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Liu W, Liu L, Yan R, Gao J, Wu S, Liu Y. A comprehensive meta-analysis of the impacts of intensified drought and elevated CO 2 on forage growth. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 327:116885. [PMID: 36455442 DOI: 10.1016/j.jenvman.2022.116885] [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: 10/11/2022] [Revised: 11/17/2022] [Accepted: 11/24/2022] [Indexed: 06/17/2023]
Abstract
Forage crops are used worldwide as key feed sources for dairy systems. However, their productivity and quality are limited due to intensified drought events, elevated carbon dioxide (CO2), and their interaction with climate change, with consequences for the security of animal husbandry and the agricultural economy. Although studies have quantified the impacts of such stresses on forage growth, these impacts have been less systematically investigated in a global context due to differences among various forage groups, regional microclimates, and environmental factors. Herein we employed nine forage growth-related variables involving three perspectives, i.e., photosynthetic parameters, production, and quality, from research articles published between 1990 and 2021 via a meta-analysis. A linear mixed-effect model was then used to explore the quantitative relationship between these factors in a restricted dataset. Decreasing trends in all four photosynthetic parameters were detected across different eco-geographical regions with increasing drought stress. The maximum decrease in DMY occurred in the Mediterranean, with 52.8% under drought conditions. Globally, eCO2 significantly increased photosynthetic rate (Pn) and instantaneous water use efficiency (WUEi) by 40.8% and 62.1%, respectively, which also had positive effects on forage dry matter yield (DMY) (+25.1%), especially for forage in Northern Europe. However, this stress would significantly decrease forage quality by decreasing crude protein (CP) (-19.7%) and nitrogen content (N content) (-13.5%). These negative impacts would be aggravated under the co-occurrence of drought and eCO2, including a significant increase in WUEi (+111.1%) and a decrease in DMY (-12.3%). Gramineae showed a more sensitive response to drought stress in photosynthetic parameters and DMY than Leguminosae, but the latter exhibited a better response in photosynthetic parameters and production under eCO2. Our analysis provides a consensus concerning how the growth parameters of forage have changed under environmental stresses.
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Affiliation(s)
- Wanlu Liu
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Science, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Lulu Liu
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Science, Beijing, 100101, China.
| | - Rui Yan
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Science, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Jiangbo Gao
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Science, Beijing, 100101, China.
| | - Shaohong Wu
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Science, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Yanhua Liu
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Science, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
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Chen G, Sun LZ, Auerswald K. Effects of Wilting and Dew on the Water Isotope Composition of Detached Grass in Temperate Grassland. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2019; 67:9460-9467. [PMID: 31381328 DOI: 10.1021/acs.jafc.9b02978] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Understanding the water isotopes in feed products derived from grass is fundamental for tracing domestic animal products. Grass silage water was reported to have fewer heavy isotopes than fresh grass, but it is still unknown whether dew formation (either dewfall or dewrise), exchange with soil water, or other processes override the expected enrichment of heavy isotopes due to wilting. The isotopic variations of water (δ2H, δ18O) in fresh grass and cut grass during wilting on soil and on plastic were compared in this study. Drying enriched heavier isotopes, but this was overridden by three processes that finally caused low δ2H and δ18O values: (i) the adsorption of humidity from the surroundings, (ii) the exchange with humidity, and (iii) the depletion of heavy water isotopes close to organic surfaces, called the surface effect, which was the most dominant effect at the end of drying when the water content became low.
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Affiliation(s)
- Guo Chen
- College of Earth Science , Chengdu University of Technology , Chengdu 610059 , Sichuan , People's Republic of China
- Lehrstuhl für Grünlandlehre , Technische Universität München , Alte Akademie 12 , Freising-Weihenstephan 85354 , Germany
| | - Luan Zi Sun
- Lehrstuhl für Grünlandlehre , Technische Universität München , Alte Akademie 12 , Freising-Weihenstephan 85354 , Germany
- College of Grassland Agriculture , Northwest A&F University , Yangling , Shaanxi 712100 , People's Republic of China
| | - Karl Auerswald
- Lehrstuhl für Grünlandlehre , Technische Universität München , Alte Akademie 12 , Freising-Weihenstephan 85354 , Germany
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Chen G, Schäufele R, Auerswald K. Ambient Conditions and Feeding Strategy Influence δ 18O of Milk Water in Cows (Bos taurus). JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2017; 65:7387-7395. [PMID: 28780863 DOI: 10.1021/acs.jafc.7b02482] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
There are increasing concerns by consumers regarding agricultural product traceability and authenticity. Oxygen isotope composition (δ18O) has been used in this context based on the relationship between δ18O of animal products and annual precipitation. However, in dairy products this relationship is affected by the seasonality of δ18O in milk water which in turn depends on the feeding system used. We measured 608 milk samples from 28 farms with various feeding strategies in southern Germany throughout the year, investigating the influences of ambient conditions, drinking water source, and feeding strategies on seasonal variation of δ18O in milk water (δmilk). The mechanistic Munich-Kohn model reflecting these influences predicted the seasonal and farm-specific variation of δmilk well. The relationship between δ18O of precipitation and δmilk varied in different feeding strategies. The interplay of ambient conditions and feeding strategy on δmilk should thus be carefully considered when identifying the origin of milk.
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Affiliation(s)
- Guo Chen
- Lehrstuhl für Grünlandlehre, Technische Universität München , Alte Akademie 12, Freising-Weihenstephan 85354, Germany
| | - Rudi Schäufele
- Lehrstuhl für Grünlandlehre, Technische Universität München , Alte Akademie 12, Freising-Weihenstephan 85354, Germany
| | - Karl Auerswald
- Lehrstuhl für Grünlandlehre, Technische Universität München , Alte Akademie 12, Freising-Weihenstephan 85354, Germany
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Chen G, Schnyder H, Auerswald K. Model explanation of the seasonal variation of δ 18O in cow (Bos taurus) hair under temperate conditions. Sci Rep 2017; 7:320. [PMID: 28337022 PMCID: PMC5428254 DOI: 10.1038/s41598-017-00361-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2016] [Accepted: 02/21/2017] [Indexed: 11/08/2022] Open
Abstract
Oxygen isotopes (δ18O) in animal and human tissues are expected to be good recorders of geographical origin and migration histories. However, seasonal variation of δ18O may diminish the origin information in the tissues. Here the seasonality of δ18O in tail hair was investigated in a domestic suckler cow (Bos taurus) that underwent different ambient conditions, physiological states, keeping and feeding during five years. A detailed mechanistic model was built to explain this variation. The measured δ18O in hair significantly related (p < 0.05) to the δ18O in meteoric water in a regression analysis. Modelling suggested that this relation was only partly derived from the direct influence of feed moisture. Ambient conditions (temperature, moisture) also affected the animal itself (drinking water demand, transcutaneous vapor etc.). The clear temporal variation thus resulted from complex interactions with multiple influences. The twofold influence of ambient conditions via the feed and via the animal itself is advantageous for tracing the geographic origin because δ18O is then less influenced by variations in moisture uptake; however, it is unfavorable for indicating the production system, e.g. to distinguish between milk produced from fresh grass or from silage. The model is versatile but needs testing under a wider range of conditions.
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Affiliation(s)
- Guo Chen
- Lehrstuhl für Grünlandlehre, Technische Universität München, Alte Akademie 12, Freising-Weihenstephan, 85354, Germany
| | - Hans Schnyder
- Lehrstuhl für Grünlandlehre, Technische Universität München, Alte Akademie 12, Freising-Weihenstephan, 85354, Germany
| | - Karl Auerswald
- Lehrstuhl für Grünlandlehre, Technische Universität München, Alte Akademie 12, Freising-Weihenstephan, 85354, Germany.
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