Wenshan Guo

ORCID: 0000-0003-0372-6707
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About
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Research Areas
  • Crop Yield and Soil Fertility
  • Remote Sensing in Agriculture
  • Rice Cultivation and Yield Improvement
  • Soil Carbon and Nitrogen Dynamics
  • Leaf Properties and Growth Measurement
  • Smart Agriculture and AI
  • Plant nutrient uptake and metabolism
  • Polymer-Based Agricultural Enhancements
  • Environmental and Agricultural Sciences
  • Food composition and properties
  • Plant responses to elevated CO2
  • Remote Sensing and Land Use
  • Wheat and Barley Genetics and Pathology
  • Plant responses to water stress
  • Plant Stress Responses and Tolerance
  • Spectroscopy and Chemometric Analyses
  • Remote Sensing and LiDAR Applications
  • Agriculture, Soil, Plant Science
  • Land Use and Ecosystem Services
  • Climate change impacts on agriculture
  • Phytase and its Applications
  • Greenhouse Technology and Climate Control
  • Horticultural and Viticultural Research
  • Agriculture, Plant Science, Crop Management
  • Agricultural Productivity and Crop Improvement

Yangzhou University
2016-2025

University of Technology Sydney
2021-2022

Chinese Academy of Agricultural Sciences
2007-2014

Agriculture and Agri-Food Canada
2014

National Engineering Research Center for Information Technology in Agriculture
2011

Institute of Grassland Research
2011

China Agricultural University
2011

Institute of Animal Sciences
2011

CAE (Canada)
2007

Wheat biomass can be estimated using appropriate spectral vegetation indices. However, the accuracy of estimation should further improved for on-farm crop management. Previous studies focused on developing indices, however limited research exists modeling algorithms. The emerging Random Forest (RF) machine-learning algorithm is regarded as one most precise prediction methods regression modeling. objectives this study were to (1) investigate applicability RF remotely estimating wheat biomass,...

10.1016/j.cj.2016.01.008 article EN cc-by-nc-nd The Crop Journal 2016-03-31

Four modern cultivars of winter wheat (Triticum aestivum L.) were grown under elevated ozone concentration (E-O3) in fully open-air field conditions China for three consecutive growth seasons from 2007 to 2009. Results indicated that a mean 25% enhancement above the ambient (A-O3, 45.7 p.p.b.) significantly reduced grain yield by 20% with significant variation range 10% 35% among combinations cultivar and season. The varietal difference response E-O3 became nonsignificant when anova was done...

10.1111/j.1365-2486.2011.02400.x article EN Global Change Biology 2011-01-21

Lodging is one of the constraints that limit wheat yields and quality due to unexpected bending or breaking stems on (Triticum aestivum L.) production worldwide. In addition choosing lodging resistance varieties, husbandry practices also have a significant effect lodging. Nitrogen management most common efficient methods. A field experiment with Yangmai 20 as research material (a widely-used variety) was conducted study effects different nitrogen levels ratios culm morphological, anatomical...

10.1371/journal.pone.0187543 article EN cc-by PLoS ONE 2017-11-08

Soil salinity is a worldwide issue that affects wheat production. A comprehensive understanding of salt-tolerance mechanisms and the selection reliable screening indices are crucial for breeding salt-tolerant cultivars. In this study, 30 genotypes (obtained from rapid 96 original varieties) were chosen to investigate existing methods clarify tolerance in wheat. Ten-day-old seedlings treated with 150 mM NaCl. Eighteen agronomic physiological parameters measured. The results indicated effects...

10.3389/fpls.2021.646175 article EN cc-by Frontiers in Plant Science 2021-03-31

Abstract Normalized difference vegetation index (NDVI) is one of the most important indices in crop remote sensing. It features a simple, fast, and non-destructive method has been widely used monitoring growing status. Beer-Lambert law calculating leaf area (LAI), however, it time-consuming detection low output. Our objective was to improve accuracy LAI through sensing by integrating NDVI law. In this study, firstly modified construct model with as independent variable. Secondly,...

10.1038/s41598-020-57750-z article EN cc-by Scientific Reports 2020-01-22

The effect of high temperatures (above 25°C) on starch concentration and the morphology granules in grains wheat (Triticum aestivum L.) were studied. Wheat plants cultivars Yangmai 9 (weak-gluten) 12 (medium-gluten) treated with for 3 days at different times after anthesis. results showed that given a heat-shock treatment above 30°C lower than those developing normal temperature both cultivars. High lowered due to decrease amylopectin. Under same temperature, heat shock from 6 8 anthesis...

10.1017/s0021859610001024 article EN cc-by-nc-sa The Journal of Agricultural Science 2010-12-08

Abstract Background The number grain per panicle of rice is an important phenotypic trait and a significant index for variety screening cultivation management. methods that are currently used to count the grains manually conducted, making them labor intensive time consuming. Existing image-based counting had difficulty in separating overlapped grains. Results In this study, we aimed develop image analysis-based method quickly quantify panicle. We compared accuracy several among different...

10.1186/s13007-019-0510-0 article EN cc-by Plant Methods 2019-10-31

Grain number is crucial for analysis of yield components and assessment effects cultivation measures. The grain per spike thousand-grain weight can be measured by counting grains manually, but it time-consuming, tedious error-prone. Previous image processing algorithms cannot work well with different backgrounds sizes. This study used deep learning methods to resolve the limitations traditional algorithms. Wheat datasets were collected in scenarios three varieties, six background two...

10.1016/s2095-3119(19)62803-0 article EN cc-by-nc-nd Journal of Integrative Agriculture 2020-06-24

Water availability limits wheat ( Triticum aestivum L.) production in many areas of the world. It may be possible to use crop reflectance estimate leaf water content (LWC). The objectives this study were (i) develop and test a model for assessing stress winter wheat, where regression models, grey relational analysis–partial least squares (GRA‐PLS), optimal band ratio normalized difference, three bands algorithms tested, (ii) compare performance proposed models using GRA‐PLS three‐band...

10.2134/agronj2013.0088 article EN Agronomy Journal 2013-07-12

Abstract Waxy wheat has unique end-use properties; however, its production is limited due mainly to low grain yield compared with non-waxy wheat. In order increase yield, it critical understand the eco-physiological differences in filling between waxy and this study, two cultivars were used investigate starch-associated enzymes processes, sucrose starch dynamics, components, final yield. The results indicated that mean total amylose content, average 1000-kernel weight of lower than those at...

10.1038/s41598-018-22587-0 article EN cc-by Scientific Reports 2018-03-08

The occurrence of water stress during wheat growth is more frequent due to climate change. Three experiments (cyclic drought, cyclic waterlogging, and drought plus waterlogging) were conducted investigate the effects mild severe cyclic/single at elongation heading stages on winter (Triticum aestivum L.) yield. effect either or waterlogging yield was not significant; however, significance did occur under other single stresses. As becomes severe, loss significantly increases. Extreme...

10.1371/journal.pone.0195535 article EN cc-by PLoS ONE 2018-04-09

Fraction of photosynthetically active radiation (FPAR), as an important index for evaluating yields and biomass production, is key to providing the guidance crop management. However, shortage good hyperspectral data can frequently result in hindrance accurate reliable FPAR assessment, especially wheat. In present research, aiming at developing a strategy relationships between wheat canopy vegetation indexes derived from concurrent ground-measured were explored. revealed most strongly...

10.3389/fpls.2018.00776 article EN cc-by Frontiers in Plant Science 2018-06-07
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