QQ客服 官方微博 反馈留言

	Statistical identification of chilling and heat requirements for apricot flower buds in Beijing, China
	Guo L.; Xu, J. C.; Dai, J. H.; Cheng, J. M.; Luedeling, E.
	2015
关键词	Apricot Chilling model Chilling requirement Flower buds Forcing model Heat requirement temperate fruit-trees winter chill dormancy breaking prediction model rest completion climate-change cultivars phenology plants dependence
英文摘要	Instead of the commonly used approach of conducting controlled experiments to estimate chilling and heat requirements (CR and HR) of fruit trees, the statistical method of Partial Least Squares (PLS) regression was applied to identify the CR and HR of apricot (Prunus armeniaca L.) in Beijing, China by correlating first flowering dates of apricot with daily chilling and heat accumulation during 1963-2010. Three common chilling models (the 0-7.2 degrees C, Utah and Dynamic Models) and one forcing model (the Growing Degree Hour Model) were used to convert daily temperature data into daily chill and heat accumulation rates. The results indicated that PLS regression analysis is a useful approach to estimate the CR and HR of fruit trees wherever phenology and climate observations have been conducted for long periods. Use of all chilling models indicated similar chilling periods for apricot in Beijing (mid-September to early March), while the identified forcing period started in early January and extended to the first flowering date for each year. The Dynamic Model appeared to be the most accurate model with smallest year-to-year variation in chill accumulated during the chilling period (coefficient of variation of only 7.5%). Using the Dynamic Model for chill, and the Growing Degree Hour Model for heat quantification, the CR of apricot in Beijing was determined at 75 6 Chill Portions (CP) and the HR at 3055 938 Growing Degree Hours (GDH). (C) 2015 Elsevier B.V. All rights reserved.
出处	Scientia Horticulturae
卷	195
页	138-144
语种	英语
ISSN号	0304-4238
DOI标识	10.1016/j.scienta.2015.09.006
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/43529]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Guo L.,Xu, J. C.,Dai, J. H.,et al. Statistical identification of chilling and heat requirements for apricot flower buds in Beijing, China. 2015.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。