| 000 | 02925nab|a22003977a|4500 | ||
|---|---|---|---|
| 001 | 69538 | ||
| 003 | MX-TxCIM | ||
| 005 | 20251201111022.0 | ||
| 008 | 251119s2025 ii ||||| |||| 00| 0 eng d | ||
| 022 | _a2457-0591 | ||
| 024 | _ahttps://doi.org/10.9734/jeai/2025/v47i103831 | ||
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 100 | 1 |
_aSharanu S G _940551 |
|
| 245 | 1 | 0 | _aAssessing molecular diversity of tropical maize inbred lines using Single Nucleotide Polymorphic (SNP) markers |
| 260 |
_aIndia : _bScienceDomain International, _c2025. |
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| 500 | _aPeer review | ||
| 500 | _aOpen Access | ||
| 520 | _aAdvances in genotyping technologies have changed how breeders study and manage maize genetics. Identification of single nucleotide polymorphisms (SNPs) helped researchers understand the molecular diversity among tropical maize (Zea mays L.) inbred lines, The present study was conducted to assess the molecular diversity and population structure of 107 tropical maize inbred lines collected from working germplasm programs using SNP markers. A total of 97 genome-wide SNP markers were employed for genotyping through the KASP assay. The polymorphism information content (PIC) values ranged from 0.018 to 0.375 with an overall mean of 0.285, indicating that the majority of markers were moderately informative. Hierarchical clustering grouped the inbred lines into three major clusters, reflecting clear genetic differentiation among the tropical maize inbred lines. Principal component analysis (PCA) further validated these findings by identifying highly divergent lines Viz., AHG-122, CIMMYT-22, BHG-20 and AHG-110-1. The congruence between UPGMA clustering and PCA confirmed the robustness of the diversity analysis. These findings provide valuable insights into the genetic relationships among tropical maize inbreds and highlight the utility of SNP markers in guiding the selection of parental lines for hybrid development. | ||
| 546 | _aText in English | ||
| 597 |
_aClimate adaptation & mitigation _bAccelerated Breeding _cGenetic Innovation _dIndian Council of Agricultural Research (ICAR) _uhttps://hdl.handle.net/10568/178360 |
||
| 650 | 7 |
_aPolymorphism _2AGROVOC _93752 |
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| 650 | 7 |
_aSingle nucleotide polymorphisms _2AGROVOC _910805 |
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| 650 | 7 |
_aGenetic markers _2AGROVOC _91848 |
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| 650 | 7 |
_aInbred lines _2AGROVOC _91155 |
|
| 700 | 1 |
_aPatil, A. _93768 |
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| 700 | 1 |
_aKuchanur, P.H. _93769 |
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| 700 | 1 |
_aNair, S.K. _gGlobal Maize Program _8INT3232 _91434 |
|
| 700 | 0 |
_aB. Kisan _98274 |
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| 700 | 1 |
_aYeri, S. _940531 |
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| 700 | 1 |
_aVinayan, M.T. _gGlobal Maize Program _8INT3341 _9925 |
|
| 700 | 1 |
_aZaidi, P.H. _gGlobal Maize Program _8INT2823 _9862 |
|
| 773 | 0 |
_tJournal of Experimental Agriculture International _gv. 47, no. 10, p. 490-500 _dIndia : ScienceDomain International, 2025. _x2457-0591 |
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| 856 | 4 |
_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/36114 |
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| 942 |
_cJA _n0 _2ddc |
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| 999 |
_c69538 _d69530 |
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