• Reference :1

    Burgueno, J., Crossa, J., Cornelius,  P.L., Trethowan, R., McLaren, G., Krishnamachari, A., 2007. Modeling additive× environment and additive×additive× environment using genetic covariances of relatives of wheat genotypes.  Crop Science 47, 311–320.

    Burgueno, J., Crossa, J., Cotes, J.M., Vicente, F.S., Das, B.,  2011. Prediction assessment of linear mixed models for multi environment  trials.  Crop Science 51, 944–954.

    Crespo-Herrera, L.A., Crossa, J., Huerta-Espino, J., Autrique, E., Mondal, S., Velu, G., 2017. Genetic yield gains in CIMMYT’s International Elite Spring Wheat Yield Trials by modeling the genotype×environment interaction. Crop Science 57,789–801.

    Crossa, J., Burgueno, J., Cornelius, P.L., McLaren, G., Trethowan, R.,Krishnamachari, A., 2006. Modeling genotype×environment interaction using additive genetic covariances of relatives for predicting breeding values of wheat genotypes. Crop Science46, 1722–1733.

    Crossa, J., Yang, R.C., Cornelius, P.L., 2004. Studying crossover genotype×environment interaction using linear-bilinear models and mixed models. Journal of Agricultural, Biological and Environmental Statistics 9, 362–380.

    Cullis, B.R., Jefferson, P., Thompson, R., Smith, A.B., 2014. Factor analytic and reduced animal models for the investigation of additive genotype by environment interaction in outcrossing plant species with application to a pinusradiata breeding program. Theoretical and Applied Genetics 127, 2193−2210.

    Friesen, L.F., Brule-Babel, A.L., Crow, G.H., Rothenburger, P.A., 2016. Mixed model and stability analysis of spring wheat genotype yield evaluation data from Manitoba, Canada. Canadian Journal of Plant Science 96(2), 305–320.

    Gogel, B.J., Smith, A.B. and Cullis, B.R. 2018. Comparison of a one and two-stage mixed model analysis of Australia’s National Variety Trial Southern Region wheat data. Euphytica 214(2), 44−64.

    Hernandez, M.V., Ortiz-Monasterio, I., Perez-Rodriguez, P., Montesinos-Lopez, O.A., Montesinos-López, A., Burgueño, J.,Crossa, J., 2019. Modeling Genotype× Environment Interaction Using a Factor Analytic Model of On-Farm Wheat Trials in the Yaqui Valley of Mexico.Agronomy Journal 111, 1–11.

    Igrejas, G., Branlard, G., 2020. The Importance of Wheat. In: Igrejas G., Ikeda T., Guzmán C. (eds) Wheat Quality For Improving Processing And Human Health. Springer, Cham, 1–17.

    Kelly, A., Smith, A., Eccleston, J., Cullis, B., 2007. The accuracy of varietal selection using factor analytic models for multi environment plant breeding trials. Crop Science 47, 1063–1070

    Kleinknecht, K., Laidig, F., Piepho, H.P., Mohring, J., 2011. Best linear unbiased prediction (BLUP): Is it beneficial in official variety performance trials? Biuletyn Oceny Odmian 33, 21–33.

    Mendes, F.F., Guimaraes, L.J.M., Souza, J.C., Guimaraes, P.E.O., Pacheco,C.A.P., Machado, J.R., de, A., Meirelles, W.F., Silva,A.R.da.,Parentoni, S., 2012. Adaptability and stability of maize varieties using mixed model methodology. Crop Breeding and Applied Biotechnology 12(2), 111−117.

    Nuvunga, J.J., Oliveira, L.A., Pamplona, A.K.A., Silva, C.P., Lima, R.R., Balestre, M., 2015. Factor analysis using mixed models of multi-environment trials with different levels of unbalancing. Genetics and Molecular Research 14(4), 14262−14278.

    Oliveira, I., Atroch, A., Costa Dias, M., Guimaraes, L., Evaristo, P.,2017. Selection of corn cultivars for yield, stability, and adaptability in the state of Amazonas, Brazil. Pesq. agropec. bras., Brasilia 52(6), 455−463.

    Piepho, H.P., Mohring, J., Melchinger, A.E.,Buchse, A., 2008. BLUP for phenotypic selection in plant breeding and variety testing. Euphytica 161, 209−228.         

    Resende, M.D.V., 2007. Selecaogenomicaampla (GWS) e modeloslinearesmistos. In Resende MDV (ed) Matemática e estatísticanaanálise de experimentos e no melhoramentogenético. Embrapa Florestas, Colombo, 517−534.

    Silveira, D.A., Bahry, C.A., Pricinotto, L.F., Nardino, M., Carvalho, I.R., Souza, V.Q.de., 2018. Adaptability and stability of grain yield in soybean.  Aust Journal of Crop Science 12(05), 717−725.

    Smith, A.B., Cullis, B.R., 2018. Plant breeding selection tools built on factor analytic mixed models for multi-environment trial data. Euphytica  214(8), 143−161.

    Verardi, C.K., Resende, M.D.Z.V., Costa, R.B., Gonçalves, P.S., 2009. Adaptabilidade e estabilidade da producaode borracha e selecaoem progenies de seringueira. PesquisaAgropecuáriaBrasileira 44, 1277−1282.

    Yan, W., Kang, M.S., 2003. GGE Biplot Analysis: A Graphical Tool for Breeders, Geneticists, and Agronomists. CRC Press, 228.

People also read

Review Article

Homegarden Agroforestry in Ethiopia- A Review 

Biruk Kefale

Agroforestry, home garden, compositions

Published Online : 18 Aug 2020