Prediction of aboveground biomass and dry‐matter content in brachiaria pastures by combining meteorological data and satellite imagery (Record no. 63521)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 00595nab|a22002177a|4500 |
| 001 - CONTROL NUMBER | |
| control field | 63521 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | MX-TxCIM |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20210326201926.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210113s2021||||xxk|||p|op||||00||0|eng|d |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER | |
| International Standard Serial Number | 1365-2494 (Online) |
| 024 8# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | https://doi.org/10.1111/gfs.12517 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | MX-TxCIM |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Bretas, I.L. |
| 9 (RLIN) | 19236 |
| 245 10 - TITLE STATEMENT | |
| Title | Prediction of aboveground biomass and dry‐matter content in brachiaria pastures by combining meteorological data and satellite imagery |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | United Kingdom : |
| Name of publisher, distributor, etc. | Wiley, |
| Date of publication, distribution, etc. | 2021. |
| 500 ## - GENERAL NOTE | |
| General note | Peer review |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Aboveground biomass (AGB) data are important for profitable and sustainable pasture management. In this study, we hypothesized that vegetation indexes (VIs) obtained through analysis of moderate spatial resolution satellite data (Landsat‐8 and Sentinel‐2) and meteorological data can accurately predict the AGB of Brachiaria (syn. Urochloa) pastures in Brazil. We used AGB field data obtained from pastures between 2015 and 2019 in four distinct regions of Brazil to evaluate (i) the relationship between three different VIs—normalized difference vegetation index (NDVI), enhanced vegetation index 2 (EVI2) and optimized soil adjusted vegetation index (OSAVI)—and meteorological data with pasture aboveground fresh biomass (AFB), aboveground dry biomass (ADB) and dry‐matter content (DMC); and (ii) the performance of simple linear regression (SLR), multiple linear regression (MLR) and random forest (RF) algorithms for the prediction of pasture AGB based on VIs obtained through satellite imagery combined with meteorological data. The results highlight a strong correlation (r) between VIs and AGB, particularly NDVI (r = 0.52 to 0.84). The MLR and RF algorithms demonstrated high potential to predict AFB (R2 = 0.76 to 0.85) and DMC (R2 = 0.78 to 0.85). We conclude that both MLR and RF algorithms improved the biomass prediction accuracy using satellite imagery combined with meteorological data to determine AFB and DMC, and can be used for Brachiaria (syn. Urochloa) AGB prediction. Additional research on tropical grasses is needed to evaluate different VIs to improve the accuracy of ADB prediction, thereby supporting pasture management in Brazil. |
| 546 ## - LANGUAGE NOTE | |
| Language note | Text in English |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Biomass |
| Source of heading or term | AGROVOC |
| 9 (RLIN) | 1897 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning |
| Source of heading or term | AGROVOC |
| 9 (RLIN) | 11127 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Remote sensing |
| Source of heading or term | AGROVOC |
| 9 (RLIN) | 1986 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Satellites |
| Source of heading or term | AGROVOC |
| 9 (RLIN) | 3815 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Grasslands |
| Source of heading or term | AGROVOC |
| 9 (RLIN) | 10923 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Vegetation index |
| Source of heading or term | AGROVOC |
| 9 (RLIN) | 5833 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 19237 |
| Personal name | Valente, D.S.M. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 19238 |
| Personal name | Silva, F.F. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 19239 |
| Personal name | Chizzotti, M.L. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 19240 |
| Personal name | Paulino, M.F. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 19241 |
| Personal name | D’Áurea, A.P. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 19242 |
| Personal name | Paciullo, D.S.C. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 19243 |
| Personal name | Pedreira, B.C. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 19244 |
| Personal name | Chizzotti, F.H.M. |
| 773 0# - HOST ITEM ENTRY | |
| Related parts | In press |
| Place, publisher, and date of publication | United Kingdom : Wiley, 2021. |
| Title | Grass and Forage Science |
| International Standard Serial Number | 1365-2494 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Article |
| Suppress in OPAC | No |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Date last seen | Total Checkouts | Price effective from | Koha item type | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Withdrawn status | Home library | Current library | Date acquired |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 03/16/2021 | 03/16/2021 | Article | Not Lost | Dewey Decimal Classification | Reprints Collection | CIMMYT Knowledge Center: John Woolston Library | CIMMYT Knowledge Center: John Woolston Library | 03/16/2021 |