干旱区生态环境知识资源中心(Arid): Deficit irrigation decision-making of indigowoad root based on a model coupling fuzzy theory and grey relational analysis

Arid

DOI	10.1016/j.agwat.2022.107983
	Deficit irrigation decision-making of indigowoad root based on a model coupling fuzzy theory and grey relational analysis
	Wang, Zeyi; Zhang, Hengjia; Wang, Yingying; Wang, Yong; Lei, Lian; Liang, Chao; Wang, Yucai
通讯作者	Zhang, HJ
来源期刊	AGRICULTURAL WATER MANAGEMENT
ISSN	0378-3774
EISSN	1873-2283
出版年	2023
卷号	275
英文摘要	Water scarcity is a critical constraint to the cultivation of medicinal crops. Establishing irrigation requirements for medicinal plants is crucial for the large-scale production of crude drugs in China. To evaluate the response of indigowoad root growth to water deficit (WD) under-mulched drip irrigation, and determine the optimal deficit irrigation mode for this medicinal crop in Hexi Corridor's desert oasis, two WD levels were applied: mild (65-75% FC [field capacity]) and moderate (55-65% FC). These treatments were implemented during the vegetative growth (VG) and fleshy-root growth (RG) stages, and sufficient water supply maintained during the other plant stages. A total of seven combined treatments were imposed, with sufficient water supply (85-75% FC) as the control treatment. From the 2-year-long (2017, 2018) field experiment's results, 12 indicators of indigowoad root growth, yield, water consumption and quality attributes were evaluated via weighted fuzzy evaluation and a grey relation-coupling model. Results indicated that, with greater irrigation amounts throughout the plant growth period, the fuzzy evaluation value of growth, yield and water consumption indicators increased whereas their quality indicators decreased. The fuzzy evaluation value of yield indicators of V1G0 (mild WD treatment during VG) was the highest (0.1582, 0.1581), while that of growth indicators was also relatively high (0.1524, 0.1532). Fuzzy evaluation values of growth and yield indicators of V1G1 (mild WD during VG and RG) exceeded those of V1G2 (mild WD during VG and moderate WD during RG), but evaluation value of quality indicators was lower for V1G1 (0.1457, 0.1457) than V1G2 (0.1494, 15155). Based on the weighted grey relation model, the comprehensive score of V1G0 was deemed best. Therefore, to ensure both yield and quality, the V1G1 is recommended. Our results can provide a scientific basis for efficient water-saving cultivation of indigowoad root in Hexi oasis regions.
英文关键词	Comprehensive evaluation Deficit irrigation Fuzzy evaluation Grey relational analysis Indigowoad root
类型	Article
语种	英语
开放获取类型	hybrid
收录类别	SCI-E
WOS记录号	WOS:000883023800003
WOS关键词	WATER-USE EFFICIENCY ; DROUGHT STRESS ; LOESS PLATEAU ; FRUIT-QUALITY ; YIELD ; GROWTH ; WHEAT
WOS类目	Agronomy ; Water Resources
WOS研究方向	Agriculture ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/395021
推荐引用方式 GB/T 7714	Wang, Zeyi,Zhang, Hengjia,Wang, Yingying,et al. Deficit irrigation decision-making of indigowoad root based on a model coupling fuzzy theory and grey relational analysis[J],2023,275.
APA	Wang, Zeyi.,Zhang, Hengjia.,Wang, Yingying.,Wang, Yong.,Lei, Lian.,...&Wang, Yucai.(2023).Deficit irrigation decision-making of indigowoad root based on a model coupling fuzzy theory and grey relational analysis.AGRICULTURAL WATER MANAGEMENT,275.
MLA	Wang, Zeyi,et al."Deficit irrigation decision-making of indigowoad root based on a model coupling fuzzy theory and grey relational analysis".AGRICULTURAL WATER MANAGEMENT 275(2023).