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抗小麦黄斑叶枯病的杂交育种:杂种优势、配合力及杂交预测

Hybrid Breeding for MLN Resistance: Heterosis, Combining Ability, and Hybrid Prediction.

作者信息

Nyaga Christine, Gowda Manje, Beyene Yoseph, Murithi Wilson T, Burgueno Juan, Toledo Fernando, Makumbi Dan, Olsen Michael S, Das Biswanath, L M Suresh, Bright Jumbo M, Prasanna Boddupalli M

机构信息

Department of Agricultural Science and Technology, Kenyatta University, Nairobi 43844-00100, Kenya.

International Maize and Wheat Improvement Centre (CIMMYT), World Agroforestry Centre (ICRAF), United Nations Avenue, Gigiri, Nairobi 1041-00621, Kenya.

出版信息

Plants (Basel). 2020 Apr 8;9(4):468. doi: 10.3390/plants9040468.

Abstract

Prior knowledge on heterosis and quantitative genetic parameters on maize lethal necrosis (MLN) can help the breeders to develop numerous resistant or tolerant hybrids with optimum resources. Our objectives were to (1) estimate the quantitative genetic parameters for MLN disease severity, (2) investigate the efficiency of the prediction of hybrid performance based on parental and general combining ability (GCA) effects, and (3) examine the potential of hybrid prediction for MLN resistance or tolerance based on markers. Fifty elite maize inbred lines were selected based on their response to MLN under artificial inoculation. Crosses were made in a half diallel mating design to produce 307 F1 hybrids. All hybrids were evaluated in MLN quarantine facility in Naivasha, Kenya for two seasons under artificial inoculation. All 50 inbreds were genotyped with genotyping-by-sequencing (GBS) SNPs. The phenotypic variation was significant for all traits and the heritability was moderate to high. We observed that hybrids were superior to the mean performance of the parents for disease severity (-14.57%) and area under disease progress curve (AUDPC) (14.9%). Correlations were significant and moderate between line and GCA; and mean of parental value with hybrid performance for both disease severity and AUDPC value. Very low and negative correlation was observed between parental lines marker based genetic distance and heterosis. Nevertheless, the correlation of GCA effects was very high with hybrid performance which can suggests as a good predictor of MLN resistance. Genomic prediction of hybrid performance for MLN is high for both traits. We therefore conclude that there is potential for prediction of hybrid performance for MLN. Overall, the estimated quantitative genetic parameters suggest that through targeted approach, it is possible to develop outstanding lines and hybrids for MLN resistance.

摘要

对玉米致死坏死病(MLN)杂种优势和数量遗传参数的先验知识,有助于育种者利用最优资源培育出大量抗性或耐性杂种。我们的目标是:(1)估计MLN病情严重程度的数量遗传参数;(2)研究基于亲本和一般配合力(GCA)效应预测杂种表现的效率;(3)检验基于标记预测MLN抗性或耐性杂种的潜力。根据50个优良玉米自交系在人工接种条件下对MLN的反应进行选择。采用半双列杂交设计配制杂交组合,获得307个F1杂种。所有杂种在肯尼亚奈瓦沙的MLN隔离设施中进行人工接种,评估两个季节。利用简化基因组测序(GBS)SNP对所有50个自交系进行基因分型。所有性状的表型变异均显著,遗传力为中度到高度。我们观察到,杂种在病情严重程度(-14.57%)和病情进展曲线下面积(AUDPC)(14.9%)方面优于亲本的平均表现。自交系与GCA之间以及亲本值均值与病情严重程度和AUDPC值的杂种表现之间的相关性显著且为中度。亲本系基于标记的遗传距离与杂种优势之间的相关性非常低且为负相关。然而,GCA效应与杂种表现的相关性非常高,这表明GCA可作为MLN抗性的良好预测指标。两个性状的MLN杂种表现的基因组预测准确性都很高。因此,我们得出结论,MLN杂种表现具有预测潜力。总体而言,估计的数量遗传参数表明,通过有针对性的方法,有可能培育出抗MLN的优良自交系和杂种。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/719b/7238107/1457836a637a/plants-09-00468-g001.jpg

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