首页> 外文期刊>Theoretical and Applied Genetics: International Journal of Breeding Research and Cell Genetics >Exploiting genetic diversity in two European maize landraces for improving Gibberella ear rot resistance using genomic tools
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Exploiting genetic diversity in two European maize landraces for improving Gibberella ear rot resistance using genomic tools

机译:利用基因组工具改善Gibberella耳腐蚀性的两种欧洲玉米地体的遗传多样性

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Fusarium graminearum (Fg) causes Gibberella ear rot (GER) in maize leading to yield reduction and contamination of grains with several mycotoxins. This study aimed to elucidate the molecular basis of GER resistance among 500 doubled haploid lines derived from two European maize landraces, "Kemater Landmais Gelb" (KE) and "Petkuser Ferdinand Rot" (PE). The two landraces were analyzed individually using genome-wide association studies and genomic selection (GS). The lines were genotyped with a 600-k maize array and phenotyped for GER severity, days to silking, plant height, and seed-set in four environments using artificial infection with a highly aggressive Fg isolate. High genotypic variances and broad-sense heritabilities were found for all traits. Genotype-environment interaction was important throughout. The phenotypic (r) and genotypic (r(g)) correlations between GER severity and three agronomic traits were low (r = -0.27 to 0.20; r(g)= -0.32 to 0.22). For GER severity, eight QTLs were detected in KE jointly explaining 34% of the genetic variance. In PE, no significant QTLs for GER severity were detected. No common QTLs were found between GER severity and the three agronomic traits. The mean prediction accuracies (rho) of weighted GS (wRR-BLUP) were higher than rho of marker-assisted selection (MAS) and unweighted GS (RR-BLUP) for GER severity. Using KE as the training set and PE as the validation set resulted in very low rho that could be improved by using fixed marker effects in the GS model.
机译:禾谷镰刀菌(Fusarium graminearum,Fg)在玉米中引起赤霉素穗腐病(Gibberella ear rot,GER),导致产量下降,并用几种真菌毒素污染谷物。本研究旨在阐明来自两个欧洲玉米地方品种“Kemater Landmais Gelb”(KE)和“Petkuser Ferdinand Rot”(PE)的500个双单倍体系中GER抗性的分子基础。使用全基因组关联研究和基因组选择(GS)分别分析了这两个地方品种。利用600-k玉米阵列对这些品系进行基因分型,并在四种环境中使用高攻击性Fg分离物进行人工感染,对GER严重程度、吐丝天数、株高和结实率进行表型分析。所有性状均具有较高的基因型方差和广义遗传力。基因型与环境的相互作用在整个过程中都很重要。GER严重程度与三个农艺性状之间的表型(r)和基因型(r(g))相关性较低(r=-0.27至0.20;r(g)=-0.32至0.22)。对于GER严重程度,在KE中检测到8个QTL,共同解释了34%的遗传变异。在PE中,未检测到与GER严重程度相关的显著QTL。GER严重度与这三个农艺性状之间未发现共同的QTL。加权GS(wRR BLUP)的平均预测准确率(rho)高于标记辅助选择(MAS)和未加权GS(RR-BLUP)对GER严重程度的平均预测准确率(rho)。使用KE作为训练集,PE作为验证集,导致rho非常低,可以通过在GS模型中使用固定标记效应来改善rho。

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