Specific interactions leading to transgressive overyielding in cover crop mixtures

Wendling, Marina; Büchi, Lucie; Amossé, Camille; Jeangros, B.; Walter, Achim; Charles, Raphaël

doi:10.1016/j.agee.2017.03.003

Cited by 69 publications

(78 citation statements)

References 52 publications

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“…This is an interesting solution for mitigating GHG emissions, along with increasing soil organic matter content and improving the associated physical and chemical properties that determine soil fertility and susceptibility to erosion. This effect could be more important if cover crop biomass is higher than 1.5 t/ha, which could easily be reached by sowing species mixtures including legumes and earlier sowing dates than tested here, as this is the case in agricultural regions of Europe more wet during summer and autumn (Tosti et al., ; Tribouillois et al., ; Wendling et al., ). Then the potential of cover crops to mitigate climate change in Europe and in particular in France is really important and merits great attention for improving their adaptation by farmers.…”

Section: Discussionmentioning

confidence: 82%

“…In France, 2 million ha received cover crops in 2010 (AGRESTE database of the French Ministry of Agriculture, 2010 autumn (Tosti et al, 2012;Tribouillois et al, 2016;Wendling et al, 2017). Then the potential of cover crops to mitigate climate change in Europe and in particular in France is really important and merits great attention for improving their adaptation by farmers.…”

Section: Cover Crops Improve the Greenhouse Gases Balancementioning

confidence: 99%

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Cover crops mitigate direct greenhouse gases balance but reduce drainage under climate change scenarios in temperate climate with dry summers

Tribouillois¹,

Constantin²,

Justes³

2018

Global Change Biology

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Cover crops provide ecosystem services such as storing atmospheric carbon in soils after incorporation of their residues. Cover crops also influence soil water balance, which can be an issue in temperate climates with dry summers as for example in southern France and Europe. As a consequence, it is necessary to understand cover crops' long-term influence on greenhouse gases (GHG) and water balances to assess their potential to mitigate climate change in arable cropping systems. We used the previously calibrated and validated soil-crop model STICS to simulate scenarios of cover crop introduction to assess their influence on rainfed and irrigated cropping systems and crop rotations distributed among five contrasted sites in southern France from 2007 to 2052. Our results showed that cover crops can improve mean direct GHG balance by 315 kg CO e ha year in the long term compared to that of bare soil. This was due mainly to an increase in carbon storage in the soil despite a slight increase in N O emissions which can be compensated by adapting fertilization. Cover crops also influence the water balance by reducing mean annual drainage by 20 mm/year but increasing mean annual evapotranspiration by 20 mm/year compared to those of bare soil. Using cover crops to improve the GHG balance may help to mitigate climate change by decreasing CO e emitted in cropping systems which can represent a decrease from 4.5% to 9% of annual GHG emissions of the French agriculture and forestry sector. However, if not well managed, they also could create water management issues in watersheds with shallow groundwater. Relationships between cover crop biomass and its influence on several variables such as drainage, carbon sequestration, and GHG emissions could be used to extend our results to other conditions to assess the cover crops' influence in a wider range of areas.

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Section: Discussionmentioning

confidence: 82%

Section: Cover Crops Improve the Greenhouse Gases Balancementioning

confidence: 99%

Cover crops mitigate direct greenhouse gases balance but reduce drainage under climate change scenarios in temperate climate with dry summers

Tribouillois¹,

Constantin²,

Justes³

2018

Global Change Biology

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“…It is a fact that negative plant-plant interactions, in particular competitive interactions, are thought of as the major factor responsible for crop yield reduction and for determining the structure of natural plant communities. However, this view has been recently challenged by several studies and the role of positive interactions (mostly facilitation) on overyielding in crop mixtures and in regulating the composition of natural plant communities has gained a lot of attention (Bertness and Callaway, 1994;Callaway, 1995;Brooker and Callaghan, 1998;Bruno et al, 2003;Brooker et al, 2008;Bukowski and Petermann, 2014;Li et al, 2014;Wendling et al, 2017). The next challenge is therefore the identification of candidate genes underlying positive interactions in various plant-plant interacting systems, which would enable testing whether some signaling pathways involved in response to neighbor presence are shared between competitive, asymmetric and reciprocal helping interactions.…”

Section: Highlights On the Nature Of The Datamentioning

confidence: 99%

“…As previously mentioned, studies reporting the genetic and molecular bases underlying natural variation of reciprocal helping are scarce (not to say absent) despite the role of positive plant-plant interactions on overyielding in crop mixtures and in regulating the composition of natural plant communities (Brooker et al, 2008;Li et al, 2014;Wendling et al, 2017). Based on an innovative strategy recently developed for global genome-to-genome analysis and employed in the human-HIV pathosystem (Bartha et al, 2013), we propose an ecological genomics strategy of GWA mapping to identify natural genetic variants underlying mutualism between two plant species, without the need to obtain large phenotypic data sets.…”

Section: Future Avenuesmentioning

confidence: 99%

The genetics underlying natural variation of plant–plant interactions, a beloved but forgotten member of the family of biotic interactions

et al. 2018

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Despite the importance of plant-plant interactions on crop yield and plant community dynamics, our understanding of the genetic and molecular bases underlying natural variation of plant-plant interactions is largely limited in comparison with other types of biotic interactions. By listing 63 quantitative trait loci (QTL) mapping and global gene expression studies based on plants directly challenged by other plants, we explored whether the genetic architecture and the function of the candidate genes underlying natural plant-plant interactions depend on the type of interactions between two plants (competition versus commensalism versus reciprocal helping versus asymmetry). The 16 transcriptomic studies are unevenly distributed between competitive interactions (n = 12) and asymmetric interactions (n = 4, all focusing on response to parasitic plants). By contrast, 17 and 30 QTL studies were identified for competitive interactions and asymmetric interactions (either weed suppressive ability or response to parasitic plants), respectively. Surprisingly, no studies have been carried out on the identification of genetic and molecular bases underlying natural variation in positive interactions. The candidate genes underlying natural plant-plant interactions can be classified into seven categories of plant function that have been identified in artificial environments simulating plant-plant interactions either frequently (photosynthesis, hormones), only recently (cell wall modification and degradation, defense pathways against pathogens) or rarely (ABC transporters, histone modification and meristem identity/life history traits). Finally, we introduce several avenues that need to be explored in the future to obtain a thorough understanding of the genetic and molecular bases underlying plant-plant interactions within the context of realistic community complexity.

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“…Species interaction is sparking much attention because it is fundamental for better understanding of the ecological function of intercropping (Trinder et al, 2013;Zhang et al, 2016); it normally drives different rhizospheric processes in intercropping (Betencourt et al, 2012;Li et al, 2014b) and is highly related to crop performances (Corre-Hellou et al, 2011;Wendling et al, 2017). Dynamic biomass production and N and P uptake based on a logistic model in an intercropped wheat (Triticum aestivum L., IW) and faba bean (Vicia faba L., IB) system were estimated by Li et al (2014aLi et al ( , 2015.…”

Section: Wheat Growth Is Stimulated By Interspecific Competition Aftementioning

confidence: 99%

Wheat Growth Is Stimulated by Interspecific Competition after Faba Bean Attains Its Maximum Growth Rate

et al. 2019

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Competition and facilitation adequately explain high yield and high resource use efficiency in intercropping; however, little research has focused on dynamic trajectories and interaction in a wheat (Triticum aestivum L.) and faba bean (Vicia faba L.) intercropping system under different P application rates. Field experiments were conducted with three planting patterns (monocropped wheat [MW], monocropped faba bean [MB], and wheat and faba bean intercropping) and three rates of P fertilization (0 [P0], 45 [P45], and 90 kg P2O5 ha−1 [P90]). The biomass of faba bean and wheat was sequentially sampled 10 and 11 times, respectively, during each growing season, and growth parameters and species interaction were simulated and calculated. Wheat and faba bean suffered different competition pressures in intercropping, but intercropping still showed yield advantages, and the interaction between wheat and faba bean was not regulated by P rate under moderate soil P fertility. Wheat was not dominant in intercropping until faba bean reached its maximum growth rate (Rmax). The Rmax, maximum biomass production, and grain yield of wheat increased by 12 to 18, 4 to 16, and 16 to 17%, respectively, when wheat was intercropped with faba bean relative to MW, and all of these variables for intercropped wheat at P45 were equal to those for MW at P90 due to the interactions between planting pattern and P rate. The findings suggest the time to reach the Rmax of faba bean is a turning point for the intercropping effects on wheat, and intercropping shows potential to maintain higher system productivity than monocropping under reduced P application.

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Specific interactions leading to transgressive overyielding in cover crop mixtures

Cited by 69 publications

References 52 publications

Cover crops mitigate direct greenhouse gases balance but reduce drainage under climate change scenarios in temperate climate with dry summers

Cover crops mitigate direct greenhouse gases balance but reduce drainage under climate change scenarios in temperate climate with dry summers

The genetics underlying natural variation of plant–plant interactions, a beloved but forgotten member of the family of biotic interactions

Wheat Growth Is Stimulated by Interspecific Competition after Faba Bean Attains Its Maximum Growth Rate

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