Abstract

Background and aims

Soil carbon sequestration can play an important role in mitigating climate change. Higher organic C inputs to agricultural soils are needed in order to increase soil organic carbon (SOC) stocks. Genotype selection and breeding towards increased root biomass may enhance root C inputs to the soil and could therefore be a promising, easy-to-implement management option for potentially increasing C sequestration. However, an increase in root C inputs may compromise yield, which is not desirable in terms of food security.

Methods

Data from 13 global studies with field experiments were compiled in order to estimate the potential of optimised genotype selection for enhancing root biomass without compromising the yield of winter wheat, spring wheat, silage maize, winter rapeseed and sunflower. A lack of data on the effect of variety on rhizodeposition was identified which thus had to be excluded.

Results

Systematic genotype selection increased mean yields by 52% and mean root biomass by 22% across all crops and sites. A median root C increase of 6.7% for spring wheat, 6.8% for winter rapeseed, 12.2% for silage maize, 21.6% for winter wheat and 26.4% for sunflower would be possible without a yield reduction.

Conclusion

Overall, this review demonstrates that optimised genotype selection can be a win-win option for increasing root biomass C input to soil while maintaining or even enhancing yield.

Details

Title
Increasing root biomass derived carbon input to agricultural soils by genotype selection – a review
Author
Heinemann, Henrike 1 ; Hirte, Juliane 2 ; Seidel, Felix 1 ; Don, Axel 1   VIAFID ORCID Logo 

 Thünen Institute of Climate-Smart Agriculture, Braunschweig, Germany (GRID:grid.11081.39) (ISNI:0000 0004 0550 8217) 
 Agroscope, Zürich, Switzerland (GRID:grid.417771.3) (ISNI:0000 0004 4681 910X) 
Pages
19-30
Publication year
2023
Publication date
Sep 2023
Publisher
Springer Nature B.V.
ISSN
0032-079X
e-ISSN
1573-5036
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2869387191
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.