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Zheng B, Li YT, Wu QP, Zhao W, Ren TH, Zhang XH, Li G, Ning TY, Zhang ZS. Maize (Zea mays L.) planted at higher density utilizes dynamic light more efficiently. PLANT, CELL & ENVIRONMENT 2023; 46:3305-3322. [PMID: 37485705 DOI: 10.1111/pce.14673] [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: 12/22/2022] [Revised: 06/15/2023] [Accepted: 07/11/2023] [Indexed: 07/25/2023]
Abstract
In nature, plants are exposed to a dynamic light environment. Fluctuations in light decreased the photosynthetic light utilization efficiency (PLUE) of leaves, and much more severely in C4 species than in C3 species. However, little is known about the plasticity of PLUE under dynamic light in C4 species. Present study focused on the influence of planting density to the photosynthesis under dynamic light in maize (Zea mays L.), a most important C4 crop. In addition, the molecular mechanism behind photosynthetic adaptation to planting density were also explored by quantitative proteomics analysis. Results revealed that as planting density increases, maize leaves receive less light that fluctuates more. The maize planted at high density (HD) improved the PLUE under dynamic light, especially in the middle and later growth stages. Quantitative proteomics analysis showed that the transfer of nitrogen from Rubisco to RuBP regeneration and C4 pathway related enzymes contributes to the photosynthetic adaptation to lower and more fluctuating light environment in HD maize. This study provides potential ways to further improve the light energy utilization efficiency of maize in HD.
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Affiliation(s)
- Bin Zheng
- College of Agronomy, Shandong Agricultural University, Tai'an, Shandong, P. R. China
| | - Yu-Ting Li
- College of Agronomy, Shandong Agricultural University, Tai'an, Shandong, P. R. China
| | - Qiu-Ping Wu
- Jining Academy of Agricultural Sciences, Shandong, P. R. China
| | - Wei Zhao
- College of Agronomy, Shandong Agricultural University, Tai'an, Shandong, P. R. China
| | - Ting-Hu Ren
- College of Agronomy, Shandong Agricultural University, Tai'an, Shandong, P. R. China
| | - Xing-Hui Zhang
- College of Agronomy, Shandong Agricultural University, Tai'an, Shandong, P. R. China
| | - Geng Li
- College of Agronomy, Shandong Agricultural University, Tai'an, Shandong, P. R. China
| | - Tang-Yuan Ning
- College of Agronomy, Shandong Agricultural University, Tai'an, Shandong, P. R. China
| | - Zi-Shan Zhang
- College of Life Sciences, Shandong Agricultural University, Tai'an, Shandong, P. R. China
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Qi K, Pang X, Yang B, Bao W. Soil carbon, nitrogen and phosphorus ecological stoichiometry shifts with tree species in subalpine plantations. PeerJ 2020; 8:e9702. [PMID: 33083099 PMCID: PMC7560321 DOI: 10.7717/peerj.9702] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Accepted: 07/21/2020] [Indexed: 11/20/2022] Open
Abstract
Understanding ecological stoichiometric characteristics of soil nutrient elements, such as carbon (C), nitrogen (N) and phosphorus (P) is crucial to guide ecological restoration of plantations in ecologically vulnerable areas, such as alpine and subalpine regions. However, there has been only a few related studies, and thus whether and how different tree species would affect soil C:N:P ecological stoichiometry remains unclear. We compared soil C:N:P ecological stoichiometry of Pinus tabulaeformis, Larix kaempferi and Cercidiphyllum japonicum to primary shrubland in a subalpine region. We observed strong tree-specific and depth-dependent effects on soil C:N:P stoichiometry in subalpine plantations. In general, the C:N, C:P and N:P of topsoil (0-10 cm) are higher than subsoil (>10 cm) layer at 0-30 cm depth profiles. The differences in C:N, N:P and C:P at the topsoil across target tree species were significantly linked to standing litter stock, tree biomass/total aboveground biomass and Margalef's index of plant community, respectively, whereas the observed variations of C:N, N:P and C:P ratio among soil profiles are closely related to differences in soil bulk density, soil moisture, the quantity and quality of aboveground litter inputs as well as underground fine root across plantations examined. Our results highlight that soil nutrients in plantation depend on litter quantity and quality of selected tree species as well as soil physical attributes. Therefore, matching site with trees is crucial to enhance ecological functioning in degraded regions resulting from human activity.
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Affiliation(s)
- Kaibin Qi
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Xueyong Pang
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Bing Yang
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Weikai Bao
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
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Dai X, Fu X, Kou L, Wang H, Shock CC. C:N:P stoichiometry of rhizosphere soils differed significantly among overstory trees and understory shrubs in plantations in subtropical China. CANADIAN JOURNAL OF FOREST RESEARCH 2018; 48:1398-1405. [PMID: 0 DOI: 10.1139/cjfr-2018-0095] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
Rhizosphere soil C:N:P stoichiometry is useful for identifying the linkage of plant species and soil nutrients, which can be particularly helpful for understory vegetation management of forest ecosystems. There has been limited research on rhizosphere soil stoichiometry, especially for co-existing overstory and understory plant species. We investigated the bulk and rhizosphere soil C:N:P stoichiometry of dominant overstory trees and understory shrubs (Adinandra millettii, Eurya muricata, and Loropetalum chinense) in Pinus massoniana Lamb., Pinus elliottii Engelm., and Cunninghamia lanceolata (Lamb.) Hook. plantations in subtropical China. Rhizosphere soil C, N, and P concentrations and ratios increased significantly compared with bulk soil, and those of overstory trees were higher than those of understory shrubs with the exception of L. chinense. Rhizosphere soil C:N, C:P, and N:P of L. chinense were not significantly different with those of overstory trees but were higher than those of A. millettii and E. muricata. Soil pH significantly influenced the profiles produced by soil C, N, and P concentrations and their stoichiometries. This study indicated that the difference in nutrient status between overstory trees and understory shrubs was related to shrub species, in which soil pH was the dominant driving factor. Understory shrub species should be considered in plantation management to reduce resource competition among species.
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Affiliation(s)
- Xiaoqin Dai
- Qianyanzhou Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
- Jiangxi Key Laboratory of Ecosystem Processes and Information, Ji’an, 343725, China
| | - Xiaoli Fu
- Qianyanzhou Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
- Jiangxi Key Laboratory of Ecosystem Processes and Information, Ji’an, 343725, China
| | - Liang Kou
- Qianyanzhou Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
- Jiangxi Key Laboratory of Ecosystem Processes and Information, Ji’an, 343725, China
| | - Huimin Wang
- Qianyanzhou Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
- Jiangxi Key Laboratory of Ecosystem Processes and Information, Ji’an, 343725, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100190, China
| | - Clinton C. Shock
- Malheur Experiment Station, Oregon State University, Ontario, OR 97914, USA
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