Analysis of stable yield and adaptability of buckwheat varieties based on AMMI model and GGE double label graph

doi:10.6048/j.issn.1001-4330.2024.09.009

Xinjiang Agricultural Sciences ›› 2024, Vol. 61 ›› Issue (9): 2152-2159.DOI: 10.6048/j.issn.1001-4330.2024.09.009

• Crop Genetics and Breeding·Germplasm Resources·Molecular Genetics·Cultivation Physiology·Physiology and Biochemistry • Previous Articles Next Articles

Analysis of stable yield and adaptability of buckwheat varieties based on AMMI model and GGE double label graph

CHANG Keqin(), DU Yanping, MU Lanhai, YANG Chongqing, CHEN Yixin

Guyuan Branch of Ningxia Academy of Agriculture and Forestry Sciences / Dry Farming Agricultural Engineering Technology Research Center of Ningxia,Guyuan Ningxia 756000, China

Received:2024-02-17 Online:2024-09-20 Published:2024-10-09
Correspondence author: CHANG Keqin
Supported by:
Avena sativa and Buckwheat Industry Technology System of the Ministry of Agriculture and Rural Affairs-Guyuan Comprehensive Experimental Station(CARS-07-G-15);Local Cooperation of Ningxia Academy of Agriculture and Forestry Sciences-Key Technology Integration and Light and Simple Cultivation Technology Demonstration of Yanchi Characteristic Industry(NNKZZCGZH-2021-04);Ningxia Science and Technology Key Project - Ningxia Small Coarse Grain Innovation Team(2020CXTDLX04)

基于AMMI模型和GGE双标图分析荞麦品种的稳产性及适应性

常克勤(), 杜燕萍, 穆兰海, 杨崇庆, 陈一鑫

宁夏农林科学院固原分院/宁夏旱作农业工程技术研究中心,宁夏固原 756000

通讯作者: 常克勤
作者简介:常克勤(1965-),男,宁夏固原人,研究员,研究方向为荞麦和燕麦作物新品种选育及栽培,(E-mail)nxgychkq@163.com
基金资助:
农业农村部国家燕麦荞麦产业技术体系-固原综合试验站(CARS-07-G-15);宁夏农林科学院院地合作-盐池特色产业关键技术集成及轻简栽培技术示范(NNKZZCGZH-2021-04);宁夏科技重点-宁夏小杂粮创新团队(2020CXTDLX04)

Abstract

Abstract:

【Objective】 Evaluate the high yield, stable yield, and ecological adaptability of new varieties of tartary buckwheat. 【Methods】 Through the analysis of experimental data from 5 varieties (lines) in 6 counties (districts), By combining the AMMI model with the GGE-Blilot software package of R language, principal component analysis was conducted on sweet buckwheat varieties from different climate zones in the southern mountainous areas of Ningxia for multiple years and the stability, adaptability, pilot representativeness were comprehensively evaluated. 【Results】 The buckwheat pilot area represented by Xiji County or Yuanzhou District in semi-arid areas and Haiyuan County in semi-arid areas prone to drought, and Yanchi County in the central arid zone was better. The new varieties of Guqiao 1 and Guqiao 3 had the best yield, stability, and ecological adaptability. 【Conclusion】 By combining the AMMI model analysis with production practice verification, the method is feasible, the results are reliable, and the validation is good.

Key words: sweet buckwheat crop varieties; AMMI model; GGE Biplot; stability and adaptability

摘要：

【目的】评价荞麦新品种的丰产性、稳产性和生态适应性。【方法】选择5个荞麦品种(系)在6县(区)点试验数据,基于AMMI模型和R语言的GGE-Biplot软件包相结合的方法,对宁夏南部山区不同气候区荞麦品种多年多点试验进行主成分分析,综合评价荞麦品种的丰产性、稳定性、适应性、代表性等。【结果】荞麦试点以半干旱区的西吉县或原州区、半干旱区易旱区的海原县、中部干旱带的盐池县代表性较好。固荞1号和固荞3号新品种的丰产性、稳定性和生态适应性最佳。【结论】以AMMI模型分析与大田生产验证相结合综合评价荞麦品种的稳定性方法可行,结果可靠,验证效果良好。

关键词: 荞麦, AMMI模型, GGE-Biplot, 稳定性与适应性

CLC Number:

S517

CHANG Keqin, DU Yanping, MU Lanhai, YANG Chongqing, CHEN Yixin. 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.

常克勤, 杜燕萍, 穆兰海, 杨崇庆, 陈一鑫. 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.

Figures/Tables 8

References 27

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试验点 Test points	代号 Code	降水量 Annual rainfall (mm)		平均气温 Annual temperature (℃)		气候类型区 Climate
试验点 Test points	代号 Code	年均值	生育期	年均值	生育期	气候类型区 Climate
原州区Yuanzhou District	E₁	450.0	353.0	6.2	18.5	半干旱区
西吉县Xiji County	E₂	416.6	279.2	5.9	16.7
彭阳县Pengyang County	E₃	418.3	297.5	7.2	19.4
海原县Haiyuan County	E₄	350.0	331.8	7.1	18.7	半干旱易旱区
同心县Tongxin County	E₅	215.1	189.8	8.6	22.0	干旱带
盐池县Yanchi County	E₆	255.6	222.9	8.6	21.3	干旱带

试验点 Test points	代号 Code	降水量 Annual rainfall (mm)		平均气温 Annual temperature (℃)		气候类型区 Climate
试验点 Test points	代号 Code	年均值	生育期	年均值	生育期	气候类型区 Climate
原州区Yuanzhou District	E₁	450.0	353.0	6.2	18.5	半干旱区
西吉县Xiji County	E₂	416.6	279.2	5.9	16.7
彭阳县Pengyang County	E₃	418.3	297.5	7.2	19.4
海原县Haiyuan County	E₄	350.0	331.8	7.1	18.7	半干旱易旱区
同心县Tongxin County	E₅	215.1	189.8	8.6	22.0	干旱带
盐池县Yanchi County	E₆	255.6	222.9	8.6	21.3	干旱带

变异来源 The source of the mutation	自由度 Degrees of freedom (Df)	平方和 Sum of square (SS)	均方 Mean square (MS)	F值 F-value	占总变异比例 Proportion in the total (SS)
总变异Total variance	269	146 247 216.30	543 669.95
处理Treatment	29	17 397 882.96	599 927.00	1.12
基因型Genotype	4	6 620 101.48	1 655 025.37	3.08	38.1
环境Environment	5	8 015 794.07	1 603 158.81	2.99	46.1
基因型×环境Genotype × Environment	20	2 761 987.41	138 099.37	0.26	15.9
PCA₁	8	2 260 898.53	282 612.32	19.06^**	81.9
PCA₂	6	3 30 476.19	55 079.36	3.71^**	12.0
PCA₃	4	140 955.99	35 239.00	2.38^*	5.1
残差Residual	2	29 656.69	14 828.35

变异来源 The source of the mutation	自由度 Degrees of freedom (Df)	平方和 Sum of square (SS)	均方 Mean square (MS)	F值 F-value	占总变异比例 Proportion in the total (SS)
总变异Total variance	269	146 247 216.30	543 669.95
处理Treatment	29	17 397 882.96	599 927.00	1.12
基因型Genotype	4	6 620 101.48	1 655 025.37	3.08	38.1
环境Environment	5	8 015 794.07	1 603 158.81	2.99	46.1
基因型×环境Genotype × Environment	20	2 761 987.41	138 099.37	0.26	15.9
PCA₁	8	2 260 898.53	282 612.32	19.06^**	81.9
PCA₂	6	3 30 476.19	55 079.36	3.71^**	12.0
PCA₃	4	140 955.99	35 239.00	2.38^*	5.1
残差Residual	2	29 656.69	14 828.35

品种 Varieties	平均产量 Average production (kg/hm²)	位次 Order of seats	互作主成分 Reciprocal principal component			稳定性参数 Stability parameters Dg	位次 Order of seats
品种 Varieties	平均产量 Average production (kg/hm²)	位次 Order of seats	PCA₁	PCA₂	PCA₃	稳定性参数 Stability parameters Dg	位次 Order of seats
固荞1号Guqiao 1	1 656.3	2	-0.32	0.53	7.95	7.97	1
固原红花荞Guyuanhonghuaqiao	1 276.3	5	-13.49	-4.02	-3.06	14.41	5
定荞3号Dingqiao 3	1 620.9	3	11.29	-6.53	-2.26	13.23	4
固荞3号Guqiao 3	1 719.6	1	3.80	9.43	-3.03	10.61	2
信农1号Xinnong 1	1 498.3	4	-12.27	-1.42	-4.60	13.19	3

Analysis of stable yield and adaptability of buckwheat varieties based on AMMI model and GGE double label graph

基于AMMI模型和GGE双标图分析荞麦品种的稳产性及适应性

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品种 Varieties		半干旱区 Semiarid region		半干旱区易旱区 Semiarid and drought prone areas		中部干旱带 Central arid zone		宁南山区6县(区) 6 counties in the southern mountainous areas of Ningxia
品种 Varieties		平均产量 (kg/hm²)	增产 (%)	平均产量 (kg/hm²)	增产 (%)	平均产量 (kg/hm²)	增产 (%)	平均产量 (kg/hm²)	增产 (%)	排名	稳定性排名
AMMI模型 AMMI model	固荞1号 Guqiao 1	1 623	9.3	1 707	13.9	1 681	10.8	1 656	10.5	2	1
	固荞3号 Guqiao 3	1 681	13.2	1 873	25.0	1 700	12.0	1 720	14.8	1	2
	平均值 Average value	1 652	11.2	1 790	19.4	1 691	11.4	1 688	12.7
	信农1号 Xinnong 1	1 485		1 499		1518		1498
生产示范 Demonstration	固荞1号、固荞3号 Guqiao 1、3	1 687	13.7	1 484	10.0	1 038	8.5
生产示范 Demonstration	信农1号 Xinnong 1	1 484		1 349		957