气候变化领域集成服务门户(CCPortal): Models for Predicting Pineapple Flowering and Harvest Dates

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DOI	10.2503/hortj.QH-085
	Models for Predicting Pineapple Flowering and Harvest Dates
	Sugiura, Toshihiko; Takeuchi, Makoto; Kobayashi, Takuya; Omine, Yuta; Yonaha, Itaru; Konno, Shohei; Shoda, Moriyuki
发表日期	2024
ISSN	2189-0102
EISSN	2189-0110
起始页码	93
结束页码	1
卷号	93 期号:1
英文摘要	The growing-degree-days (GDD) model for pineapple was developed to predict flowering and harvest dates; however, it has not been adapted to the climate in Japan's growing regions, where air temperatures fluctuate over a wide range, and the prediction accuracy is low. The present study aimed to develop models for predicting flowering and harvest dates with high accuracy by analyzing a large phenological dataset from Japan's main (Nago) and warmer (Ishigaki) production areas. The number of days between budding and flowering decreased at air temperatures of up to approximately 25 degrees C and remained constant above 25 degrees C. The number of days between flowering and harvest decreased until approximately 23 degrees C. The effect of day length on both days to flowering and harvest was small. The relationship between air temperature and the developmental rate after budding to flowering and after flowering to harvest was modeled using the GDD and exponential function models, both with upper limits. The GDD model with an upper limit temperature was more accurate at predicting flowering and harvest dates compared to the conventional GDD model. In particular, the prediction accuracy of the harvest date was dramatically improved. Because the relationship between the developmental rate until flowering and the air temperature was exponential rather than linear, the exponential function model provided a more accurate prediction of the flowering date. The root-meansquare errors of the most accurate models were 3.7-6.1 days for predicting the flowering date and 6.1-10.2 days for the harvest date. We believe that these models will be useful for planning shipments of pineapple in regions with wide temperature ranges, such as Japan, and for cultivation management in response to climate change.
英文关键词	day length; developmental rate; DVR model; GDD model; temperature
语种	英语
WOS研究方向	Agriculture
WOS类目	Horticulture
WOS记录号	WOS:001153715500001
来源期刊	HORTICULTURE JOURNAL
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/301053
作者单位	National Agriculture & Food Research Organization - Japan
推荐引用方式 GB/T 7714	Sugiura, Toshihiko,Takeuchi, Makoto,Kobayashi, Takuya,et al. Models for Predicting Pineapple Flowering and Harvest Dates[J],2024,93(1).
APA	Sugiura, Toshihiko.,Takeuchi, Makoto.,Kobayashi, Takuya.,Omine, Yuta.,Yonaha, Itaru.,...&Shoda, Moriyuki.(2024).Models for Predicting Pineapple Flowering and Harvest Dates.HORTICULTURE JOURNAL,93(1).
MLA	Sugiura, Toshihiko,et al."Models for Predicting Pineapple Flowering and Harvest Dates".HORTICULTURE JOURNAL 93.1(2024).