Effects of open-air elevated atmospheric CO2 concentration on yield quality of soybean (Glycine max (L.) Merr)

Hao, Xingyu; Gao, Jianguo; Han, Xue; Ma, Zhanyun; Merchant, Andrew; Jiang, Hui; Li, Ping; WanShen, Yang; Gao, Zhiqiang; Lin, Erda

doi:10.1016/j.agee.2014.04.002

Cited by 42 publications

(34 citation statements)

References 22 publications

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“…CO 2 enrichment tended to stimulate cellulose-degrading (b-1,4-glucosidase and cellobiohydrolase) and lignindegrading (phenol oxidase and peroxidase) enzyme activities in the rhizosphere and the upper 10 cm bulk soils. These results, to a certain extent, confirm our first hypothesis that elevated CO 2 would stimulate cellulose-and lignin-degrading enzyme activities in the rhizosphere due to greater root biomass, greater fine root turnover and greater rhizo-deposition (Hao et al 2013(Hao et al , 2014. Kandeler et al (2006) also Fig.…”

Section: Soil C Degradation Under Co 2 Enrichmentsupporting

confidence: 77%

“…In contrast, N fertilizer application will inhibit the activity of lignin-degrading white-rot fungi, increasing the release of water soluble soft-rot products (Sinsabaugh et al 2004;DeForest et al 2004;Gallo et al 2005). In the semi-arid agricultural ecosystem of northern China, elevated CO 2 significantly increased the rate of crop photosynthesis (Hao et al 2013), the production of wheat and soybean roots (Hao et al 2014), and the rate of soil respiration (Lam et al 2011). Therefore, we hypothesized that elevated CO 2 would stimulate cellulose-and lignin-degrading enzyme activities in the rhizosphere due to greater root biomass and rhizo-deposition, while N fertilizer application would inhibit lignin-degrading enzyme activities in the N-rich agricultural soils (Ebersberger et al 2003).…”

Section: Introductionmentioning

confidence: 99%

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Elevated atmospheric carbon dioxide concentration stimulates soil microbial activity and impacts water-extractable organic carbon in an agricultural soil

Han

Cheng

Lin³

et al. 2014

Biogeochemistry

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Carbon dioxide (CO 2 ) enrichment and increased nitrogen (N) deposition can change microbial activity and dissolved organic carbon (DOC) turnover, consequently affecting carbon sequestration in soils. However, we do not have much available information on the relationship between soil DOC and microbial activity under CO 2 enrichment and N addition in semiarid agroecosystems. Using free air CO 2 enrichment (FACE), soybean and winter wheat were grown in the field under ambient CO 2 (350 lmol mol) and elevated CO 2 (550 lmol mol ). Rhizosphere soils and bulk soils at three depths, 0-10, 10-20 and 20-40 cm, were collected to determine water extractable organic matter (WEOM) characteristics with fluorescence spectroscopy and parallel factor analyses of excitation/emission matrix, as well as five extracellular enzymes activities. All significant effects were observed in the topsoil (0-10 cm): elevated CO 2 decreased water extractable organic carbon concentration of the rhizosphere soils and bulk soils by 8.5 and 10.1 %, respectively. Furthermore, elevated CO 2 changed the composition and structure of soil WEOM by increasing the plantand microbial-derived components in the rhizosphere and solubilizing soil organic matter (SOM). The activities of b-1,4-glucosidase, cellobiohydrolase, phenol oxidase, and peroxidase were stimulated by elevated CO 2 in the rhizosphere soils and bulk soils. Our findings suggest that the stimulation of microbial activity elicited by elevated CO 2 increased the turnover of labile WEOM and the solubilization of SOM in the topsoils, which could be adverse to the accumulation and stability of soil carbon in the semi-arid agroecosystems in northern China.

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Section: Soil C Degradation Under Co 2 Enrichmentsupporting

confidence: 77%

Section: Introductionmentioning

confidence: 99%

Elevated atmospheric carbon dioxide concentration stimulates soil microbial activity and impacts water-extractable organic carbon in an agricultural soil

Han

Cheng

Lin³

et al. 2014

Biogeochemistry

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“…With the Cropgro-Soybean in the potential condition, the largest increases of yield were also simulated in the RCP4.5-CMIP5 scenario; however, when the model was used with the water balance activated, negative yield anomalies were simulated in the same scenario, even with the increase of CO 2 concentration, as a consequence of limited water in the soil. The lowest increase in yield potential per unity of CO 2 increase in the SRES A1B-CMIP3 scenario is associated with the elevation of higher temperature in this scenario (Table 1), in comparison to the RCP4.5-CMIP5, that is, higher temperatures offset the benefit of the CO 2 concentration increase (Lal et al, 1999;Streck, 2005;Hao et al, 2014). ), simulated by SoySim and Cropgro-Soybean models in two future climate scenarios -SRES A1B-CMIP3 and RCP4.5-CMIP5 -, during the 2010-2099 period.…”

Section: Resultsmentioning

confidence: 99%

Soybean yield in future climate scenarios for the state of Rio Grande do Sul, Brazil

Ceolin

Streck

Fensterseifer

et al. 2017

Pesq. agropec. bras.

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-The objective of this work was to estimate the yield potential and the water-limited yield of soybean (Glycine max) in the state of Rio Grande do Sul, Brazil, in two future climate scenarios, SRES A1B and RCP4.5, using the SoySim and Cropgro-Soybean simulation models. In both models, three maturity groups (4.8, 5.5, and 6.0) and six sowing dates (09/01, 10/01, 11/01, 12/01, 01/01, and 02/01) were considered in the SRES A1B-CMIP3 and RCP4.5-CMIP5 scenarios. The analyzed variable was grain yield at 13% moisture ). Soybean yield potential in Rio Grande do Sul should increase up to the end of the 21 st century, according to both scenarios. Water-limited yield of soybean also increases up to the end of the 21 st century, by the SRES A1B-CMIP3 scenario; however, it will decrease in future periods, by the RCP4.5-CMIP5 scenario because of limited soil water.Index terms: Glycine max, climate change, Cropgro-Soybean model, RCP4.5, SoySim model, SRES A1B. Produtividade de soja em cenários climáticos futuros para o Rio Grande do SulResumo -O objetivo deste trabalho foi estimar a produtividade potencial e a produtividade com limitação de água em soja (Glycine max), no Rio Grande do Sul, em dois cenários climáticos futuros, SRES A1B e RCP4.5, por meio dos modelos agrícolas de simulação SoySim e Cropgro-Soybean. Consideraram-se, em ambos os modelos, três grupos de maturação (4.8, 5.5 e 6.0) e seis datas de semeadura (01/09, 01/10, 01/11, 01/12, 01/01 e 01/02), nos cenários SRES A1B-CMIP3 e RCP4.5-CMIP5. A variável analisada foi a produtividade de grãos de soja a 13% de umidade (Mg ha -1 ). A produtividade potencial de soja no Rio Grande do Sul deve aumentar até o final do século XXI, de acordo com ambos os cenários. A produtividade de soja com limite de água também aumenta até o final do século XXI, pelo cenário SRES A1B-CMIP3; porém, ela decrescerá nos períodos futuros, pelo cenário RCP4.5-CMIP5, em razão do estresse hídrico no solo.Termos para indexação: Glycine max, mudanças climáticas, modelo Cropgro-Soybean, RCP4.5, modelo SoySim, SRES A1B.

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“…in the present study the response was between 11 and 26% using the relative response rate for 580 ppm. Hao et al (2014) found yield gains between 26 and 31% with [CO2] of 550 ppm in relation the baseline (415 ppm), while in our study crop simulation models generated a yield increase between 9 and 20%. With higher change, from 400 to 700 ppm, Heinemann et al (2006) observed an increase of 7.5%, against 17 to 40% in present study.…”

Section: Rainfall Responsesmentioning

confidence: 90%

“…Both root traits showed a greater increase in the production under future than current climates, because these traits improved the water available to the crop, reducing water deficit, and enhancing the positive effect due to CO2 fertilization (HEINEMANN et al, 2006;HAO et al, 2014).…”

Section: Combination Of Traitsmentioning

confidence: 99%

Calibration, uncertainties and use of soybean crop simulation models for evaluating strategies to mitigate the effects of climate change in Southern Brazil

Battisti¹

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Effects of open-air elevated atmospheric CO2 concentration on yield quality of soybean (Glycine max (L.) Merr)

Cited by 42 publications

References 22 publications

Elevated atmospheric carbon dioxide concentration stimulates soil microbial activity and impacts water-extractable organic carbon in an agricultural soil

Elevated atmospheric carbon dioxide concentration stimulates soil microbial activity and impacts water-extractable organic carbon in an agricultural soil

Soybean yield in future climate scenarios for the state of Rio Grande do Sul, Brazil

Calibration, uncertainties and use of soybean crop simulation models for evaluating strategies to mitigate the effects of climate change in Southern Brazil

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