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- W3201177718 abstract "Crop growth correlation is an important basis for establishing material distribution models and simulating crop growth and yield. Considering the effect of water and nutrient stress on the correlation of crop growth, this article takes the high-water, high-fertilizer, zero-water and zero-fertilizer treatments of summer corn in 2016-2019 at the Huoquan experimental station in Shanxi province (8 treatments in 4 years) and the high-water, high-fertilizer, zero-water and zero-fertilizer treatments of spring corn in 2018-2019 at the Wenyuhe experimental station in Shanxi province (4 treatments in 2 years) as research material. Measure the stem weight, grain weight, root weight and other data at different growth stages, and use the change rule of stem-leaf ratio, grain-stem ratio, root-shoot ratio over time to express the correlation of corn growth. The ratio of measured evapotranspiration and potential evapotranspiration of maize was used as an indicator of water nutrient stress to analyze the effects of water nutrient stress on the stem-leaf ratio, grain-stem ratio and root-shoot ratio. The analysis shows that the stem-leaf ratio increased rapidly with time in the early stage, slowed down in the middle and late stages; the grain-stem ratio is increasing with time; the root-shoot ratio showed a downward trend with the advancement of the growth process. Huoquan’s yield is the most significant. After drought, the stem-leaf ratio generally decreased in the middle and late stages; Huoquan’s grain-stem ratio decreased and Wenyuhe’s grain-stem ratio increased; root-shoot ratio <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>1</sup> did not change significantly." @default.
- W3201177718 created "2021-09-27" @default.
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- W3201177718 date "2021-07-26" @default.
- W3201177718 modified "2023-09-27" @default.
- W3201177718 title "Correlation Study on the Response of Maize Growth to Water and Nutrient Stress" @default.
- W3201177718 cites W2354844688 @default.
- W3201177718 doi "https://doi.org/10.1109/agro-geoinformatics50104.2021.9530325" @default.
- W3201177718 hasPublicationYear "2021" @default.
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