Grain yield potential strategies in an elite wheat double - haploid population grown in contrasting environments
The understanding of ecophysiological basis of wheat [Triticum aestivum L.] grain yield potential provides a useful framework to complement conventional breeding aimed at achieving genetic gains. This study analyzed the ecophysiological performance of an elite wheat mapping population [105 double-ha...
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| Acceso en línea: | http://ri.agro.uba.ar/files/intranet/articulo/2013garcia1.pdf LINK AL EDITOR |
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| 008 | 181208t2013 |||||o|||||00||||eng d | ||
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| 022 | |a 0011-183X | ||
| 024 | |a 10.2135/cropsci2012.11.0669 | ||
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| 245 | 1 | 0 | |a Grain yield potential strategies in an elite wheat double - haploid population grown in contrasting environments |
| 520 | |a The understanding of ecophysiological basis of wheat [Triticum aestivum L.] grain yield potential provides a useful framework to complement conventional breeding aimed at achieving genetic gains. This study analyzed the ecophysiological performance of an elite wheat mapping population [105 double-haploid lines derived from two modern cultivars, Bacanora and Weebil, with similar phenology but different and stable combinations of grain number per area unit [GN] and grain weight [GW] resulting in high grain yield] grown in four contrasting high-yielding environments, to determine the most successful strategies to increase grain yield potential. Main effect of environment on grain yield was significant [p less than 0.0001] but the genotypic component was larger than genotype x environment interaction [30 percent]. A robust and positive relationship between grain yield and biomass production was observed across all environments [r2 greather than 0.82, p less than 0.0001], and relatively high harvest indexes were expressed [0.39-0.51]. While GN was clearly the dominant numerical component in terms of association with grain yield [r2 greather than 0.51, p less than 0.0001], a wide range in both components [i.e., GN and GW] was observed across all environments. This population represents a valuable resource for prebreeding studies, as the transgressive segregation in physiological and numerical yield components in combination with favorable expression of all agronomic traits could allow a fine phenotyping and mapping to identify key traits and quantitative trait loci linked with grain yield. | ||
| 650 | |2 Agrovoc |9 26 | ||
| 653 | |a GRAIN | ||
| 653 | |a WHEAT | ||
| 653 | |a ENVIRONMENTAL | ||
| 653 | |a HAPLOID | ||
| 700 | 1 | |a García, Guillermo Ariel |9 29116 | |
| 700 | 1 | |a Hasan, Ahmed K. |9 72465 | |
| 700 | 1 | |9 11394 |a Puhl, Laura Elena | |
| 700 | 1 | |a Reynolds, Matthew P. |9 45453 | |
| 700 | 1 | |9 7947 |a Calderini, Daniel Fernando | |
| 700 | 1 | |9 6438 |a Miralles, Daniel Julio | |
| 773 | |t Crop Science |g Vol.53, no.6 (2013), p.2577-2587 | ||
| 856 | |u http://ri.agro.uba.ar/files/intranet/articulo/2013garcia1.pdf |i En reservorio |q application/pdf |f 2013garcia1 |x MIGRADOS2018 | ||
| 856 | |u https://www.wiley.com/ |x MIGRADOS2018 |z LINK AL EDITOR | ||
| 942 | 0 | 0 | |c ARTICULO |
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