| 000 | 02694nab a22003737a 4500 | ||
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| 999 |
_c62711 _d62703 |
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| 001 | 62711 | ||
| 003 | MX-TxCIM | ||
| 005 | 20211006073918.0 | ||
| 008 | 190815s2020 xxk|||p|op||| 00| 0 eng d | ||
| 022 | _a0906-4710 | ||
| 022 | _a1651-1913 (Online) | ||
| 024 | 8 | _ahttps://doi.org/10.1080/09064710.2020.1818818 | |
| 040 | _aMX-TxCIM | ||
| 041 | 0 | _aeng | |
| 100 | 1 |
_916370 _aThungo, Z. |
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| 245 | 1 | 0 | _aGenetic relationship among selected heat and drought tolerant bread wheat genotypes using SSR markers, agronomic traits and grain protein content |
| 260 |
_aUnited Kingdom : _bTaylor and Francis, _c2020. |
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| 500 | _aPeer review | ||
| 520 | _aAssessing the genetic variation and relationships present in crop germplasm is a pre-requisite for parental selection and breeding. The objective of this study was to determine the genetic relationships present among selected heat and drought tolerant wheat genotypes using simple sequence repeat (SSR) markers, agronomic traits and grain quality parameters to select desirable parents for breeding. Twenty-four agronomically selected wheat genotypes sourced from the International Maize and Wheat Improvement Centre (CIMMYT)’s heat and drought tolerance nursery and four local check varieties were genotyped using 12 selected polymorphic SSR markers. The test genotypes were phenotyped using yield and yield-component traits, and grain protein content (GPC) under non-stressed (NS) and drought-stressed (DS) conditions. Expected heterozygosity mean value of 0.58 indicated moderate genetic diversity for breeding. The studied wheat genotypes were delineated into six genetic groups using cluster analysis. Significant genotypic differences were observed for agronomic traits and GPC under NS and DS conditions. Genetically unrelated breeding parents including LM02, LM13, LM23, LM41, LM44, LM71, LM73 and LM75 were selected for population development and breeding for enhanced grain yield and protein content under heat and drought-stressed environments. | ||
| 546 | _aText in English | ||
| 650 | 7 |
_2AGROVOC _93448 _aAbiotic stress |
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| 650 | 7 |
_2AGROVOC _91125 _aGenetic diversity |
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| 650 | 7 |
_2AGROVOC _92091 _aGenetic gain |
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| 650 | 7 |
_2AGROVOC _91138 _aGrain |
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| 650 | 7 |
_2AGROVOC _92261 _aMicrosatellites |
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| 650 | 7 |
_2AGROVOC _91296 _aTriticum aestivum |
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| 650 | 7 |
_aCrop yield _gAGROVOC _2 _91066 |
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| 700 | 1 |
_92255 _aShimelis, H. |
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| 700 | 1 |
_916371 _aOdindo, A. |
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| 700 | 1 |
_916372 _aMashilo, J. |
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| 700 | 1 |
_916373 _aShayanowako, A. |
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| 773 | 0 |
_dUnited Kingdom : Taylor and Francis, 2020. _gv. 70, no. 7, p. 594-604 _tActa Agriculturae Scandinavica : section B, Soil and Plant Science _wu445348 _x0906-4710 |
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| 942 |
_2ddc _cJA _n0 |
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