Root distribution by depth for temperate agricultural crops
•A general root distribution with depth that includes a maximum crop rooting depth was not available previously. This contribution will improve characterization of roots for agroecosystem studies.•Root distribution pattern was fitted to a versatile equation for 11 temperate crops.•Roots were thicker...
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Veröffentlicht in: | Field crops research 2016-03, Vol.189, p.68-74 |
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Sprache: | eng |
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Zusammenfassung: | •A general root distribution with depth that includes a maximum crop rooting depth was not available previously. This contribution will improve characterization of roots for agroecosystem studies.•Root distribution pattern was fitted to a versatile equation for 11 temperate crops.•Roots were thicker at upper layers with the effect was greater for dicotyledons than monocotyledons.•At least 50% of roots could be found in the upper 20cm of soil for all crops.
Root distribution pattern plays an important role in understanding and estimating of soil C allocation and the effect of crop roots C input on soil carbon balance in agroecosystems. A database of 96 profiles was compiled and root distribution pattern were fitted to a modified logistic dose response curve for 11 temperate crops. A slight linear decrease between the root mass: length distribution ratio and the soil depth was found for monocotyledons while an exponential decrease with depth was found for dicotyledons. These results indicated that roots were thicker at upper soil layers with the effect much larger for dicotyledons. The estimated depth at which 50% of total root was accumulated for different crops varied from 8cm to 20cm. Alfalfa (Medicago sativa L.) showed the deepest rooting profile with a fitted maximum rooting depth (dmax) of 177cm but another perennial, fescue (Festuca arundinacea Shreb.), had the shallowest dmax of 78cm. In general, cereal and pulse crop roots were distributed more evenly in soil profile while more roots were accumulated in the upper soil layers for oilseed crops. The estimated root distribution patterns from the present study could be incorporated into agroecosystem models for good representations of belowground processes and enhance the accuracy of carbon and water cycling estimation in agroecosystem. |
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ISSN: | 0378-4290 1872-6852 |
DOI: | 10.1016/j.fcr.2016.02.013 |