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Combining rhizosphere and soil-based P management decreased the P fertilizer demand of China by more than half based on LePA model simulations
YU Wen-jia, LI Hai-gang, Peteh M. NKEBIWE, YANG Xue-yun, GUO Da-yong, LI Cui-lan, ZHU Yi-yong, XIAO Jing-xiu, LI Guo-hua, SUN Zhi, Torsten MÜLLER, SHEN Jian-bo
2023, 22 (8): 2509-2520.   DOI: 10.1016/j.jia.2022.09.003
Abstract171)      PDF in ScienceDirect      

Phosphorus (P) is a finite natural resource and is increasingly considered to be a challenge for global sustainability. Agriculture in China plays a key role in global sustainable P management. Rhizosphere and soil-based P management are necessary for improving P-use efficiency and crop productivity in intensive agriculture in China. A previous study has shown that the future demand for phosphate fertilizer by China estimated by the LePA model (legacy phosphorus assessment model) can be greatly reduced by soil-based P management (the building-up and maintenance approach). The present study used the LePA model to predict the phosphate demand by China through combined rhizosphere and soil-based P management at county scale under four P fertilizer scenarios: (1) same P application rate as in 2012; (2) rate maintained same as 2012 in low-P counties or no P fertilizer applied in high-P counties until targeted soil Olsen-P (TPOlsen) level is reached, and then rate was the same as P-removed at harvest; (3) rate in each county decreased to 1–7 kg ha–1 yr–1 after TPOlsen is reached in low-P counties, then increased by 0.1–9 kg ha–1 yr–1 until equal to P-removal; (4) rate maintained same as 2012 in low-P counties until TPOlsen is reached and then equaled to P-removal, while the rate in high-P counties is decreased to 1–7 kg ha–1 yr–1 until TPOlsen is reached and then increased by 0.1–9 kg ha–1 yr–1 until equal to P-removal. Our predictions showed that the total demand for P fertilizer by whole China was 693 Mt P2O5 and according to scenario 4, P fertilizer could be reduced by 57.5% compared with farmer current practice, during the period 2013–2080. The model showed that rhizosphere P management led to a further 8.0% decrease in P fertilizer use compared with soil-based P management. The average soil Olsen-P level in China only needs to be maintained at 17 mg kg–1 to achieve high crop yields. Our results provide a firm basis for government to issue-relevant policies for sustainable P management in China.

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Image-based root phenotyping for field-grown crops: An example under maize/soybean intercropping
HUI Fang, XIE Zi-wen, LI Hai-gang, GUO Yan, LI Bao-guo, LIU Yun-ling, MA Yun-tao
2022, 21 (6): 1606-1619.   DOI: 10.1016/S2095-3119(20)63571-7
Abstract258)      PDF in ScienceDirect      
Root architecture, which determines the water and nutrient uptake ability of crops, is highly plastic in response to soil environmental changes and different cultivation patterns.  Root phenotyping for field-grown crops, especially topological trait extraction, is rarely performed.  In this study, an image-based semi-automatic root phenotyping method for field-grown crops was developed.  The method consisted of image acquisition, image denoising and segmentation, trait extraction and data analysis.  Five global traits and 40 local traits were extracted with this method.  A good consistency in 1st-order lateral root branching was observed between the visually counted values and the values extracted using the developed method, with R2=0.97.  Using the method, we found that the interspecific advantages for maize mainly occurred within 5 cm from the root base in the nodal roots of the 5th–7th nodes, and that the obvious inhibition of soybean was mostly reflected within 20 cm from the root base.  Our study provides a novel approach with high-throughput and high-accuracy for field research on root morphology and branching features.  It could be applied to the 3D reconstruction of field-grown root system architecture to improve the inputs to data-driven models (e.g., OpenSimRoot) that simulate root growth, solute transport and water uptake.
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