江西农业学报2025，Vol.37Issue(3)：1-8,8.DOI:10.19386/j.cnki.jxnyxb.2025.03.001
江西稻茬油菜的高产性评价
High-yield Evaluation of Rapeseed in Rice Stubble Field in Jiangxi Province
摘要
Abstract
In order to promote the renewal of rapeseed varieties and the increase of yield per unit area in Jiangxi Province,it is urgent to carry out the research on the screening of new hybrid rapeseed varieties with high yield,stable yield and strong superiority,and identify the key index that affects the high yield of rapeseed.Variety identification tests were conducted in Gao'an,Jiujiang,Ningdu,Jinxian and Ganzhou from 2022 to 2024.Ganyuza 8 was used as the control to evaluate high yield and stable yield of 19 rapeseed varieties,including Ganyuza 10 and X22-04,systematically analyze the differences in growth period,yield and plant type indexes among different rapeseed varieties,and explore the key indicators affecting the high yield of rapeseed.The results showed that Yameyou 1 and Ganyuza 10 not only had better growth period stability,but also had the best comprehensive performance in terms of high yield and stable yield.Clustering analysis was used to divide 15 varieties into four groups:high yield and stable yield,high but unstable yield,intermediate type,and low but stable yield.The characteristics of high-yield varieties included high seed weight per silique and high seed number per silique.Grey relational analysis and correlation analysis show that the seed weight per silique is the key index that influences the high yield of rapeseed.In conclusion,Yameyou 1 and Ganyuza 10 are the best rapeseed varieties to plant in Jiangxi region with high and stable yields,and the seed weight per silique is the key index affecting high yield of rapeseed.关键词
甘蓝型油菜/高产性/灰色关联分析/变异系数/角粒重Key words
Brassica napus/High-yield/Grey relational analysis/Coefficient of variation/Seed weight per silique分类
农业科技引用本文复制引用
郑潇潇,陈伦林,熊洁,张炳超,王雨文,钟石生,欧阳卫卫,吴杰,李书宇,丁戈,宋来强..江西稻茬油菜的高产性评价[J].江西农业学报,2025,37(3):1-8,8.基金项目
江西省农业科学院基础研究与人才培养专项(JXSNKYJCRC202212) （JXSNKYJCRC202212）
江西省重点研发计划(20223BBF61002) （20223BBF61002）
江西现代农业科研协同创新专项(JXXTCXFY202401、JXXTKYTJTS202501) （JXXTCXFY202401、JXXTKYTJTS202501）
国家油菜产业技术体系(CARS-12-17). （CARS-12-17）
