Beyene Yoseph, Gowda Manje, Suresh L M, Mugo Stephen, Olsen Michael, Oikeh Sylvester O, Juma Collins, Tarekegne Amsal, Prasanna Boddupalli M
International Maize and Wheat Improvement Center (CIMMYT), P.O. Box 1041-00621, Nairobi, Kenya.
2African Agricultural Technology Foundation (AATF), P.O. Box 30709-00100, Nairobi, Kenya.
Euphytica. 2017;213(9):224. doi: 10.1007/s10681-017-2012-3. Epub 2017 Sep 2.
Maize lethal necrosis (MLN) disease is a recent outbreak in eastern Africa and has emerged as a significant threat to maize production in the region. The disease is caused by the co-infection of Maize chlorotic mottle virus and any member of potyviridae family. A total of 28 maize inbred lines with varying levels of tolerance to MLN were crossed in a half-diallel mating design, and the resulting 340 F crosses and four commercial checks were evaluated under MLN artificial inoculation at Naivasha, Kenya in 2015 and 2016 using an alpha lattice design with two replications. The objectives of the study were to (i) investigate the magnitude of general combining ability variance (σ ) and specific combining ability variance (σ ) and their interaction with years; (ii) evaluate the efficiencies of GCA based prediction and hybrid performance by means of a cross-validation procedure; (iii) estimate trait correlations in the hybrids; and (iv) identify the MLN tolerant single cross hybrids to be used as female parents for three-way cross hybrids. Results of the combined analysis of variance revealed that both GCA and SCA effects were significant (P < 0.05) for all traits except for ear rot. For MLN scores at early and late stages, GCA effects were 2.5-3.5 times higher than SCA effects indicating that additive gene action is more important than non-additive gene action. The GCA based prediction efficiency for MLN resistance and grain yield accounted for 67-90% of the variations in the hybrid performance suggesting that GCA-based prediction can be proposed to predict MLN resistance and grain yield prior to field evaluation. Three parents, CKDHL120918, CML550, and CKLTI0227 with significant GCA effects for GY (0.61-1.21; < 0.05) were the most resistant to MLN. Hybrids "CKLTI0227 × CML550", "CKDHL120918 × CKLTI0138", and "CKDHL120918 × CKLTI0136" ranked among the best performing hybrids with grain yield of 6.0-6.6 t/ha compared with mean yield of commercial check hybrids (0.6 t/ha). The MLN tolerant inbred lines and single cross hybrids identified in this study could be used to improve MLN tolerance in both public and private sector maize breeding programs in eastern Africa.
玉米致死坏死病(MLN)是东非地区近期爆发的一种病害,已成为该地区玉米生产的重大威胁。该病由玉米褪绿斑驳病毒与马铃薯Y病毒科的任何成员共同感染引起。采用半双列杂交设计,将28个对MLN具有不同耐受水平的玉米自交系进行杂交,并于2015年和2016年在肯尼亚奈瓦沙对所得到的340个F杂交种和4个商业对照品种进行MLN人工接种评估,采用α格子设计,重复两次。本研究的目的是:(i)研究一般配合力方差(σ )和特殊配合力方差(σ )的大小及其与年份的相互作用;(ii)通过交叉验证程序评估基于GCA的预测效率和杂种表现;(iii)估计杂种中的性状相关性;(iv)鉴定耐MLN的单交杂种,用作三交杂种的母本。方差的联合分析结果表明,除穗腐病外,所有性状的GCA和SCA效应均显著(P < 0.05)。对于MLN早期和晚期的评分,GCA效应比SCA效应高2.5 - 3.5倍,表明加性基因作用比非加性基因作用更重要。基于GCA的MLN抗性和籽粒产量预测效率占杂种表现变异的67 - 90%,这表明可以提出基于GCA的预测方法,在田间评估之前预测MLN抗性和籽粒产量。三个亲本CKDHL120918、CML550和CKLTI0227对GY具有显著的GCA效应(0.61 - 1.21;< 0.05),对MLN的抗性最强。杂种“CKLTI0227 × CML550”、“CKDHL120918 × CKLTI0138”和“CKDHL120918 × CKLTI0136”是表现最好的杂种之一,籽粒产量为6.0 - 6.6吨/公顷,而商业对照杂种的平均产量为0.6吨/公顷。本研究中鉴定出的耐MLN自交系和单交杂种可用于提高东非公共和私营部门玉米育种计划中的MLN耐受性。