Genotype - environment interaction for seed yield of maize hybrids and lines using the AMMI model

被引:0
|
作者
Bocianowski, Jan [1 ]
Nowosad, Kamila [2 ]
Tomkowiak, Agnieszka [3 ]
机构
[1] Poznan Univ Life Sci, Dept Math & Stat Methods, Wojska Polskiego 28, PL-60637 Poznan, Poland
[2] Wroclaw Univ Environm & Life Sci, Dept Genet Plant Breeding & Seed Prod, Grunwaldzki 24A, PL-53363 Wroclaw, Poland
[3] Poznan Univ Life Sci, Dept Genet & Plant Breeding, Wojska Polskiego 28, PL-60637 Poznan, Poland
来源
MAYDICA | 2019年 / 64卷 / 02期
关键词
adaptability; AMMI; biplot; maize; seed yield; stability; ZEA-MAYS L; SOIL TILLAGE METHODS; GENOMIC SELECTION; GRAIN-YIELD; STABILITY;
D O I
暂无
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
The objective of this study was to assess genotype by environment interaction for seed yield in maize hybrids and lines growing in Western Poland using the additive main effects and multiplicative interaction model (AMMI). The study comprised 32 maize genotypes (13 F-1 hybrids and their 19 parental lines), evaluated in four environments (two locations in two years). Seed yield ranged from 2.50 t/ha (S311 in Lagiewniki 2013) to 18.31 t/ha (Popis in Lagiewniki 2014), with an average of 8.41 t/ha. The Popis hybrid had the highest average seed yield (15.53 t/ha), and the S56125A line had the lowest (3.65 t/ha). The average seed yield per environments also varied from 6.60 t/ha in Lagiewniki 2013, to 9.95 t/ha in Smolice 2013. AMMI analyses revealed significant genotype (G) and environmental (E) effects as well as GE interaction effect with respect to seed yield. The analysis of variance explained 14.59% of the total seed yield variation by environment, 77.41% by differences between genotypes, 6.50% by GE interaction, and 1.50% by error. The Blask, Brda and Bejm hybrids are recommended for further inclusion in the breeding program because of their stability and high averages of seed yields.
引用
收藏
页数:8
相关论文
共 50 条
  • [21] Genotype-by-environment interaction for seed quality traits in interspecific cross-derived Brassica lines using additive main effects and multiplicative interaction model
    Jan Bocianowski
    Janetta Niemann
    Kamila Nowosad
    Euphytica, 2019, 215
  • [22] Genotype by Environment Interaction for Grain Yield in Spring Barley Using Additive Main Effects and Multiplicative Interaction Model
    Nowosad, K.
    Tratwal, A.
    Bocianowski, J.
    CEREAL RESEARCH COMMUNICATIONS, 2018, 46 (04) : 729 - 738
  • [23] Genotype by Environment Interaction for Grain Yield in Spring Barley Using Additive Main Effects and Multiplicative Interaction Model
    K. Nowosad
    A. Tratwal
    J. Bocianowski
    Cereal Research Communications, 2018, 46 : 729 - 738
  • [24] GENOTYPE BY ENVIRONMENT INTERACTION IN COWPEA LINES USING GGE BIPLOT METHOD
    Sousa, Massaine Bandeira E.
    Damasceno-Silva, Kaesel Jackson
    Rocha, Maurisrael De Moura
    Nogueira De Menezes Junior, Jose Angelo
    Lemos Lima, Laize Raphaelle
    REVISTA CAATINGA, 2018, 31 (01) : 64 - 71
  • [25] Genotype by environment interaction for grain yield in foxtail millet (Setarai italica) using AMMI model and GGE Biplot
    Zhang, Haiying
    Feng, Zhiwei
    Wang, Jin
    Yun, Xiaodong
    Qu, Fei
    Sun, Changqing
    Wang, Qian
    PLANT GROWTH REGULATION, 2023, 99 (01) : 101 - 112
  • [26] GENOTYPE BY ENVIRONMENT AND STABILITY ANALYSES OF DRYLAND MAIZE HYBRIDS
    Amzeri, A.
    Daryono, B. S.
    Syafii, M.
    SABRAO JOURNAL OF BREEDING AND GENETICS, 2020, 52 (04): : 355 - 368
  • [27] Genotype by environment interaction and stability analysis using AMMI and GGE-biplot models for yield of Arabica coffee genotypes in south Ethiopia
    Gebreselassie H.
    Tesfaye B.
    Gedebo A.
    Tolessa K.
    Journal of Crop Science and Biotechnology, 2024, 27 (1) : 65 - 77
  • [28] Interpretation of Genotype-by-Environment Interaction for Late Maize Hybrids' Grain Yield Using a Biplot Method
    Dehghani, Hamid
    Sabaghnia, Naser
    Moghaddam, Mohammad
    TURKISH JOURNAL OF AGRICULTURE AND FORESTRY, 2009, 33 (02) : 139 - 148
  • [29] Genotype by Environment Interaction Analysis in Summer Maize Hybrids for Grain Yield under Multi-Environment Trials in Huang-Huai-Hai Area, China
    Wang, Shaoqiang
    Jiang, Xuwen
    Wang, Shudong
    Bu, Junzhou
    Wei, Jianwei
    Chen, Shuping
    Peng, Haicheng
    Xie, Junliang
    Yue, Haiwang
    Li, Haishan
    INTERNATIONAL JOURNAL OF AGRICULTURE AND BIOLOGY, 2019, 22 (06) : 1573 - 1580
  • [30] EFFECTS OF GENOTYPE-BY-ENVIRONMENT INTERACTION ON THE MAIN AGRONOMIC TRAITS OF MAIZE HYBRIDS
    Yue, H. W.
    Wang, Y. B.
    Wei, J. W.
    Meng, Q. M.
    Yang, B. L.
    Chen, S. P.
    Xie, J. L.
    Peng, H. C.
    Jiang, X. W.
    APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, 2020, 18 (01): : 1437 - 1458