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[Objective] The objective was to research the quality evaluation of Chinese wheat variety which analyzed in Europe laboratory, discuss the quality analysis standard of different countries. [Method] Two leading varieties (Yangnong19, Ji-mai22) of Huanghuai wheat area from China were analyzed in Cra-w (Walloon Agricultural Research Centre). [Result] Yannong19 corresponds to amuchstronger flour with a far better gluten quality. It could be used for bread making. It could also be used to produce good quality gluten. Jimai22 is not suitable for bread making but would probably be better for noodles production. [Conclusion] Protein results which come from NIR instrument are over estimating the content. This is probably due to the fact that Europe instruments are calibrated with European wheat. [ABSTRACT FROM AUTHOR]

Background: Black point is a serious threat to wheat production and can be managed by host resistance. Marker-assisted selection (MAS) has the potential to accelerate genetic improvement of black point resistance in wheat breeding. We performed a genome-wide association study (GWAS) using the high-density wheat 90 K and 660 K single nucleotide polymorphism (SNP) assays to better understand the genetic basis of black point resistance and identify associated molecular markers. Results: Black point reactions were evaluated in 166 elite wheat cultivars in five environments. Twenty-five unique loci were identified on chromosomes 2A, 2B, 3A, 3B (2), 3D, 4B (2), 5A (3), 5B (3), 6A, 6B, 6D, 7A (5), 7B and 7D (2), respectively, explaining phenotypic variation ranging from 7.9 to 18.0%. The highest number of loci was detected in the A genome (11), followed by the B (10) and D (4) genomes. Among these, 13 were identified in two or more environments. Seven loci coincided with known genes or quantitative trait locus (QTL), whereas the other 18 were potentially novel loci. Linear regression showed a clear dependence of black point scores on the number of favorable alleles, suggesting that QTL pyramiding will be an effective approach to increase resistance. In silico analysis of sequences of resistance-associated SNPs identified 6 genes possibly involved in oxidase, signal transduction and stress resistance as candidate genes involved in black point reaction. Conclusion: SNP markers significantly associated with black point resistance and accessions with a larger number of resistance alleles can be used to further enhance black point resistance in breeding. This study provides new insights into the genetic architecture of black point reaction. [ABSTRACT FROM AUTHOR]