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005			20230113222431.0
008			202212s2022||||mx |||p|op||||00||0|eng|d
022			_a1999-4915 (Online)
024			_2https://doi.org/10.3390/v14122765
040			_aMX-TxCIM
041			_aeng
100	1		_aJohnmark, O. _929430
245	1	0	_aFighting death for living : _bRecent advances in molecular and genetic mechanisms underlying maize lethal necrosis disease resistance
260			_bMDPI, _c2022. _aSwitzerland :
500			_aPeer review
500			_aOpen Access
520			_aMaize Lethal Necrosis (MLN) disease, caused by a synergistic co-infection of maize chlorotic mottle virus (MCMV) and any member of the Potyviridae family, was first reported in EasternAfrica (EA) a decade ago. It is one of the most devastating threats to maize production in these regions since it can lead up to 100% crop loss. Conventional counter-measures have yielded some success; however, they are becoming less effective in controlling MLN. In EA, the focus has been on the screening and identification of resistant germplasm, dissecting genetic and the molecular basis of the disease resistance, as well as employing modern breeding technologies to develop novel varieties with improved resistance. CIMMYT and scientists from NARS partner organizations have made tremendous progresses in the screening and identification of the MLN-resistant germplasm. Quantitative trait loci mapping and genome-wide association studies using diverse, yet large, populations and lines were conducted. These remarkable efforts have yielded notable outcomes, such as the successful identification of elite resistant donor lines KS23-5 and KS23-6 and their use in breeding, as well as the identification of multiple MLN-tolerance promising loci clustering on Chr 3 and Chr 6. Furthermore, with marker-assisted selection and genomic selection, the above-identified germplasms and loci have been incorporated into elite maize lines in a maize breeding program, thus generating novel varieties with improved MLN resistance levels. However, the underlying molecular mechanisms for MLN resistance require further elucidation. Due to third generation sequencing technologies as well functional genomics tools such as genome-editing and DH technology, it is expected that the breeding time for MLN resistance in farmer-preferred maize varieties in EA will be efficient and shortened.
546			_aText in English
650		7	_aMarker-assisted selection _2AGROVOC _910737
650		7	_aMaize _2AGROVOC _91173
650		7	_aDefence mechanisms _2AGROVOC _912951
650		7	_aQuantitative Trait Loci _2AGROVOC _91853
650		7	_aDisease resistance _2AGROVOC _91077
700	1		_aIndieka, S. _929431
700	1		_aLiu, G. _929432
700	1		_aGowda, M. _9795 _8I1705963 _gGlobal Maize Program
700	1		_aMahabaleswara, S.L. _gGlobal Maize Program _8I1706749 _92827
700	1		_aZhang, W. _929433
700	1		_aGao, X. _929434
773	0		_tViruses _gv. 14, no. 12, art. 2765 _dSwitzerland : MDPI, 2022. _x1999-4915
856			_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/22331
942			_cJA _n0 _2ddc
999			_c65790 _d65782