| 000 | 03402nab|a22004217a|4500 | ||
|---|---|---|---|
| 001 | 69536 | ||
| 003 | MX-TxCIM | ||
| 005 | 20251201112821.0 | ||
| 008 | 251119s2025 ii ||||| |||| 00| 0 eng d | ||
| 022 | _a2457-0591 | ||
| 024 | _ahttps://doi.org/10.9734/jeai/2025/v47i103820 | ||
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 100 | 0 |
_aSomanatha _940546 |
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| 245 | 1 | 0 | _aPhenotypic characterization and genetic diversity of sweet corn inbred lines |
| 260 |
_aIndia : _bScienceDomain International, _c2025. |
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| 500 | _aPeer review | ||
| 500 | _aOpen Access | ||
| 520 | _aAn experiment was conducted to evaluate genetic diversity among 23 sweet corn (Zea mays L. saccharata) inbred lines during rabi 2024 at the Main Agriculture Research Station, University of Agricultural Sciences, Raichur, Karnataka. The sweet corn inbred lines were evaluated in a randomized complete block design with two replications. Observations were recorded on key traits and data were analyzed for variability, clustering and principal component analysis (PCA). Analysis of variance revealed significant differences among inbreds, indicating the presence of substantial genetic variability. High genotypic and phenotypic coefficients of variation were observed for kernels per row and kernel rows per cob, while seed weight showed narrow variability. High heritability coupled with high genetic advance for kernels per row and kernel rows per cob suggested the predominance of additive gene action, highlighting the effectiveness of direct selection. Cluster analysis grouped the sweet corn inbreds into three distinct clusters, with maximum inter-cluster divergence observed between Cluster I and Cluster III, providing greater scope for heterotic hybrid development. Cluster mean analysis revealed trait-specific superiority i.e. Cluster I for yield traits, Cluster II for sweetness and Cluster III for kernel compactness. PCA indicated that the first three components accounted for 79.77% of total variation, with cob yield traits contributing predominantly, followed by phenological and quality traits. Promising divergent sweet corn genotypes such as SC-22, SC-30, SC-14 and SC-20 were identified as potential parents. The identified heterotic groups provide a strong genetic basis for parental selection and heterosis exploitation in sweet corn breeding. | ||
| 546 | _aText in English | ||
| 597 |
_aClimate adaptation & mitigation _bAccelerated Breeding _cGenetic Innovation _dIndian Council of Agricultural Research (ICAR) _uhttps://hdl.handle.net/10568/178389 |
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| 650 | 7 |
_aCluster sampling _2AGROVOC _916913 |
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| 650 | 7 |
_aGenetic variation _2AGROVOC _91129 |
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| 650 | 7 |
_aHeterotic groups _2AGROVOC _929280 |
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| 650 | 7 |
_aInbred lines _2AGROVOC _91155 |
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| 650 | 7 |
_aPrincipal component analysis _2AGROVOC _930383 |
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| 650 | 7 |
_aMorphology _2AGROVOC _910676 |
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| 650 | 7 |
_aSweet corn _2AGROVOC _910976 |
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| 700 | 1 |
_aPatil, A. _93768 |
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| 700 | 1 |
_aKuchanur, P.H. _93769 |
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| 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 |
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| 700 | 1 |
_aZaidi, P.H. _gGlobal Maize Program _8INT2823 _9862 |
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| 773 | 0 |
_tJournal of Experimental Agriculture International _gv. 47, no. 10, p. 350-360 _dIndia : ScienceDomain International, 2025. _x2457-0591 |
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| 856 | 4 |
_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/36113 |
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| 942 |
_cJA _n0 _2ddc |
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| 999 |
_c69536 _d69528 |
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