干旱区生态环境知识资源中心(Arid): Sensor feedback system enables automated deficit irrigation scheduling for cotton

Arid

DOI	10.3389/fpls.2023.1149424
	Sensor feedback system enables automated deficit irrigation scheduling for cotton
	O'Shaughnessy, Susan A.; Colaizzi, Paul D.; Bednarz, Craig W.
通讯作者	O'Shaughnessy, SA
来源期刊	FRONTIERS IN PLANT SCIENCE
ISSN	1664-462X
出版年	2023
卷号	14
英文摘要	Precision irrigation technologies using sensor feedback can provide dynamic decision support to help farmers implement DI strategies. However, few studies have reported on the use of these systems for DI management. This two-year study was conducted in Bushland, Texas to investigate the performance of the geographic information (GIS) based irrigation scheduling supervisory control and data acquisition (ISSCADA) system as a tool to manage deficit irrigation scheduling for cotton (Gossypim hirsutum L). Two different irrigation scheduling methods automated by the ISSCADA system - (1) a plant feedback (designated C) - based on integrated crop water stress index (iCWSI) thresholds, and (2) a hybrid (designated H) method, created to combine soil water depletion and the iCWSI thresholds, were compared with a benchmark manual irrigation scheduling (M) that used weekly neutron probe readings. Each method applied irrigation at levels designed to be equivalent to 25%, 50% and 75% replenishment of soil water depletion to near field capacity (designated I-25, I-50 and I-75) using the pre-established thresholds stored in the ISSCADA system or the designated percent replenishment of soil water depletion to field capacity in the M method. Fully irrigated and extremely deficit irrigated plots were also established. Relative to the fully irrigated plots, deficit irrigated plots at the I-75 level for all irrigation scheduling methods-maintained seed cotton yield, while saving water. In 2021, the irrigation savings was a minimum of 20%, while in 2022, the minimum savings was 16%. Comparing the performance of deficit irrigation scheduling between the ISSCADA system and the manual method showed that crop response for all three methods were statistically similar at each irrigation level. Because the M method requires labor intensive and expensive use of the highly regulated neutron probe, the automated decision support provided by the ISSCADA system could simplify deficit irrigation management of cotton in a semi-arid region.
英文关键词	crop water stress index (CWSI) infrared thermometry soil water sensing wireless sensor networks variable rate irrigation (VRI)
类型	Article
语种	英语
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000951317700001
WOS关键词	DIFFERENCE VEGETATION INDEX ; VARIABLE-RATE IRRIGATION ; CANOPY TEMPERATURE ; YIELD COMPONENTS ; MOISTURE STATUS ; HIGH-PLAINS ; LINT YIELD ; WATER-USE ; SORGHUM ; NITROGEN
WOS类目	Plant Sciences
WOS研究方向	Plant Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/396628
推荐引用方式 GB/T 7714	O'Shaughnessy, Susan A.,Colaizzi, Paul D.,Bednarz, Craig W.. Sensor feedback system enables automated deficit irrigation scheduling for cotton[J],2023,14.
APA	O'Shaughnessy, Susan A.,Colaizzi, Paul D.,&Bednarz, Craig W..(2023).Sensor feedback system enables automated deficit irrigation scheduling for cotton.FRONTIERS IN PLANT SCIENCE,14.
MLA	O'Shaughnessy, Susan A.,et al."Sensor feedback system enables automated deficit irrigation scheduling for cotton".FRONTIERS IN PLANT SCIENCE 14(2023).