000 | 03271nab a22005057a 4500 | ||
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999 |
_c16550 _d16550 |
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001 | G55498 | ||
003 | MX-TxCIM | ||
005 | 20240919020944.0 | ||
008 | 210615s1994 xxk|||p|op||| 00| 0 eng d | ||
022 | _a0931-2250 | ||
022 | _a1439-037X (Online) | ||
024 | 8 | _ahttps://doi.org/10.1111/j.1439-037X.1994.tb00578.x | |
040 | _aMX-TxCIM | ||
041 | 0 | _aEn | |
043 | _aDE | ||
072 | 0 | _aF30 | |
090 | _aCIS-2801 | ||
100 | 1 |
_a Villareal, R.L. _95595 |
|
245 | 1 | 0 | _aAgronomic variability in selected Triticum turgidum X T. tauschii synthetic hexaploid wheats |
260 |
_aUnited Kingdom : _bWiley, _c1994. |
||
340 | _aPrinted Computer File | ||
500 | _aPeer review | ||
500 | _aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0931-2250 | ||
520 | _aTwo trials were conducted at the Mexican National Institute of Agricultural Research Experiment Station at Yaqui Valley, Sonora, Mexico to investigate the nature and extent of agronomic variation in 50 synthetic hexaploid (SH) wheats (2n = 6x = 42, AABBDD) derived from Triticum turgidum (2n = 4x = 28. AABB) ×T. tauschii (In = 2x = 14, DD) crosses for subsequent use in wheat improvement. Plant height, spike length, days to flowering, physiological maturity, grain yield, above-ground biomass at maturity, harvest index, yield components and test weight were determined. Significant agronomic variation was observed among the germplasm evaluated. Outstanding SH genotypes were identified with higher grain yield, above-ground biomass at maturity, 1000-grain weight, and spikes m−2 than the bread wheat (Triticum aestivum L.) check cultivar Seri 82. Genotypic correlations of grain yield with other character traits show that grain m2 was the most important determinant of gram yield (r = 0.993). Data on agronomic traits subjected to complete linkage cluster analysis resulted in classifying the genotypes into two distinct phenotypic groups excluding Seri 82. Groups generally corresponded to durum progenitors of the SH with significant group differences for all characters. This demonstrates use of practical numerical analysis procedures to describe agronomic variation in representative SH genotypes. Clustering by quantitativy traits may be valuable for identification of genotypes with divergent sources for breeding and agronomic purposes. | ||
536 | _aGenetic Resources Program | ||
546 | _aText in English | ||
591 | _aR94ANALY|WP|3 | ||
594 | _aCCJL01 | ||
650 | 1 | 7 |
_aAgronomic characters _gAGROVOC _2 _91008 |
650 | 1 | 0 |
_aHexaploids _91146 |
650 | 1 | 0 |
_aMexico _946 |
650 | 1 | 0 | _aSampling |
650 | 1 | 0 | _aSonora |
650 | 1 | 0 |
_91298 _aTriticum turgidum _2AGROVOC |
650 | 1 | 7 |
_aVarieties _gAGROVOC _2 _91303 |
650 | 1 | 0 |
_aYield components _91312 |
650 | 1 | 7 |
_aTriticum _gAGROVOC _2 _91295 |
700 | 1 |
_aMujeeb-Kazi, A. _9221 |
|
700 | 1 |
_aDel Toro, E. _912406 |
|
700 | 1 |
_aCrossa, J. _gGenetic Resources Program _8CCJL01 _959 |
|
700 | 1 |
_9661 _aRajaram, S. |
|
773 | 0 |
_tJournal of Agronomy and Crop Science _n649391 _gv. 173, no. 5, p. 307-317 _dUnited Kingdom : Wiley, 1994. _wG444504 _x1439-037X |
|
856 | 4 |
_yAccess only for CIMMYT Staff _uhttps://hdl.handle.net/20.500.12665/770 |
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942 |
_cJA _2ddc _n0 |