Article
Agronomy
David H. Fleisher, Jinyoung Y. Barnaby, Sanai Li, Dennis Timlin
Summary: Changing climate conditions are affecting the quality and yield of the United States rice export industry, particularly for uncharacterized hybrid varieties under high heat episodes and increasing atmospheric CO2 levels. The study found that high temperatures significantly reduced rice yield, with a larger decrease at the 8C temperature increase. Elevated CO2 levels had a slight positive effect on yield and harvest index, primarily due to an increase in single grain weight. However, the proportion of biomass allocated to panicles decreased at the higher temperature. Breeding efforts for climate resiliency should focus on traits related to hybrid vigor and resistance to high temperatures.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Engineering, Environmental
Jintao Yang, Jinfeng Wang, Chengdong Xu, Yang Liu, Qian Yin, Xinmei Wang, Li Wang, Yongning Wu, Gexin Xiao
Summary: This study analyzed random samples from the rice sales market in China to reveal the rice supply patterns. It was found that Northeast, Central, and East China are the main rice source areas, while economically developed cities like Beijing and Shanghai, and provinces with low temperatures like Tibet and Qinghai heavily rely on imported rice.
RESOURCES CONSERVATION AND RECYCLING
(2021)
Article
Environmental Sciences
Ryuhei Yoshida, Toshichika Iizumi
Summary: Governmental expenditure on agricultural R&D has been important in increasing crop yields, but studies indicate that yield growth rates will decline in a warming climate. This study used a global gridded crop model to assess the impact of a $1 billion increase in R&D expenditure on maize yield gain in 71 maize-producing countries. Results show that the highest yield response is projected for low-income countries, and the response decreases under higher warming scenarios.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Green & Sustainable Science & Technology
Robert Becker Pickson, Elliot Boateng
Summary: Climate change poses a significant threat to food security in Africa, with rainfall playing a decisive role and extreme temperatures impacting food security in the short term, varying across countries. A bidirectional causality exists between food security and temperature, highlighting the importance of reducing dependence on rain-fed agriculture in African countries for increased food production.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2022)
Article
Multidisciplinary Sciences
Christopher Bowden, Timothy Foster, Ben Parkes
Summary: Climate change poses a significant threat to global food security, particularly for agricultural systems relying on monsoon rainfall. This study utilizes machine learning to enhance understanding of the impact of monsoon variability on agricultural productivity. The findings show that random forest modelling effectively represents rice production responses to monsoon weather variability. The study highlights the importance of weather variables and irrigation in explaining yield anomalies and reveals non-linear relationships and interactions between climate and rice production variability.
SCIENTIFIC REPORTS
(2023)
Article
Green & Sustainable Science & Technology
Cancan Qiao, Changxiu Cheng, Tariq Ali
Summary: Soybean planting is concentrated and sensitive to climate change, making global soybean security vulnerable. This study predicts a reduction in soybean yield in the top ten producing countries in the future, leading to insufficient global supply and higher prices. However, trade liberalization can mitigate the negative impact of climate change, although it may negatively affect domestic supply in export-oriented regions.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Environmental Sciences
Bowen Chen, Nelson B. Villoria
Summary: International trade helps to balance food price fluctuations caused by seasonal imbalances in domestic supply and demand. However, it also introduces the risk of importing price volatility. This study examines the impact of maize yield shocks in exporting countries on maize price variability in importing countries. The findings indicate that extreme below-trend reductions in maize yields in exporting countries lead to increased intra-annual price variability in importing countries, while above-trend yields are associated with reduced variability.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Review
Environmental Sciences
Nurul Izzati Mohd Ali, Kadaruddin Aiyub, Kuok Choy Lam, Azlan Abas
Summary: Rice production and food security are threatened by climate change, but research and development efforts ensure an adequate supply of rice. China and India are the major contributors to climate change and rice production research, with yield and adaptation being the key research focus. Developing countries also receive more attention, and socio-economic aspects should be emphasized.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Agriculture, Multidisciplinary
Juan Cao, Zhao Zhang, Fulu Tao, Yi Chen, Xiangzhong Luo, Jun Xie
Summary: The study aims to examine the synchronous impacts of El-Niño Southern Oscillation (ENSO) and the probability of simultaneous ENSO-related crop loss on global crop yields, and investigate the predictability of finer-scale variation in crop yields based on ENSO-related large-scale climate precursors. Using updated crop census data, the study finds significant negative (positive) associations between wheat, rice, maize, soybean harvest areas and El Niño (La Niña). ENSO reduces global-mean crop yield for wheat, rice, and maize, but increases it for soybean. The findings suggest that reliable crop yield prediction based on ENSO indexes can be developed in limited harvest areas, particularly in ENSO-sensitive regions.
AGRICULTURAL SYSTEMS
(2023)
Article
Agriculture, Multidisciplinary
Pengfu Hou, Lixiang Xue, Jing Wang, Evangelos Petropoulos, Xuzhe Deng, Jun Qiao, Lihong Xue, Linzhang Yang
Summary: Continuous planting of green manure is an effective strategy to improve soil fertility, with long-term trials showing that it significantly increases soil organic carbon content without affecting rice yield or increasing methane emissions.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2022)
Article
Environmental Sciences
Yin Yulong, Meng Qingfeng, Ying Hao, Zhang Qingsong, Liu Ye, Zhenling Cui
Summary: Growing evidence suggests that climate change leads to increased nitrogen concentration in rice, reduced internal nitrogen use efficiency, and higher nitrogen uptake by crops, which may require a higher nitrogen application rate in the future to maintain current grain yields.
Article
Agronomy
Golden Odey, Bashir Adelodun, Gunho Cho, Seulgi Lee, Khalid Adeola Adeyemi, Kyung Sook Choi
Summary: This study aimed to identify the impact of seasonal climate variability on soybean yield in Korea. The results showed that climate variability significantly influenced soybean yield in Korea, providing important evidence for the development of adaptation and mitigation strategies by farmers and policy makers.
INTERNATIONAL JOURNAL OF PLANT PRODUCTION
(2022)
Article
Multidisciplinary Sciences
Jigar S. Desai, Lovely Mae F. Lawas, Ashlee M. Valente, Adam R. Leman, Dmitry O. Grinevich, S. V. Krishna Jagadish, Colleen J. Doherty
Summary: The increase in nighttime temperatures has detrimental effects on rice grain yield and quality, with warmer nighttime temperatures disrupting gene expression timing and reducing productivity. Transcripts with a 24-hour periodicity and circadian-regulated transcripts are more sensitive to warm nighttime temperatures, suggesting a disruption in the temporal coordination between internal molecular events and the environment. Identification of transcriptional regulators and affected transcripts through network analysis provides insight into the molecular mechanisms driving sensitivity to warm nighttime temperatures and potential targets for enhancing tolerance.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Review
Agronomy
Hridoy Ul Awall Rezvi, Md. Tahjib-Ul-Arif, Md. Abdul Azim, Toufica Ahmed Tumpa, Mohammad Monirul Hasan Tipu, Farhana Najnine, Mona F. A. Dawood, Milan Skalicky, Marian Brestic
Summary: Environmental stresses negatively affect crop production and nutritional values, and their impact is exacerbated by climate change. Rice, being a staple crop with high tolerance and nutritional value, is considered a better option for future food and nutritional sustainability under changing climatic conditions.
FOOD AND ENERGY SECURITY
(2023)
Article
Agronomy
Liangliang Zhang, Zhao Zhang, Fulu Tao, Yuchuan Luo, Jing Zhang, Juan Cao
Summary: Climate change has a significant impact on rice productivity in China, with varying effects among different cultivars. Replacing existing cultivars can only partly mitigate the yield loss caused by climate change in the future. Around 67% of single rice cultivation areas and 46% of double rice cultivation areas will require new cultivars before 2050. The mid-lower reaches of the Yangtze River have only two decades left for adaptation. The ideal traits for breeding cultivars to adapt to climate change include medium growth cycle, long grain-filling period, high photosynthetic capacity, and fewer spikelets.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Environmental Sciences
Fei Ma, Changwen Du, Yiqiang Zhang, Xuebin Xu, Jianmin Zhou
Summary: This study utilized different spectroscopic techniques to investigate the spatial distribution of elements in soil and the binding features of salt-organic associations. The results showed heterogeneous distributions of Mg, Ca, Na, and K in saline soil, with significant correlations between Mg and Ca, and a negative correlation between K and soil organic matter content.
LAND DEGRADATION & DEVELOPMENT
(2021)
Article
Agronomy
Yuming Guo, Haitao Xiang, Zhenwang Li, Fei Ma, Changwen Du
Summary: The study found that rice yield is influenced by both agronomic traits and climate factors, and the FFBN model performs better in prediction compared to the PLSR model. The optimal FFBN structure consists of one hidden layer with 29 neurons.
Article
Environmental Sciences
Haixiao Ge, Haitao Xiang, Fei Ma, Zhenwang Li, Zhengchao Qiu, Zhengzheng Tan, Changwen Du
Summary: Utilizing a combination of VIs and color moments from UAV-based imagery can improve the accuracy of estimating plant nitrogen concentration, showing better performance compared to using VIs or color moments alone. This highlights the significant contribution of color moments in enhancing PNC estimation accuracy, indicating the great potential of the RGB-VIs and color moments combination for rice PNC estimation.
Article
Food Science & Technology
Fei Ma, Changwen Du, Shuailin Zheng, Yaxiao Du
Summary: A new method was employed to evaluate nitrate contents in leafy vegetables, showing significant variations in nitrate levels among vegetable samples, with mean values exceeding the WHO-specified maximum tolerance limits. The ED-ELM model showed better performance in monitoring nitrate contents, indicating its potential for rapid and accurate measurement in the fields of agriculture and food safety.
FOOD ANALYTICAL METHODS
(2021)
Article
Environmental Sciences
Haixiao Ge, Fei Ma, Zhenwang Li, Zhengzheng Tan, Changwen Du
Summary: Ensemble models combining various image features and machine learning algorithms were proposed for phenology detection in rice breeding, with the soft voting strategy showing the best performance. The overall accuracy and F1 scores were significantly improved with the ensemble models.
Article
Chemistry, Analytical
Mengjin Hu, Fei Ma, Zhenwang Li, Xuebin Xu, Changwen Du
Summary: Rapid quantification of soil organic matter is a challenge for assessing soil health and managing fertility in agricultural soil. This study utilized laser-induced breakdown spectroscopy (LIBS) and a self-adaptive partial least squares regression model (SAM-PLSR) to predict soil organic matter content. The results showed that optimizing the calibration parameters, such as sample selection and sample location, improved the prediction accuracy. Additionally, the variances of the target property and the spectra similarity of the soil background were found to be crucial factors for the calibration model.
Article
Agronomy
Haixiao Ge, Fei Ma, Zhenwang Li, Changwen Du
Summary: This study utilized a low-cost UAV platform and RF models combined with phenological data and color VIs to accurately estimate the yield of rice cultivars, demonstrating the significant improvement in model performance with the inclusion of phenological data. These findings suggest that the RF model is a cost-effective way to estimate yield in rice breeding by combining phenological data and color VIs.
Article
Agronomy
Haixiao Ge, Fei Ma, Zhenwang Li, Changwen Du
Summary: Global sensitivity analysis has shown Tavg, G4, and P2O to be the most influential parameters across cultivars during the growth season, with PORM having a considerable impact on yield regardless of specific-stage variations of climate conditions. The study highlights the comprehensive effects of crop parameters on model outputs under different cultivars and climate variations.
Article
Environmental Sciences
Zhengchao Qiu, Fei Ma, Zhenwang Li, Xuebin Xu, Changwen Du
Summary: This study used unmanned aerial systems (UAS) to rapidly and accurately acquire rice growth variables, which are useful for assessing rice growth and precision fertilization. The results showed that different nitrogen treatments had a significant impact on rice growth variables. Prediction models were built using spectral indices derived from visible and NIR images and key rice growth variables measured in the field, achieving high accuracy.
Article
Biochemistry & Molecular Biology
Cong Ge, Xuebin Xu, Fei Ma, Jianmin Zhou, Changwen Du
Summary: Benefitting from the unique structure of leaf cuticle layer, the researchers have successfully improved the hydrophobicity of controlled-release fertilizer by mimicking the leaf surface structure. By loading carnauba wax onto the polyacrylate coating, the appearance and release duration of the fertilizer were improved effectively.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Chemistry, Multidisciplinary
Ke Wu, Xuebin Xu, Fei Ma, Changwen Du
Summary: In this study, iron-based MOFs (Fe-MOFs) were synthesized in both laboratory and pilot scales, and their structure and components were characterized. The release and degradation behaviors of nutrients in Fe-MOFs were investigated. The results showed that Fe-MOFs could serve as a fertilizer with varied nutrients and controlled release.
Article
Biochemistry & Molecular Biology
Ke Wu, Fei Ma, Cuilan Wei, Fangqun Gan, Changwen Du
Summary: This study explored a rapid method for determining (NO3-)-N-15 content in water bodies using Fourier transform infrared attenuated total reflectance spectroscopy (FTIR-ATR) coupled with a deconvolution algorithm and partial least squares regression (PLSR) model. The characteristic peaks of (NO3-)-N-14/(NO3-)-N-15 mixtures with different ratios were observed, and the (NO3-)-N-15 proportion was negatively correlated with the wavenumber of absorption peaks. PLSR models based on deconvoluted spectra showed good performance with ratio of prediction to deviation (RPD) values above 2.0 and correlation coefficients (R-2) above 0.84. The use of FTIR-ATR combined with deconvolution and PLSR provided a rapid, simple, and affordable method for determining (NO3-)-N-15 content in water bodies, facilitating the study of nitrate sources and water environment quality management.
Article
Environmental Sciences
Xuebin Xu, Changwen Du, Fei Ma, Zhengchao Qiu, Jianmin Zhou
Summary: In this study, a framework based on machine learning using Fourier mid-infrared attenuation total reflectance spectroscopy (FTIR-ATR), Sentinel-2 images, and DEM derivatives was developed to estimate soil organic matter (SOM) with high accuracy and resolution. The PLS, SVR, and CNN models performed well in predicting SOM from FTIR-ATR spectra, and the performance was enhanced further by using Sentinel-2 images and DEM derivatives. The PLS and SVR models provided high-resolution and highly variable SOM maps compared to the Kriging approach.
Article
Chemistry, Multidisciplinary
Ke Wu, Xuebin Xu, Fei Ma, Changwen Du
Summary: Based on the controlled-delivery function of metal-organic frameworks (MOFs), iron-based MOFs (Fe-MOFs) were explored as a novel fertilizer in laboratory studies. Fe-MOFs were successfully synthesized in both laboratory and pilot scales, with nutrient release rate and pattern matching crop growth, showing potential for industrial application in the fertilizer industry.