Ciências Agrárias
URI permanente desta comunidadehttps://locus.ufv.br/handle/123456789/2
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Item Genome wide selection optimization in maize breeding(Universidade Federal de Viçosa, 2023-03-31) Bernardeli, Arthur Martins Almeida; Oliveira, Aluízio Borém de; http://lattes.cnpq.br/0208140000693434Maize is a staple crop and the most grown cereal worldwide. The expansion of this crop was possible due to efforts in management and breeding. In the breeding standpoint, advances were achieved in the release of hybrids presenting heterosis, field experimental design and analyses, establishment of heterotic patterns, and effective seed production and marketing. From the last decade on, advances in data analyses benefited from the surge of genotypic data, allowing the prediction of hybrids without being tested through genomic selection approaches. This study aims to convert a high-density SNP data set and use it in a genomic selection or predicting non- tested hybrids and non-observed environments, and for indicating most promising mating parent material for obtaining hybrids and inbred lines for ASI, EPP, FFT, GY, and MFT maize traits. For that, we ranked the SNPs according to their effects from a ME analyses and selected the minimum portion of markers that reached the plateau of prediction accuracy per chromosome, followed by eliminating the repeated markers between traits, and removing the ones tightly linked according to LD analyses. For the GS of hybrids and environments, three methods that comprised GCA and SCA main and interaction effects were fitted, and the prediction accuracy was assessed. The step of selecting parent material was performed according to PS, GS, and GM. The GM methods used the marker effects predicted in the previous GS step, and the 40 top- and bottom-performing crosses and their respective parent lines were selected for each trait. The selected SNPs maintained the accuracy for all traits under drought or well-watered conditions when compared to using full SNP set. For GWS of hybrids, Model 3 performed better for all traits when cross validation schemes had information of all environments (CV1 and CV2) in terms of prediction accuracy, and Model 2 performed better when there was missing information about environments (CV0 and CV00). The mating parents chosen for positive selection were different than the ones from negative selection, ensuring maximization of gains for hybrid and inbred lines development. The highest coincidences of selected parent lines occurred in GS-based methods (Methods 1, 3, 5, 7, 9, 11, 13, and 15), where parents were directly selected based on means or GCA/SCA (and interaction) values of their respective hybrids. The methods based on crosses simulations (Methods 2, 4, 6, 8, 10, 11, 12, 14, and 16) had moderate to low coincidences, but were consistent in indicating the best parent materials overall. GS- and GM-based parent selection results must be further compared to Method 17 (observed crosses) for an effective validation. PS, GS, and GM methods together must help in the decision making of selecting parent material for future crosses. These approaches must be further performed using other training populations. Keywords: Cross-validation. Hybrids. Inbred Lines. Prediction Accuracy. SNP Markers.Item Validação de marcadores moleculares SNP para alto conteúdo de proteína em grãos de soja [Glycine max (L.) Merr.](Universidade Federal de Viçosa, 2019-02-22) Bernardeli, Arthur Martins Almeida; Oliveira, Aluizio Borem de; http://lattes.cnpq.br/0208140000693434O objetivo deste estudo foi estimar o efeito de marcadores moleculares SNP sobre o fenótipo (𝑟 2 ), determinar a herdabilidade dos conteúdos de proteína e óleo em grãos de soja e o coeficiente de correlação entre estes dois caracteres, e identificar as progênies superiores via seleção assistida e fenotipagem. Para isto, 271 RILs derivadas de F5 foram testadas em ensaios de campo em Capinópolis e Viçosa, em 2017, genotipadas, e fenotipadas para conteúdos de proteína e óleo via NIR. Os genótipos apresentaram diferenças significativas entre si e ao longo dos ambientes testados, sendo que os resultados de Capinópolis foram maiores para conteúdo de proteína das RILs (47,845 %) e os de Viçosa para o conteúdo de óleo das testemunhas (23,291 %). As herdabilidades foram maiores para a análise conjunta dos dados que para a análise 2 individual, em que ℎ 𝑝𝑟𝑜𝑡𝑒í𝑛𝑎 = 79,490 % e 72,810 %, e ℎ ó𝑙𝑒𝑜 = 84,190 % e 79,520 %, 2 para Capinópolis e Viçosa, respectivamente; e ℎ 𝑝𝑟𝑜𝑡𝑒í𝑛𝑎 = 88,230 % e ℎ ó𝑙𝑒𝑜 = 91,050 %, para análise conjunta. Os coeficientes de Correlação de Pearson para dados fenotípicos foram de 𝑟 𝐶𝑎𝑝𝑖𝑛. = -0,664 e 𝑟 𝑉𝑖ç𝑜𝑠𝑎 = -0,587. Dos marcadores moleculares avaliados, ss56, ss62, ss115 e ss190 associaram para o conteúdo de proteína em Capinópolis; e ss56, ss62 e ss190 para este mesmo caráter em Viçosa. Os marcadores ss62, ss115 e ss190 associaram para o conteúdo de óleo em ambas as localidades. O marcador ss190 destacou-se ao apresentar 𝑟 2 entre 25-29 % para ambos os conteúdos nas duas localidades. Efeito pleiotrópico de todos os marcadores foi observado, exceto para ss56, em que seu uso na seleção assistida promove o aumento do conteúdo de proteína e não onera o de óleo. Em termos práticos, as progênies superiores para alta proteína foram as que reuniram todos ou a maioria dos alelos favoráveis. As progênies 61-9, 78-38, 84-13 e 84-33 foram superiores para o conteúdo de proteína e em desempenho de campo, além de reunirem alelos favoráveis identificados via seleção assistida das marcas associadas neste estudo, justificando seu uso no programa de melhoramento.