干旱区生态环境知识资源中心(Arid): Optimizing Dryland Crop Management to Regional Climate via Simulation. Part I: U.S. Southern High Plains Cotton Production

Arid

DOI	10.3389/fsufs.2019.00120
	Optimizing Dryland Crop Management to Regional Climate via Simulation. Part I: U.S. Southern High Plains Cotton Production
	Mauget, Steven; Marek, Gary; Adhikari, Pradip; Leiker, Gary; Mahan, James; Payton, Paxton; Ale, Srinivasulu
通讯作者	Mauget, S
来源期刊	FRONTIERS IN SUSTAINABLE FOOD SYSTEMS
EISSN	2571-581X
出版年	2020
卷号	3
英文摘要	Over semi-arid agricultural regions such as the U.S. Southern High Plains (SHP) producers of dryland crops need to know which management practices increase yields and decrease production risk. Here, a modeling approach is used to explore management options (MO) that increase dryland cotton yields and estimate those practice's yield risk effects under current SHP climate conditions. To simulate current dryland yield variability, dense distributions of lint yield outcomes were generated using the CROPGRO-Cotton crop model driven by weather inputs from 21 SHP weather stations during 2005-2016. Management effects were explored by repeating simulations over 32 MOs defined by 4 planting dates, 4 planting densities, and applying or not applying nitrogen. Both earlier planting date and decreased plant density increased median simulated yields, with earlier planting having the greatest positive yield effects. The simulated MO that produced the highest median lint yields planted on the earliest planting date (May 15), at the lowest density (3 plants m(-1)), and applied no nitrogen. Recent SHP field studies generally confirm the earlier planting date effect, but suggest insignificant yield effects for different seeding rates. Even so, negligible yield effects and lower input costs favor lower seeding densities from a profit standpoint. These crop simulations demonstrate a modeling-based method for climate-related agricultural risk management, and suggest mid-May planting dates and low plant densities as part of management practices that increase yields and profits in dryland SHP cotton production.
英文关键词	managing to climatology U.S. southern high plains crop models DSSAT CROPGRO-cotton agricultural risk management cotton production
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000511901600001
WOS关键词	LINT YIELD ; WATER-USE ; STRATEGIES ; ENVIRONMENT ; EMERGENCE ; AQUIFER
WOS类目	Food Science & Technology
WOS研究方向	Food Science & Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/334216
作者单位	[Mauget, Steven; Leiker, Gary; Mahan, James; Payton, Paxton] ARS, Plant Stress & Water Conservat Lab, USDA, Lubbock, TX 79415 USA; [Marek, Gary] ARS, Conservat & Prod Res Lab, USDA, Bushland, TX USA; [Adhikari, Pradip] Idaho State Dept Agr, Boise, ID USA; [Ale, Srinivasulu] Texas A&M AgriLife Res & Extens Ctr, Vernon, TX USA
推荐引用方式 GB/T 7714	Mauget, Steven,Marek, Gary,Adhikari, Pradip,et al. Optimizing Dryland Crop Management to Regional Climate via Simulation. Part I: U.S. Southern High Plains Cotton Production[J],2020,3.
APA	Mauget, Steven.,Marek, Gary.,Adhikari, Pradip.,Leiker, Gary.,Mahan, James.,...&Ale, Srinivasulu.(2020).Optimizing Dryland Crop Management to Regional Climate via Simulation. Part I: U.S. Southern High Plains Cotton Production.FRONTIERS IN SUSTAINABLE FOOD SYSTEMS,3.
MLA	Mauget, Steven,et al."Optimizing Dryland Crop Management to Regional Climate via Simulation. Part I: U.S. Southern High Plains Cotton Production".FRONTIERS IN SUSTAINABLE FOOD SYSTEMS 3(2020).