Prediction of genetic gains in sweet potato genotypes by polycross

Q3 Agricultural and Biological Sciences

Comunicata Scientiae Pub Date : 2023-09-20 DOI:10.14295/cs.v14.4053

Giovana Guerra Mariano, Bruno Ettore Pavan, Maria Eduarda Facioli Otoboni, Maria Isabel Andrade, Pablo Forlan Vargas

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Abstract

Sweet potato crops present a wide genetic diversity, but genetic parameters of populations should be estimated in breeding programs, mainly when the selection is focused on multiple traits. Thus, the objective of this study was to estimate genetic parameters and select clones via a selection index in a sweet potato population obtained from uncontrolled crosses. The experiment was carried out in Ilha Solteira, Sao Paulo, Brazil, from June to November 2020, to evaluate 144 clones and three controls, totaling 147 treatments. A randomized block design was used, with two replications and three plants per plot. The data were analyzed through mixed modeling (REML/BLUP), and the selection index proposed by Mulamba & Mock was applied using a selection pressure of 17.3% for the selection of superior clones. The direct selection enabled a higher prediction of gains for each trait, but the joint analysis maximized the selection gains for all traits of interest. Clones 38, 63, 79, 77, and 5 are recommended, among the selected clones, for further stages of sweet potato breeding focused on improving traits for production and table consumption. Palavras-chave: Ipomoea batatas (L.) Lam, Variabilidade genética, Índice de seleção, Parâmetros genéticos, Ganho com seleção

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甘薯基因型遗传增益的多交预测

甘薯作物具有广泛的遗传多样性，但在育种规划中，主要是在集中选择多性状时，应估计群体的遗传参数。因此，本研究的目的是估计遗传参数，并通过选择指数来选择从非控制杂交获得的甘薯群体。该实验于2020年6月至11月在巴西圣保罗的Ilha Solteira进行，评估了144个无性系和3个对照，共147个处理。采用随机区组设计，2个重复，每亩3株。通过混合建模(REML/BLUP)对数据进行分析，采用Mulamba &以17.3%的选择压力进行模拟，筛选优质无性系。直接选择使每个性状的预测收益更高，而联合分析使所有感兴趣性状的选择收益最大化。在选择的无性系中，建议将38、63、79、77和5号无性系用于红薯育种的下一阶段，重点是改善生产和食用性状。palavras - have: Ipomoea batatas (L.)Lam, Variabilidade gen， Índice de sele， parmetros gen， Ganho com sele

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来源期刊

Comunicata Scientiae Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)

CiteScore

0.90

自引率

0.00%

发文量

期刊介绍： The Comunicata Scientiae journal edited by Campus “Profa Cinobelina Elvas” of Federal University of Piauí (Brazil) publishes original articles, scientific notes and review articles (when invited by the editorial board), which present significant importance for Agrarian and Environmental Sciences in Portuguese, Spanish and preferentially, in English.