Root to shoot and carbon to nitrogen ratios of maize and soybean crops in the US Midwest
•Root attributes such as mass, length, and N concentration are highly variable across environments.•Maize and soybean root to shoot (R:S) ratios averaged 0.09 ± 0.02 and 0.17 ± 0.05, respectively.•Maximum shoot biomass explained 70 % of variation in root biomass.•Variation in R:S was explained by we...
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Veröffentlicht in: | European journal of agronomy 2020-10, Vol.120, p.126130, Article 126130 |
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Zusammenfassung: | •Root attributes such as mass, length, and N concentration are highly variable across environments.•Maize and soybean root to shoot (R:S) ratios averaged 0.09 ± 0.02 and 0.17 ± 0.05, respectively.•Maximum shoot biomass explained 70 % of variation in root biomass.•Variation in R:S was explained by weather (r2 < 0.41), shoot traits (r2 < 0.50) and root traits (r2 < 0.73).
Root traits are important to crop functioning, yet there is little information about how root traits vary with shoot traits. Using a standardized protocol, we collected 160 soil cores (0−210 cm) across 10 locations, three years and multiple cropping systems (crops x management practices) in Iowa, USA. Maximum root biomass ranged from 1.2 to 2.8 Mg ha−1 in maize and 0.86 to 1.93 Mg ha−1 in soybean. The root:shoot (R:S) ratio ranged from 0.04 to 0.13 in maize and 0.09 to 0.26 in soybean. Maize produced 27 % more root biomass, 20 % longer roots, with 35 % higher carbon to nitrogen (C:N) ratio than soybean. In contrast, soybean had a 47 % greater R:S ratio than maize. The maize R:S ratio values were substantially lower than literature values, possibly due to differences in measurement methodologies, genotypes, and environment. In particular, we sampled at plant maturity rather than crop harvest to minimize the effect of senescence on measurements of shoots and roots. Maximum shoot biomass explained 70 % of the variation in root biomass, and the R:S ratio was positively correlated with the root C:N measured in both crops. Easily-measured environmental variables including temperature and precipitation were weakly associated with root traits. These results begin to fill an important knowledge gap that will enable better estimates of belowground net primary productivity and soil organic matter dynamics. Ultimately, the ability to explain variation in root mass production can be used to improve C and N budgets and modeling studies from crop to regional scales. |
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ISSN: | 1161-0301 1873-7331 |
DOI: | 10.1016/j.eja.2020.126130 |