Comprehensive Evaluation of Regional Trials of Rice in Henan Province Based on AMMI Model and GGE Biplot

doi:10.15933/j.cnki.1004-3268.2026.02.002

Abstract

Abstract: To effectively evaluate the regional trials of rice in Henan Province and identify new rice varieties with high yield，stable yield，and strong adaptability as well as suitable trial sites，the AMMI model and GGE biplot were used to conduct a comprehensive analysis of the yield productivity，yield stability，and adaptability of the tested rice varieties participating in the 2022—2023 Henan Provincial Regional Rice Trials（13 varieties in 2022 and 14 varieties in 2023）in 10 trial sites. Additionally，the discriminative ability and representativeness of different trial sites were compared to screen out ideal varieties and trial sites. The results demonstrated that rice yield was significantly influenced by genotype（G），environment（E），and their interaction（G×E）.The AMMI model explained 79.87% and 87.38% of the G×E interaction effect in two years.AMMI model analysis revealed that among the 2022 tested varieties，Yuandao 26，Zhengdao 25，and Yudao 27 exhibited better yield performance and stability；while in 2023，Bianjing 5，Yudao 27，and Zhengdao 27 showed better yield performance and stability.Yuanyang site in Xinxiang City，Tongbai site in Nanyang City，and Xiangfu site in Kaifegn City had better discriminative ability in 2022，and Xiangfu site in Kaifegn City，Fanxian site in Puyang City，Shihe site in Xinyang City，and Yuanyang site in Xinxiang City demonstrated better discriminative ability in 2023.GGE biplot analysis revealed that the varieties with better yield productivity and stability in 2022 and 2023 were Yuandao 26，Zhengdao 25，Yudao 27 and Bianjing 5，Zhengdao 27，Yudao 28，respectively.The varieties with the widest adaptability were Xinfeng 26 and Puzajing 1，while the trial sites with better discriminative ability and representativeness were Xiangfu site in Kaifegn City，Jinshui site in Zhengzhou City，and Yuanyang site in Xinxiang City. In conclusion，the rice varieties with better yield performance and stability are Yuandao 26，Zhengdao 25，Yudao 27，Bianjing 5，and Zhengdao 27；the trial sites with stronger discriminative ability and representativeness are Xiangfu site in Kaifegn City and Yuanyang site in Xinxiang City.

Key words: Rice, AMMI model, GGE biplot, Regional trial, Genotype?environment interaction

摘要： 为有效评价河南省水稻区域试验，评估出兼具高产、稳产、强适应性的水稻新品种及适宜的试点，利用AMMI模型和GGE双标图对2022—2023年河南省水稻区域试验参试品种（2022年13个参试品种，2023年14个参试品种）在10个试验点的丰产性、稳产性、适应性进行综合分析，比较不同试点的区分力和代表性，筛选出适宜种植品种和理想试点。结果表明，2022—2023年，参试水稻品种的产量受基因型、环境以及两者互作极显著影响。2 a，AMMI模型分别解释了79.87%和87.38%的基因型与环境的互作效应。AMMI模型分析发现，2022年参试品种原稻26、郑稻25、豫稻27丰产性、稳产性较好，2023年参试品种汴粳5号、豫稻27、郑稻27丰产性、稳产性较好；2022年试点新乡市原阳县、南阳市桐柏县、开封市祥符区的区分力较强，2023年试点开封市祥符区、濮阳市范县、信阳市浉河区、新乡市原阳县的区分力较强。GGE双标图分析发现，2022年和2023年丰产性和稳产性较好的品种分别是原稻26、郑稻25、豫稻27和汴粳5号、郑稻27、豫稻28，适应性最广的品种分别是新丰26和濮杂粳1号，区分力和代表性较好的试点是开封市祥符区、郑州市金水区、新乡市原阳县。综上，丰产性和稳产性较好的品种是原稻26、郑稻25、豫稻27、汴粳5号、郑稻27，区分力和代表性较强的试点是开封市祥符区、新乡市原阳县。

关键词: 水稻, AMMI模型, GGE双标图, 区域试验, 基因型与环境互作

CLC Number:

S511

YANG Yang, LI Yadong, FU Jing, ZHOU Chengjie, GUO Junhong, LIU Haijing. Comprehensive Evaluation of Regional Trials of Rice in Henan Province Based on AMMI Model and GGE Biplot[J]. Journal of Henan Agricultural Sciences, 2026, 55(2): 12-20.

杨阳, 李亚东, 付景, 周成杰, 郭俊红, 刘海静. 基于AMMI 模型和GGE 双标图的河南省水稻区域试验综合评价[J]. 河南农业科学, 2026, 55(2): 12-20.

Figures/Tables 7

References

［1］刘海静. 河南省水稻种业发展形势及建议［J］. 中国种业，2025（4）：10‑13.

LIU H J. Development situation and suggestions for rice seed industry in Henan Province［J］. China Seed Industry，2025（4）：10‑13.

［2］徐超峰，王茹茵，张艳芳，等. 基于AMMI模型和GGE双标图的周糯7号丰产稳产及适应性分析［J］. 种子，2025，44（7）：161‑169.

XU C F，WANG R Y，ZHANG Y F，et al. Analysis of high and stable yield and adaptability of Zhounuo No.7 based on AMMI model and GGE double label graph［J］. Seed，2025，44（7）：161‑169.

［3］许卫猛，邢永锋，周庆伟，等. 黄淮海玉米品种丰产性、稳产性和适应性分析［J］. 分子植物育种，2025，23（8）：2626‑2633.

XU W M，XING Y F，ZHOU Q W，et al. Analysis on high yield，stable yield and adaptability of maize varieties in Huang‑Huai‑Hai Region［J］. Molecular Plant Breeding，2025，23（8）：2626‑2633.

［4］丁勇，宋淼，张留声，等. 河南省不同生态区玉米品种密度效应及稳产适应性分析［J］. 南方农业学报，2025，56 （5）：1589‑1602.

DING Y，SONG M，ZHANG L S，et al. Density effect and yield stability adaptability of maize varieties in different ecological regions of Henan［J］. Journal of Southern Agriculture，2025，56（5）：1589‑1602.

［5］王汉霞，高新欢，马巧云，等. 北部冬麦区小麦品种丰产稳产性与试验环境评价［J］.中国生态农业学报（中英文），2025，33（6）：1117‑1127.

WANG H X，GAO X H，MA Q Y，et al. Evaluation of high‑yield stability and testing environments for wheat variety trials in the northern winter wheat region［J］.Chinese Journal of Eco‑Agriculture，2025，33（6）：1117‑1127.

［6］王春生，赵准，夏建强，等. 西北春麦区试品种稳定性及适应性综合评价［J］.种子，2025，44（3）：142‑153.

WANG C S，ZHAO Z，XIA J Q，et al. Comprehensive evaluation of stability and adaptability of northwest spring wheat varieties in the regional trial［J］. Seed，2025，44（3）：142‑153.

［7］曹元元，丁逸帆，左示敏，等. 基于GGE双标图和AMMI 模型对江苏省水稻区试品种的丰产性和稳定性分析［J］. 种子，2021，40（6）：38‑43.

CAO Y Y，DING Y F，ZUO S M，et al. Analysis of yielding ability and stability of rice varieties tested in Jiangsu Province based on GGE biplot and AMMI model［J］.Seed，2021，40（6）：38‑43.

［8］李雪，丁逸帆，左示敏，等. 基于AMMI模型和GGE双标图对2018年江苏省水稻杂交中粳品种区域试验结果的评价分析［J］. 杂交水稻，2021，36（3）：96‑102.

LI X，DING Y F，ZUO S M，et al. Evaluation and analysis of the results from the regional trial of medium japonica hybrid rice of Jiangsu Province in 2018 based on the AMMI model and GGE biplot［J］. Hybrid Rice，2021，36（3）：96‑102.

［9］王磊，程本义，鄂志国，等. 基于GGE双标图的水稻区试品种丰产性、稳产性和适应性评价［J］. 中国水稻科学，2015，29（4）：408‑416.
WANG L，CHENG B Y，E Z G，et al. Use of GGE biplots in the yielding ability，stability and adaptation evaluation for the varieties in the rice regional trials［J］. Chinese Journal of Rice Science，2015，29（4）：408‑416.

［10］李江涛，韩占府，岳振国，等. 基于AMMI模型和GGE双标图的濮豆820丰产稳产性及适应性分析［J］. 种子，2025，44（9）：137‑144.
LI J T，HAN Z F，YUE Z G，et al. Analysis of the high‑yield，stable yield and adaptability of Pudou820 based on the AMMI model and GGE biplot［J］. Seed，2025，44（9）：137‑144.

［11］王淑君，邢璐. 基于BLUP和GGE双标图的谷子区域试验分析［J］. 河南农业科学，2025，54（8）：51‑59.
WANG S J，XING L. Analysis of foxtail millet regional trials based on BLUP and GGE biplot［J］. Journal of Henan Agricultural Sciences，2025，54（8）：51‑59.

［12］马汉云，王青林，扶定，等. 应用AMMI模型研究河南水稻区域试验点对品种判断能力的影响［J］. 中国稻米，2012，18（6）：42‑44.
MA H Y，WANG Q L，FU D，et al. Study on the influence of Henan rice regional test sites on variety judgment ability using the AMMI model［J］. China Rice，2012，18（6）：42‑44.

［13］张泽，鲁成，向仲怀. 基于AMMI模型的品种稳定性分析［J］. 作物学报，1998，24（3）：304‑309.
ZHANG Z，LU C，XIANG Z H. Analysis of variety stability based on AMMI model［J］. Acta Agronomica Sinica，1998，24（3）：304‑309.

［14］常克勤，杜燕萍，穆兰海，等. 基于AMMI模型和GGE双标图分析荞麦品种的稳产性及适应性［J］. 新疆农业科学，2024，61（9）：2152‑2159.
CHANG K Q，DU Y P，MU L H，et al. Analysis of stable yield and adaptability of buckwheat varieties based on AMMI model and GGE double label graph［J］. Xinjiang Agricultural Sciences，2024，61（9）：2152‑2159.

［15］贺宏，李晋，谭秋怡，等. 基于AMMI模型和GGE双标图对青稞区域试验进行综合评价［J］. 草业学报，2025，34（9）：111‑120.
HE H，LI J，TAN Q Y，et al. Comprehensive evaluation of regional trials for hulless barley based on AMMI model and GGE biplot［J］. Acta Prataculturae Sinica，2025，34（9）：111‑120.

［16］步清，鲁月，郝德荣，等. AMMI模型和GGE双标图在江苏省糯玉米品种区域试验中的应用［J］. 分子植物育种，2022，20（22）：7628‑7636.
BU Q，LU Y，HAO D R，et al. Application of AMMI model and GGE biplot in regional trials of waxy maize cultivars in Jiangsu Province［J］. Molecular Plant Breeding，2022，20（22）：7628‑7636.

［17］徐东阳，郭瑶晴，胡敏杰，等. 基于AMMI模型和GGE双标图对芝麻新品种周芝11号的综合评价［J］. 种子，2024，43（9）：71‑77.
XU D Y，GUO Y Q，HU M J，et al. Comprehensive evaluation of a new sesame variety Zhouzhi11 based on the AMMI model and GGE biplot［J］. Seed，2024，43（9）：71‑77.

［18］刘志芳，王广才，刘兵兵，等. 基于AMMI模型和GGE双标图的河北省冬小麦品系稳定性及适应性分析［J］. 东北农业科学，2023，48（3）：26‑32.
LIU Z F，WANG G C，LIU B B，et al. AMMI and GGE biplot analysis of yield performance and adaptability of winter wheat varieties in regional trials of Hebei Province ［J］. Journal of Northeast Agricultural Sciences，2023，48（3）：26‑32.

［19］柳赛花，纪雄辉，谢运河，等. 基于GGE双标图和BLUP 分析筛选镉砷同步低累积水稻品种［J］. 生态环境学报，2021，30（2）：405‑411.
LIU S H，JI X H，XIE Y H，et al. Screening of cadmium and arsenic synchronous low‑accumulating rice cultivars based on GGE double plot and BLUP analysis［J］. Ecology and Environmental Sciences，2021，30（2）：405‑411.

［20］朱艳彬，樊晓琴，吉闻天，等. 基于AMMI模型和GGE双标图的西北春玉米品种区域试验综合评价［J］. 中国农业大学学报，2023，28（12）：15‑24.
ZHU Y B，FAN X Q，JI W T，et al. Comprehensive evaluation of regional trials for the spring maize hybrids in Northwest China based on AMMI model and GGE biplot［J］. Journal of China Agricultural University，2023，28（12）：15‑24.

［21］张恺东，张凡巧，董博，等. 基于R语言的AMMI模型和GGE双标图在大豆区试中的应用评价［J］. 中国农学通报，2024，40（13）：140‑145.
ZHANG K D，ZHANG F Q，DONG B，et al.Application evaluation of AMMI model and GGE biplot based on R language in soybean regional test［J］. Chinese Agricultural Science Bulletin，2024，40 （13）：140‑145.

［22］刘卫星，贺群岭，张枫叶，等. 大粒花生品种区域试验的AMMI模型分析［J］. 作物杂志，2020（2）：60‑64.
LIU W X，HE Q L，ZHANG F Y，et al. AMMI model analysis of regional test of large peanut varieties［J］.Crops，2020（2）：60‑64.

［23］龚锡震，柏光晓，任洪，等. 基于AMMI模型对青贮玉米区域试验稳定性和适应性分析［J］. 种子，2019，38（4）：110‑113.
GONG X Z，BAI G X，REN H，et al. Stability and adaptability analysis of silage maize regional test based on AMMI model［J］. Seed，2019，38（4）：110‑113.

［24］闫雷，邹莹，沈艳芬，等. 利用不同分析模型评价湖北省马铃薯品种比较试验［J］. 江苏农业科学，2022，50（23）：96‑101.
YAN L，ZOU Y，SHEN Y F，et al. Evaluation of potato varieties comparison experiments in Hubei Province with different analytical models ［J］. Jiangsu Agricultural Sciences，2022，50（23）：96‑101.

［25］唐义，刘建新，李清超，等. 基于GGE双标图的玉米丰产稳产及适应性研究［J］. 中国农学通报，2024，40（18）：9‑13.
TANG Y，LIU J X，LI Q C，et al. Study on yielding ability，stability and adaptability in maize based on GGE‑biplo［t J］. Chinese Agricultural Science Bulletin，2024，40（18）：9‑13.

[1]	LI Xinyi, WANG Zuoqian, GUO Chenchen, XU Ting, CHANG Xiangqian, CAI Xuan, YANG Xiaolin, ZHANG Shu, LÜ Liang, DENG Qingchao. Reduction and Synergistic Effect of Seven Adjuvants on the Control of Rice False Smut by Tebuconazole [J]. Journal of Henan Agricultural Sciences, 2026, 55(2): 89-97.
[2]	JIANG Xun, LIU Wei, ZHANG Dahong, YOU Hao, FU Bin, LI Yanli, LU Bilin. Monitoring of Direct‑seeded Rice SPAD values Based on UAV Remote Sensing Technology [J]. Journal of Henan Agricultural Sciences, 2025, 54(9): 149-158.
[3]	GOU Ruili, SHE Yangmengfei, FANG Jingying, TIAN Haotian, MA Guolin, TIAN Lei, LUO Chengke. Differences in Physiological and Molecular Responses of Different Saline‑Alkali Tolerant Types of Rice Roots to Saline‑Alkali Stress [J]. Journal of Henan Agricultural Sciences, 2025, 54(9): 34-42.
[4]	CHENG Zhouqi, LIU Yuwu, ZHUO Le, QIU Lin, YI Zhenxie. Effects of Nitrogen‑Silicon Combined Application on Rice Planthopper Occurrence and Rice Yield in Double‑Cropping Rice Field [J]. Journal of Henan Agricultural Sciences, 2025, 54(8): 92-101.
[5]	WANG Shujun, XING Lu. Analysis of Foxtail Millet Regional Trials Based on BLUP and GGE Biplot [J]. Journal of Henan Agricultural Sciences, 2025, 54(8): 51-59.
[6]	DUAN Kairong, RAN Jie, SONG Jiawei, QIAO Chengbin, KONG Weiru, DONG Yue, LIU Songrui, ZHANG Bi, XU Hao, MA Donghua, LI Peifu, LUO Chengke, TIAN Lei. Effects of Saline‑Alkali Stress on Vegetative and Reproductive Growth of Japonica Rice Germplasm Resource [J]. Journal of Henan Agricultural Sciences, 2025, 54(8): 26-37.
[7]	LIU Yuwu, ZHUO Le, CHENG Zhouqi, QIU Lin, LI Youzhi, TU Naimei, YI Zhenxie. Effects of Water Management Method on Yield and Rice Planthopper Occurrence of Double‑Cropping Rice [J]. Journal of Henan Agricultural Sciences, 2025, 54(7): 98-106.
[8]	LIU Qiuyuan, GONG Jingyang, WEI Yunfei, LI Meng, JI Xin, LIU Juan, FENG Fan, WANG Fujuan, LEI Zhenshan, SONG Xiaohua. Effects of Plant Spacing and Seedling Number per Hill Configurations on Panicle Traits，Yield and Quality of Japonica Rice [J]. Journal of Henan Agricultural Sciences, 2025, 54(7): 21-29.
[9]	HUANG Shipeng, HE Huqiang, LI Guangzhao, CHEN Chuanxin, ZHONG Tuo, XIE Jianbo, ZHOU Xiangwan, WANG Dan, XIAO Yinghui. Genome‑wide Association Analysis and Candidate Gene Prediction for Rice Drought Tolerance at Seedling Stage [J]. Journal of Henan Agricultural Sciences, 2025, 54(7): 12-20.
[10]	BAI Chenghan, JI Linshuang, WANG Siwen, LIU Liang, MA Wei, LIU Xiaoliang, YANG Yongzhi, SUN Yi’nan, GUO Wanqing, LIN Zhe, HOU Linhan, PIAO Jin, HOU Ligang. Effects of Water Regulation during Panicle Initiation Stage on Photosynthetic Characters and Yield of Rice under Straw Returning [J]. Journal of Henan Agricultural Sciences, 2025, 54(5): 31-40.
[11]	WANG Yingying, DUAN Liangxia, ZHAO Yining, SUN Guangrui, YANG Lihong, ZHOU Qing, XIE Hongxia. Identification of Rice in Southern Mountainous Area Based on Object‐Oriented and Machine Learning Methods [J]. Journal of Henan Agricultural Sciences, 2025, 54(4): 144-154.
[12]	CAI Yumeng, WANG Ying, HE Fei, LIU Yanqing, LIU Jingyan, GUO Yanli, SUN Yue, SU Jingping, WANG Shengjun, LI Junling. Cloning and Function Analysis of Rice Sucrose Transporter OsSUT4 Gene [J]. Journal of Henan Agricultural Sciences, 2025, 54(3): 1-7.
[13]	LIU Haolin, SHEN Wenjuan, GAO Yu, QI Jingyi, LIU Hairui, GUAN Ruijie, MA Yu, ZHANG Tianchang, ZHANG Yinxia. Distribution of Rice Blast Resistance Genes Pita and Pikm in Japonica Rice Germplasm Resources and Their Relationship with Rice Blast Resistance [J]. Journal of Henan Agricultural Sciences, 2025, 54(2): 10-20.
[14]	DUAN Kairong, DONG Yue, WANG Jingwen, LIU Chang, LIU Songrui, NIAN Hua, TIAN Lei. Effects of GS3 Gene Haplotypes on Japonica Rice Panicle and Grain Traits under Different Alkaline Conditions [J]. Journal of Henan Agricultural Sciences, 2025, 54(12): 23-31.
[15]	LI Lingzi, JI Changli, LIU Ye, FU Mingfang, LI Zongrun, TONG Jundan, CHEN Qiuyuan, ZHANG Jing, ZHAO Yafan, WANG Daoli, PENG Ting. Effects of Mixed Ensiling of Rice with Sorghum‑Sudangrass Hybrid on Forage Nutritional Quality and Microbial Community [J]. Journal of Henan Agricultural Sciences, 2024, 53(9): 132-140.