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Selection of Parental Material to Maximize Heterosis Using SNP and SilicoDarT Markers in Maize

机译:利用SNP和SilicoDarT标记在玉米中选择育种材料以最大化杂种优势

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摘要

The chief aim of plant breeding is to improve varieties so as to increase their yield and breeding traits. One of the first stages of breeding is the selection of parental forms from the available gene pool of existing varieties. To date, costly and laborious methods based on multiple crossbreeding and phenotypic selection have been necessary to properly assess genetic resources in terms of productivity, quality parameters, and susceptibility to biotic and abiotic stressors. The often long and complicated breeding cycle can be significantly shortened through selection using DNA markers. To this end, use is made of close couplings between the marker and the locus responsible for the inheritance of the functional trait. The aim of this study was to identify single nucleotide polymorphism (SNP) and SilicoDArT markers associated with yield traits and to predict the heterosis effect for yield traits in maize (Zea mays L.). The plant material used in the research consisted of 19 inbred maize lines derived from different starting materials, and 13 hybrids resulting from crossing them. A two-year field experiment with inbred lines and hybrids was established at two Polish breeding stations on 10 m2 plots in a randomized block design with three replicates. The biometric measurements included cob length, cob diameter, core length, core diameter, number of rows of grain, number of grains in a row, mass of grain from the cob, weight of one thousand grains, and yield. The isolated DNA was subjected to DArTseq genotyping. Association mapping was performed in this study using a method based on the mixed linear model with the population structure estimated by eigenanalysis (principal component analysis of all markers) and modeled by random effects. Narew, Popis, Kozak, M Glejt, and Grom were the hybrids used in the study that showed the highest significant heterosis effect in 2013 and 2014. The similarity between parental components determined on the basis of SNP and SilicoDArT marker analysis did not exceed 33%. It was found that the genetic similarity between parental components, determined on the basis of SNP and SilicoDArT markers, reflected their degree of relationship, and correlated significantly with the effect of heterosis. As the results indicate, the parental components for heterosis crosses can be selected based on genetic similarity between parental components evaluated using SNP and SilicoDArT markers, supported with information on the origin of parental forms. Of the markers we analyzed, 76 were selected as being significantly associated with at least six traits observed in 2013 and 2014 at both the Łagiewniki and Smolice stations.
机译:植物育种的主要目的是改良品种,以增加其产量和育种特性。育种的第一步是从现有品种的可用基因库中选择亲本形式。迄今为止,基于生产力,质量参数以及对生物和非生物胁迫源的敏感性,基于多重杂交和表型选择的昂贵且费力的方法对于正确评估遗传资源是必要的。通过使用DNA标记进行选择,可以大大缩短通常漫长而复杂的育种周期。为此,利用标记和负责功能性状遗传的基因座之间的紧密结合。这项研究的目的是鉴定与产量性状相关的单核苷酸多态性(SNP)和SilicoDArT标记,并预测玉米(Zea mays L.)产量性状的杂种优势。研究中使用的植物材料包括19个自不同起始材料衍生的自交玉米品系,以及13个杂交后得到的杂种。在两个波兰育种站的10 m 2 地块上建立了一个为期两年的自交系和杂种田间试验,采用随机区组设计,每组三个重复。生物测定法包括穗轴长度,穗轴直径,芯长度,芯直径,谷物行数,一行中的谷物数,来自玉米芯的谷物质量,一千个谷物的重量和产量。对分离的DNA进行DArTseq基因分型。在这项研究中,使用基于混合线性模型的方法进行关联映射,该方法具有通过特征分析(所有标记的主要成分分析)估算并通过随机效应建模的种群结构。 Narew,Popis,Kozak,M Glejt和Grom是该研究中使用的杂种,在2013年和2014年表现出最高的显着杂种优势。根据SNP和SilicoDArT标记分析确定的亲本成分之间的相似性不超过33% 。发现基于SNP和SilicoDArT标记确定的亲本成分之间的遗传相似性反映了它们的关联程度,并且与杂种优势显着相关。结果表明,杂种优势杂交的亲本成分可以根据使用SNP和SilicoDArT标记评估的亲本成分之间的遗传相似性进行选择,并辅以有关亲本形式起源的信息。在我们分析的标记中,选择了76个与2013年和2014年在gieagiewniki和Smolice站观测到的至少六个特征显着相关。

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