Adaptability and stability of wheat genotypes for the expression of amino acids in their grains
DOI:
https://doi.org/10.52945/rac.v35i3.1502Keywords:
Triticum aestivum, REML/BLUP, AMMI, GGEAbstract
This study aimed to select wheat genotypes based on the adaptability and stability of their amino acid expression in their grains. Our experiment was conducted during the 2019 harvest in five environments in the state of Rio Grande do Sul
(RS). An experimental design was used with randomized blocks which were organized in a factorial scheme with five wheat genotypes cultivated in five environments, with three replicates per environment. The BRS Parrudo genotype potentates
the expression of amino acids in its grains when cultivated in Cachoeira do Sul-RS. By the BLUP methodology, it also best expresses all assessed amino acids in its grains. Research can identify and position wheat genotypes to obtain higher amino acid concentrations in their grains. The amino acids aspartate, proline, and tryptophan show the highest broad-sense heritability, favoring the selection of genotypes to increase these characteristics.
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CARVALHO, L.P.; FARIAS, F.J.C.; MORELLO, C.L.; TEODORO, P.E. Uso da metodologia REML/BLUP para seleção de genótipos de algodoeiro com maior adaptabilidade e estabilidade produtiva. Bragantia, Campinas, v. 75, n. 3, p. 314-321, 2016. DOI: https://doi.org/10.1590/1678-4499.275.
COMPANHIA NACIONAL DE ABASTECIMENTO. Acompanhamento safra brasileira de grãos. Brasília, DF: Conab, 2021. Safra 2021 v. 8, n.3.
KÖPPEN, W. Das geographische System der Klimate. Berlim: Gebrüder Borntraeger, 1936.
OLIVOTO, T.; LÚCIO, A.D.; DA SILVA, J.A.; MARCHIORO, V.S.; DE SOUZA, V.Q.; JOST, E. Mean performance and stability in multi‐environment trials I: combining features of AMMI and BLUP techniques. Agronomy Journal, Hoboken, v.111, n.6, p.2949-2960, 2019. DOI: https://doi.org/10.2134/agronj2019.03.0220.
PASINATO, A.; CUNHA, G.R.; FONTANA, D.C.; MONTEIRO, J.E.B.A.; NAKAI, A.M.; OLIVEIRA, A.F. Potential area and limitations for the expansion of rainfed wheat in the Cerrado biome of Central Brazil. Pesquisa Agropecuária Brasileira, Brasília, DF, v.53, n.7, p.779-790, 2018. DOI: https://doi.org/10.1590/S0100-204X2018000700001.
PUPIN, S.; ARAÚJO DOS SANTOS, A.V.; ZARUMA, D.U.G.; MIRANDA, A.C.; SILVA, P.H.M.; MARINO, C.L.; SEBBENN, A.M.; MORAES, M.L.T. Produtividade, estabilidade e adaptabilidade em progênies de polinização aberta de Eucalyptus urophylla ST Blake. Scientia Forestalis, Piracicaba, v.43, n.105, p. 127-134, 2015.
R CORE TEAM. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing, 2021. Disponível em: https://www.R-project.org/. Acesso em: 25 jan. 2021.
RAMALHO, M.A.P.; SANTOS, J.B.; PINTO, C.A.B.P.; SOUZA, E.A.; GONÇALVES, F.M.A.; SOUZA, J.C. Genética na agropecuária. 5. ed. Lavras: UFLA, 2012.
RESENDE, M.D.V. Software Selegem – REML/BLUP: sistema estatístico e seleção genética computadorizada via modelos lineares mistos. Colombo: Embrapa Florestas, 2007.
RESENDE, M.D.V.; DUARTE, J.B. Precisão e controle de qualidade em experimentos de avaliação de cultivares. Pesquisa Agropecuária Tropical, Goiânia, v.37, n.3, p.182-194, 2007.
ROSA, T.C.; CARVALHO, I.R.; SILVA, J.A.G.; SZARESKI, V.J.; SEGATTO, T.A.; PORT, E.D.; LORO, M.V.; ALMEIDA, H.C.F.; OLIVEIRA, A.C.; MAIA, L.C.; SOUZA, V.Q. Genetic parameters and multi-trait selection of white oats for forage. Genetics and Molecular Research, Ribeirão Preto, v.20, n.2, p.1-13, 2021. DOI: https://doi.org/10.4238/gmr18451.
SANTOS, O.P.; CARVALHO, I.R.; SZARESKI, V.J.; PELEGRIN, A.J.; BARBOSA, M.H.; LAUTENCHLEGER, F.; CONTE, G.G.; PIMENTEL, J.R.; TROYJACK, C.; VILLELA, F.A.; PEDÓ, T.; SOUZA, V.Q. Multivariate approach in eucalyptus breeding and its effect on genotype x environment interactions. Genetics and Molecular Research, Ribeirão Preto, v.17, n.3, p.1-12, 2018. DOI: https://doi.org/10.4238/gmr18025
SCHEUER, P.M.; FRANCISCO, A.; MIRANDA, M.Z.; LIMBERGER, V.M. Trigo: características e utilização na panificação. Revista Brasileira de Produtos Agroindustriais, Campina Grande, v.13, n.2, p. 211-222, 2011. DOI: https://doi.org/10.15871/1517-8595/rbpa.v13n2p211-222.
SCHNEIDER, R.O.; CARVALHO, I.R.; SZARESKI, V.J.; KEHL, K.; LEVIEN, A.M.; SILVA, J.A.G.; HUTRA, D.J.; SOUZA, V.Q.; LAUTENCHLEGER, F.; LORO, M.V. Bayesian inference and prediction applied to the positioning of wheat yield grown in southern Brazil. Functional Plant Breeding Journal, Campos dos Goytacazes, v.3, n.2, p.15-32, 2021. DOI: https://doi.org/10.35418/2526-4117/v3n2a2.
SZARESKI, V.J.; CARVALHO, I.R.; KEHL, K.; LEVIEN, A.M.; ROSA, T.C.; SOUZA, V.Q. Adaptability and stability with multivariate definition of macroenvironments for wheat yield in Rio Grande do Sul. Pesquisa Agropecuária Brasileira, Brasília, DF, v.56, p.1-12, 2021. DOI: https://doi.org/10.1590/S1678-3921.pab2021.v56.02468.
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Copyright (c) 2022 Thalia Aparecida Segatto, Ivan Ricardo Carvalho, Kassiana Kehl, Jéssica Fernanda Hoffmann, Matheus Guilherme Libardoni Meotti, Eduarda Donadel Port, Murilo Vieira Loro, Inaê Carolina Sfalcin, Leonardo Cesar Pradebon, Rafael Soares Ourique
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