MARC details
000 -LEADER |
fixed length control field |
02146nab a22002897a 4500 |
001 - CONTROL NUMBER |
control field |
58647 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
MX-TxCIM |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20191211165914.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
150722s2017 uk |||p|op||| 00| 0 eng d |
024 8# - OTHER STANDARD IDENTIFIER |
Standard number or code |
https://doi.org/10.1080/17583004.2017.1309204 |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
MX-TxCIM |
100 1# - MAIN ENTRY--PERSONAL NAME |
9 (RLIN) |
4827 |
Personal name |
Abbruzzini, T.F. |
245 10 - TITLE STATEMENT |
Title |
Soil carbon and nitrogen stocks in sugarcane systems by Bayesian conditional autoregressive model – an unbiased prediction strategy |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc. |
United Kingdom : |
Name of publisher, distributor, etc. |
Taylor and Francis |
Date of publication, distribution, etc. |
2017. |
500 ## - GENERAL NOTE |
General note |
Peer review |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Spatially 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 ## - LANGUAGE NOTE |
Language note |
Text in English |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
9 (RLIN) |
4013 |
Topical term or geographic name as entry element |
Bayesian theory |
Source of heading or term |
AGROVOC |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
9 (RLIN) |
4828 |
Topical term or geographic name as entry element |
Soil |
Source of heading or term |
AGROVOC |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
9 (RLIN) |
2601 |
Topical term or geographic name as entry element |
Carbon |
Source of heading or term |
AGROVOC |
700 1# - ADDED ENTRY--PERSONAL NAME |
9 (RLIN) |
4829 |
Personal name |
Braga Brandani, C. |
700 1# - ADDED ENTRY--PERSONAL NAME |
9 (RLIN) |
1999 |
Personal name |
Toledo, F.H. |
Field link and sequence number |
I1706676 |
Miscellaneous information |
Genetic Resources Program |
700 1# - ADDED ENTRY--PERSONAL NAME |
9 (RLIN) |
4830 |
Personal name |
Pellegrino Cerri, C.E. |
773 0# - HOST ITEM ENTRY |
Title |
Carbon Management |
Related parts |
v. 8, no. 2, p. 207-214 |
856 4# - ELECTRONIC LOCATION AND ACCESS |
Link text |
Access only for CIMMYT Staff |
Uniform Resource Identifier |
http://libcatalog.cimmyt.org/Download/cis/58647.pdf |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Article |
Suppress in OPAC |
No |