Soybean in the European Union, Status and Perspective

Bertheau, Yves; Davison, John

doi:10.5772/18896

Cited by 10 publications

(8 citation statements)

References 112 publications

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“…[66] reported higher protein contents, which varied from 404 g kg −1 for their conventional system, to 418 g kg −1 for no-tillage system. Higher protein contents have also been attributed to the cropping system, although lower fat content was shown compared to soybean grown in monoculture [3]. Ref.…”

Section: Nutritional Composition Of Soybean Seedsmentioning

confidence: 99%

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Soybean (Glycine max (L.) Merr.) Growth, Yield, and Nodulation in the Early Transition Period from Conventional Tillage to Conservation and No-Tillage Systems

Adamič

Leskovšek

2021

Agronomy

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Soybean (Glycine max (L.) Merr.) is the most important protein crop globally, with its cultivation area in Europe on the increase. To investigate how alternative tillage systems affect soybean growth, yield performance, and nitrogen fixation capacity in the early conversion period from conventional tillage to conservation and no-tillage practices, a field study was conducted in 2020 under the humid central European climatic conditions of Slovenia. A complete randomized block design with four repetitions was used for the three different tillage systems (conventional, conservation, and no-tillage). The results show that the majority of the studied soybean growth parameters (e.g., plant density, nodes per plant, and shoot and root dry matter) and the yield components (e.g., pods per plant, and 100-seed mass) were greatest for the reference conventional tillage system. The conventional system also showed significantly greater dry nodule mass (p < 0.01) and proportion of large-sized nodules (>4 mm) on both the tap root (p < 0.05) and the lateral roots (p < 0.001). A positive linear correlation between nitrogen content and nodule production in the roots also suggested increased nitrogen fixation for the conventional system. The less intensive conservation and no-tillage systems resulted in significantly greater soil compaction, which negatively affected early plant establishment and resulted in significantly decreased plant densities. Despite the large differences in plant stands and individual plant performances, no significant differences were seen for dry seed yields between these tillage systems. Dry seed yields for the conventional and conservation systems were 4.54 and 4.48 t ha−1, respectively, with only minor (non-significant) yield reduction for the no-tillage system, at 4.0 t ha−1. These data show that soybean cultivation in the early transition period to less intensive tillage systems have no major yield losses under these less suitable agro-climatic conditions if correct crop and weed management measures are implemented.

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Section: Nutritional Composition Of Soybean Seedsmentioning

confidence: 99%

“…The leading soybean producers are the United States (32%), followed by Brazil (28%), Argentina (21%), China (7%), and India (4%) [1,2]. The European domestic production of conventional soybean has also more than doubled in the last decade, although it represents only 7% of the total soybean demand in Europe [3,4].…”

Section: Introductionmentioning

confidence: 99%

Soybean (Glycine max (L.) Merr.) Growth, Yield, and Nodulation in the Early Transition Period from Conventional Tillage to Conservation and No-Tillage Systems

Adamič

Leskovšek

2021

Agronomy

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“…Emerging countries such as China show increasing life standards and thus an augmentation of meat consumption and protein imports. These imports participate in the development of international trade and increases in agricultural commodities' prices (Bertheau and Davison, 2011). However, until now, GMO producers have not released GMOs with improved organoleptic or nutritional improvements, nor industrial products such as pharmaceuticals which appear to be more acceptable to consumers.…”

Section: Gmo Developmentmentioning

confidence: 99%

“…Most approved GM crops worldwide are thus currently cultivated outside the EU, but might subsequently be imported and eventually further processed in the EU mostly for feeding purposes (Bertheau and Davison, 2011). Today, Bt-maize expressing the insecticidal protein Cry1A(b) from Bacillus thuringiensis, for fighting European and Mediterranean corn borers, is the GM crop most cultivated in the EU.…”

Section: Opinions and Attitudes Of European Citizens And Consumersmentioning

confidence: 99%

Introduction to the GM and Non‐GM Supply Chain Co‐Existence and Traceability

Bertheau

Davison

2012

Genetically Modified and Non‐Genetically Modified Food Supply Chains: Co‐Existence and Traceability

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“…Several socio-economic reasons are behind the need to increase soybean ( Glycine max L.) acreage in the European Union. These reasons include the need to reduce import dependency of soybean for feed from the American continent, or to satisfy the increasing demand for locally produced, non-genetically modified protein crops ( Bertheau and Davison, 2011 ). In addition, there are agronomic and environmental reasons that further trigger interests on leguminous crops in general, and soybean in particular.…”

Section: Introductionmentioning

confidence: 99%

Combining Experimental and Modeling Approaches to Understand Genotype x Sowing Date x Environment Interaction Effects on Emergence Rates and Grain Yield of Soybean

et al. 2020

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Soybean emergence and yield may be affected by many factors. A better understanding of the cultivar x sowing date x environment interactions could shed light into the competitiveness of soybean with other crops, notably, to help manage major biotic and abiotic factors that limit soybean production. We conducted a 2-year field experiments to measure emergence dynamics and final rates of three soybean cultivars from different maturity groups, with early and conventional sowing dates and across three locations. We also measured germination parameter values of the three soybean cultivars from different maturity groups under controlled experiments to parametrize the SIMPLE crop emergence model. This allowed us to assess the prediction quality of the model for emergence rates and to perform simulations. Final emergence rates under field conditions ranged from 62% to 92% and from 51% to 94% for early and conventional sowing, respectively. The model finely predicted emergence courses and final rates (root mean square error of prediction (RMSEP), efficiency (EF), and mean deviation (MD) ranging between 2% to 18%, 0.46% to 0.99%, and −10% to 15%, respectively) across a wide range of the sowing conditions tested. Differences in the final emergence rates were found, not only among cultivars but also among locations for the same cultivar, although no clear trend or consistent ranking was found in this regard. Modeling suggests that seedling mortality rates were dependent on the soil type with up to 35% and 14% of mortality in the silty loam soil, due to a soil surface crust and soil aggregates, respectively. Non-germination was the least important cause of seedling mortality in all soil types (up to 3% of emergence losses), while no seedling mortality due to drought was observed. The average grain yield ranged from 3.1 to 4.0 t ha −1 , and it was significantly affected by the irrigation regime ( p < 0.001) and year ( p < 0.001) but not by locations, sowing date or cultivars. We conclude that early sowing is unlikely to affect soybean emergence in South-West of France and therefore may represent an important agronomic lever to escape summer drought that markedly limit soybean yield in this region.

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Soybean in the European Union, Status and Perspective

Cited by 10 publications

References 112 publications

Soybean (Glycine max (L.) Merr.) Growth, Yield, and Nodulation in the Early Transition Period from Conventional Tillage to Conservation and No-Tillage Systems

Soybean (Glycine max (L.) Merr.) Growth, Yield, and Nodulation in the Early Transition Period from Conventional Tillage to Conservation and No-Tillage Systems

Introduction to the GM and Non‐GM Supply Chain Co‐Existence and Traceability

Combining Experimental and Modeling Approaches to Understand Genotype x Sowing Date x Environment Interaction Effects on Emergence Rates and Grain Yield of Soybean

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