基于不同统计模型和方法评价青贮玉米品种稳定性

摘要/Abstract

参考文献

Metrics

doi:10.12190/j.issn.2096-1197.2025.01.05

摘要： 【目的】客观评价青贮玉米品种的丰产性、稳定性和适应性,为青贮玉米品种的推广提供参考。【方法】采用Shukla模型、Eberhart-Russell模型、AMMI模型以及RSD法,2022年于四川省宜宾市、乐山市、绵阳市等9个不同生态环境对9个青贮玉米品种（成单623、凉2020、成青3211、川单2110、乐1999、成单768、绵单968、南W3465、雅玉青贮8号）的生物干重进行综合分析。【结果】凉2020、成单623生物干重较高,分别为17 007.75 、16 664.55 kg/hm²,较雅玉青贮8号（CK）分别增产11.39%、9.14%;G×E互作Shukla方差较小,为5 332.98、2 520.75;RSD值较小,RSD_G2=0.130 1、RSD_G1=0.114 5;反应参数均小于1,b_G1=0.919 1、b_G2=0.951 9;稳定性参数S²_di与试验误差差异不显著（P>0.05）;稳定性参数D_i值低,D_G1=7.39、D_G2=10.12。由各试验点环境指数可知,达州试验点最高,I_E9=275.96;其次为南充点,I_E4=253.76,对品种表现最为有利;巴中试验点鉴别力最强,D_E5为17.74,雅安试验点鉴别力最弱,D_E9为1.84。【结论】凉2020和成单623是高产、稳产、适应性广的青贮玉米品种,可推广应用。巴中试验点适合选择高产、稳产的青贮玉米品种;雅安试验点鉴别力较弱,不适于选择优质青贮玉米品种。

关键词: 青贮玉米, 生物干重, 稳定性, 统计模型和方法

Abstract: 【Objective】To objectively evaluate the high yield,stability,and adaptability of silage maize varieties,and provide reference for the promotion of silage maize varieties.【Methods】Shukla model,Eberhart Russell model,AMMI model,and RSD method were used to comprehensively analyze the biological dry weight of 9 silage maize varieties（Chengdan 623,Liang 2020,Chengqing 3211,Chuandan 2110,Le1999,Chengdan 768,Miandan 968,NanW3465,Yayu silage No. 8） in 9 different ecological environments including Yibin City,Leshan City,and Mianyang City in Sichuan Province in 2022.【Results】Liang 2020 and Chengdan 623 had relatively high biological dry weight,with 17 007.75 and 16 664.55 kg/hm²,which were 11.39% and 9.14% increased compared to Yayu silage No. 8（CK）. The Shukla variance of genotype and environment interaction（G×E） was small,with values of 5 332.98 and 2 520.75. The RSD value was small,RSD_G2=0.130 1 and RSD_G1=0.114 5. The reaction parameters were all less than 1,with b_G1=0.919 1 and b_G2=0.951 9. There was no significant difference（P>0.05） between the stability parameter S²_di and the experimental error;the stability parameter D_i value was low,with D_G1=7.39 and D_G2=10.12. From the environmental index of each test site,it could be seen that Dazhou test site had the highest with I_E9=275.96,followed by Nanchong test site with I_E4=253.76,which was the most favorable for variety performance. The maximum discriminant power D_E5 of each test site was 17.74,and the minimum was 1.84,indicating that the Bazhong test site had the strongest discriminant power,while the Ya′an test site had the weakest discriminant power.【Conclusion】Liang 2020 and Chengdan 623 are high yield,stable,and widely adaptable silage maize varieties that can be widely promoted and applied.Bazhong test site is suitable for efficiently selecting high-yield and stable silage maize varieties,while Ya′an test site has weak discernment and is not suitable for efficiently selecting high-quality silage maize varieties.

Key words: Silage maize, Biological dry weight, Stability, Statistical models and method

中图分类号:

S513

魏翠霞, 李锐, 文刚, 郭威, 冯傲智, 苟才明. 基于不同统计模型和方法评价青贮玉米品种稳定性[J]. 北方农业学报, 2025, 53(1): 38-47.

WEI Cuixia, LI Rui, WEN Gang, GUO Wei, FENG Aozhi, GOU Caiming. Evaluation of stability of silage maize varieties using different statistical models and method[J]. Journal of Northern Agriculture, 2025, 53(1): 38-47.

[1] 王丽. 发展青贮玉米促进农业增收[J].中国饲料,2020(14):126-129.
[2] 库丽孜亚·哈力别克.青贮玉米种植与管理技术探析[J].世界热带农业信息,2021(11):11-12.
[3] 冯勇,赵瑞霞,苏二虎,等.优质高效青贮玉米品种选育途径与方法的探讨[J].内蒙古农业科技,2002,30(S1):32-35.
[4] 成广雷,邱军,王晓光,等.我国青贮玉米组合(品种)的农艺性状、生物产量和品质变化[J].中国农业科技导报,2022,24(4):30-37.
[5] 陈就就. 玉米区域试验分析模型与方法的研究[D].杨凌:西北农林科技大学,2012.
[6] 高杰. 不同玉米品种的适应性分析[D].杨凌:西北农林科技大学,2015.
[7] 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.
[8] 周丙月,袁剑龙,张玉梅,等.马铃薯品种(系)农艺性状的适应性和稳定性分析[J].核农学报,2023,37(2):274-289.
[9] 胡希远,尤海磊,宋喜芳,等.作物品种稳定性分析不同模型的比较[J].麦类作物学报,2009,29(1):110-117.
[10] 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.
[11] MOUSAVI S M N,ILLÉS A,SZABÓ A,et al.Stability yield indices on different sweet corn hybrids based on AMMI analysis[J].Brazilian Journal of Biology,2023,84:e270680.
[12] MA C,LIU C,YE Z.Influence of genotype × environment interaction on yield stability of maize hybrids with AMMI model and GGE biplot[J].Agronomy-Basel,2024,14(5):16.
[13] MENDES F F,GUIMARÃES L J M,SOUZA J C,et al.Adaptability and stability of maize varieties using mixed model methodology[J].Crop Breeding and Applied Biotechnology,2012,12(2):111-117.
[14] KUMAR P,KARGAGI C G,KUMAR B,et al.GGE biplot based stability analysis of experimental hybrids for baby corn purpose and green fodder[J].Range Management and Agroforestry,2020,41(1):60-66.
[15] 吴园,易婧.基于知识图谱的我国青贮玉米研究领域可视化分析[J].玉米科学,2021,29(1):184-190.
[16] 梁小玉,付茂忠,王淮,等.成都市青贮玉米品种筛选研究[J].草业科学,2009,26(4):79-82.
[17] 石瑞荣,李素霞,王颖,等.全株青贮玉米推广现状与思考[J].现代化农业,2022(11):26-28.
[18] 刘辉,张淑芳,许显鑫,等.干旱条件下春小麦产量稳定性分析[J].陕西农业科学,2019,65(6):44-47.
[19] 罗学芳,苟才明.Eberhart和Russell模型在玉米区域试验中的应用[J].西南农业学报,2010,23(2):602-604.
[20] 张体德,张海洋,郑永战,等.AMMI模型在芝麻区域试验中的应用[J].中国油料作物学报,2003,25(4):52-55.
[21] 谭春燕,李振动,朱星陶,等.AMMI模型在贵州大豆品种区域试验中的应用[J].贵州农业科学,2019,47(7):10-13.
[22] 李本贵,阎俊,何中虎,等.用AMMI模型分析作物区域试验中的地点鉴别力[J].作物学报,2004,30(6):593-596.
[23] 税红霞,王秀全,张华,等.基于高稳系数法的鲜食甜玉米品种高产稳产性分析[J].安徽农学通报,2017,23(10):41-43.
[24] 黄泽栋,谢和霞,覃兰秋,等.应用AMMI模型分析广西普通玉米区试品种的稳定性[J].广西农业科学,2010,41(9):877-881.
[25] 刘艳侠,侯珺,郭振升,等.夏玉米杂交种主要数量性状的稳定性与产量稳定性的关系分析[J].河南农业科学,2015,44(7):36-38.

Just accepted

Online first

Just accepted

Online first

Viewed

Full text

From	Others	local

Times	1	47
Rate	2%	98%

Abstract

Just accepted	Online first	Issue

0	0	54

	From	local

	Times	55
	Rate	100%

Cited

Web of Science	Crossref	ScienceDirect	Search for Citations in Google Scholar >>


This page requires you have already subscribed to WoS.

Shared