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人工感染苍耳(Striga hermonthica(Del.)Benth.)下热带双倍单倍体玉米品系性能的基因组预测。

Genomic prediction of the performance of tropical doubled haploid maize lines under artificial Striga hermonthica (Del.) Benth. infestation.

机构信息

Global Maize Program, International Maize and Wheat Improvement Center (CIMMYT), P.O. Box 1041-00621, Nairobi, Kenya.

West Africa Centre for Crop Improvement (WACCI), University of Ghana, PMB 30 Legon, Accra, Ghana.

出版信息

G3 (Bethesda). 2024 Oct 7;14(10). doi: 10.1093/g3journal/jkae186.

Abstract

Striga hermonthica (Del.) Benth., a parasitic weed, causes substantial yield losses in maize production in sub-Saharan Africa. Breeding for Striga resistance in maize is constrained by limited genetic diversity for Striga resistance within the elite germplasm and phenotyping capacity under artificial Striga infestation. Genomics-enabled approaches have the potential to accelerate identification of Striga resistant lines for hybrid development. The objectives of this study were to evaluate the accuracy of genomic selection for traits associated with Striga resistance and grain yield (GY) and to predict genetic values of tested and untested doubled haploid maize lines. We genotyped 606 doubled haploid lines with 8,439 rAmpSeq markers. A training set of 116 doubled haploid lines crossed to 2 testers was phenotyped under artificial Striga infestation at 3 locations in Kenya. Heritability for Striga resistance parameters ranged from 0.38-0.65 while that for GY was 0.54. The prediction accuracies for Striga resistance-associated traits across locations, as determined by cross-validation (CV) were 0.24-0.53 for CV0 and from 0.20 to 0.37 for CV2. For GY, the prediction accuracies were 0.59 and 0.56 for CV0 and CV2, respectively. The results revealed 300 doubled haploid lines with desirable genomic estimated breeding values for reduced number of emerged Striga plants (STR) at 8, 10, and 12 weeks after planting. The genomic estimated breeding values of doubled haploid lines for Striga resistance-associated traits in the training and testing sets were similar in magnitude. These results highlight the potential application of genomic selection in breeding for Striga resistance in maize. The integration of genomic-assisted strategies and doubled haploid technology for line development coupled with forward breeding for major adaptive traits will enhance genetic gains in breeding for Striga resistance in maize.

摘要

Striga hermonthica(Del.)Benth.,一种寄生杂草,会导致撒哈拉以南非洲地区玉米产量的大量损失。由于在优良种质资源中用于 Striga 抗性的遗传多样性有限,以及在人工 Striga 侵染下的表型鉴定能力有限,因此在玉米中进行 Striga 抗性育种受到限制。基因组学方法有可能加速鉴定用于杂种开发的 Striga 抗性品系。本研究的目的是评估与 Striga 抗性和籽粒产量(GY)相关性状的基因组选择的准确性,并预测经过和未经测试的双单倍体玉米品系的遗传值。我们使用 8439 个 rAmpSeq 标记对 606 个双单倍体品系进行了基因分型。在肯尼亚的 3 个地点,用人工 Striga 侵染对 116 个双单倍体品系与 2 个测试者杂交的一个训练集进行了表型鉴定。Striga 抗性参数的遗传力范围为 0.38-0.65,而 GY 的遗传力为 0.54。通过交叉验证(CV)确定的跨地点 Striga 抗性相关性状的预测准确性为 CV0 为 0.24-0.53,CV2 为 0.20-0.37。对于 GY,CV0 和 CV2 的预测准确性分别为 0.59 和 0.56。结果显示,有 300 个双单倍体品系具有降低种植后 8、10 和 12 周出现的 Striga 植物数量(STR)的理想基因组估计育种值。训练集和测试集的双单倍体品系的 Striga 抗性相关性状的基因组估计育种值在数量上相似。这些结果突出了基因组选择在玉米抗 Striga 育种中的潜在应用。将基因组辅助策略与双单倍体技术相结合用于品系开发,以及对主要适应性性状的正向选育,将提高玉米抗 Striga 育种的遗传增益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6a0/11457060/4b4618299d56/jkae186f1.jpg

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