Article
Agronomy
Romain M. Gloaguen, Diane L. Rowland, Zachary T. Brym, Chris H. Wilson, Hyen Chung Chun, Ray Langham
Summary: Irrigation decision support systems can help improve water use efficiency and prevent over-irrigation of drought tolerant crops. Developing DSS for newly introduced crops, such as sesame in the southeastern United States, presents challenges. By enhancing DSS like SesameFARM2, water application can be reduced to enhance crop water productivity.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Plant Sciences
Zhengjun Cui, Bin Yan, Yuhong Gao, Bing Wu, Yifan Wang, Yaping Xie, Peng Xu, Haidi Wang, Ming Wen, Yingze Wang, Xingkang Ma
Summary: This study investigated the effects of different crop rotation sequences on soil water storage, crop yield, water use, and water productivity. The results showed that crop rotation had significant impacts on soil water content, crop yield, and water use efficiency. Wheat-potato-oil flax or potato-wheat-oil flax rotation increased oil flax grain yields, while wheat-oil flax-potato-oil flax improved oil flax water use efficiency.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Agronomy
Wenjing Cai, Xiaobo Gu, Yadan Du, Tian Chang, Shiyu Lu, Xiaobo Zheng, Dongping Bai, Hui Song, Shikun Sun, Huanjie Cai
Summary: Mulching can effectively improve the hydrothermal environment of farmland and increase maize yield and water productivity. Different types of mulching have varying effects on yield and water saving. Choosing the appropriate mulching pattern should consider local climate conditions and agricultural practices.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Environmental Sciences
Pedro Gavilan, Natividad Ruiz, Luis Miranda, Elsa Martinez-Ferri, Juana Contreras, Rafael Baeza, David Lozano
Summary: The project near Donana National Park in Huelva, Spain focused on promoting sustainability in the complex ecological, productive, and social system of the region through rational water resource use. Experimentation, demonstration, technology transfer, and training activities engaged public administrations, companies, and private farms. The active involvement of farmers in experimentation assignments over a five-year period led to significant improvements in irrigation management.
Article
Agronomy
Li Yang, Haijun Liu, Shabtai Cohen, Zhuangzhuang Gao
Summary: The solar greenhouse is a common protected structure for crop production when ambient temperatures are low. In the North China Plain, a sunken solar greenhouse (SSG) is used in winter to take advantage of higher temperatures. A four-season experiment with tomato crops in a commercial SSG found that the temperature inside the SSG could be more than 20 degrees C higher than outside in winter, leading to favorable tomato growth and yields. The sap flow of the crops was influenced by solar radiation, vapor pressure deficit, and temperature, with decoupling coefficient indicating strong radiative influences in the SSG. Crop coefficients varied throughout the seasons, with higher sap flow in winter compared to summer, suggesting the need for irrigation scheduling considerations.
Article
Engineering, Civil
Xin Han, Qingyun Zhou, Baozhong Zhang, Zheng Che, Zheng Wei, Rangjian Qiu, He Chen, Yinong Li, Taisheng Du
Summary: Crop evapotranspiration (ETc) is crucial for agronomic and water resource management, but accurate forecasting has been a challenge. In this study, real-time short and medium-term ETc forecast models were developed based on dynamic crop coefficient and historical threshold modification. The results showed that the new models accurately predicted ETc for different crops, with higher accuracy in shorter forecast periods. The study also found that integrating historical empirical threshold further improved the accuracy of short and medium-term ETc forecast.
JOURNAL OF HYDROLOGY
(2022)
Article
Agronomy
Haoru Li, Xurong Mei, Jiandong Wang, Feng Huang, Weiping Hao, Baoguo Li
Summary: The study showed that drip fertigation significantly increases yield, water productivity, and nitrogen use efficiency, with potential for water and nitrogen saving. However, the effectiveness is influenced by crop types, soil, climate, and management factors.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Agronomy
Lili Zhangzhong, Hairong Gao, Wengang Zheng, Jianwei Wu, Jingjing Li, Dequn Wang
Summary: This study aims to understand crop evapotranspiration and develop models to estimate it, in order to efficiently schedule irrigation. The study proposes a new approach of non-destructive online acquisition of evapotranspiration data using mobile phones. The models developed in the study show high accuracy and performance in estimating water requirements for different types of lettuce.
AGRICULTURAL WATER MANAGEMENT
(2023)
Article
Agronomy
Munashe Mashabatu, Zanele Ntshidi, Sebinasi Dzikiti, Nebojsa Jovanovic, Timothy Dube, Nicky J. Taylor
Summary: Inaccurate crop coefficients lead to inefficient use of water resources. This study evaluated the method of deriving crop coefficients developed by Allen and Pereira (2009) for various irrigated fruit tree crops in South Africa. The study adjusted the stoma-tal sensitivity function in the model by replacing the ratio of the leaf resistance to the standard leaf resistance with a resistance parameter specific to each crop. The derived crop coefficients were standardized and tabulated for transferability between sites, but more crop-specific information is needed to improve accuracy.
AGRICULTURAL WATER MANAGEMENT
(2023)
Article
Ecology
Danilo Lombardi, Kristina Micalizzi, Marcello Vitale
Summary: This study proposes a framework that integrates bottom-up and top-down approaches to assess the impact of local climate change on carbon and water fluxes in a Mediterranean mixed forest. The results indicate a decline in gross primary production, net primary production, and evapotranspiration due to drought conditions caused by rising temperatures and reduced rainfall.
ECOLOGICAL INFORMATICS
(2023)
Article
Agronomy
Upendra M. Sainju, Andrew W. Lenssen, Brett L. Allen, Jalal D. Jabro, William B. Stevens
Summary: The research found that different tillage, crop rotation, and management systems can impact crop water and nitrogen productivity. Longer crop rotation lengths can increase yield, soil water storage, and water productivity, while shorter rotations with legumes can improve grain and biomass nitrogen productivity and removal.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Agricultural Engineering
Xianghao Hou, Junliang Fan, Fucang Zhang, Wenhui Hu, Fulai Yan, Chao Xiao, Yuepeng Li, Houliang Cheng
Summary: Crop evapotranspiration and crop coefficient can vary depending on geography and species. By conducting a two-year field study in south Xinjiang, it was found that increasing irrigation amounts can improve seed cotton yields but reduce water productivity. Seasonal water use of cotton is mainly concentrated in the flowering and boll setting stages, accounting for about 60% of the total water consumption.
INDUSTRIAL CROPS AND PRODUCTS
(2022)
Article
Water Resources
Daniel Wonde Mebrie, Tewodros T. Assefa, Abdu Y. Yimam, Sisay A. Belay
Summary: Proper estimation of evapotranspiration is important for the management of irrigation systems. However, the lack of climatic stations in Ethiopia makes it difficult to estimate reference evapotranspiration (ETo) and crop coefficient (Kc) spatially. This study aimed to estimate crop evapotranspiration (ETc) by deriving crop coefficients using remote sensing products. The correlation between MODIS potential evapotranspiration and Penman-Monteith estimates was good, and a strong correlation was found between Sentinel-based NDVI and FAO crop coefficient. Calibrating and integrating MODIS with Sentinel 2B can provide a feasible approach for estimating Kc and ETc. The findings highlight the importance of proper estimation of crop water needs for better productivity in the region.
APPLIED WATER SCIENCE
(2023)
Article
Agronomy
Xingwang Wang, Huimin Lei, Jiadi Li, Zailin Huo, Yongqiang Zhang, Yanping Qu
Summary: In this study, a combination of remote sensing and water-carbon coupled model was used to estimate evapotranspiration (ET) and yield of wheat and maize. The model produced accurate estimates by considering various remote sensing indices and individually calibrated parameters. The simulation results of crop growth and yield were in good agreement with measurements, with coefficient of determination mostly larger than 0.66. The developed model also quantified the spatiotemporal crop water productivity (WP), revealing increasing WP of winter wheat and larger WP of maize compared to wheat in the North China Plain during 2001-2018.
AGRICULTURAL WATER MANAGEMENT
(2023)
Article
Agronomy
David D. Tarkalson, Bradley A. King, Dave L. Bjorneberg
Summary: This study aims to explore the relationship between maize grain yield and water use, and provide data support for deficit water management decisions in irrigated maize. The results suggest that adjustments should be made to the crop coefficients for maize in the arid Northwest U.S. Additionally, by establishing crop water production functions, the range of maize yield and water productivity under different water conditions can be understood.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Agronomy
Pedro Gavilan, Natividad Ruiz, David Lozano
AGRICULTURAL WATER MANAGEMENT
(2015)
Article
Environmental Sciences
David Lozano, Natividad Ruiz, Rafael Baeza, Juana Contreras, Pedro Gavilan
Article
Environmental Sciences
Pedro Gavilan, Natividad Ruiz, Luis Miranda, Elsa Martinez-Ferri, Juana Contreras, Rafael Baeza, David Lozano
Summary: The project near Donana National Park in Huelva, Spain focused on promoting sustainability in the complex ecological, productive, and social system of the region through rational water resource use. Experimentation, demonstration, technology transfer, and training activities engaged public administrations, companies, and private farms. The active involvement of farmers in experimentation assignments over a five-year period led to significant improvements in irrigation management.
Article
Agronomy
Jiaxin Sun, Yanli Yang, Peng Qi, Guangxin Zhang, Yao Wu
Summary: The optimal allocation of agricultural water and land resources is crucial for farmers' economic benefits, carbon sequestration, and water resource conservation. This study developed a novel water-carbon-economy coupling model and applied it to a real farm, demonstrating its effectiveness in achieving the optimal allocation of water and land resources. The model balances economic, environmental, and social benefits.
AGRICULTURAL WATER MANAGEMENT
(2024)