MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03531nab|a22003497a|4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
64115 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
MX-TxCIM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20230203154319.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
202110s2021||||ne |||p|op||||00||0|eng|d |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
|---|
| International Standard Serial Number |
1161-0301 |
| 024 8# - OTHER STANDARD IDENTIFIER |
|---|
| Standard number or code |
https://doi.org/10.1016/j.eja.2021.126370 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
MX-TxCIM |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
eng |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Huan Liu |
| 9 (RLIN) |
13647 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Contrasting contributions of five factors to wheat yield growth in China by process-based and statistical models |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc. |
Netherlands : |
| Name of publisher, distributor, etc. |
Elsevier, |
| Date of publication, distribution, etc. |
2021. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Peer review |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
China's wheat growth from 1981 to 2015 was faster than most countries, characterized by notable linear growth and more than 100 % rise in yield. Understanding the reasons for such fast growth is essential for stakeholders in developing countries to gain insight and be able to establish efficient yield-increasing strategies for the future. Here, using a statistical function and a process-based crop model, we dissected, quantified and compared the contributions of five causal factors to China's national wheat yield growth. For past yield growth from 1981 to 2015, the Environmental Policy Integrated Climate (EPIC) model estimated that five drivers have contributed to national wheat yield growth by 57.4 % (fertilizer), 37.9 % (cultivar), 7.9 % (irrigation), -1.0 % (area), and -2.2 % (climate), while the Cobb-Douglas (C–D) production function estimated contributions of 79.8 %, 16.1 %, 8.0 %, -2.6 %, and -1.2 %, respectively. Furthermore, we conducted a temporal two-paired comparison of the yield contributions estimated by the two methods and explored the reasons for such difference. Results indicated that the distinct nature of the two methods and inconsistency of the input data resulted in the divergent estimations in amount and temporal scale. The way to decrease the uncertainty of each factor's contribution in each of the methods was to maintain consistency in input data, clearly understand the methods’ assumptions, and include as many interactions as possible. In addition, utilization of an ensemble of multiple models was able to achieve a more robust assessment, especially with the inclusion of both statistical and process-based models. This study has for the first time systematically compared the applicability of the two methods in evaluating the contribution of the five drivers to yield, and provided instructions for improvements. Future researchers should pay attention to developing a consistent manner of integrating multiple approaches, which have the potential partly to offset the weakness of individual methods and thus lead to better estimations. |
| 546 ## - LANGUAGE NOTE |
|---|
| Language note |
Text in English |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Wheat |
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
1310 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Production |
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
3522 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Modelling |
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
11710 |
| 651 #7 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
|---|
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
3990 |
| Geographic name |
China |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Field link and sequence number |
001710466 |
| Personal name |
Wei Xiong |
| Miscellaneous information |
Sustainable Intensification Program |
| -- |
Sustainable Agrifood Systems |
| 9 (RLIN) |
7946 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Mottaleb, K.A. |
| Miscellaneous information |
Formerly Socioeconomics Program |
| -- |
Formerly Sustainable Agrifood Systems |
| Field link and sequence number |
I1706152 |
| 9 (RLIN) |
810 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Krupnik, T.J. |
| Miscellaneous information |
Sustainable Intensification Program |
| -- |
Sustainable Agrifood Systems |
| Field link and sequence number |
INT3222 |
| 9 (RLIN) |
906 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Burgueño, J. |
| Field link and sequence number |
INT3239 |
| 9 (RLIN) |
907 |
| Miscellaneous information |
Genetic Resources Program |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Field link and sequence number |
001710201 |
| Personal name |
Pequeno, D.N.L. |
| Miscellaneous information |
Socioeconomics Program |
| -- |
Sustainable Agrifood Systems |
| 9 (RLIN) |
6381 |
| 700 0# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Wenbin Wu |
| 9 (RLIN) |
12337 |
| 773 0# - HOST ITEM ENTRY |
|---|
| Title |
European Journal of Agronomy |
| Related parts |
v. 130, art. 126370 |
| Place, publisher, and date of publication |
Netherlands : Elsevier, 2021. |
| International Standard Serial Number |
1161-0301 |
| Record control number |
G446870 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Article |
| Suppress in OPAC |
No |
| Source of classification or shelving scheme |
Dewey Decimal Classification |