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Hapseeker:A C++ Program for Analyzing Haplotype
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作者 谌平 郑伟 王留阳 《Agricultural Science & Technology》 CAS 2009年第3期1-2,6,共3页
The C++ program: Hapseeker was developed to analyze DNA or RNA sequence, besides, Hapseeker could be used to identify haplotype, calculate frequency of each haplotype as well as find variable site quickly. Moreover, H... The C++ program: Hapseeker was developed to analyze DNA or RNA sequence, besides, Hapseeker could be used to identify haplotype, calculate frequency of each haplotype as well as find variable site quickly. Moreover, Hapseeker had many advantages such as simple operation, rapid running speed and high accuracy. 展开更多
关键词 Hapseeker Hapseeker C variable site
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Monitoring of Soil Bulk Density in Context with Its Small-Scale Spatial Heterogeneity 被引量:2
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作者 Miloš Širáň Jarmila Makovníková 《Journal of Geoscience and Environment Protection》 2021年第5期138-151,共14页
The main aim of soil monitoring system is to obtain the knowledge of the most current state and development of soil properties according to concrete threats to soil. To determine the significant changes of soil proper... The main aim of soil monitoring system is to obtain the knowledge of the most current state and development of soil properties according to concrete threats to soil. To determine the significant changes of soil properties in time, it is important to know spatial variability of concrete soil parameter for concrete site. Only those time changes of the soil parameter are significant, which exceed its spatial variability at the site. The main aim of the study has been focused on the evaluation of small-scale site heterogeneity of equilibrium soil bulk density and the integration of impact of this heterogeneity in evaluation of degradation process of soil compaction in time. As site variation coefficients have considerably varied at standard sampling with five repetitions during monitoring period, one-time detail spatial variability mapping of soil bulk density was realized at 17 repetitions on five selected monitoring sites with different soil type, texture and use. This increase in the number of sampling points helped us to specify and stabilize the values of variation coefficients (between minimum and maximum by standard sampling) as well as the extent of confidence intervals. Standard deviations at the chosen monitoring sites moved from 0.039 to 0.118 g·cm<sup><span style="font-family:Verdana;"><span style="color:#4F4F4F;font-family:-apple-system, " font-size:16px;white-space:normal;background-color:#ffffff;"="">-</span>3</span></sup><span style="font-family:Verdana;"> in topsoil and from 0.031 to 0.067 g·cm</span><sup><span style="font-family:Verdana;"><span style="color:#4F4F4F;font-family:-apple-system, " font-size:16px;white-space:normal;background-color:#ffffff;"="">-</span>3</span></sup><span style="font-family:Verdana;"> in subsoil and expressed as variation coefficient 2.9% - 9.2% and 2.0% - 4.9%, respectively. The intervals of significant time changes of soil bulk density for the sites and depths were determined on the base of its site confidence interval (95%) and uncertainty rate of its measure methodology. The time changes of bulk density values between single year-to-year sampling were overlapped by this interval of significant changes to obtain significant bulk density changes in time. This method allowed us to distinguish significant time changes in soil bulk density from insignificant ones. The bulk density value changes on the monitoring sites were significant in the range of six to nine years within observed period 2002-2014 in both depths.</span> 展开更多
关键词 Soil Monitoring Soil Bulk Density SPATIAL Site and Time Variability Significant Time Change
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