Dryland maize yield potentials and constraints: A case study in western Kansas
Abstract Water‐limited environments account for half of the earth's land surface, and dryland agriculture acreage is projected to expand due to climate changes. Examining typical dryland yield potentials and yield improvement measures is crucial for developing future dryland crop production sys...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-02-01
|
| Series: | Food and Energy Security |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/fes3.328 |
| _version_ | 1824044210629640192 |
|---|---|
| author | Shuang Sun Xiaomao Lin Gretchen F. Sassenrath Ignacio Ciampitti Prasanna Gowda Qing Ye Xiaoguang Yang |
| author_facet | Shuang Sun Xiaomao Lin Gretchen F. Sassenrath Ignacio Ciampitti Prasanna Gowda Qing Ye Xiaoguang Yang |
| author_sort | Shuang Sun |
| collection | DOAJ |
| description | Abstract Water‐limited environments account for half of the earth's land surface, and dryland agriculture acreage is projected to expand due to climate changes. Examining typical dryland yield potentials and yield improvement measures is crucial for developing future dryland crop production systems. This case study used crop modeling to analyze dryland maize yield potential (YPd), farmers’ yield potential (YPf), and actual farm yields (Ya) from 1990 to 2015 in three counties in western Kansas (i.e., Thomas, Greeley, and Finney in the U.S. Great Plains region). The calibrated APSIM‐Maize model along with actual yields was used to estimate yield gaps attributed to: (a) agronomic factors (YG1 = YPd − YPf) and (b) socioeconomic constraints (YG2 = YPf − Ya). Observed climate conditions during maize‐growing seasons showed warming, brightening, and drying trends for all three counties in western Kansas from 1990 to 2015. Our results showed that the current actual farm yields (Ya) in western Kansas represented only 34%, 32%, and 28% of YPd in Thomas, Greeley, and Finney counties, respectively, indicating significant exploitable yield gaps. Agronomic factors (YG1) contributed the greatest to the yield gap in Greeley and Finney counties, whereas socioeconomic constraints (YG2) offered the greatest opportunity for improvement in Thomas county. Our analysis suggested that improving agronomic management could be a greater priority for further yield improvement in Greeley county, but selecting an appropriate hybrid was a greater priority in Finney county. |
| first_indexed | 2024-12-23T00:07:36Z |
| format | Article |
| id | doaj.art-0e203bb46fdc4712922505f2326a4049 |
| institution | Directory Open Access Journal |
| issn | 2048-3694 |
| language | English |
| last_indexed | 2024-12-23T00:07:36Z |
| publishDate | 2022-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | Food and Energy Security |
| spelling | doaj.art-0e203bb46fdc4712922505f2326a40492022-12-21T18:07:37ZengWileyFood and Energy Security2048-36942022-02-01111n/an/a10.1002/fes3.328Dryland maize yield potentials and constraints: A case study in western KansasShuang Sun0Xiaomao Lin1Gretchen F. Sassenrath2Ignacio Ciampitti3Prasanna Gowda4Qing Ye5Xiaoguang Yang6State Key Laboratory of Severe Weather Chinese Academy of Meteorological Sciences Beijing ChinaDepartment of Agronomy Kansas State University Manhattan Kansas USADepartment of Agronomy Kansas State University Manhattan Kansas USADepartment of Agronomy Kansas State University Manhattan Kansas USAUSDA ARS Stoneville Mississippi USACollege of Forestry Jiangxi Agricultural University Nanchang ChinaCollege of Resources and Environmental Sciences China Agricultural University Beijing ChinaAbstract Water‐limited environments account for half of the earth's land surface, and dryland agriculture acreage is projected to expand due to climate changes. Examining typical dryland yield potentials and yield improvement measures is crucial for developing future dryland crop production systems. This case study used crop modeling to analyze dryland maize yield potential (YPd), farmers’ yield potential (YPf), and actual farm yields (Ya) from 1990 to 2015 in three counties in western Kansas (i.e., Thomas, Greeley, and Finney in the U.S. Great Plains region). The calibrated APSIM‐Maize model along with actual yields was used to estimate yield gaps attributed to: (a) agronomic factors (YG1 = YPd − YPf) and (b) socioeconomic constraints (YG2 = YPf − Ya). Observed climate conditions during maize‐growing seasons showed warming, brightening, and drying trends for all three counties in western Kansas from 1990 to 2015. Our results showed that the current actual farm yields (Ya) in western Kansas represented only 34%, 32%, and 28% of YPd in Thomas, Greeley, and Finney counties, respectively, indicating significant exploitable yield gaps. Agronomic factors (YG1) contributed the greatest to the yield gap in Greeley and Finney counties, whereas socioeconomic constraints (YG2) offered the greatest opportunity for improvement in Thomas county. Our analysis suggested that improving agronomic management could be a greater priority for further yield improvement in Greeley county, but selecting an appropriate hybrid was a greater priority in Finney county.https://doi.org/10.1002/fes3.328APSIM‐Maizeclimate changedryland maize yield potentialsWestern Kansasyield improvements |
| spellingShingle | Shuang Sun Xiaomao Lin Gretchen F. Sassenrath Ignacio Ciampitti Prasanna Gowda Qing Ye Xiaoguang Yang Dryland maize yield potentials and constraints: A case study in western Kansas Food and Energy Security APSIM‐Maize climate change dryland maize yield potentials Western Kansas yield improvements |
| title | Dryland maize yield potentials and constraints: A case study in western Kansas |
| title_full | Dryland maize yield potentials and constraints: A case study in western Kansas |
| title_fullStr | Dryland maize yield potentials and constraints: A case study in western Kansas |
| title_full_unstemmed | Dryland maize yield potentials and constraints: A case study in western Kansas |
| title_short | Dryland maize yield potentials and constraints: A case study in western Kansas |
| title_sort | dryland maize yield potentials and constraints a case study in western kansas |
| topic | APSIM‐Maize climate change dryland maize yield potentials Western Kansas yield improvements |
| url | https://doi.org/10.1002/fes3.328 |
| work_keys_str_mv | AT shuangsun drylandmaizeyieldpotentialsandconstraintsacasestudyinwesternkansas AT xiaomaolin drylandmaizeyieldpotentialsandconstraintsacasestudyinwesternkansas AT gretchenfsassenrath drylandmaizeyieldpotentialsandconstraintsacasestudyinwesternkansas AT ignaciociampitti drylandmaizeyieldpotentialsandconstraintsacasestudyinwesternkansas AT prasannagowda drylandmaizeyieldpotentialsandconstraintsacasestudyinwesternkansas AT qingye drylandmaizeyieldpotentialsandconstraintsacasestudyinwesternkansas AT xiaoguangyang drylandmaizeyieldpotentialsandconstraintsacasestudyinwesternkansas |