2021
DOI: 10.3390/agriculture11090846
|View full text |Cite
|
Sign up to set email alerts
|

Mineralization of Farm Manures and Slurries for Successive Release of Carbon and Nitrogen in Incubated Soils Varying in Moisture Status under Controlled Laboratory Conditions

Abstract: Having up-to-date knowledge on the mineralization of organic materials and release of nutrients is of paramount significance to ensure crops’ nutrient demands, increase nutrient use efficiency and ensure the right fertilizer application at the right time. This study seeks to evaluate the mineralization patterns of various manures viz. cowdung (CD), cowdung slurry (CDSL), trichocompost (TC), vermicompost (VC), poultry manure (PM), poultry manure slurry (PMSL), and mungbean residues (MR). The objective being to … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
8
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 16 publications
(9 citation statements)
references
References 38 publications
1
8
0
Order By: Relevance
“…The CO 2 ‐C release rates for all amendments were greatest during the first 30 days of the experiment and decreased over time ( p ≤ 0.05; Figure 3; Table S6). Previous studies documented an exponential decrease in C respiration for different types of organic amendments over time (Bechini & Marino, 2009; Cavalli et al., 2017; Dodor et al., 2018; Helgason et al., 2004; Islam et al., 2021; Morvan & Nicolardot, 2009). This is related to the decomposition of more labile organic components that are easily oxidizable by microbes in early stages.…”
Section: Resultsmentioning
confidence: 93%
See 3 more Smart Citations
“…The CO 2 ‐C release rates for all amendments were greatest during the first 30 days of the experiment and decreased over time ( p ≤ 0.05; Figure 3; Table S6). Previous studies documented an exponential decrease in C respiration for different types of organic amendments over time (Bechini & Marino, 2009; Cavalli et al., 2017; Dodor et al., 2018; Helgason et al., 2004; Islam et al., 2021; Morvan & Nicolardot, 2009). This is related to the decomposition of more labile organic components that are easily oxidizable by microbes in early stages.…”
Section: Resultsmentioning
confidence: 93%
“…To predict the time required for varying degrees of decomposition, rate constants ( k ) were calculated using a first‐order decay model as follows:0.28emCtbadbreak=C00.28em(expkt)$$\begin{equation*}{{\;}}{C_t} = {C_0}\;({{ex}}{{{p}}^{ - kt}})\end{equation*}$$where C t is the C content in the amendment at time t , C 0 is the initial C content in the amendment, k is the first‐order rate constant, and t is time (days). First order decay models are valued due to their simplicity in interpretation and have been used to predict decomposition rates for multiple organic materials including animal manures (Islam et al., 2021; Murwira et al., 1990; Saviozzi et al., 1993) and wood products (Johnson et al., 2014). Once rate constants ( k ) were generated for each treatment, the time required for 50%, 75%, 90%, and 99% C mineralization of the amendment was estimated based on the following equations (Al‐Kaisi et al., 2017): 0.28emt0.50badbreak=ln20.28em(k1),$$\begin{equation*}{\mathrm{\;}}{t_{\left( {0.50} \right)}} = \ln 2\;({k^{ - 1}}\;),\end{equation*}$$0.28emt0.75badbreak=ln40.28em(k1),$$\begin{equation*}{\mathrm{\;}}{t_{\left( {0.75} \right)}} = \ln 4\;({k^{ - 1}}\;),\end{equation*}$$0.28emt0.90badbreak=ln100.28em(k1),$$\begin{equation*}{\mathrm{\;}}{t_{\left( {0.90} \right)}} = \ln 10\;({k^{ - 1}}\;),\end{equation*}$$0.28em...…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…Using the measured SOC, MBC, POC, and POX C data, the CMI was calculated (Islam et al, 2021d;Begum et al, 2021;Franzluebbers, (2002)) as follows:…”
Section: Soil Carbon Lability and Management Indicesmentioning
confidence: 99%