干旱区生态环境知识资源中心(Arid): Modeling kernel weight of hybrid maize seed production with different water regimes

Arid

DOI	10.1016/j.agwat.2021.106851
	Modeling kernel weight of hybrid maize seed production with different water regimes
	Shi, Rongchao; Tong, Ling; Ding, Risheng; Du, Taisheng; Shukla, Manoj Kumar
通讯作者	Du, TS (corresponding author), China Agr Univ, Ctr Agr Water Res China, Beijing 100083, Peoples R China.
来源期刊	AGRICULTURAL WATER MANAGEMENT
ISSN	0378-3774
EISSN	1873-2283
出版年	2021
卷号	250
英文摘要	Kernel weight (KW) is the key to ensuring seed vigor in hybrid maize (Zea mays L.) production, and irrigation is important for ensuring KW in arid regions. Irrigation experiments were conducted in an arid region of Northwest China to investigate the effects of water deficit on KW, plant growth rate per kernel after silking (PGRKAS), lag phase duration (LPD), kernel growth rate during effective grain filling (KGREGF), and effective grain filling duration (EGFD), which included a 50% water deficit at the vegetative stage, and a 50% and 100% water deficit at the flowering and grain-filling stages in 2018 and 2019. A restricted pollination treatment and two defoliation treatments (three and six leaves were removed from the top 14 days after silking) were conducted under each irrigation treatment in 2019 to obtain a wide range of data on grain filling characteristics and aboveground biomass. The results showed that a 50% water deficit at the vegetative stage shortened EGFD and LPD in both years. The 50% and 100% water deficit at the grain-filling stage decreased KW, PGRKAS, EGFD, and KGREGF in 2019, but had no significant differences in each indices in 2018 due to heavy rainfall. We found a bilinear plateau relationship between relative KGREGF (RKGREGF) and relative PGRKAS (RPGRKAS) as well as a logistic relationship between relative EGFD and RPGRKAS/RKGREGF. Combined with the Jensen model to simulate biomass characteristic parameters (the maximum aboveground biomass, the day of year of the maximum absolute growth rate, and the initial growth rate), the KW?water model performed well in predicting the KW of hybrid maize seed production under different irrigation treatments. This research provides a quantitative method for modeling the KW of hybrid maize seed production, which considers the source-sink relationship under different water regimes in arid areas.
英文关键词	Grain filling characteristic Water deficit Plant growth rate Kernel weight model Source-sink relationship
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000636268000001
WOS关键词	SINK CAPACITY ; PLANT-GROWTH ; SOWING DATE ; DRY-WEIGHT ; YIELD ; DEFICIT ; GERMINATION ; TEMPERATE ; NITROGEN ; SYSTEM
WOS类目	Agronomy ; Water Resources
WOS研究方向	Agriculture ; Water Resources
来源机构	中国农业大学 ; New Mexico State University
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/349338
作者单位	[Shi, Rongchao; Tong, Ling; Ding, Risheng; Du, Taisheng] China Agr Univ, Ctr Agr Water Res China, Beijing 100083, Peoples R China; [Shukla, Manoj Kumar] New Mexico State Univ, Dept Plant & Environm Sci, Las Cruces, NM 88003 USA
推荐引用方式 GB/T 7714	Shi, Rongchao,Tong, Ling,Ding, Risheng,et al. Modeling kernel weight of hybrid maize seed production with different water regimes[J]. 中国农业大学, New Mexico State University,2021,250.
APA	Shi, Rongchao,Tong, Ling,Ding, Risheng,Du, Taisheng,&Shukla, Manoj Kumar.(2021).Modeling kernel weight of hybrid maize seed production with different water regimes.AGRICULTURAL WATER MANAGEMENT,250.
MLA	Shi, Rongchao,et al."Modeling kernel weight of hybrid maize seed production with different water regimes".AGRICULTURAL WATER MANAGEMENT 250(2021).