bayannur, Alxa Zuoqi, Ordos Plateau and western XiLin GuoLengmeng of Inner Mongolia, in central and eastern areas of Hexi Corridor, in northern Ningxia Hui Autonomous Region and Shaanxi province, and in the part areas of northern Heibei province; (2) the distribution-influencing factors of A.mongolica are mainly the extreme temperature and precipitation: the extremely low temperature and the most dought season precipitation;(3) the disturbance of human activities to suitable habitats of A. mongolica was evaluated quantitatively, and the obtained core and buffer areas of reserves, and can guide in situ conservation and protection priority of different populations of this species very well. © 2015, Ecological Society of China. All rights reserved. Source

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