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• W2068412391 abstract "ABSTRACT A randomly derived recombinant inbred line (RIL) population ( n = 163) from a cross between CIMMYT spring wheat ‘Attila’ and the Canadian ‘CDC Go’ was used to map quantitative trait loci (QTL) affecting various agronomic and quality traits. The experiment was also designed to investigate the feasibility of organic wheat breeding by determining selection differentials and the effect of Rht‐B1 in paired organic and conventional management systems. Heritability estimates differed between systems for five of nine traits measured; including grain yield, number of tillers, plant height, kernel weight, and grain protein content. Direct selection in each management system resulted in 50% or fewer selected individuals in common between the two systems, for eight of the nine (except for flowering time) studied traits. Most QTL were specific to either the organic or the conventional management system. However, consistent QTL for grain yield, grain volume weight, kernel weight, and days to flowering were mapped in both systems on chromosomes 6A, 1B, 3A, and 5B, respectively. The effect of Rht‐B1 was more pronounced in organic systems, where RILs carrying the wild‐type allele were taller, produced more grain yield with higher grain protein content, and suppressed weed biomass to a greater extent than those carrying dwarfing alleles. Results of the present study suggest that differences exist between the two management systems for QTL effects. Indirect selection of superior genotypes from one system to another will not result in the advancement of the best possible genotypes. Therefore, selection of spring wheat cultivars for organic systems should be conducted on organically managed lands." @default.
• W2068412391 created "2016-06-24" @default.
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• W2068412391 date "2015-05-01" @default.
• W2068412391 modified "2023-10-03" @default.
• W2068412391 title "Mapping QTL, Selection Differentials, and the Effect of<i>Rht-B1</i>under Organic and Conventionally Managed Systems in the Attila × CDC Go Spring Wheat Mapping Population" @default.
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• W2068412391 doi "https://doi.org/10.2135/cropsci2014.01.0080" @default.
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