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2019
DOI: 10.1016/j.cpb.2019.100124
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QTL mapping for sorghum downy mildew disease resistance in maize (Zea mays L.) in recombinant inbred line population of UMI79 X UMI936 (w)

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Cited by 6 publications
(4 citation statements)
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“…Our previous map constructed using the RIL population had only 58 SSR markers, and the marker density was very low. The present map comprises high-quality 1516 SNP markers and has a higher marker density than the earlier map ( Jadhav et al, 2019 ). According to the available literature, no other previous SDM research in maize has ever achieved the current map marker density and genome coverage.…”
Section: Discussionmentioning
confidence: 98%
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“…Our previous map constructed using the RIL population had only 58 SSR markers, and the marker density was very low. The present map comprises high-quality 1516 SNP markers and has a higher marker density than the earlier map ( Jadhav et al, 2019 ). According to the available literature, no other previous SDM research in maize has ever achieved the current map marker density and genome coverage.…”
Section: Discussionmentioning
confidence: 98%
“…SDM resistance QTL and linked markers [phi073, Dupssr23, bnlg1350, and bnlg197] on chromosome 3 ( Nair et al, 2005 ; Sabry et al, 2006 ). SDM resistance QTL and linked markers [nc013, bnlg1702, mmc0241, umc 1859, umc1388, umc1462, S6_145310940, S6_145310942, S6_145312028, S6_145321547, S6_145432233, S6_145432240, S6_145491591, and S6_146125265] on chromosome 6 ( George et al, 2003 ; Nair et al, 2005 ; Nagabhushan et al, 2017 ; Rashid et al, 2018 ; Jadhav et al, 2019 ). The putative candidate genes for qDMR3.1 and qDMR6.1 genomic region (s) only presented in this figure, the complete gene details around the QTL region summarized in Supplementary Tables S1–3 .…”
Section: Discussionmentioning
confidence: 99%
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“…In sorghum, many DNA markers such as RFLPs, AFLPs, SSRs and DArTs were developed and helps to construct linkage goups (Rahman et al, 2019;Srivastava et al, 2019). QTL of sorghum study have manipulated many genomic regions linked with essential agronomic and stem sugar traits, such as plant maturity, plant height, grain yield and related traits (Breitzman et al, 2019;Kang et al, 2020), and resistance to drought after owering (Wang et al, 2020a), resistance to disease and insects (Jadhav et al, 2019), concentration of stem sugar. Building of genetic groups using unique functional genetic markers enables the co-location of genetic markers and QTL to be evaluated and can also improve our consideration of the biochemical pathway and system manipulating stem brix content traits (Disasa et al, 2018b;Kajiya-Kanegae et al, 2020;Kang et al, 2020;Mengistu et al, 2020).…”
Section: Introductionmentioning
confidence: 99%