Selection of alfalfa genotypes for dry matter yield and persistence with repeated measures

Cristiano Ferreira de Oliveira, Jacqueline Enequio Souza, Michele Jorge Silva Siqueira, Antônio Carlos da Silva Júnior, Reinaldo Paula Ferreira, D. Vilela, C. Cruz
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Abstract

The biggest challenge in the alfalfa breeding program is to obtain cultivars with high persistence, high productivity, and adaptability. Therefore, studies about selection methods are necessary for the success of alfalfa breeding programs. This study aimed to evaluate dry matter yield and persistence in alfalfa for selecting genotypes, using appropriate statistical models for experiments with repeated measures. The experiment was conducted at Embrapa Southeast Livestock, in São Carlos, state of São Paulo, Brazil in a randomized blocks design, in plots subdivided in time, with three replicates. Eight genotypes were evaluated, and the agronomic trait evaluated was dry matter yield. The experiments in split-plots were used with two and three errors and generalized linear models with the following correlation structures: composite symmetry (CS), heterogeneous composite symmetry (HCS), auto regressive (AR), heterogeneous auto regressive (HAR), and variance components (VC). The best model was selected according to the lowest value of the Akaike Information Criterion (AIC), and three methodologies were used to identify the genotype with greater productivity and persistence: Average test for multiple comparisons, adaptability, and stability by multi-information, and similarity between genotype and ideotype. The interaction between genotypes and cuts was significant, demonstrating the existence of the different behavior of the alfalfa genotypes over the cuts. Different methodologies allowed to measure the average yield of the alfalfa genotype and the persistence over the cuts. PSB 4 genotype demonstrated promissory behavior in terms of productivity and persistence throughout the production cycle of alfalfa.
苜蓿干物质产量和持续性基因型的重复测定选择
苜蓿育种计划面临的最大挑战是获得高持久性、高生产力和适应性的品种。因此,选择方法的研究是苜蓿育种计划成功的必要条件。本研究旨在利用适当的统计模型进行重复试验,评价苜蓿干物质产量和持久性,以选择基因型。实验在巴西圣保罗州奥卡洛斯州东南畜牧研究所进行,采用随机区组设计,按时间细分,重复3次。评价了8个基因型,农艺性状评价为干物质产量。实验采用二误差和三误差的分裂图和广义线性模型,相关结构为复合对称(CS)、异质复合对称(HCS)、自回归(AR)、异质自回归(HAR)和方差成分(VC)。根据赤池信息准则(Akaike Information Criterion, AIC)的最小值选择最佳模型,并采用多重比较的平均检验、多信息的适应性和稳定性以及基因型与理想型的相似性3种方法来鉴定具有较高生产力和持久性的基因型。基因型与切口间的交互作用显著,说明苜蓿基因型在切口上存在不同的行为。不同的方法允许测量苜蓿基因型的平均产量和切割后的持久性。psb4基因型在紫花苜蓿整个生产周期的生产力和持久性方面表现出预期的行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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