Seleção genotípica de variedades de milho via metodologia de modelos mistos

V. Santos, Suely Ribeiro Lima, A. G. G. Mesquita, I. L. Franke, J. R. D. S. Negreiros, P. M. Beber
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Abstract

One of the techniques used that has advanced in breeding programs is the analysis using mixed models. The selection of cultivars using this methodology allows for more accurate and realistic inferences about the genotypic evaluation of the superior genotypes for selection. The objective of this work was to select corn genotypes from four harvests of the Embrapa Acre breeding program, using the mixed model methodology REML / BLUP. The experiments were conducted in the Experimental field of Embrapa Acre. The design used was in a 5x6 rectangular lattice, with two replications. Grain yield data from 78 varieties tested in the years 2013/2014, 2014/2015, 2015/2016, 2017/2018 were used. The MHVG model was used to estimate the genotypic stability. The Selegem REML / BLUP software was used for statistical-genetic analysis. In the four years it was found that the varieties did not exceed the average production of the hybrids. The ordering of the genotypes coincided in the four years of evaluation, indicating broad behavior of the cultivars. The mixed model methodology was efficient in evaluating the
混合模型方法对玉米品种进行基因型选择
在育种计划中使用的先进技术之一是使用混合模型进行分析。利用这种方法进行品种选择,可以对优良基因型的基因型评价作出更准确、更现实的推断。本研究的目的是利用REML / BLUP混合模型方法,从Embrapa Acre育种计划的四个收获中选择玉米基因型。试验在巴西农垦试验田进行。使用的设计是一个5x6的矩形格子,有两个复制。使用了2013/2014年、2014/2015年、2015/2016年和2017/2018年78个试验品种的粮食产量数据。采用MHVG模型估计基因型稳定性。采用Selegem REML / BLUP软件进行统计遗传分析。在四年的时间里,发现这些品种的产量没有超过杂交品种的平均产量。在4年的评价中,基因型排序一致,表明品种具有广泛的行为。混合模型方法是一种有效的评价方法
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