ADAPTABILITY AND STABILITY OF COWPEA GENOTYPES VIA REML/BLUP AND GGE BIPLOT

被引:6
作者
Antunes de Abreu, Hadassa Kathyuci [1 ]
Ceccon, Gessi [1 ]
Correa, Agenor Martinho [2 ]
Fachinelli, Ricardo [1 ]
Marques Yamamoto, Euriann Lopes [1 ]
Teodoro, Paulo Eduardo [3 ]
机构
[1] UFGD, Dourados, MS, Brazil
[2] Univ Estadual Mato Grosso do Sul UEMS, Aquidauana, MS, Brazil
[3] Univ Fed Mato Grosso do Sul UFMS, Chapadao Do Sul, MS, Brazil
来源
BIOSCIENCE JOURNAL | 2019年 / 35卷 / 04期
关键词
Vigna unguiculat; Genotypes x environments interaction; Multivariate analysis; Mixed models; SIMULTANEOUS SELECTION; CLONES; SITES;
D O I
10.14393/BJ-v35n4a2019-42125
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Several methodologies have been proposed in order to measure the influence that genotype-by-environment interaction exerts on the various characters of interest. The mixed models using REML/BLUP and GGE Biplot have been mentioned as advantageous to identify superior genotypes. The use of environmental information can be useful to find the factors that are in the real difference between the genotypes. The objective of this study was to compare statistical methodologies for the adaptability and stability analysis of cowpea genotypes in value for cultivation and use testings. The experiments were carried out from March to July 2016 and 2017, in the municipalities of Dourados and Aquidauana. A randomized complete block design was used, with 14 genotypes and four replicates, 12 advanced lines and two commercial cultivars. After detecting significant genotype-by-environment interaction, the adaptability and phenotypic stability of cowpea genotypes were analyzed by the GGE Biplot and REML/BLUP. Both methodologies were concordant in the identification of the best cowpea genotypes for the State of Mato Grosso do Sul. The genotypes 6 (Pingo-de-ouro 1-5-4), 10 (Pingo-de-ouro 1-5-10) and 8 (Pingo-de-ouro 1-5-7) are the most suitable to be grown in the State, because they have gathered high grain yield, adaptability and stability.
引用
收藏
页码:1071 / 1082
页数:12
相关论文
共 27 条
  • [1] [Anonymous], 2014, The R Foundation for Statistical Computing
  • [2] [Anonymous], 2014, GLOBAL ADV RES J AGR
  • [3] Bayesian approach increases accuracy when selecting cowpea genotypes with high adaptability and phenotypic stability
    Barroso, L. M. A.
    Teodoro, P. E.
    Nascimento, M.
    Torres, F. E.
    dos Santos, A.
    Correa, A. M.
    Sagrilo, E.
    Correa, C. C. G.
    Silva, F. A.
    Ceccon, G.
    [J]. GENETICS AND MOLECULAR RESEARCH, 2016, 15 (01)
  • [4] Cabral Maia Maria Clideana, 2009, Pesquisa Agropecuaria Tropical, V39, P43
  • [5] Discrimination of common bean cultivars using multiplexed microsatellite markers
    Cardoso, P. C. B.
    Brondani, C.
    Menezes, I. P. P.
    Valdisser, P. A. M. R.
    Borba, T. C. O.
    Del Peloso, M. J.
    Vianello, R. P.
    [J]. GENETICS AND MOLECULAR RESEARCH, 2014, 13 (01) : 1964 - 1978
  • [6] Cornelius P. L., 1996, P199
  • [7] Sites regression and shifted multiplicative model clustering of cultivar trial sites under heterogeneity of error variances
    Crossa, J
    Cornelius, PL
    [J]. CROP SCIENCE, 1997, 37 (02) : 406 - 415
  • [8] Cruz C.D., 2006, Modelos biometricos aplicados ao melhoramento genetico, V2
  • [9] Performance of Cowpea Genotypes in the Brazilian Midwest Using the Bayesian Additive Main Effects and Multiplicative Interaction Model
    de Oliveira, Luciano Antonio
    da Silva, Carlos Pereira
    Teodoro, Paulo Eduardo
    Torres, Francisco Eduardo
    Correa, Agenor Martinho
    Bhering, Leonardo Lopes
    [J]. AGRONOMY JOURNAL, 2018, 110 (01) : 147 - 154
  • [10] deMATTOS P. H. C., 2012, THESIS