慕平, 赵桂琴, 柴继宽. 基于GGE-Biplot的甘肃省不同生态区燕麦生产性能及适应性分析[J]. 中国生态农业学报(中英文), 2015, 23(6): 705-712. DOI: 10.13930/j.cnki.cjea.141278
引用本文: 慕平, 赵桂琴, 柴继宽. 基于GGE-Biplot的甘肃省不同生态区燕麦生产性能及适应性分析[J]. 中国生态农业学报(中英文), 2015, 23(6): 705-712. DOI: 10.13930/j.cnki.cjea.141278
MU Ping, ZHAO Guiqin, CHAI Jikuan. Analysis of oats productivity and adaptability in different ecological regions of Gansu Province using GGE-Biplot[J]. Chinese Journal of Eco-Agriculture, 2015, 23(6): 705-712. DOI: 10.13930/j.cnki.cjea.141278
Citation: MU Ping, ZHAO Guiqin, CHAI Jikuan. Analysis of oats productivity and adaptability in different ecological regions of Gansu Province using GGE-Biplot[J]. Chinese Journal of Eco-Agriculture, 2015, 23(6): 705-712. DOI: 10.13930/j.cnki.cjea.141278

基于GGE-Biplot的甘肃省不同生态区燕麦生产性能及适应性分析

Analysis of oats productivity and adaptability in different ecological regions of Gansu Province using GGE-Biplot

  • 摘要: 为研究不同燕麦品种在甘肃省不同生态地区的生产性能和适应性, 筛选适宜不同产区推广种植的品种, 本文从2011—2013年采用7个燕麦品种在甘肃省天祝县、通渭县、夏河县、岷县、安定区、榆中县、合作市等7个不同生态区进行了为期3年的田间试验, 分析参试材料干草和种子产量、生育期、株高、有效分蘖、穗长、穗粒数、穗粒重等指标的变化情况, 利用GGE-Biplot双标图法对供试品种的生产性能及适应性进行了分析。结果表明, 种植区生态环境对燕麦的生产性能有显著影响, 7个试验点中通渭县的平均种子产量最高, 为5 671.3 kg·hm-2, 安定区种子产量和干草均最低, 分别为1 709.7 kg·hm-2和3 301.2 kg·hm-2。不同品种在不同地区的适应性、丰产性和稳产性差异很大。‘陇燕2号’和‘陇燕3号’在天祝县、岷县、通渭县和榆中县种植可收获较高的青干草产量; ‘陇燕1号’、‘陇燕3号’、‘青引2号’在合作市、通渭县、岷县种植可获得较高的种子产量; ‘白燕7号’适宜在通渭县生产种子。7个试验点中最具代表性的是通渭县和岷县, 通渭县适合干草生产, 岷县适合种子生产。GGE-Biplot双标图法可以简便而直观地分析不同燕麦品种在不同利用目的下、不同生态区域的生产性能及其稳定性和试验点的代表性, 提高试验效率和试验结果的准确性。

     

    Abstract: Gansu Province is a major oat production area in northwestern China. Both oat hay and grain are very good feeds for livestock animals. Due to high variations in topography and physiognomy from east to west of Gansu Province, oat production in the province varies significantly. In order to determine the productivity and adaptability of different oat varieties in different eco-regions of Gansu Province, a 3-year experiment consisting 7 oat varieties (‘Longyan No.1’, ‘Longyan No. 2’, ‘Longyan No. 3’, ‘Qingyin No. 1’, ‘Qingyin No. 2’, ‘Denmark 444’ and ‘Baiyan No. 7’) was conducted in 7 different eco-regions (Tianzhu County, Tongwei County, Xiahe County, Minxian County, Anding District, Hezuo City and Yuzhong County) of the province. The variations in hay and grain yields, growth period, plant height, effective tiller number, panicle length, grain number and grain weight per panicle were recorded and the recorded data was analyzed using GGE-Biplot analysis. GGE-Biplot analysis is a simple and intuitive method for analyzing productivity and adaptability of crop varieties under different utilization purposes in different ecological regions. It can also be used to test the representativeness of trail sites, to enhance the efficiency of experiment studies and to increase the accuracy of experimental results. The results suggested that eco-environment played a vital role in oat productivity. Among the 7 experimental sites in the seven regions, the highest average grain yield (5 671.3 kg·hm-2) was in Tongwei County while both the lowest grain (1 709.7 kg·hm-2) and hay (3 301.2 kg·hm-2) yields were in Anding District. Significant varietal differences were observed in terms of adaptability, productivity and stability in different eco-regions. Different varieties had different performances in different eco-regions under different utilization purposes. ‘Longyan No. 2’ and ‘Longyan No. 3’ performed best in Tianzhu County, Minxian County, Tongwei County and Yuzhong County in terms of hay yield. Then ‘Longyan No. 1’, ‘Longyan No. 3’ and ‘Qingyin No. 2’ performed best in Hezuo City, Minxian County and Tongwei County in terms of grain production. ‘Baiyan No. 7’ was most suitable for Tongwei County in terms of grain production. Among the 7 regions, Tongwei County was most representative of the counties in terms of hay production. Minxian County was the most suitable county in terms of grain production.

     

/

返回文章
返回