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rational management of the plant microbiome for the Second Green Revolution

Plant Communications 2024年第4期5卷 1-15页

作者： Xiaofang Li Xin Zheng Nikita Yadav Shouvik Saha El-Sayed Salama Xiangkai Li Likun Wang Byong-Hun Jeon Center for Agricultural Resources Research Institute of Genetics and Developmental BiologyChinese Academy of SciencesShijiazhuang 050021China Department of Earth Resources and Environmental Engineering Hanyang UniversitySeoul 04763South Korea Natural Resources Research Institute University of Minnesota DuluthHermantownMN 55811USA Department of Biotechnology Brainware UniversityBarasatKolkata 700125West BengalIndia Department of Occupational and Environmental Health School of Public HealthLanzhou UniversityLanzhouGansu 730000China Ministry of Education Key Laboratory of Cell Activities and Stress Adaptations School of Life ScienceLanzhou UniversityLanzhouGansu 730000China

The Green Revolution of the mid-20th century transformed agriculture worldwide and has resulted in envi-ronmental challenges.A new approach,the Second Green Revolution,seeks to enhance agricultural pro-ductivity while minimizing negative environmental *** microbiomes play critical roles in plant growth and stress responses,and understanding plant–microbiome interactions is essential for developing sustainable agricultural practices that meet food security and safety challenges,which are among the United Nations Sustainable Development *** review provides a comprehensive exploration of key deterministic processes crucial for developing microbiome management strategies,including the host effect,the facilitator effect,and microbe–microbe interactions.A hierarchical framework for plant mi-crobiome modulation is proposed to bridge the gap between basic research and agricultural *** framework emphasizes three levels of modulation:single-strain,synthetic community,and in situ mi-crobiome ***,rational management of plant microbiomes has wide-ranging applications in agriculture and can potentially be a core technology for the Second Green Revolution.

关键词： Second Green Revolution plant microbiome rational management host effect microbiome heritability

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Estimation of the Actual Evapotranspiration by the SEBAL Method in the Irrigated Rice Perimeter of Zatta (Yamoussoukro—Côte d’Ivoire)

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Journal of Water Resource and Protection 2023年第10期15卷 539-556页

作者： Junias Léandre Kra Moïse Botou Adahi Brice Arthur Konan-Waidhet Jean-Yves Konan N’Guessan Joël Doyéré Koné Emmanuel Nogbou Assidjo Department of Geosciences and Environment Université Jean Lorougnon Guédé (UJLoG) Daloa C&ocircte d’Ivoire Department of Rural Engineering and Geographical Sciences Institut National Polytechnique Félix Houphou&eumlt-Boigny (INP-HB) Yamoussoukro C&ocircte d’Ivoire Department of Chemical and Food Engineering Institut National Polytechnique Félix Houphou&eumlt-Boigny (INP-HB) Yamoussoukro C&ocircte d’Ivoire

In this study, the SEBAL (Surface Energy Balance Algorithm for Land) model was used to map the spatio-temporal distribution of actual evapotranspiration in the Yamoussoukro department (Côte d’Ivoire). Like other regions of the country, the Yamoussoukro district is confronted with the phenomenon of evapotranspiration (ET). This is a very important component that comes into play in the water balance but also in the calculation of the water needs of agricultural crops. Consequently, its estimation is of paramount importance in research related to the rational management of water resources, particularly agricultural water. The objective of this study was to analyze the spatio-temporal distribution of actual evapotranspiration (AET) as a function of land cover and land use. The methodology used is based on the SEBAL model which uses remote sensing (Landsat 8_OLI/TIRS) and climatic data to estimate actual evapotranspiration and analyze the spatio-temporal distribution of AET. The results reveal that the AET varied from 0 to 5.44 mm/day over the period from December 2019 to February 2020 with an average value of 4.92 mm/day. The highest average values occurred for water bodies (4.90 mm/day) and flooded vegetation (4.88 mm/day) while the lowest values occurred in residential areas (2.04 mm/day). Furthermore, the results show that the difference between the SEBAL model and the FAO-Penman-Monteith method is minimal with an average RMSE of 0.36 mm/day for all the satellite images. This study demonstrates the considerable potential of remote sensing for the characterization and estimation of spatial evapotranspiration in the Zatta irrigated rice-growing area.

关键词： Evapotranspiration Water Balance rational management Remote Sensing SEBAL Model

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