Junliang Xie

Hebei Academy of Agriculture and Forestry Sciences

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Junzhou Bu

Hebei Academy of Agriculture and Forestry Sciences

Haiwang Yue

Hebei Academy of Agriculture and Forestry Sciences

Haicheng Peng

Hebei Academy of Agriculture and Forestry Sciences

Xuwen Jiang

Qingdao Agricultural University

Jianwei Wei

Hebei Academy of Agriculture and Forestry Sciences

Feng Huang

Third Affiliated Hospital of Sun Yat-sen University

Baoqing Sun

First Affiliated Hospital of Guangzhou Medical University

Junlong Dang

Guangdong Academy of Medical Sciences

Shuping Chen

Lanzhou University of Technology

Bo Hu

Guizhou Electric Power Design and Research Institute

Cooperative Institutions

Hebei Academy of Agriculture and Forestry Sciences

Qingdao Agricultural University

Third Affiliated Hospital of Sun Yat-sen University

Sun Yat-sen University

Hangzhou Dianzi University

China Agricultural University

Chinese Academy of Sciences

University of Chinese Academy of Sciences

Shanghai Jiao Tong University

China University of Petroleum, Beijing

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Effects of planting density and sowing date on agronomic characters and yield of new maize variety Zhongdi 175.

Guangdong nongye kexue (2017)

Junzhou Bu Haiwang Yue Haicheng Peng Shuping Chen Junliang Xie

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Additional file 3: of A preclinical study—systemic evaluation of safety on mesenchymal stem cells derived from human gingiva tissue

Figshare (2019)

Jun Zhao Julie Wang Junlong Dang Wangyu Zhu Yaqiong Chen

Table S2. Electrocardiogram of rhesus by intravenous injection of GMSCs in short-term toxicity test (n = 4, x ¯ $$ \overline{x} $$ ± S). (XLS 29 kb)

10.6084/m9.figshare.8273981

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Detection of Lake Shoreline Based on Modified RSF Model Combined With Edge Energy and Global Energy for SAR Images

IEEE Geoscience and Remote Sensing Letters (2022)

Huina Song Han Wu Mengyuan Wang Jiayi Cao Junliang Xie

Lake shoreline detection plays an important role in hydrological structure analysis and urban ecology governance but is a challenging task in synthetic aperture radar (SAR) image interpretation. Due to the complex shoreline environment, the preservation of weak boundaries and fitting of global information in large-scale SAR images deserve further research. Thus, this letter proposes a novel coarse-to-fine lake shoreline detection approach for SAR images based on modified region-scalable fitting (RSF) model combined with edge energy and global energy. In this approach, SAR images are despeckled by the block-matching 3-D (BM3D) filter. Then a novel energy term based on Laplacian of Gaussian (LoG) operator and ratio of exponentially weighted averages (ROEWA) operator is constructed to accurately locate the boundary and reduce false boundary. Additionally, the global energy term is adopted to fit the global information well. The experimental results based on real data demonstrate that the proposed approach has a stronger ability to maintain weak edges compared with RSF model, which exhibits better effectiveness and reliability.

10.1109/lgrs.2022.3171657

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Studying on Winter Wheat Variety Impurity Reason and Control Techniques

Journal of Zhejiang University (Medical Sciences) (2003)

Xiu-min CHEN Junliang Xie Sun Shuzuo Qiao Wenchen Xianghai Meng

Winter wheat

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Efficacy and phytotoxicity trial of different dosages of 4% nicosulfuron SC on weeds in corn fields.

Plant diseases and pests (2013)

Junzhou Bu Haiwang Yue Shuping Chen Haicheng Peng Junliang Xie

Phytotoxicity

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河北省低平原区不同夏玉米品种灌浆、脱水、子粒机收特性的研究

玉米科学 (2018)

岳海旺卜俊周陈淑萍彭海成魏建伟

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Additional file 2: of A preclinical studyâ systemic evaluation of safety on mesenchymal stem cells derived from human gingiva tissue

Figshare (2019)

Jun Zhao Julie Wang Junlong Dang Wangyu Zhu Yaqiong Chen

Table S1. Rating criteria of abnormal behavior. (XLS 26 kb)

10.6084/m9.figshare.8273975

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Construct Risk Management Frame and Strengthen the Sustainable Development of Sci-tech Enterprise

Journal of Hebei Agricultural Sciences (2008)

Junliang Xie

According to the current situation of sci-tech enterprise,the risk theory of enterprise was introduced.In addition,the risk management countermeasures of enterprise were put forward.

Enterprise Management

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Effects of Planting Density and Row Spacing on Yield Characters of Xianyu 335

Journal of Hebei Agricultural Sciences (2013)

Junliang Xie

In the north of Huanghuaihai area,summer corn Xianyu 335 was discussed using two-factor split plot experimental design under different densities(60 000 and 75 000 plants/hm2) and row spacing patterns[50 cm,60 cm,70 cm,80 cm,(80 + 40) cm] with 3 repeats.The effects of different densities and row spacing on summer corn yield related traits were analyzed.The results showed that the differences of grain yields between 60 000 and 75 000 plants/hm2 was not significant,there was significant differences in yields among treatments of row spacing.Under the density of 60 000 plants/hm2 and the row spacing pattern of 80 + 40 cm,the yield of corn was highest(11 068 kg/hm2) and significantly higher than other planting spacing patterns,which was higher than the second by 8.58%.The yield of corn was higher and had no significant difference with the first under the density of 75 000 plants/hm2 and the row spacing pattern of 60 cm and(80 + 40) cm.Under the configuration of test density and row spacing,the optimum planting pattern for summer corn Xianyu 335 in Huanghuaihai area was(80 +40) cm row spacing with 60 000 plants/hm2.

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A study on genotype × environment interactions for the multiple traits of maize hybrids in China

Agronomy Journal (2021)

Haiwang Yue Xuwen Jiang Jianwei Wei Junliang Xie Shuping Chen

Abstract The correct interpretation of the adaptability and stability of maize ( Zea mays L.) hybrids in different ecological environments is very important for plant breeders. Additive main effect and multiplicative interaction model and genotype main effects and genotype × environment interaction biplot are the two most popular methods in the analysis of genotype × environment interaction in multienvironment trials. We conducted an experiment designed to examine and evaluate the adaptability and stability of four agronomic traits of 19 tested maize genotypes in two consecutive growth cycles across seven provinces including 37 locations using a randomized completely block design with three replicates. The combined ANOVA for all traits showed that the effect of genotype, environment, and genotype × environment interaction were significant at 0.1% probability levels. In order to evaluate multiple agronomic traits more accurately, multitrait stability index (MTSI) as an emerging selection method based on mean performance and stability was adopted. Agronomic trait grain yield (GY) was positively correlated with grain weight per ear and growth period. In addition, it was also found that GY and bar tip length showed obvious negative correlation. The MTSI is very helpful for breeders who hope to select mean performance and stability based on a variety of agronomic traits because it provides a convenient selection process while taking into account the relevant results of the traits.

Biplot

Ammi

Adaptability

Interaction

Trait

Main effect

10.1002/agj2.20907

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Citations (5)