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江苏省小麦参试品种(系)产量与产量构成因素分析
引用本文:姚金保,杨学明,周淼平,张鹏.江苏省小麦参试品种(系)产量与产量构成因素分析[J].中国农学通报,2022,38(6):15-19.
作者姓名:姚金保  杨学明  周淼平  张鹏
作者单位:1.江苏省农业科学院粮食作物研究所,南京 210014;2.扬州大学江苏省粮食作物现代产业技术协同创新中心,江苏扬州 225009
基金项目:农业部现代农业产业技术体系“南京综合试验站”(CARS-03);
摘    要:旨在明确江苏淮南和淮北麦区小麦产量构成因素对产量影响的相对重要性,采用相关和通径分析法,对江苏省2019—2020年度预备试验101个小麦品种(系)的产量及其构成因素进行分析。结果表明,淮南和淮北小麦品种(系)的平均产量分别为7739.1 kg/hm2和8560.3 kg/hm2。相关分析表明,淮南小麦产量构成因素与产量均呈正相关,其中千粒重与产量呈极显著正相关;淮北小麦穗数与产量呈极显著正相关,穗粒数与产量呈显著负相关,千粒重与产量呈不显著正相关。偏相关分析表明,产量三因素与产量均呈极显著正相关,而三因素间均呈极显著负相关。通径分析表明,淮南以千粒重对产量的作用最大,淮北以穗数对产量的贡献最大。淮南小麦高产育种策略应重视穗重型品种选择,而淮北则应加强多穗型品种选择。

关 键 词:小麦  产量  产量构成因素  相关分析  通径分析  
收稿时间:2021-03-30

Analysis of Yield and Its Components of Wheat Varieties (Lines) in Jiangsu Province
YAO Jinbao,YANG Xueming,ZHOU Miaoping,ZHANG Peng.Analysis of Yield and Its Components of Wheat Varieties (Lines) in Jiangsu Province[J].Chinese Agricultural Science Bulletin,2022,38(6):15-19.
Authors:YAO Jinbao  YANG Xueming  ZHOU Miaoping  ZHANG Peng
Institution:1.Institute of Food Crops, Jiangsu Academy of Agricultural Sciences, Nanjing 210014;2.Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, Jiangsu 225009
Abstract:The study aims to revealing the relative importance of the yield components affecting the wheat yield in Huainan and Huaibei area of Jiangsu Province. The yield and its components of 101 wheat varieties (lines) in the 2019-2020 preparatory test in the province were analyzed by correlation and path analysis. The results showed that the average yield of wheat varieties (lines) in Huainan and Huaibei area was 7739.1 kg/hm2 and 8560.3 kg/hm2, respectively. Correlation analysis showed that the yield components had positive correlation with the yield in the Huainan area, and 1000-grain weight was significantly and positively correlated with the yield. In the Huaibei area, the spike number was significantly and positively correlated with the yield, while grain number per spike was significantly and negatively correlated with the yield, and there was a no-significant positive correlation between 1000-grain weight and the yield. The partial correlation analysis showed that the three yield components had a significantly positive correlation with wheat yield, while there was a significantly negative correlation among the three components. Path analysis showed that 1000-grain weight had the greatest direct contribution to the yield in the Huainan area, and the spike number had the greatest contribution to the yield in the Huaibei area. The high yield breeding strategy of wheat in the Huainan area should pay attention to the selection of heavy spike varieties, while the selection of multi-spike varieties should be strengthened in the Huaibei area.
Keywords:wheat  yield  yield components  correlation analysis  path analysis  
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