What crop type for atmospheric carbon sequestration: Results from a global data analysis

Mathew, Isack; Shimelis, Hussein; Mutema, Macdex; Chaplot, Vincent

doi:10.1016/j.agee.2017.04.008

Cited by 65 publications

(44 citation statements)

References 71 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Australia (Aziz et al, 2017) and other countries around the world (Waines and Ehdaie, 2007). The root:shoot ratio of the wheat cultivars in our study (0.10 ± 0.2 -0.19 ± 0.08, Table 1) were at the low end of reported values for wheat plants globally (Mathew et al, 2017), but in line with reported values for wheat cultivars of the Swiss wheat breeding program, including the cultivars used in our study (0.14, as measured by Friedli et al (2019)).…”

Section: Plant Carbon Dynamics and Co2 Productionmentioning

confidence: 52%

“…No consistent differences in total aboveground biomass between old and new wheat cultivars were observed, although the aboveground biomass of Zinal (710 ± 114 g m -2 ) was substantially lower compared to the other wheat cultivars (on average 1112 ± 116 g m -2 ). The observed aboveground biomass values were at the high end of reported values for wheat plants in the field (Mathew et al, 2017), while the lack of consistent differences in the biomass of wheat cultivars released over a time span of multiple decades has generally been observed (Brancourt-Hulmel et al, 2003;Feil, 1992;Lupton et al, 1974;Wacker et al, 2002).…”

Section: Plant Carbon Dynamics and Co2 Productionmentioning

confidence: 72%

“…Although the root:shoot ratio of most common crops is well-known (e.g. Bolinder et al (2007), Mathew et al (2017)), it has recently been shown that calculating root biomass based on aboveground plant biomass generally leads to erroneous results (Hirte et al, 2018;Hu et al, 2018;Taghizadeh-Toosi et al, 2016). Secondly, although the partitioning of belowground carbon inputs into root biomass, root respiration and rhizodeposition is relatively constant among different species (if the same growth period is considered (Kuzyakov and Domanski, 2000)), this knowledge is based on a limited number of available studies (e.g.…”

Section: Carbon Allocation By Wheat Plantsmentioning

confidence: 99%

See 2 more Smart Citations

The soil organic carbon stabilization potential of old and new wheat cultivars: a 13CO2 labelling study

Broek¹,

Ghiasi²,

Decock³

et al. 2020

Preprint

View full text Add to dashboard Cite

Abstract. Over the past decades, average global wheat yields have increased by about 250 %, mainly due to the cultivation of high-yielding wheat cultivars. This selection process not only affected aboveground parts of plants, but in some cases also reduced the root biomass, with potentially large consequences for the amount of organic carbon (OC) transferred to the soil. To study the effect of wheat breeding for high-yielding cultivars on subsoil OC dynamics, two old and two new wheat cultivars from the Swiss wheat breeding program were grown for one growing season in 1.5 m-deep lysimeters and pulse-labelled with 13CO2, to quantify the amount of assimilated carbon that was transferred belowground and potentially stabilized in the soil. The results show that although the old wheat cultivars with higher root biomass transferred more assimilated carbon belowground compared to more recent cultivars, no significant differences in net soil organic carbon (SOC) stabilization were found between the different cultivars. As a consequence, the long-term effect of wheat cultivar selection on SOC stocks will depend on the amount of root biomass that is stabilized in the soil. Our results suggest that the process of wheat selection for high-yielding cultivars resulted in lower amounts of belowground carbon translocation, with potentially important effects on SOC stocks. Further research is necessary to quantify the long-term importance of this effect.

show abstract

Section: Plant Carbon Dynamics and Co2 Productionmentioning

confidence: 52%

Section: Plant Carbon Dynamics and Co2 Productionmentioning

confidence: 72%

Section: Carbon Allocation By Wheat Plantsmentioning

confidence: 99%

See 1 more Smart Citation

The soil organic carbon stabilization potential of old and new wheat cultivars: a 13CO2 labelling study

Broek¹,

Ghiasi²,

Decock³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…At moderate depth, where organic carbon is added to the soil largely from root activity, especially fine or lateral root activity, exudates or rhizodeposition [17,18,[63][64][65][66]. It also includes a minor component of translocation of surface organic materials as soluble carbon or particulate organic carbon.…”

Section: Phase B-subsurface Upper Subsoilmentioning

confidence: 99%

“…Microbial activity, especially fungal growth can also add organic carbon to this layer. Cereals and grasses are especially effective in adding soil organic matter with these processes because of their fibrous root systems that have a large volume of fine roots [17,66]. Turnover of organic matter in this zone can be expected to be in the order of 10 s of years [67].…”

Section: Phase B-subsurface Upper Subsoilmentioning

confidence: 99%

Mathematical Functions to Model the Depth Distribution of Soil Organic Carbon in a Range of Soils from New South Wales, Australia under Different Land Uses

2019

View full text Add to dashboard Cite

The nature of depth distribution of soil organic carbon (SOC) was examined in 85 soils across New South Wales with the working hypothesis that the depth distribution of SOC is controlled by processes that vary with depth in the profile. Mathematical functions were fitted to 85 profiles of SOC with SOC values at depth intervals typically of 0–5, 5–10, 10–20, 20–30, 30–40, 40–50, 50–60, 60–70, 70–80, 80–90 and 90–100 cm. The functions fitted included exponential functions of the form SOC = A exp (Bz); SOC = A + B exp (Cz) as well as two phase exponential functions of the form SOC = A + B exp (Cz) + D exp (Ez). Other functions fitted included functions where the depth was a power exponent or an inverse term in a function. The universally best-fitting function was the exponential function SOC = A + B exp (Cz). When fitted, the most successful function was the two-phase exponential, but in several cases this function could not be fitted because of the large number of terms in the function. Semi-log plots of log values of the SOC against soil depth were also fitted to detect changes in the mathematical relationships between SOC and soil depth. These were hypothesized to represent changes in dominant soil processes at various depths. The success of the exponential function with an added constant, the two-phase exponential functions, and the demonstration of different phases within the semi-log plots confirmed our hypothesis that different processes were operating at different depths to control the depth distributions of SOC, there being a surface component, and deeper soil component. Several SOC profiles demonstrated specific features that are potentially important for the management of SOC profiles in soils. Woodland and to lesser extent pasture soils had a definite near surface zone within the SOC profile, indicating the addition of surface materials and high rates of fine root turnover. This zone was much less evident under cropping.

show abstract

Biomass allocation and carbon storage in the major cereal crops: A meta‐analysis

Ngidi,

Shimelis,

Chaplot

et al. 2024

Crop Science

Self Cite

View full text Add to dashboard Cite

Crop biomass is the reservoir of carbon (C), a valuable input to the soil, thus supporting the soil fauna and enhancing soil health. There are limited studies that compared the major cereal crops for C storage for regenerative agriculture and to optimize C sequestration strategies. The objective of this study was to quantify the extent of variation in biomass allocation and C storage between maize (Zea mays L.), sorghum (Sorghum bicolor [L.] Moench), and wheat (Triticum aestivum L.) for crop production, and C sequestration potential. The study used metadata from 40 global studies that reported on the allocation of plant biomass and C between roots and shoots of the major cereal crops. Key statistics were computed to determine the variability between genotypes for total plant biomass (Pb), shoot biomass (Sb), root biomass (Rb), root‐to‐shoot biomass ratio (Rb/Sb), total plant carbon content, shoot carbon content, root carbon content, total plant carbon stock (PCs), shoot carbon stock, root carbon stock, and root‐to‐shoot carbon stock ratio (RCs/SCs). Maize exhibited the highest variability for Pb (with a coefficient of variation [CV] of 31.2% and a mean of 4.2 ± 1.3 Mg ha−1 year−1), followed by wheat (CV of 24.2% and a mean of 1.5 ± 0.4 Mg ha−1 year−1) and sorghum (CV of 16.8% and a mean of 2.0 ± 0.8 Mg ha−1 year−1), respectively. A similar trend was observed for PCs, with maize (CV of 40.1% and mean of 1.6 ± 0.7 Mg ha−1 year−1) showing the highest total plant C stock variability, followed by wheat (24.4% and 0.2 ± 0.1 Mg ha−1 year−1) and sorghum (16.3% and 0.9 ± 0.3 Mg ha−1 year−1), respectively. Maize (with a CV of 24.4% and mean of 0.1 ± 0.03 Mg ha−1 year−1) exhibited the highest variability for Rb/Sb, while wheat (30.92% and 0.2 ± 0.05 Mg ha−1 year−1) exhibited the highest variability for RCs/SCs. Correlation analysis revealed the following significant associations: Pb and mean annual temperature (MAT) (r = −0.47), and Sb and MAT (r = −0.43), and Pb and mean annual precipitation (MAP) (r = −0.34), and Sb and MAP (r = −0.30). Rb had a strong, significant positive correlation with MAT (r = 0.72) and MAP (r = 0.85). The meta‐analysis revealed that maize and sorghum have the highest variability for Pb and plant carbon stocks, while wheat exhibited the highest variability for the below‐ground biomass and carbon stocks. The data aided in crop selection and suggested that the best cultivars could be developed and identified for production and C sequestration potential for cultivation by farmers, land rehabilitation, and climate change mitigation.

show abstract

What crop type for atmospheric carbon sequestration: Results from a global data analysis

Cited by 65 publications

References 71 publications

The soil organic carbon stabilization potential of old and new wheat cultivars: a <sup>13</sup>CO<sub>2</sub> labelling study

The soil organic carbon stabilization potential of old and new wheat cultivars: a <sup>13</sup>CO<sub>2</sub> labelling study

Mathematical Functions to Model the Depth Distribution of Soil Organic Carbon in a Range of Soils from New South Wales, Australia under Different Land Uses

Biomass allocation and carbon storage in the major cereal crops: A meta‐analysis

Contact Info

Product

Resources

About

What crop type for atmospheric carbon sequestration: Results from a global data analysis

Cited by 65 publications

References 71 publications

The soil organic carbon stabilization potential of old and new wheat cultivars: a &lt;sup&gt;13&lt;/sup&gt;CO&lt;sub&gt;2&lt;/sub&gt; labelling study

The soil organic carbon stabilization potential of old and new wheat cultivars: a &lt;sup&gt;13&lt;/sup&gt;CO&lt;sub&gt;2&lt;/sub&gt; labelling study

Mathematical Functions to Model the Depth Distribution of Soil Organic Carbon in a Range of Soils from New South Wales, Australia under Different Land Uses

Biomass allocation and carbon storage in the major cereal crops: A meta‐analysis

Contact Info

Product

Resources

About

The soil organic carbon stabilization potential of old and new wheat cultivars: a <sup>13</sup>CO<sub>2</sub> labelling study

The soil organic carbon stabilization potential of old and new wheat cultivars: a <sup>13</sup>CO<sub>2</sub> labelling study