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Neimane-Šroma S, Durand M, Lintunen A, Aalto J, Robson TM. Shedding light on the increased carbon uptake by a boreal forest under diffuse solar radiation across multiple scales. GLOBAL CHANGE BIOLOGY 2024; 30:e17275. [PMID: 38624252 DOI: 10.1111/gcb.17275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 03/27/2024] [Accepted: 03/28/2024] [Indexed: 04/17/2024]
Abstract
Solar radiation is scattered by cloud cover, aerosols and other particles in the atmosphere, all of which are affected by global changes. Furthermore, the diffuse fraction of solar radiation is increased by more frequent forest fires and likewise would be if climate interventions such as stratospheric aerosol injection were adopted. Forest ecosystem studies predict that an increase in diffuse radiation would result in higher productivity, but ecophysiological data are required to identify the processes responsible within the forest canopy. In our study, the response of a boreal forest to direct, diffuse and heterogeneous solar radiation conditions was examined during the daytime in the growing season to determine how carbon uptake is affected by radiation conditions at different scales. A 10-year data set of ecosystem, shoot and forest floor vegetation carbon and water-flux data was examined. Ecosystem-level carbon assimilation was higher under diffuse radiation conditions in comparison with direct radiation conditions at equivalent total photosynthetically active radiation (PAR). This was driven by both an increase in shoot and forest floor vegetation photosynthetic rate. Most notably, ecosystem-scale productivity was strongly related to the absolute amount of diffuse PAR, since it integrates both changes in total PAR and diffuse fraction. This finding provides a gateway to explore the processes by which absolute diffuse PAR enhances productivity, and the long-term persistence of this effect under scenarios of higher global diffuse radiation.
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Affiliation(s)
- Santa Neimane-Šroma
- Faculty of Biological and Environmental Science, Organismal and Evolutionary Biology (OEB), Viikki Plant Science Centre (ViPS), University of Helsinki, Helsinki, Finland
| | - Maxime Durand
- Faculty of Biological and Environmental Science, Organismal and Evolutionary Biology (OEB), Viikki Plant Science Centre (ViPS), University of Helsinki, Helsinki, Finland
| | - Anna Lintunen
- Faculty of Agriculture and Forestry, Institute for Atmospheric and Earth System Research (INAR)/Forest Sciences, Viikki Plant Science Centre (ViPS), University of Helsinki, Helsinki, Finland
- Faculty of Science, Institute for Atmospheric and Earth System Research (INAR)/Physics, University of Helsinki, Helsinki, Finland
| | - Juho Aalto
- Faculty of Science, Institute for Atmospheric and Earth System Research (INAR)/Physics, University of Helsinki, Helsinki, Finland
| | - T Matthew Robson
- Faculty of Biological and Environmental Science, Organismal and Evolutionary Biology (OEB), Viikki Plant Science Centre (ViPS), University of Helsinki, Helsinki, Finland
- UK National School of Forestry, University of Cumbria, Ambleside, UK
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2
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Liu X, Chu B, Tang R, Liu Y, Qiu B, Gao M, Li X, Xiao J, Sun HZ, Huang X, Desai AR, Ding A, Wang H. Air quality improvements can strengthen China's food security. NATURE FOOD 2024; 5:158-170. [PMID: 38168777 DOI: 10.1038/s43016-023-00882-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 10/31/2023] [Indexed: 01/05/2024]
Abstract
Air pollution exerts crucial influence on crop yields and impacts regional and global food supplies. Here we employ a statistical model using satellite-based observations and flexible functional forms to analyse the synergistic effects of reductions in ozone and aerosols on China's food security. The model consistently shows that ozone is detrimental to crops, whereas aerosol has variable effects. China's maize, rice and wheat yields are projected to increase by 7.84%, 4.10% and 3.43%, respectively, upon reaching two air quality targets (60 μg m-3 for peak-season ozone and 35 μg m-3 for annual fine particulate matter). Average calories produced from these crops would surge by 4.51%, potentially allowing China to attain grain self-sufficiency 2 years earlier than previously estimated. These results show that ozone pollution control should be a high priority to increase staple crop edible calories, and future stringent air pollution regulations would enhance China's food security.
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Affiliation(s)
- Xiang Liu
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China
| | - Bowen Chu
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China
| | - Rong Tang
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China
| | - Yifan Liu
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China
| | - Bo Qiu
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China
| | - Meng Gao
- Department of Geography, Hong Kong Baptist University, Hong Kong SAR, China
| | - Xing Li
- Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, South Korea
| | - Jingfeng Xiao
- Earth Systems Research Center, Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, NH, USA
| | - Haitong Zhe Sun
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK
| | - Xin Huang
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China
- Collaborative Innovation Center of Climate Change, Jiangsu Province, Nanjing, China
- Frontiers Science Center for Critical Earth Material Cycling, Nanjing University, Nanjing, China
| | - Ankur R Desai
- Department of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, Madison, WI, USA
| | - Aijun Ding
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China
- Collaborative Innovation Center of Climate Change, Jiangsu Province, Nanjing, China
- Frontiers Science Center for Critical Earth Material Cycling, Nanjing University, Nanjing, China
- Nanjing-Helsinki Institute in Atmospheric and Earth Sciences, Nanjing University, Nanjing, China
| | - Haikun Wang
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China.
- Collaborative Innovation Center of Climate Change, Jiangsu Province, Nanjing, China.
- Frontiers Science Center for Critical Earth Material Cycling, Nanjing University, Nanjing, China.
- Nanjing-Helsinki Institute in Atmospheric and Earth Sciences, Nanjing University, Nanjing, China.
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Zhao W, Ren TH, Huang XY, Xu Z, Zhou YZ, Yin CL, Zhao R, Liu SB, Ning TY, Li G. Leaf shape, planting density, and nitrogen application affect soybean yield by changing direct and diffuse light distribution in the canopy. PLANT PHYSIOLOGY AND BIOCHEMISTRY : PPB 2023; 204:108071. [PMID: 37922647 DOI: 10.1016/j.plaphy.2023.108071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 09/15/2023] [Accepted: 09/28/2023] [Indexed: 11/07/2023]
Abstract
When attempting to maximize the crop yield from field-grown soybean (Glycine max (L.) Merr.) by means of improving the light conditions for photosynthesis in the canopy, it is crucial to find the optimal planting density and nitrogen application rate. The soybean plants that were the subject of our experiment were cultivated in N-dense mutual pairs, and included two cultivars with different leaf shapes; one cultivar sported ovate leaves (O-type) and the other lanceolate leaves (L-type). We analyzed the results quantitatively to determine the amount of spatial variation in light distribution and photosynthetic efficiency across the canopy, and to gauge the effect of the experimental parameters on the yield as well as the photosynthetic light and nitrogen use efficiency of the crop. Results indicate that the different leaf shapes were responsible for significant disparities between the photosynthetic utilization of direct and diffuse light. As the nitrogen fertilizer rate and the planting density increased, the soybean plants responded by adjusting leaf morphology in order to maximize the canopy apparent photosynthetic light use efficiency, which in turn affected the leaf nitrogen distribution in the canopy. Despite the fact that the light interception rate of the canopy of the L-type cultivar was lower than that of the canopy of the O-type cultivar, we found its canopy apparent photosynthetic nitrogen and light use efficiency were higher. It was interesting to note, however, that the nitrogen and light use efficiency contributions associated with exposure to diffuse light were greater for the latter than for the former.
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Affiliation(s)
- Wei Zhao
- College of Agronomy, Shandong Agricultural University, Tai'an, Shandong, 271018, PR China
| | - Ting-Hu Ren
- College of Agronomy, Shandong Agricultural University, Tai'an, Shandong, 271018, PR China
| | - Xin-Yang Huang
- Jining Academy of Agricultural Sciences, Jining, Shandong, 272075, PR China
| | - Zheng Xu
- Hansha Scientific Instruments Limited, Tai'an, Shandong, 271099, PR China
| | - Yan-Zheng Zhou
- Jining Academy of Agricultural Sciences, Jining, Shandong, 272075, PR China
| | - Cheng-Long Yin
- College of Agronomy, Shandong Agricultural University, Tai'an, Shandong, 271018, PR China
| | - Rui Zhao
- College of Agronomy, Shandong Agricultural University, Tai'an, Shandong, 271018, PR China
| | - Sheng-Bo Liu
- College of Agronomy, Shandong Agricultural University, Tai'an, Shandong, 271018, PR China
| | - Tang-Yuan Ning
- College of Agronomy, Shandong Agricultural University, Tai'an, Shandong, 271018, PR China.
| | - Geng Li
- College of Agronomy, Shandong Agricultural University, Tai'an, Shandong, 271018, PR China.
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4
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Tamang BG, Zhang Y, Zambrano MA, Ainsworth EA. Anatomical determinants of gas exchange and hydraulics vary with leaf shape in soybean. ANNALS OF BOTANY 2023; 131:909-920. [PMID: 36111999 PMCID: PMC10332398 DOI: 10.1093/aob/mcac118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 09/14/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND AND AIMS Leaf shape in crops can impact light distribution and carbon capture at the whole plant and canopy level. Given similar leaf inclination, narrow leaves can allow a greater fraction of incident light to pass through to lower canopy leaves by reducing leaf area index, which can potentially increase canopy-scale photosynthesis. Soybean has natural variation in leaf shape which can be utilized to optimize canopy architecture. However, the anatomical and physiological differences underlying variation in leaf shape remain largely unexplored. METHODS In this study, we selected 28 diverse soybean lines with leaf length to width ratios (leaf ratio) ranging between 1.1 and 3.2. We made leaf cross-sectional, gas exchange, vein density and hydraulic measurements and studied their interrelationships among these lines. KEY RESULTS Our study shows that narrow leaves tend to be thicker, with an ~30 µm increase in leaf thickness for every unit increase in leaf ratio. Interestingly, thicker leaves had a greater proportion of spongy mesophyll while the proportions of palisade and paraveinal mesophyll decreased. In addition, narrow and thicker leaves had greater photosynthesis and stomatal conductance per unit area along with greater leaf hydraulic conductance. CONCLUSIONS Our results suggest that selecting for narrow leaves can improve photosynthetic performance and potentially provide a yield advantage in soybean.
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Affiliation(s)
- Bishal G Tamang
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Yanqun Zhang
- China Institute of Water Resources and Hydropower Research, Department of Irrigation and Drainage, Beijing, China
| | - Michelle A Zambrano
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Elizabeth A Ainsworth
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Global Change and Photosynthesis Research Unit, USDA ARS, Urbana, IL, USA
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5
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Liu P, Tong X, Zhang J, Meng P, Li J, Zhang J, Zhou Y. Effect of diffuse fraction on gross primary productivity and light use efficiency in a warm-temperate mixed plantation. FRONTIERS IN PLANT SCIENCE 2022; 13:966125. [PMID: 36304388 PMCID: PMC9593097 DOI: 10.3389/fpls.2022.966125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 09/16/2022] [Indexed: 06/16/2023]
Abstract
Diffuse radiation (I f) is one of important variables determining photosynthetic rate and carbon uptake of forest ecosystems. However, the responses of gross primary productivity (GPP) and light use efficiency (LUE) to diffuse fraction (DF) are still poorly understood. We used a 6-year dataset of carbon flux at a warm-temperate mixed plantation site in North China to explore the impacts of DF on GPP and LUE. During 2011-2017, ecosystem apparent quantum yield (α) and photosynthesis at photosynthetically active radiation (PAR) of 1800 µmol m-2 s-1 (P 1800) on cloudy days were 63% and 17% higher than on clear days, respectively. Under lower vapor pressure deficit (VPD) and air temperature (T a) conditions, canopy photosynthesis was significantly higher on cloudy skies than on clear skies. On half-hourly scale, increased DF enhanced α and P 1800. Daily GPP peaked at a median DF (=0.5), while daily LUE significantly increased with DF (p<0.01). Both GPP and LUE were mainly controlled directly by DF and PAR. DF had an indirect effect on LUE and GPP mainly through PAR. At high DF levels (>0.5), the increase in LUE did not make GPP enhancement. The direct effect of DF on GPP and LUE under lower T a and VPD was more sensitive than under higher T a and VPD. When DF was incorporated into the Michaelis-Menten model, it performed well in the GPP estimation, and the determination coefficient increased by 32.61% and the root mean square error decreased by 25.74%. These findings highlight the importance of incorporating DF into carbon sequestration estimation in North China.
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Affiliation(s)
- Peirong Liu
- School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China
| | - Xiaojuan Tong
- School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China
| | - Jinsong Zhang
- Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China
| | - Ping Meng
- Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China
| | - Jun Li
- Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Jingru Zhang
- School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China
| | - Yu Zhou
- Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China
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6
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Wang Z, Wang C, Wang X, Wang B, Wu J, Liu L. Aerosol pollution alters the diurnal dynamics of sun and shade leaf photosynthesis through different mechanisms. PLANT, CELL & ENVIRONMENT 2022; 45:2943-2953. [PMID: 35906794 DOI: 10.1111/pce.14411] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 07/16/2022] [Accepted: 07/27/2022] [Indexed: 06/15/2023]
Abstract
Anthropogenic aerosols have been shown to perturb CO2 exchange between the vegetation and the atmosphere. However, the climate effects of aerosols through carbon cycle feedback still have significant uncertainties. Taking advantage of the periodic fluctuations of aerosol loading in Beijing, we intensively measured the diurnal course of leaf microclimates and photosynthesis under different aerosol conditions during the growing season in 2014 and 2015. We found that increasing aerosol loadings altered the diurnal course of microclimates and thus sun and shade leaf photosynthesis. Our mechanistic photosynthesis model experiments further showed that aerosol-induced increase in sun leaf photosynthesis occurred around noon and afternoon, mainly by alleviating the depression of photosynthesis caused by high leaf temperature and leaf-air vapour pressure deficit. Meanwhile, aerosols enhanced shade leaf photosynthesis throughout the day by mitigating the light limitation within the canopy, with the highest increase occurring around noon. Overall, our study suggested that aerosol's diffuse fertilization effect, cooling effect and the accompanying low leaf-air vapour pressure deficit collectively drove the changes in the diurnal courses of sun and shade leaf photosynthesis. Our results provided an important benchmark for assessing how anthropogenic aerosols regulate ecosystem C balance under different meteorological conditions.
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Affiliation(s)
- Zhenhua Wang
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
- The Engineering Technology Research Center of Characteristic Medicinal Plants of Fujian, School of Life Sciences, Ningde Normal University, Ningde, Fujian, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Chengzhang Wang
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xin Wang
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Bin Wang
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Jin Wu
- School of Biological Sciences, University of Hong Kong, Hong Kong, China
- State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Hong Kong, China
| | - Lingli Liu
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
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7
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Gu S, Wen W, Xu T, Lu X, Yu Z, Guo X, Zhao C. Use of 3D modeling to refine predictions of canopy light utilization: A comparative study on canopy photosynthesis models with different dimensions. FRONTIERS IN PLANT SCIENCE 2022; 13:735981. [PMID: 36061758 PMCID: PMC9434122 DOI: 10.3389/fpls.2022.735981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 07/27/2022] [Indexed: 06/15/2023]
Abstract
Canopy photosynthesis integrates leaf functional and structural traits in space and time and correlates positively with yield formation. Many models with different levels of architectural details ranging from zero-dimensional (0D) to three-dimensional (3D) have been developed to simulate canopy light interception and photosynthesis. Based on these models, a crop growth model can be used to assess crop yield in response to genetic improvement, optimized practices, and environmental change. However, to what extent do architectural details influence light interception, photosynthetic production, and grain yield remains unknown. Here, we show that a crop growth model with high-resolution upscaling approach in space reduces the departure of predicted yield from actual yield and refines the simulation of canopy photosynthetic production. We found crop yield predictions decreased by 12.0-48.5% with increasing the resolution of light simulation, suggesting that a crop growth model without architectural details may result in a considerable departure from the actual photosynthetic production. A dramatic difference in light interception and photosynthetic production of canopy between cultivars was captured by the proposed 3D model rather than the 0D, 1D, and 2D models. Furthermore, we found that the overestimation of crop yield by the 0D model is caused by the overestimation of canopy photosynthetically active radiation (PAR) interception and the RUE and that by the 1D and 2D model is caused by the overestimated canopy photosynthesis rate that is possibly related to higher predicted PAR and fraction of sunlit leaves. Overall, this study confirms the necessity of taking detailed architecture traits into consideration when evaluating the strategies of genetic improvement and canopy configuration in improving crop yield by crop modeling.
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Affiliation(s)
- Shenghao Gu
- Information Technology Research Center, Beijing Academy of Agriculture Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Digital Plant, National Engineering Research Center for Information Technology in Agriculture, Beijing, China
| | - Weiliang Wen
- Information Technology Research Center, Beijing Academy of Agriculture Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Digital Plant, National Engineering Research Center for Information Technology in Agriculture, Beijing, China
| | - Tianjun Xu
- Maize Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Xianju Lu
- Information Technology Research Center, Beijing Academy of Agriculture Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Digital Plant, National Engineering Research Center for Information Technology in Agriculture, Beijing, China
| | - Zetao Yu
- Information Technology Research Center, Beijing Academy of Agriculture Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Digital Plant, National Engineering Research Center for Information Technology in Agriculture, Beijing, China
| | - Xinyu Guo
- Information Technology Research Center, Beijing Academy of Agriculture Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Digital Plant, National Engineering Research Center for Information Technology in Agriculture, Beijing, China
| | - Chunjiang Zhao
- Information Technology Research Center, Beijing Academy of Agriculture Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Digital Plant, National Engineering Research Center for Information Technology in Agriculture, Beijing, China
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8
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Yan H, Harrison MT, Liu K, Wang B, Feng P, Fahad S, Meinke H, Yang R, Liu DL, Archontoulis S, Huber I, Tian X, Man J, Zhang Y, Zhou M. Crop traits enabling yield gains under more frequent extreme climatic events. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 808:152170. [PMID: 34875326 DOI: 10.1016/j.scitotenv.2021.152170] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 11/17/2021] [Accepted: 11/30/2021] [Indexed: 05/16/2023]
Abstract
Climate change (CC) in central China will change seasonal patterns of agricultural production through increasingly frequent extreme climatic events (ECEs). Breeding climate-resilient wheat (Triticum aestivum L.) genotypes may mitigate adverse effects of ECEs on crop productivity. To reveal crop traits conducive to long-term yield improvement in the target population of environments, we created 8,192 virtual genotypes with contrasting but realistic ranges of phenology, productivity and waterlogging tolerance. Using these virtual genotypes, we conducted a genotype (G) by environment (E) by management (M) factorial analysis (G×E×M) using locations distributed across the entire cereal cropping zone in mid-China. The G×E×M invoked locally-specific sowing dates under future climates that were premised on shared socioeconomic pathways SSP5-8.5, with a time horizon centred on 2080. Across the simulated adaptation landscape, productivity was primarily driven by yield components and phenology (average grain yield increase of 6-69% across sites with optimal combinations of these traits). When incident solar radiation was not limiting carbon assimilation, ideotypes with higher grain yields were characterised by earlier flowering, higher radiation-use efficiency and larger maximum kernel size. At sites with limited solar radiation, crops required longer growing periods to realise genetic yield potential, although higher radiation-use efficiency and larger maximum kernel size were again prospective traits enabling higher rates of yield gains. By 2080, extreme waterlogging stress in some regions of mid-China will impact substantially on productivity, with yield penalties of up to 1,010 kg ha-1. Ideotypes with optimal G×M could mitigate yield penalty caused by waterlogging by up to 15% under future climates. These results help distil promising crop trait by best management practice combinations that enable higher yields and robust adaptation to future climates and more frequent extreme climatic events, including flash flooding and soil waterlogging.
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Affiliation(s)
- Haoliang Yan
- Engineering Research Center of Ecology and Agricultural Use of Wetland, College of Agriculture, Yangtze University, Jingzhou 434025, Hubei, China
| | - Matthew Tom Harrison
- Tasmanian Institute of Agriculture, University of Tasmania, Burnie 7250, Tasmania, Australia
| | - Ke Liu
- Engineering Research Center of Ecology and Agricultural Use of Wetland, College of Agriculture, Yangtze University, Jingzhou 434025, Hubei, China; Tasmanian Institute of Agriculture, University of Tasmania, Burnie 7250, Tasmania, Australia.
| | - Bin Wang
- New South Wales Department of Primary Industries, Wagga Wagga Agriculture Institute, Wagga Wagga, New South Wales 2650, Australia
| | - Puyu Feng
- College of Land Science and Technology, China Agricultural University, Beijing 100193, China
| | - Shah Fahad
- Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresource, College of Tropical Crops, Hainan University, Haikou 570228, Hainan, China; Department of Agronomy, The University of Haripur, Haripur, Khyber Pakhtunkhwa 22620, Pakistan
| | - Holger Meinke
- University of Tasmania, Hobart 7001, Tasmania, Australia
| | - Rui Yang
- Engineering Research Center of Ecology and Agricultural Use of Wetland, College of Agriculture, Yangtze University, Jingzhou 434025, Hubei, China
| | - De Li Liu
- New South Wales Department of Primary Industries, Wagga Wagga Agriculture Institute, Wagga Wagga, New South Wales 2650, Australia
| | | | - Isaiah Huber
- Department of Agronomy, Iowa State University, Ames, IA 50011, United States
| | - Xiaohai Tian
- Engineering Research Center of Ecology and Agricultural Use of Wetland, College of Agriculture, Yangtze University, Jingzhou 434025, Hubei, China
| | - Jianguo Man
- MARA Key Laboratory of Crop Ecophysiology and Farming System in the Middle Reaches of the Yangtze River, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Yunbo Zhang
- Engineering Research Center of Ecology and Agricultural Use of Wetland, College of Agriculture, Yangtze University, Jingzhou 434025, Hubei, China.
| | - Meixue Zhou
- Tasmanian Institute of Agriculture, University of Tasmania, Burnie 7250, Tasmania, Australia
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9
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Hussain S, Ulhassan Z, Brestic M, Zivcak M, Allakhverdiev SI, Yang X, Safdar ME, Yang W, Liu W. Photosynthesis research under climate change. PHOTOSYNTHESIS RESEARCH 2021; 150:5-19. [PMID: 34235625 DOI: 10.1007/s11120-021-00861-z] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Accepted: 06/28/2021] [Indexed: 05/13/2023]
Abstract
Increasing global population and climate change uncertainties have compelled increased photosynthetic efficiency and yields to ensure food security over the coming decades. Potentially, genetic manipulation and minimization of carbon or energy losses can be ideal to boost photosynthetic efficiency or crop productivity. Despite significant efforts, limited success has been achieved. There is a need for thorough improvement in key photosynthetic limiting factors, such as stomatal conductance, mesophyll conductance, biochemical capacity combined with Rubisco, the Calvin-Benson cycle, thylakoid membrane electron transport, nonphotochemical quenching, and carbon metabolism or fixation pathways. In addition, the mechanistic basis for the enhancement in photosynthetic adaptation to environmental variables such as light intensity, temperature and elevated CO2 requires further investigation. This review sheds light on strategies to improve plant photosynthesis by targeting these intrinsic photosynthetic limitations and external environmental factors.
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Affiliation(s)
- Sajad Hussain
- College of Agronomy, Sichuan Agricultural University, 211-Huimin Road, Wenjiang District, Chengdu, 611130, People's Republic of China
- Key Laboratory of Crop Ecophysiology and Farming System in Southwest China (Ministry of Agriculture), Sichuan Engineering Research Center for Crop Strip Intercropping System, Sichuan Agricultural University, Chengdu, People's Republic of China
| | - Zaid Ulhassan
- Institute of Crop Science, Ministry of Agriculture and Rural Affairs Laboratory of Spectroscopy Sensing, Zhejiang University, Hangzhou, 310058, People's Republic of China
| | - Marian Brestic
- Department of Plant Physiology, Slovak University of Agriculture, 94976, Nitra, Slovakia
| | - Marek Zivcak
- Department of Plant Physiology, Slovak University of Agriculture, 94976, Nitra, Slovakia
| | - Suleyman I Allakhverdiev
- К.A. Timiryazev Institute of Plant Physiology, Russian Academy of Sciences, Botanicheskaya St. 35, Moscow, Russia, 127276
| | - Xinghong Yang
- Department of Plant Physiology, College of Life Sciences, Shandong Agricultural University, Daizong Road No. 61, 271018, Taian, People's Republic of China
| | | | - Wenyu Yang
- College of Agronomy, Sichuan Agricultural University, 211-Huimin Road, Wenjiang District, Chengdu, 611130, People's Republic of China.
- Key Laboratory of Crop Ecophysiology and Farming System in Southwest China (Ministry of Agriculture), Sichuan Engineering Research Center for Crop Strip Intercropping System, Sichuan Agricultural University, Chengdu, People's Republic of China.
| | - Weiguo Liu
- College of Agronomy, Sichuan Agricultural University, 211-Huimin Road, Wenjiang District, Chengdu, 611130, People's Republic of China.
- Key Laboratory of Crop Ecophysiology and Farming System in Southwest China (Ministry of Agriculture), Sichuan Engineering Research Center for Crop Strip Intercropping System, Sichuan Agricultural University, Chengdu, People's Republic of China.
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10
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Liu Z, Yang X, Lin X, Zhang Z, Sun S, Ye Q. From dimming to brightening during 1961 to 2014 in the maize growing season of China. Food Energy Secur 2021. [DOI: 10.1002/fes3.275] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Affiliation(s)
- Zhijuan Liu
- College of Resources and Environmental Sciences China Agricultural University Beijing China
| | - Xiaoguang Yang
- College of Resources and Environmental Sciences China Agricultural University Beijing China
| | - Xiaomao Lin
- Department of Agronomy Kansas State University Manhattan KS USA
| | - Zhentao Zhang
- College of Resources and Environmental Sciences China Agricultural University Beijing China
| | - Shuang Sun
- College of Resources and Environmental Sciences China Agricultural University Beijing China
| | - Qing Ye
- Forestry Institute Jiangxi Agricultural University Nanchang China
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