Application of GGE-biplot Based on R Language to Regional Trial of Rice Varieties

doi:10.3969/j.issn.1006-8082.2024.02.011

China Rice ›› 2024, Vol. 30 ›› Issue (2): 57-60.DOI: 10.3969/j.issn.1006-8082.2024.02.011

• Special Thesis & Basic Research • Previous Articles Next Articles

Application of GGE-biplot Based on R Language to Regional Trial of Rice Varieties

JIANG Xiuying¹(), MA Zuobin¹, WANG Qingxin², LV Jun¹, PAN Zhengyan¹, XIE Wenxiao¹, LI Jianguo¹, LI Yuedong¹, HAN Yong¹

¹Liaoning Rice Research Institute, Shenyang 110101, China
²Dashiqiao Centre for Agricultural and Rural Affairs, Dashiqiao, Liaoning 115000, China

Received:2023-10-16 Online:2024-03-20 Published:2024-03-18
About author:1st author: Lndaozuo@126.com

基于R语言的GGE双标图在水稻品种区域试验中的应用

姜秀英¹(), 马作斌¹, 王庆新², 吕军¹, 潘争艳¹, 解文孝¹, 李建国¹, 李跃东¹, 韩勇¹

¹辽宁省水稻研究所，沈阳 110101
²大石桥市农业农村事务中心，辽宁大石桥 115100

基金资助:
辽宁省水稻种植结构调整专项“优质高食味水稻新品种选育繁育示范推广”;辽宁省应用基础研究计划项目(2022JH2/101300283)

Abstract

Abstract:

To accurately evaluate the stability and adaptability of rice varieties, we analyzed the yield data of 14 participating varieties from six mid-early experiment sites of Liaoning Province using GGE-biplot in 2019. The results showed that genotype, environment and interaction between genotype and environment influenced rice yield very significantly. The six pilot areas can be divided into three ecological types, and Yuanjing 2 performed the best in its respective ecological areas. Meifengdao 245, Jingyuan 2, and Fuhedao 258 were ideal varieties for this experiment due to their high-yielding ability and good stability. Among the experimental pilots, Kaiyuan Demonstration and Multiplication Farm had the strongest discrimination, Huanren Manchu Autonomous County Seed Management Station had the best representativeness, and Fushun Seed Management Station had good discrimination ability and strong representativeness, making it an ideal regional experimental site for this experiment group.

Key words: rice, regional trial, GGE biplot, high-yielding ability, stability, adaptability

摘要：

为准确评价水稻区试品种稳产性和适应性，利用GGE双标图对2019年辽宁省中早熟区试6个试验点的14个参试品种的产量数据进行分析。结果表明，基因型（G）、环境及基因型与环境互作（GE）均对水稻产量存在极显著影响。6个区试点可分为3个生态类型区，源粳2号在所属的生态区表现最优。美锋稻245、源粳2号和富禾稻258属丰产稳产性较好的品种，为理想品种。区试点中开原市示范繁殖农场区分力最好，桓仁满族自治县种子管理站代表性最强，抚顺市种子管理站具有很好的区分力及较强的代表性，是较理想的区域试验点。

关键词: 水稻, 区域试验, GGE双标图, 丰产性, 稳产性, 适应性

CLC Number:

S511.037

JIANG Xiuying, MA Zuobin, WANG Qingxin, LV Jun, PAN Zhengyan, XIE Wenxiao, LI Jianguo, LI Yuedong, HAN Yong. Application of GGE-biplot Based on R Language to Regional Trial of Rice Varieties[J]. China Rice, 2024, 30(2): 57-60.

姜秀英, 马作斌, 王庆新, 吕军, 潘争艳, 解文孝, 李建国, 李跃东, 韩勇. 基于R语言的GGE双标图在水稻品种区域试验中的应用[J]. 中国稻米, 2024, 30(2): 57-60.

Figures/Tables 8

References 13

[1]	张海娟, 王化俊, 马小乐, 等. 基于GGE双标图的北方大麦区试品种稳定性及试点代表性评价[J]. 麦类作物学报, 2015, 35(9):1250-1 256.
[2]	陈志德, 仲维功, 杨杰, 等. 水稻品种(系)稳定性分析模型的评价[J]. 江苏农业学报, 2003, 19(4):205-210.
[3]	郭敏杰, 邓丽, 任丽, 等. 基于Genstat的GGE双标图评价花生区试中的品种及试点[J]. 河北农业大学学报, 2017, 40(6):9-13.
[4]	YAN W K. Singular-value partitioning in biplot analysis of multi-environment trial data[J]. Agronomy Journal, 2002, 94(5): 990-996.
[5]	王磊, 闵佳鑫, 鄂志国. R语言及在农业试验数据分析中的基本应用(一)[J]. 中国稻米, 2021, 27(6):100-107.
[6]	王磊, 闵佳鑫, 申红芳, 等. R语言及在农业试验数据分析中的基本应用(二)[J]. 中国稻米, 2022, 28(1):95-102.
[7]	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):1805-1 819.
[8]	严威凯. 农作物品种试验数据管理与分析[M]. 北京: 中国农业科学技术出版社, 2015.
[9]	鲁月, 张子惠, 陆洲, 等. 基于AMMI模型和GGE双标图对江苏省甜玉米区域试验的分析[J]. 分子植物育种, 2022, 20(20):6939-6 946.
[10]	李燕, 林峰, 李潞潞, 等. 浙江省糯玉米品种稳定性、适应性和试点综合评价[J]. 浙江大学学报(农业与生命科学版), 2017, 43(3):281-288.
[11]	YAN W K, HOLLAND T B. A heritability-adjusted GGE biplot for test environment evaluation[J]. Euphytica, 2010, 171(3): 355-369.
[12]	张林, 周俊辉, 张德银, 等. GGE 双标图分析在糯高粱品种区域试验中的应用[J]. 天津农业科学, 2016, 22(12):68-73.
[13]	丁逸帆, 许明, 许如根, 等. 基于 GGE 双标图对江苏省大麦鉴定试验品种的高产稳产和适应性分析[J]. 扬州大学学报(农业与生命科学版), 2019, 40(3):22-26.

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Application of GGE-biplot Based on R Language to Regional Trial of Rice Varieties

基于R语言的GGE双标图在水稻品种区域试验中的应用

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