| 000 | 02146nab a22002897a 4500 | ||
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| 999 |
_c58647 _d58639 |
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| 001 | 58647 | ||
| 003 | MX-TxCIM | ||
| 005 | 20191211165914.0 | ||
| 008 | 150722s2017 uk |||p|op||| 00| 0 eng d | ||
| 024 | 8 | _ahttps://doi.org/10.1080/17583004.2017.1309204 | |
| 040 | _aMX-TxCIM | ||
| 100 | 1 |
_94827 _aAbbruzzini, T.F. |
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| 245 | 1 | 0 | _aSoil carbon and nitrogen stocks in sugarcane systems by Bayesian conditional autoregressive model – an unbiased prediction strategy |
| 260 |
_aUnited Kingdom : _bTaylor and Francis _c2017. |
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| 500 | _aPeer review | ||
| 520 | _aSpatially dependent data are predominant in soil science and prone to biased inferences from standard statistical analysis. Thus, the aims of this study were: to model the spatial dependency among soil sampling points using a Bayesian conditional autoregressive (CAR) prior; and to determine the effects of different sugarcane management systems on soil C and N stocks. Four sugarcane sites were evaluated: conventional burned (BSC); unburned (USC); and organic sugarcane for 4 years (O04) and 12 years (O12). A native vegetation forest (NVF) site was used as a reference. The CAR model prediction agreed with the observed results of both soil C and N stocks. The highest predicted soil C and N stocks at 0-30 cm depth were observed for O12 (57.3 and 4.8 Mg ha-1), and the lowest were for BSC (37.6 and 3.0 Mg ha-1). The Bayesian CAR model captured the spatial dependence among soil sampling points and allowed to compare soil C and N stocks of different sugarcane managements. Thus, Bayesian spatial modeling is a novel approach to evaluate soil management practices when performing ad hoc monitoring of soil carbon within contiguous areal units. | ||
| 546 | _aText in English | ||
| 650 | 7 |
_94013 _aBayesian theory _2AGROVOC |
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| 650 | 7 |
_94828 _aSoil _2AGROVOC |
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| 650 | 7 |
_92601 _aCarbon _2AGROVOC |
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| 700 | 1 |
_94829 _aBraga Brandani, C. |
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| 700 | 1 |
_91999 _aToledo, F.H. _8I1706676 _gGenetic Resources Program |
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| 700 | 1 |
_94830 _aPellegrino Cerri, C.E. |
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| 773 | 0 |
_tCarbon Management _gv. 8, no. 2, p. 207-214 |
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| 856 | 4 |
_yAccess only for CIMMYT Staff _uhttp://libcatalog.cimmyt.org/Download/cis/58647.pdf |
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| 942 |
_2ddc _cJA _n0 |
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