scholarly journals Selection of Appropriate Spatial Resolution for the Meteorological Data for Regional Winter Wheat Potential Productivity Simulation in China Based on WheatGrow Model

Agronomy ◽  
2018 ◽  
Vol 8 (10) ◽  
pp. 198 ◽  
Author(s):  
Xiaohu Zhang ◽  
Hao Xu ◽  
Li Jiang ◽  
Jianqing Zhao ◽  
Wenjun Zuo ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Spatial Heterogeneity ◽  
Spatial Variation ◽  
Spatial Resolution ◽  
Scale Effect ◽  
Meteorological Data ◽  
Small Range ◽  
Potential Productivity ◽  
Selection Of ◽  
Effect Index

The crop model based on physiology and ecology has been widely applied to the simulation of regional potential productivity. By determining the appropriate spatial resolution of meteorological data required for model simulation for different regions, we can reduce the difficulty of acquiring model input data, thereby improving the regional computing efficiency of the model and increasing the model applications. In this study, we investigated the appropriate spatial resolution of meteorological data needed for the regional potential productivity simulation of the WheatGrow model by scale effect index and verify the feasibility of using the landform to obtain the appropriate spatial resolution of meteorological data required by the potential productivity simulation for the winter wheat region of China. The research results indicated that the spatial variation of landforms in the winter wheat region of China is significantly correlated to the spatial variation of multi-year meteorological data. Based on the scale effect index, we can obtain a spatial distribution of appropriate spatial resolution for the meteorological data required for the regional potential productivity simulation of the WheatGrow model for the winter wheat region of China. Moreover, although we can use the spatial heterogeneity of landforms to guide the selection of appropriate spatial resolution for the meteorological data, in the regions where the spatial heterogeneity of the landform is relatively weak or relatively strong over a small range, the method of using a single heterogeneity index derived from semi-variogram cannot well reflect the scale effect of simulation results and needs further improvement.

scholarly journals Quantifying the spatial variation in the potential productivity and yield gap of winter wheat in China

2017 ◽  
Vol 16 (4) ◽  
pp. 845-857 ◽  
Author(s):  
Shi-yuan ZHANG ◽  
Xiao-hu ZHANG ◽  
Xiao-lei QIU ◽  
Liang TANG ◽  
Yan ZHU ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Spatial Variation ◽  
Yield Gap ◽  
Potential Productivity

COMBINATORIAL POLYNOMIALLY COMPUTABLE CHARACTERISTICS OF SUBSTITUTIONS AND THEIR PROPERTIES

2020 ◽  
Vol 7 (2) ◽  
pp. 34-41
Author(s):  
VLADIMIR NIKONOV ◽  
◽  
ANTON ZOBOV ◽  
Keyword(s):  
Mathematical Expectation ◽  
Point Of View ◽  
Small Range ◽  
Computational Point ◽  
Wide Range ◽  
Bijective Function ◽  
The Difference ◽  
Element Base ◽  
Selection Of

The construction and selection of a suitable bijective function, that is, substitution, is now becoming an important applied task, particularly for building block encryption systems. Many articles have suggested using different approaches to determining the quality of substitution, but most of them are highly computationally complex. The solution of this problem will significantly expand the range of methods for constructing and analyzing scheme in information protection systems. The purpose of research is to find easily measurable characteristics of substitutions, allowing to evaluate their quality, and also measures of the proximity of a particular substitutions to a random one, or its distance from it. For this purpose, several characteristics were proposed in this work: difference and polynomial, and their mathematical expectation was found, as well as variance for the difference characteristic. This allows us to make a conclusion about its quality by comparing the result of calculating the characteristic for a particular substitution with the calculated mathematical expectation. From a computational point of view, the thesises of the article are of exceptional interest due to the simplicity of the algorithm for quantifying the quality of bijective function substitutions. By its nature, the operation of calculating the difference characteristic carries out a simple summation of integer terms in a fixed and small range. Such an operation, both in the modern and in the prospective element base, is embedded in the logic of a wide range of functional elements, especially when implementing computational actions in the optical range, or on other carriers related to the field of nanotechnology.

WINTER WHEAT DEVELOPED BY THE UDMURT RESEARCH INSTITUTE OF AGRICULTURE IN COMPETITIVE VARIETY TESTING

2020 ◽  
pp. 5-16
Author(s):  
I.V. TORBINA ◽  
◽  
I.R. FARDEYEVA ◽  
Keyword(s):  
Winter Wheat ◽  
Crop Rotation ◽  
Biological Characteristics ◽  
Commercial Use ◽  
Breeding Material ◽  
Rotation Pattern ◽  
Selection Of ◽  
Variety Testing ◽  
Made In ◽  
Research Institute

The paper assesses the promising varieties of winter wheat in a competitive variety test by the main economic and biological characteristics that determine the suitability of the variety for commercial use. The object of research was the authors’ own breeding material. The experiments on the selection of winter wheat were made in the experimental crop rotation pattern of the Institute.

scholarly journals Genomic Prediction and Indirect Selection for Grain Yield in US Pacific Northwest Winter Wheat Using Spectral Reflectance Indices from High-Throughput Phenotyping

2019 ◽  
Vol 21 (1) ◽  
pp. 165 ◽  
Author(s):  
Dennis N. Lozada ◽  
Jayfred V. Godoy ◽  
Brian P. Ward ◽  
Arron H. Carter
Keyword(s):  
Winter Wheat ◽  
Pacific Northwest ◽  
Prediction Accuracy ◽  
Indirect Selection ◽  
Yield Potential ◽  
High Yield ◽  
High Throughput Phenotyping ◽  
Reflectance Indices ◽  
Selection Of ◽  
High Yield Potential

Secondary traits from high-throughput phenotyping could be used to select for complex target traits to accelerate plant breeding and increase genetic gains. This study aimed to evaluate the potential of using spectral reflectance indices (SRI) for indirect selection of winter-wheat lines with high yield potential and to assess the effects of including secondary traits on the prediction accuracy for yield. A total of five SRIs were measured in a diversity panel, and F5 and doubled haploid wheat breeding populations planted between 2015 and 2018 in Lind and Pullman, WA. The winter-wheat panels were genotyped with 11,089 genotyping-by-sequencing derived markers. Spectral traits showed moderate to high phenotypic and genetic correlations, indicating their potential for indirect selection of lines with high yield potential. Inclusion of correlated spectral traits in genomic prediction models resulted in significant (p < 0.001) improvement in prediction accuracy for yield. Relatedness between training and test populations and heritability were among the principal factors affecting accuracy. Our results demonstrate the potential of using spectral indices as proxy measurements for selecting lines with increased yield potential and for improving prediction accuracy to increase genetic gains for complex traits in US Pacific Northwest winter wheat.

scholarly journals Explaining Spatial Heterogeneity in Population Dynamics and Genetics from Spatial Variation in Resources for a Large Herbivore

PLoS ONE ◽  
2012 ◽  
Vol 7 (10) ◽  
pp. e47858 ◽  
Author(s):  
Adrienne L. Contasti ◽  
Emily J. Tissier ◽  
Jill F. Johnstone ◽  
Philip D. McLoughlin
Keyword(s):  
Population Dynamics ◽  
Spatial Heterogeneity ◽  
Spatial Variation ◽  
Large Herbivore

Fern speciation and biogeography

1985 ◽  
Vol 86 ◽  
pp. 353-360 ◽  
Author(s):  
Rolla Tryon
Keyword(s):  
New Species ◽  
Parental Species ◽  
Local Environment ◽  
Limited Range ◽  
Ecological Adaptation ◽  
Species Selection ◽  
Potential Range ◽  
Small Range ◽  
Extensive Range ◽  
Selection Of

SynopsisThe most common kinds of speciation result in new species that initially have a small range. These will develop a limited or an extensive range depending upon the geographic extent of the environment to which they are adapted. A significant element in the extent of the potential range of a new species is the adaptation inherited from the parental species. Selection of a parental species for a local environment at one site can lead to a narrow ecological adaptation and often to a limited potential range. These species are likely to produce derived ones that also have a limited range, and these derivates will increase the regional species endemism and diversity. Selection of a parental species for migration to other sites can lead to a broader ecological adaptation and often to a broad potential range. These species are more likely to produce derived ones that also have an extensive range, and these derivates will increase regional species diversity.

scholarly journals Image Quality Differences In CT Scan Thorax By Using Slice Thickness Variation

2017 ◽  
Vol 8 (2) ◽  
pp. 87-91
Author(s):  
Samsun Samsun ◽  
Legia Prananto ◽  
Novita Wulandari
Keyword(s):  
Image Quality ◽  
Ct Scan ◽  
Spatial Resolution ◽  
Optimal Parameter ◽  
Thickness Variation ◽  
Slice Thickness ◽  
Picture Quality ◽  
Thorax Ct ◽  
Research Show ◽  
Selection Of

The picture quality get from CT Scan of Thorax which required optimal parameter selection that’s right, one of them the selection of slice thickness. The method taken from theses that have been publish in the year 2013. The results of the research show the percentage of the value of the average spatial resolution of 2.5 mm slice thickness is (33.3%), noise (17.8%), artefact (1%). On the thickness of the slices 5 mm spatial resolution is (17%), noise (8.9%), artefacts (0%). On the thickness of slices of 7.5 mm spatial resolution is (8.9%), noise (11.1%), artefacts (53.3%). While the thickness of the slices the spatial resolution is 10 mm (8.9%), noise (22.2%), artefacts (68.9%). Based on the research results obtained the conclusion that thickness 2.5 mm slices on Thorax CT-Scan images produce better picture quality than with the thickness of the slices 5 mm, 7.5 mm, 10 mm, because the spatial resolution is more clear so as to reduce noise and artifacts.

scholarly journals Risk assessment of freezing injury during overwintering of wheat in the northern boundary of the Winter Wheat Region in China

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12154
Author(s):  
Jiahui Guo ◽  
Xionghui Bai ◽  
Weiping Shi ◽  
Ruijie Li ◽  
Xingyu Hao ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Winter Wheat ◽  
Injury Risk ◽  
Climate Models ◽  
Meteorological Data ◽  
Wheat Variety ◽  
Freezing Injury ◽  
Short Term ◽  
Northern Boundary ◽  
Significant Downward Trend

Freezing injury is one of the main restriction factors for winter wheat production, especially in the northern part of the Winter Wheat Region in China. It is very important to assess the risk of winter wheat-freezing injury. However, most of the existing climate models are complex and cannot be widely used. In this study, Zunhua which is located in the northern boundary of Winter Wheat Region in China is selected as research region, based on the winter meteorological data of Zunhua from 1956 to 2016, seven freezing disaster-causing factors related to freezing injury were extracted to formulated the freezing injury index (FII) of wheat. Referring to the historical wheat-freezing injury in Zunhua and combining with the cold resistance identification data of the National Winter Wheat Variety Regional Test (NWWVRT), consistency between the FII and the actual freezing injury situation was tested. Furthermore, the occurrence law of freezing injury in Zunhua during the past 60 years was analyzed by Morlet wavelet analyze, and the risk of freezing injury in the short term was evaluated. Results showed that the FII can reflect the occurrence of winter wheat-freezing injury in Zunhua to a certain extent and had a significant linear correlation with the dead tiller rate of wheat (P = 0.014). The interannual variation of the FII in Zunhua also showed a significant downward trend (R2 = 0.7412). There are two cycles of freezing injury in 60 years, and it showed that there’s still exist a high risk in the short term. This study provides reference information for the rational use of meteorological data for winter wheat-freezing injury risk assessment.

scholarly journals Hydrologic analysis of a flood based on a new Digital Elevation Model

2015 ◽  
Vol XL-7/W4 ◽  
pp. 127-134 ◽  
Author(s):  
M. Nishio ◽  
M. Mori
Keyword(s):  
Digital Elevation Model ◽  
Spatial Resolution ◽  
Meteorological Data ◽  
Data Acquisition System ◽  
Hydrologic Processes ◽  
Hydrologic Analysis ◽  
Digital Elevation ◽  
Simulation Results ◽  
Typhoon Season ◽  
Elevation Model

These The present study aims to simulate the hydrologic processes of a flood, based on a new, highly accurate Digital Elevation Model (DEM). The DEM is provided by the Ministry of Land, Infrastructure, Transport and Tourism (MLIT) of Japan, and has a spatial resolution of five meters. It was generated by the new National Project in 2012. The Hydrologic Engineering Center - Hydrologic Modeling System (HEC-HMS) is used to simulate the hydrologic process of a flood of the Onga River in Iizuka City, Japan. A large flood event in the typhoon season in 2003 caused serious damage around the Iizuka City area. Precise records of rainfall data from the Automated Meteorological Data Acquisition System (AMeDAS) were input into the HEC-HMS. The estimated flood area of the simulation results by HEC-HMS was identical to the observed flood area. A watershed aggregation map is also generated by HEC-HMS around the Onga River.

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