
Application of GGE-biplot analysis on yield stability and testing-site representativeness of Heyou peanut series in southeast China
WU Chang-zhan, WEI Han-wen, SU Ming, CHEN Can, WU Chun-ling, LI Zhan; HUANG Shi-lv, CHEN Qing-zheng, TAN Dan, TANG Rong-hua
CHINESE JOURNAL OF OIL CROP SCIENCES ›› 2016, Vol. 38 ›› Issue (01) : 47.
Application of GGE-biplot analysis on yield stability and testing-site representativeness of Heyou peanut series in southeast China
GGE-biplot was used to analyze yield data of Heyou peanut tested in 7 sites including Ganzhou, Quanzhou, Zhanjiang, Luoding, Hezhou, Guiping, Wuxuan in southeast China. The results showed that Heyou 11 and Heyou 12 had higher yield ability and stability than other Heyou cultivars. Average yield and the highest yield of Heyou 11 were 3 510.7 kg?hm-2 and 4 447.5kg?hm-2¬, and those for Heyou 12 were 3 440.2 and 4 575.0kg·hm-2 respectively. Both Heyou 11 and Heyou 12 adapted to most sites tested, except Heyou 12 in Hezhou. The rest of cultivars had their own special adaptive regions. Heyou 9 was most suitable for planting in Hezhou, Heyou 10 in Luoding Guangdong, Heyou 13 in Zhanjiang Guangdong and Ganzhou Jiangxi, respectively. Their yields were higher than 3 410.0 kg·hm-2 in their adapted regions. GGE-biplot method could provide a guideline on cultivar breeding and yield evaluation at different conditions, and this study could contribute to peanut expansion and peanut breeding of Heyou improvement.
Peanut / Heyou-series / Yield / GGE-biplot / Multi-environment test {{custom_keyword}} /
[1] 严威凯. 双标图分析在农作物品种多点试验中的应用[J]. 作物学报, 2010,36(11):1805-1819.
[2] 吴元奇, 潘光堂, 荣廷昭. 作物稳定性研究进展[J]. 四川农业大学学报,2005, 23(4):482-489.
[3] 穆培源, 庄 丽, 张吉贞,等. 作物品种稳定性分析方法的研究进展[J]. 新疆农业科学, 2003, 40(3):142-144.
[4] 严威凯, 盛庆来, 胡跃高, 等. GGE叠图法——分析品种×环境互作模式的理想方法[J]. 作物学报, 2001,27(1):21-28.
[5] 金石桥,许乃银. GGE双标图在中国农作物品种试验中应用的必要性探讨[J]. 种子,2012,31(12):89-92.
[6] Yan W, Hunt L A, Sheng Q L, et al. Cultivar evaluation and mega-environment investigation based on GGE biplot[J]. Crop Sci, 2000, 40:596-605.
[7] 聂迎彬, 穆培源, 桑 伟, 等. AMMI模型和GGE双标图法在新疆冬小麦区域试验产量分析上的应用[J]. 新疆农业科学, 2012, 49(9):1 569-1 575.
[8] 常 磊, 柴守玺. GGE双标图在我国旱地春小麦稳产性分析中的应用[J].中国生态农业学报, 2010,18(5):988-994.
[9] 许乃银, 金石桥. 应用GGE双标图筛选理想棉花区域试验点[J]. 江西棉花, 2010, 32(3):7-12.
[10] 周长军, 田中艳, 李建英,等. 双标图法分析大豆多点试验中品系产量稳定性及试点代表性[J]. 大豆科学, 2011,30(2):318-321.
[11] 梁黔云, 李清超, 吴 瑞,等. GGE双标图在玉米品种区域实验中的应用[J]. 中国农学通报, 2014,30(6):224-228.
[12] 谭贤杰, 覃兰秋, 廖金秀,等. 应用多元统计分析玉米农艺性状[J]. 种子, 2011,30(5):32-36.
[13] 罗 俊, 张 华, 邓祖湖,等. 应用GGE 双标图分析甘蔗品种(系)的产量和品质性状[J]. 作物学报, 2013, 39(1):142-152.
[14] 罗 俊, 许莉萍, 邱 军,等. 基于HA-GGE双标图的甘蔗试验环境评价及品种生态区划分[J]. 作物学报,2015,41(2): 214-227.
[15] 周志淑, 王 瑞, 李加纳. GGE双标图对油菜双列杂交试验结果的分析[J]. 种子, 2009, 28(6):102-104.
[16] 尚 毅, 李少钦, 李殿荣, 等. 用双标图分析油菜双列杂交试验[J]. 作物学报, 2006,32(2):243-248.
[17] 石 强, 李亚杰, 范士杰, 等. 贵州省马铃薯区试品种产量与农艺性状的GGE双标图分析[J]. 干旱地区农业研究, 2015,33(2):5-14.
[18] 陈四龙, 李玉荣, 程增书, 等.用GGE 双标图分析种植密度对高油花生生长和产量的影响[J]. 作物学报, 2009,35(7):1328-1335.
[19] Freeman G H, Perkins J M. Environmental and genotype-environmental components of variability. Ⅷ. Relations between genotypes grown in different environments and measures of these environments[J]. Heredity, 1971, 27: 15−23.
[20] 张志芬,付晓峰,刘俊青,等. 用GGE双标图分析燕麦区域试验品系产量稳定性及试点代表性[J]. 作物学报,2010, 36(8): 1377-1385.
/
〈 |
|
〉 |