基于不同统计模型和方法评价青贮玉米品种稳定性

doi:10.12190/j.issn.2096-1197.2025.01.05

Abstract

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

CLC Number:

S513

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.

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Evaluation of stability of silage maize varieties using different statistical models and method

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