Article
Biochemistry & Molecular Biology
Chunhua Lv, Zhenghua Hu, Jian Wei, Yin Wang
Summary: The maternal carbon dioxide environment affects the response of rice offspring to elevated carbon dioxide, resulting in decreased stomatal density and photosynthetic benefits. These findings contribute new insights into predicting future crop growth and yield.
PLANT MOLECULAR BIOLOGY
(2022)
Article
Agronomy
William L. Bauerle
Summary: Short-term elevated CO2 had significant effects on canopy carbon gain in Humulus lupulus L., especially under suboptimal light conditions; carbon uptake increased as CO2 concentrations rose to 500-700 µmol mol(-1); shaded leaves benefited more from increased CO2 compared to light saturated leaves.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Article
Plant Sciences
Yonghui Pan, Yiwen Cao, Yixiao Chai, Xusheng Meng, Min Wang, Guanjun Wang, Shiwei Guo
Summary: Enhancing the light-saturated photosynthetic rate is critical to advancing crop yield, especially in super hybrid rice. The higher CO2 diffusion capacity, as well as the higher biochemical capacity, favored leaf photosynthesis of super hybrid rice. Additionally, the total canopy nitrogen concentration at the tillering stage also played an important role in determining the photosynthetic rate and yield.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Multidisciplinary Sciences
Thomas Sinclair, James Specht, Kenneth Cassman, Larry Purcell, Thomas Rufty
Summary: De Souza et al. recently claimed that transforming the nonphotochemical quenching mechanism of photosynthesis can significantly increase soybean yield. However, there is little evidence to support this premise. The field experiment was flawed and does not provide evidence of yield increases in crops.
Article
Biochemistry & Molecular Biology
Yaqian He, Wen Duan, Baoping Xue, Xiaochen Cong, Peng Sun, Xin Hou, Yun-Kuan Liang
Summary: This study reveals the integral role of Os alpha CA1 in photosynthesis and yield potential in rice, highlighting the importance of alpha-type CAs in plant physiology and crop yield. It also provides genetic resources and new ideas for breeding high-yielding rice varieties.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Plant Sciences
Xiang Ouyang, Xiaoyu Zhong, Shuoqi Chang, Qian Qian, Yuzhu Zhang, Xinguang Zhu
Summary: A study found that the NARROW LEAF1 (NAL1) gene in rice has dual effects on photosynthesis and plant architecture, leading to increased grain yield. Through measurements of various parameters, the researchers found that NAL1 regulates the expression of photosynthesis-related genes and the signaling of plant hormones, affecting both photosynthesis and plant structure, ultimately resulting in increased yield.
Article
Multidisciplinary Sciences
Sotaro Honda, Satoshi Ohkubo, Nan Su San, Anothai Nakkasame, Kazuki Tomisawa, Keisuke Katsura, Taiichiro Ookawa, Atsushi J. Nagano, Shunsuke Adachi
Summary: Maintaining a high leaf photosynthetic rate after heading is suggested to be a potential target for enhancing rice biomass accumulation, rather than having a high maximum photosynthetic rate. High photosynthetic rate is positively correlated with crop growth rate, especially when it exceeds 80% of the maximum photosynthetic rate.
SCIENTIFIC REPORTS
(2021)
Article
Environmental Sciences
Md Didarul Islam, Liping Di, Faisal Mueen Qamer, Sravan Shrestha, Liying Guo, Li Lin, Timothy J. J. Mayer, Aparna R. R. Phalke
Summary: This study developed a rapid rice yield estimation workflow and customized yield prediction model by integrating remote sensing and meteorological data with machine learning. Data quality issues, data processing issues, selecting a suitable machine learning model, and understanding the non-linear relationship between historical crop yield and remote sensing and meteorological factors were addressed. The study found that incorporating meteorological variables into the machine learning models improved estimation accuracy, and stacking multiple tree-based regression models achieved better accuracy.
Article
Geosciences, Multidisciplinary
Walker O. Smith
Summary: Polar systems are important components of global biogeochemical cycles, but they are undersampled. This study focused on long-term measurements of primary productivity and chlorophyll concentrations in the Ross Sea of Antarctica. The results provide valuable insights into the productivity and composition of polar ecosystems.
EARTH SYSTEM SCIENCE DATA
(2022)
Article
Agronomy
John Snider, Glendon Harris, Phillip Roberts, Calvin Meeks, Daryl Chastain, Michael Bange, Gurpreet Virk
Summary: This study conducted a field experiment to evaluate cotton yield, fiber quality, growth, and maturity responses to different nitrogen application rates in the southeastern US. It found that both excessively high and low nitrogen levels can significantly affect cotton productivity, fiber quality, and growth, with photosynthetic rates being responsive to nitrogen rates on later sample dates.
FIELD CROPS RESEARCH
(2021)
Article
Plant Sciences
Jian-Ping Lian, Chao Yuan, Yan-Zhao Feng, Qing Liu, Cong-Ying Wang, Yan-Fei Zhou, Qiao-Juan Huang, Qing-Feng Zhu, Yu-Chan Zhang, Yue-Qin Chen, Yang Yu
Summary: This study investigated the regulatory function of microRNA397 and its target gene LACCASE-15 in modulating flowering traits in rice. Overexpression of miR397 led to earlier heading dates and accelerated differentiation of the spikelet meristem, while overexpression of OsLAC15 resulted in delayed flowering and prolonged vegetative growth. The study also revealed the impact of miR397-OsLAC15 on carbohydrate accumulation and photosynthetic assimilation, ultimately enhancing the photosynthetic intensity in miR397-overexpressing rice plants. Furthermore, it was found that OsLAC15 regulates the photorespiration pathway and a high CO2 concentration could rescue the late flowering phenotype in OsLAC15-overexpressing plants.
Review
Plant Sciences
Robert Furbank, Steven Kelly, Susanne von Caemmerer
Summary: Traditional Green Revolution strategies in cereal breeding for improved yield in rice are plateauing, so international consortia are now focusing on targeting photosynthesis to increase yield potential. Synthetic biology is being used in large-scale projects to enhance photosynthetic efficiency. This review focuses on the Bill and Melinda Gates funded C-4 Rice Project, one of the first consortia projects aimed at introducing C-4 photosynthesis attributes into the C-3 crop rice. The advancements in installing the biochemical pathway and the remaining challenges are discussed.
PHOTOSYNTHESIS RESEARCH
(2023)
Article
Agronomy
Peder K. Schmitz, Hans J. Kandel
Summary: Planting date, seeding rate, relative maturity, and row spacing are key factors affecting soybean yield. Maximizing canopy cover before flowering improves seed yield. Combining early planting, optimum cultivars, high seeding rate, and narrow row spacing can significantly increase yield and profit compared to conventional practices.
Article
Agronomy
Taiki Takahashi, Naoyuki Sato, Maya Matsunami, Hiroyuki Shimono
Summary: The use of hybrid rice can increase productivity, and there are significant differences in adaptability and yield among different genotypes. In cool climates with limited cropping windows, a field experiment comparing different cultivars showed that 'Togo 4' and 'Hokuriku 193' had the highest yields, up to 27% higher than the check cultivars. Thinning at full heading increased yield but decreased plant N concentration and leaf SPAD value. The results indicate that earlier maturation and increased source activity addition to greater sink capacity can achieve high yields in cool climates, regardless of hybrid or inbred rice.
FIELD CROPS RESEARCH
(2023)
Article
Plant Sciences
Qingfeng Song, Jeroen Van Rie, Bart Den Boer, Alexander Galle, Honglong Zhao, Tiangen Chang, Zhonghu He, Xin-Guang Zhu
Summary: Improving canopy photosynthetic light use efficiency and energy conversion efficiency is crucial for increasing crop yield potential. However, the diurnal and seasonal variations of canopy light use efficiency and energy conversion efficiency have been largely unknown. This study quantified the dynamic changes in these parameters and found significant variations throughout the day and growing season. The results highlight the opportunity to improve canopy photosynthesis for greater wheat biomass and yield potential.
FRONTIERS IN PLANT SCIENCE
(2022)
Review
Biochemistry & Molecular Biology
Stephen P. Long, Amy Marshall-Colon, Xin-Guang Zhu
Article
Plant Sciences
Saber Hamdani, Mingnan Qu, Chang-Peng Xin, Ming Li, Chengcai Chu, Govindjee, Xin-Guang Zhu
JOURNAL OF PLANT PHYSIOLOGY
(2015)
Article
Biotechnology & Applied Microbiology
Chensi Cao, Jiajia Xu, Guangyong Zheng, Xin-Guang Zhu
Article
Agronomy
Xiurong Jiao, Kirsten Korup, Mathias Neumann Andersen, Erik J. Sacks, Xin-Guang Zhu, Poul Erik Laerke, Uffe Jorgensen
GLOBAL CHANGE BIOLOGY BIOENERGY
(2017)
Article
Plant Sciences
Shuyue Wang, Danny Tholen, Xin-Guang Zhu
PLANT CELL AND ENVIRONMENT
(2017)
Article
Biochemistry & Molecular Biology
Yimin Tao, Ming-Ju Amy Lyu, Xin-Guang Zhu
PLANT MOLECULAR BIOLOGY
(2016)
Article
Multidisciplinary Sciences
Xin Wang, Wei Liu, Changpeng Xin, Yi Zheng, Yanbing Cheng, Su Sun, Runze Li, Xin-Guang Zhu, Susie Y. Dai, Peter M. Rentzepis, Joshua S. Yuan
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2016)
Review
Plant Sciences
Tian-Gen Chang, Xin-Guang Zhu
JOURNAL OF EXPERIMENTAL BOTANY
(2017)
Article
Plant Sciences
Yu Wang, Andrea Braeutigam, Andreas P. M. Weber, Xin-Guang Zhu
JOURNAL OF EXPERIMENTAL BOTANY
(2014)
Article
Biochemistry & Molecular Biology
Taiyu Chen, Xin-Guang Zhu, Yongjun Lin
PLANT MOLECULAR BIOLOGY
(2014)
Article
Plant Sciences
Chang-Peng Xin, Danny Tholen, Vincent Devloo, Xin-Guang Zhu
Article
Biochemistry & Molecular Biology
Jindong Sun, Zhaozhong Feng, Andrew D. B. Leakey, Xinguang Zhu, Carl J. Bernacchi, Donald R. Ort
Article
Plant Sciences
Xianbin Yu, Guangyong Zheng, Lanlan Shan, Guofeng Meng, Martin Vingron, Qi Liu, Xin-Guang Zhu
FRONTIERS IN PLANT SCIENCE
(2014)
Article
Plant Sciences
Erik van den Bergh, Canan Kuelahoglu, Andrea Braeutigam, Julian M. Hibberd, Andreas P. M. Weber, Xin-Guang Zhu, M. Eric Schranz
CURRENT PLANT BIOLOGY
(2014)
Article
Agronomy
Wenyi Xu, Bo Elberling, Per Lennart Ambus
Summary: The frequency and extent of wildfires in the Arctic have been increasing due to climate change. In this study, researchers conducted experiments in West Greenland to investigate the long-term impacts of climate warming on post-fire carbon dioxide exchange in arctic tundra ecosystems. They found that fire increased soil organic phosphorus concentrations and burned areas remained a net CO2 source five years after the fire. However, with four to five years of summer warming, the burned areas turned into a net CO2 sink.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Yuanhang Yang, Jiabo Yin, Shengyu Kang, Louise J. Slater, Xihui Gu, Aliaksandr Volchak
Summary: This study investigates the impacts of water and heat stress on carbon uptake in China and explores the driving mechanisms of droughts using a machine learning model. The results show that droughts are mostly driven by atmospheric dryness, with precipitation, relative humidity, and temperature playing dominant roles. Water and heat stress have negative impacts on carbon assimilation, and drought occurrence is projected to increase significantly in the future. Improving ecosystem resilience to climate warming is crucial in mitigating the negative effects of droughts on carbon uptake.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Ningbo Cui, Shunsheng Zheng, Shouzheng Jiang, Mingjun Wang, Lu Zhao, Ziling He, Yu Feng, Yaosheng Wang, Daozhi Gong, Chunwei Liu, Rangjian Qiu
Summary: This study proposes a method to partition evapotranspiration (ET) into its components in agroforestry systems. The method is based on water-carbon coupling theory and flux conservation hypothesis. The results show that the partitioned components agree well with measurements from other sensors. The study also finds that atmospheric evaporation demand and vegetation factors greatly influence the components of ET, and increased tree leaf area limits understory grass transpiration.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Xinhao Li, Tianshan Zha, Andrew Black, Xin Jia, Rachhpal S. Jassal, Peng Liu, Yun Tian, Chuan Jin, Ruizhi Yang, Feng Zhang, Haiqun Yu, Jing Xie
Summary: With the rapid increase of urbanization, evapotranspiration (ET) in urban forests has become increasingly important in urban hydrology and climate. However, there is still a large uncertainty regarding the factors that regulate ET in urban areas. This study investigates the temporal variations of ET in an urban forest park in Beijing using the eddy-covariance technique. The results show that daily ET is close to zero during winter but reaches 3-6 mm day-1 in summer. Daily ET increases with vapor pressure deficit (VPD) and soil water content (SWC). Monthly ET increases linearly with normalized difference vegetation index and shows a strong correlation with surface conductance (gs), while exhibiting saturated responses to increasing monthly precipitation (PPT). Annual ET ranges from 326 to 566 mm, and soil water replenishment through PPT from the previous year is responsible for the generally higher monthly ET in spring relative to PPT. Biotic factors and PPT seasonality play essential roles in regulating ET at different scales.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Zhaogang Liu, Zhi Chen, Meng Yang, Tianxiang Hao, Guirui Yu, Xianjin Zhu, Weikang Zhang, Lexin Ma, Xiaojun Dou, Yong Lin, Wenxing Luo, Lang Han, Mingyu Sun, Shiping Chen, Gang Dong, Yanhong Gao, Yanbin Hao, Shicheng Jiang, Yingnian Li, Yuzhe Li, Shaomin Liu, Peili Shi, Junlei Tan, Yakun Tang, Xiaoping Xin, Fawei Zhang, Yangjian Zhang, Liang Zhao, Li Zhou, Zhilin Zhu
Summary: This study investigates the responses of temperate grassland (TG) and alpine grassland (AG) to climate change by studying carbon (C) fluxes across different regions in China. The results reveal that water factors consistently increase C fluxes, while temperature factors have opposite effects on TG and AG. The study enhances our understanding of C sinks and grassland sensitivity to climate change.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Peng Li, Huijie Li, Bingcheng Si, Tao Zhou, Chunhua Zhang, Min Li
Summary: This study mapped the distribution of forest age on the Chinese Loess Plateau using the LandTrendr algorithm. The results show that the LT algorithm is a convenient, efficient, and reliable method for identifying forest age. The findings have important implications for assessing and quantifying biomass and carbon sequestration in afforestation efforts on the Chinese Loess Plateau.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Review
Agronomy
Yean-Uk Kim, Heidi Webber, Samuel G. K. Adiku, Rogerio de S. Noia Junior, Jean-Charles Deswarte, Senthold Asseng, Frank Ewert
Summary: As climate change is expected to increase the intensity and frequency of extreme weather events, it is crucial to assess their impact on cropping systems and explore adaptation options. Process-based crop models (PBCMs) have improved in simulating the impacts of major extreme weather events, but still struggle to reproduce low crop yields under wet conditions. This article provides an overview of the yield-loss mechanisms of excessive rainfall in cereals and the associated modelling approaches, aiming to guide improvements in PBCMs.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Xiaodong Liu, Yingjie Feng, Xinyu Zhao, Zijie Cui, Peiling Liu, Xiuzhi Chen, Qianmei Zhang, Juxiu Liu
Summary: Understanding the impact of climate on litterfall production is crucial for simulating nutrient cycling in forest ecosystems. This study analyzed a 14-year litterfall dataset from two subtropical forests in South China and found that litterfall was mainly influenced by wind speed during the wet season and by temperature during the dry season. These findings have potential significance in improving our understanding of carbon and nutrient cycling in subtropical forest ecosystems under climate change conditions.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Ruonan Chen, Liangyun Liu, Zhunqiao Liu, Xinjie Liu, Jongmin Kim, Hyun Seok Kim, Hojin Lee, Genghong Wu, Chenhui Guo, Lianhong Gu
Summary: Solar-induced chlorophyll fluorescence (SIF) has the potential to estimate gross primary production (GPP), but the quantitative relationship between them is not constant. In this study, a mechanistic model for SIF-based GPP estimation in evergreen needle forests (ENF) was developed, considering the seasonal variation in a key parameter of the model. The GPP estimates from this model were more accurate compared to other benchmark models, especially in extreme conditions.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Jingyi Zhu, Yanzheng Yang, Nan Meng, Ruonan Li, Jinfeng Ma, Hua Zheng
Summary: This study developed a random forest model using climate station and satellite data to generate high-precision precipitation datasets for the Qinghai-Tibet Plateau. By incorporating multisource satellite data, the model achieved a significant enhancement in precipitation accuracy and showed promising results in regions with limited meteorological stations and substantial spatial heterogeneity in precipitation patterns.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Yulin Yan, Youngryel Ryu, Bolun Li, Benjamin Dechant, Sheir Afgen Zaheer, Minseok Kang
Summary: Sustainable rice farming practices are urgently needed to meet increasing food demand, cope with water scarcity, and mitigate climate change. Traditional farming methods that prioritize a single objective have proven to be insufficient, while simultaneously optimizing multiple competing objectives remains less explored. This study optimized farm management to increase rice yield, reduce irrigation water consumption, and tackle the dilemma of reducing GHG emissions. The results suggest that the optimized management can maintain or even increase crop yield, while reducing water demand and GHG emissions by more than 50%.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Sasha D. Hafner, Jesper N. Kamp, Johanna Pedersen
Summary: This study compared micrometeorological and wind tunnel measurements using a semi-empirical model to understand wind tunnel measurement error. The results showed differences in emission estimates between the two methods, but the ALFAM2 model was able to reproduce emission dynamics for both methods when considering differences in mass transfer. The study provides a template for integrating and comparing measurements from different methods, suggesting the use of wind tunnel measurements for model evaluation and parameter estimation.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Wenfang Xu, Wenping Yuan, Donghai Wu, Yao Zhang, Ruoque Shen, Xiaosheng Xia, Philippe Ciais, Juxiu Liu
Summary: In the summer of 2022, China experienced record-breaking heatwaves and droughts, which had a significant impact on plant growth. The study also found that heatwaves were more critical than droughts in limiting vegetation growth.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Jiaqi Guo, Xiaohong Liu, Wensen Ge, Liangju Zhao, Wenjie Fan, Xinyu Zhang, Qiangqiang Lu, Xiaoyu Xing, Zihan Zhou
Summary: Vegetation photosynthetic phenology is an important indicator for understanding the impacts of climate change on terrestrial carbon cycle. This study evaluated and compared the abilities of different spectral indices to model photosynthetic phenology, and found that NIRv and PRI are effective proxies for monitoring photosynthetic phenology.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Arango Ruda Elizabeth, M. Altaf Arain
Summary: Temperate deciduous forests have significant impacts on regional and global water cycles. This study examined the effects of climate change and extreme weather events on the water use and evapotranspiration of a temperate deciduous forest in eastern North America. The results showed that photosynthetically active radiation and air temperature were the primary drivers of evapotranspiration, while vapor pressure deficit regulated water use efficiency. The study also found a changing trend in water use efficiency over the years, influenced by extreme weather conditions.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
