摘要
试验共设5个氮肥施用量(0,60,120,180,240 kg/hm^2),测定籽粒产量、产量构成因子、水稻冠层6种高光谱指数,并将高光谱指数与产量和产量构成因子进行回归分析.获得如下主要结果:①增加施氮量,显著提高了覆膜旱作水稻籽粒和秸秆产量;②覆膜旱作水稻的有效穗和穗粒数,随着施氮量增加呈增长趋势;③水稻冠层比值植被指数(RVI)与覆膜旱作水稻产量、产量构成因子以及氮肥利用效率呈显著正相关关系.
In the“ground cover rice production system(GCRPS)”,all fertilizers have to be applied as basal fertilization before film mulching,which results in excessive vegetativegrowth and potential N deficiency during the reproductive stage.However,it remains unknown how nitrogen application rate affects rice growth and yield in GCRPSand whether canopy hyperspectral vegetation indices can accurately reflect the N nutrition status of film-mulched rice plants.In order to provide a rapid andefficient way for rice nitrogen diagnosis and optimization in GCRPS,a field experiment was conductedin which rice plants were supplied with nitrogen fertilizer at 0,60,120,180 and 240 kg/hm 2,andyield,yield-forming factorsand 6 canopy hyperspectral indices of rice were determined.Then,regression analysis was made of the hyperspectral indices with rice yield and yield-forming factors.The results showed that rice grain and straw yield increasedsignificantly with higher nitrogen application in GCRPS;thatproductive tillers and spikelets per panicle increased with higher nitrogen application;and the ratio vegetation index(RVI)of rice canopy was in a highly significant positive correlation with the yield,yield-contributing characters and nitrogen use efficiency of the plants.
作者
郭琳
王化宏
程道德
彭希
胡克林
左强
林杉
GUO Lin;WANG Hua-hong;CHENG Dao-de;PENG Xi;HU Ke-lin;ZUO Qiang;LIN Shan(College of Resources and Environmental Sciences,China Agricultural University,Beijing 100193,China;College of Agronomy,Jiangxi Agricultural University,Nanchang 330045,China;Bureau of Agriculture of Fang County,Shiyan City Hubei 442000,China)
出处
《西南大学学报(自然科学版)》
CAS
CSCD
北大核心
2021年第1期67-74,共8页
Journal of Southwest University(Natural Science Edition)
基金
国家自然科学基金项目(41371286,51139006).
关键词
水稻覆膜节水栽培体系
产量
产量构成因子
氮肥利用效率
高光谱
回归模型
water-saving ground cover rice production system
yield
yield-forming factor
nitrogen use efficiency
hyperspectral vegetationindex
regression model