Association Among IRF6 Polymorphism, Environmental Factors, and Nonsyndromic Orofacial Clefts in Western China

2009 ◽  
Vol 28 (5) ◽  
pp. 249-257 ◽  
Author(s):  
Zhong-Lin Jia ◽  
Yang Li ◽  
Ling Li ◽  
Jun Wu ◽  
Lu-Ying Zhu ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Western China ◽  
Orofacial Clefts

Association Among Polymorphisms at MYH9, Environmental Factors, and Nonsyndromic Orofacial Clefts in Western China

2010 ◽  
Vol 29 (1) ◽  
pp. 25-32 ◽  
Author(s):  
Zhong-Lin Jia ◽  
Yang Li ◽  
Chun-Hui Chen ◽  
Sheng Li ◽  
Yan Wang ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Western China ◽  
Orofacial Clefts

scholarly journals Effect of Environmental Factors on the Germination and Emergence of Drunken Horse Grass (Achnatherum inebrians)

Weed Science ◽  
2020 ◽  
pp. 1-29
Author(s):  
Yonghuan Yue ◽  
Guili Jin ◽  
Weihua Lu ◽  
Ke Gong ◽  
Wanqiang Han ◽  
...  
Keyword(s):  
Seed Germination ◽  
Environmental Factors ◽  
Abiotic Factors ◽  
Seedling Emergence ◽  
Management Strategies ◽  
Germination Percentage ◽  
Western China ◽  
Burial Depth ◽  
Achnatherum Inebrians ◽  
Water Ph

Abstract Drunken horse grass [Achnatherum inebrians (Hance) Keng] is a perennial poisonous weed in western China. A comprehensive understanding of the ecological response of A. inebrians germination to environmental factors would facilitate the formulation of better management strategies for this weed. Experiments were conducted under laboratory conditions to assess the effects of various abiotic factors, including temperature, light, water, pH and burial depth, on the seed germination and seedling emergence of A. inebrians. The seeds germinated at constant temperatures of 15, 20, 25, 30, 35°C and in alternating-temperature regimes of 15/5, 20/10, 25/15, 30/20, 35/25, 40/30°C, and the seed germination percentages under constant and alternating temperatures ranged from 51% to 94% and 15% to 93%, respectively. Maximum germination occurred at a constant temperature of 25°C, and germination was prevented at 45/35°C. Light did not appear to affect seed germination. The germination percentage of seeds was more than 75% in the pH range of 5 to 10, with the highest germination percentage at pH 6. The seeds germinated at osmotic potentials of 0 MPa to -1.0 MPa, but decreasing osmotic potential inhibited germination, with no germination at -1.2MPa. After 21 d of low osmotic stress, the seeds that did not germinate after rehydration had not lost their vitality. The seedling emergence percentage was highest (90%) when seeds were buried at 1 cm but declined with increasing burial depth and no emergence at 9 cm. Deep tillage may be effective in limiting the seed germination and emergence of this species. The results of this study provide useful information on the conditions necessary for A. inebrians germination and provide a theoretical basis for science-based prediction, prevention and control of this species.

Association Between Polymorphisms at Small Ubiquitin-Like Modifier 1 and Nonsyndromic Orofacial Clefts in Western China

2010 ◽  
Vol 29 (11) ◽  
pp. 675-680 ◽  
Author(s):  
Zhong-Lin Jia ◽  
Yang Li ◽  
Tian Meng ◽  
Bing Shi
Keyword(s):  
Western China ◽  
Orofacial Clefts

scholarly journals AFLP-based genetic diversity of wild orchardgrass germplasm collections from Central Asia and Western China, and the relation to environmental factors

PLoS ONE ◽  
2018 ◽  
Vol 13 (4) ◽  
pp. e0195273 ◽  
Author(s):  
Chenglin Zhang ◽  
Ming Sun ◽  
Xinquan Zhang ◽  
Shiyong Chen ◽  
Gang Nie ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Environmental Factors ◽  
Central Asia ◽  
Western China ◽  
Germplasm Collections

scholarly journals The Role of Environmental Factors in the Etiology of Nonsyndromic Orofacial Clefts

2020 ◽  
Vol 31 (1) ◽  
pp. 113-116 ◽  
Author(s):  
Mekonen Eshete ◽  
Azeez Butali ◽  
Fikre Abate ◽  
Taye Hailu ◽  
Abiye Hailu ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Orofacial Clefts

scholarly journals The Nexus between Poverty and the Environment: A Case Study of Lijiang, China

2020 ◽  
Vol 12 (3) ◽  
pp. 1066 ◽  
Author(s):  
Ping Gao ◽  
Shenghe Liu ◽  
Wei Qi ◽  
Honggang Qi
Keyword(s):  
Environmental Factors ◽  
Socioeconomic Factors ◽  
Poverty Alleviation ◽  
Policy Formulation ◽  
Western China ◽  
Factors Affecting ◽  
Spatial Differences ◽  
Administrative Unit ◽  
Administrative Units ◽  
And Control

Highlighting the nexus between poverty and environment is essential to promote poverty alleviation and sustainable development. This study analyzed spatial differences and environmental factors influencing poverty incidence and reduction using spatial statistical methods and GeoDetector tools. It focused on Lijiang in the Hengduan Mountains of western China as the case area. The results indicate a notable decline in poverty incidence in most Lijiang villages during 2014–2018 under China’s poverty alleviation strategy. However, there are distinct spatial differences for both poverty incidence and reduction. The main environmental factors affecting poverty incidence and reduction are available water storage and geological hazard risks. Socioeconomic factors such as administrative unit and distance to city center also play a key role. The anti-poverty policies in various administrative units have the most significant influence. However, existing policy formulation mainly considers elevation factor in mountainous areas. This study suggests that water resources and geological hazards should also be highly considered, and not only elevation. It is imperative to promote the construction of water conservancy facilities and improve the prevention and control of geological disasters. Moreover, targeted poverty alleviation should focus on, not only policy or socioeconomic factors, but also main environmental factors affecting poverty incidence and reduction.

scholarly journals SBDM v1.0: A scaling-based discretization method for the Geographical Detector Model

2018 ◽  
Author(s):  
Xiaoyu Meng ◽  
Xin Gao ◽  
Shengyu Li ◽  
Wenjing Huang ◽  
Jiaqiang Lei
Keyword(s):  
Environmental Factors ◽  
Western China ◽  
Accurate Information ◽  
Discretization Method ◽  
One Dimensional ◽  
Discretization Methods ◽  
Geographical Detector ◽  
Cover Ratio ◽  
Detector Model ◽  
Response Variables

Abstract. Geographical Detector Model (GDM) can be used to assess the affinity between potential environmental factors and the response variables. If environmental factors entered are continuous, the first step for application of GDM is to discretize the continuous variable into category strata with an appropriate discretization method. Many one-dimensional discretization methods have been arbitrarily applied to GDM but failed to obtain the optimal strata of environmental factors, resulting in an inaccurate model output. In this paper, we present the Scaling-Based Discretization Method (SBDM) as a novel discretization method that can be used to obtain the optimal strata for GDM. The SBDM takes the power of determinant as a criterion function through upscaling and downscaling processes to obtain the optimal discretization. The software was tested with two case studies: (1) The distance to river was discretized with SBDM to reveal the effect of rivers on the sand cover ratio in the Maowusu (Mu Us) Sandy Land, northern China. The SBDM obtained more accurate information for the influence of rivers on the sand cover ratio than the results from Priori Knowledge discretization method. (2) Seven environmental factors were discretized using SBDM to detect potential associations between these factors and NDVI spatial pattern in Xinjiang, north-western China. Then we compared the q values from SBDM with the values from four commonly used one-dimensional discretization methods, demonstrating that for all considered factors, SBDM gets a larger q value than other methods. Collectively, SBDM offers a new way for data discretization that accurately reveals the relationship between controlling factors and response variables.

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