Zobrazeno 1 - 10 of 11 pro vyhledávání: '"Xiu-liang JIN"'
1
Akademický článek
Global sensitivity analysis of wheat grain yield and quality and the related process variables from the DSSAT-CERES model based on the extended Fourier Amplitude Sensitivity Test method
Autor: Zhen-hai LI, Xiu-liang JIN, Hai-long LIU, Xin-gang XU, Ji-hua WANG
Publikováno v: Journal of Integrative Agriculture, Vol 18, Iss 7, Pp 1547-1561 (2019)
A crop growth model, integrating genotype, environment, and management factor, was developed to serve as an analytical tool to study the influence of these factors on crop growth, production, and agricultural planning. A major challenge of model appl
Externí odkaz: https://doaj.org/article/a3eae86e99f146f0b9c0a47a022fa7af
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2
Akademický článek
Assessment of the AquaCrop model for use in simulation of irrigated winter wheat canopy cover, biomass, and grain yield in the North China Plain.
Autor: Xiu-liang Jin, Hai-kuan Feng, Xin-kai Zhu, Zhen-hai Li, Sen-nan Song, Xiao-yu Song, Gui-Jun Yang, Xin-gang Xu, Wen-shan Guo
Publikováno v: PLoS ONE, Vol 9, Iss 1, p e86938 (2014)
Improving winter wheat water use efficiency in the North China Plain (NCP), China is essential in light of current irrigation water shortages. In this study, the AquaCrop model was used to calibrate, and validate winter wheat crop performance under v
Externí odkaz: https://doaj.org/article/dd337335286c4773befeabc8531a15ee
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3
Akademický článek
Estimation of wheat agronomic parameters using new spectral indices.
Autor: Xiu-liang Jin, Wan-ying Diao, Chun-hua Xiao, Fang-yong Wang, Bing Chen, Ke-ru Wang, Shao-kun Li
Publikováno v: PLoS ONE, Vol 8, Iss 8, p e72736 (2013)
Crop agronomic parameters (leaf area index (LAI), nitrogen (N) uptake, total chlorophyll (Chl) content ) are very important for the prediction of crop growth. The objective of this experiment was to investigate whether the wheat LAI, N uptake, and to
Externí odkaz: https://doaj.org/article/e95e5e7ee5cd4cce8e7dbddbfb09075c
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4
Global sensitivity analysis of wheat grain yield and quality and the related process variables from the DSSAT-CERES model based on the extended Fourier Amplitude Sensitivity Test method
Autor: Hai-long Liu, Xin-gang Xu, Zhen-hai Li, Jihua Wang, Xiu-liang Jin
Publikováno v: Journal of Integrative Agriculture, Vol 18, Iss 7, Pp 1547-1561 (2019)
Journal of Integrative Agriculture
Journal of Integrative Agriculture, Elsevier, 2019, 18 (7), pp.1547-1561. ⟨10.1016/S2095-3119(18)62046-5⟩
Journal of Integrative Agriculture, 2019, 18 (7), pp.1547-1561. ⟨10.1016/S2095-3119(18)62046-5⟩
International audience; A crop growth model, integrating genotype, environment, and management factor, was developed to serve as an analytical tool to study the influence of these factors on crop growth, production, and agricultural planning. A major
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0b5a1b94617053092150b93947e24e0
http://www.sciencedirect.com/science/article/pii/S2095311918620465
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7
[New vegetation index fusing visible-infrared and shortwave infrared spectral feature for winter wheat LAI retrieval]
Autor: Xin-chuan, Li, Yan-song, Bao, Xin-gang, Xu, Xiu-liang, Jin, Jing-cheng, Zhang, Xiao-yu, Song
Publikováno v: Guang pu xue yu guang pu fen xi = Guang pu. 33(9)
Considering the great relationships between shortwave infrared (SWIR) and leaf area index (LAI), innovative indices based on water vegetation indices and visible-infrared vegetation indices were presented. In the present work, PROSAIL model was used
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::96fc0906eb0c751ce093c7467396291b
https://pubmed.ncbi.nlm.nih.gov/24369639
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8
[Hyperspectral estimation of leaf water content for winter wheat based on grey relational analysis (GRA)]
Autor: Xiu-Liang, Jin, Xin-Gang, Xu, Ji-Hua, Wang, Xin-Chuan, Li, Yan, Wang, Chang-Wei, Tan, Xin-Kai, Zhu, Wen-Shan, Guo
Publikováno v: Guang pu xue yu guang pu fen xi = Guang pu. 32(11)
The objective of the present study was to compare two methods for the precision of estimating leaf water content (LWC) in winter wheat by combining stepwise regression method and partial least squares (SRM-PLS) or PLS based on the relational degree o
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::be850921edfc513fc6ca1320102cae06
https://pubmed.ncbi.nlm.nih.gov/23387188
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9
[Estimated nitrogen nutrition index based on the hyperspectral for wheat of drip irrigation under mulch]
Autor: Wan-ying, Diao, Shao-kun, Li, Ke-ru, Wang, Xiu-liang, Jin, Fang-yong, Wang, Bing, Chen, Qiong, Wang, Kai, Wang, Chun-hua, Xiao
Publikováno v: Guang pu xue yu guang pu fen xi = Guang pu. 32(5)
The accurate wheat management needs a reasonable nitrogen application, and it is one of the key measures for real-time and quantitatively monitoring of nitrogen status to gain the higher yield of wheat. In the present study, two field experiments wer
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::0bec58a03d0682010c25f85ba051b596
https://pubmed.ncbi.nlm.nih.gov/22827090
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10
[Monitoring the chlorophyll fluorescence parameter Fv/Fm in compact corn based on different hyperspectral vegetation indices]
Autor: Chang-wei, Tan, Wen-jiang, Huang, Xiu-liang, Jin, Jun-chan, Wang, Lu, Tong, Ji-hua, Wang, Wen-shan, Guo
Publikováno v: Guang pu xue yu guang pu fen xi = Guang pu. 32(5)
In order to further assess the feasibility of monitoring the chlorophyll fluorescence parameter Fv/Fm in compact corn by hyperspectral remote sensing data, in the present study, hyperspectral vegetation indices from in-situ remote sensing measurement
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::b826dca6dfa315127381ac75143e64a4
https://pubmed.ncbi.nlm.nih.gov/22827074
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