<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>15</volume><submitter>Peng B</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>Chalkiness is a major constraint in rice production because it is one of the key factors determining grain quality (appearance, processing, milling, storing, eating, and cooking quality) and price. Its reduction is a major goal, and the primary purpose of this study was to dissect the genetic basis of grain chalkiness. Using five populations across two environments, we also sought to determine how many quantitative trait loci (QTL) can be consistently detected. We obtained an integrated genetic map using the data from five mapping populations and further confirmed the reliability of the identified QTL.&lt;h4>Results&lt;/h4>A total of 79 QTL associated with six chalkiness traits (chalkiness rate, white core rate, white belly rate, chalkiness area, white core area, and white bel</pubmed_abstract><journal>BMC genetics</journal><pagination>49</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC4021085</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Comparative mapping of chalkiness components in rice using five populations across two environments.</pubmed_title><pmcid>PMC4021085</pmcid><pubmed_authors>Li Y</pubmed_authors><pubmed_authors>He Y</pubmed_authors><pubmed_authors>Peng B</pubmed_authors><pubmed_authors>Jiang G</pubmed_authors><pubmed_authors>Luo L</pubmed_authors><pubmed_authors>Fan C</pubmed_authors><pubmed_authors>Wang L</pubmed_authors></additional><is_claimable>false</is_claimable><name>Comparative mapping of chalkiness components in rice using five populations across two environments.</name><description>&lt;h4>Background&lt;/h4>Chalkiness is a major constraint in rice production because it is one of the key factors determining grain quality (appearance, processing, milling, storing, eating, and cooking quality) and price. Its reduction is a major goal, and the primary purpose of this study was to dissect the genetic basis of grain chalkiness. Using five populations across two environments, we also sought to determine how many quantitative trait loci (QTL) can be consistently detected. We obtained an integrated genetic map using the data from five mapping populations and further confirmed the reliability of the identified QTL.&lt;h4>Results&lt;/h4>A total of 79 QTL associated with six chalkiness traits (chalkiness rate, white core rate, white belly rate, chalkiness area, white core area, and white bel</description><dates><release>2014-01-01T00:00:00Z</release><publication>2014 Apr</publication><modification>2025-04-05T10:37:57.388Z</modification><creation>2019-03-27T01:28:12Z</creation></dates><accession>S-EPMC4021085</accession><cross_references><pubmed>24766995</pubmed><doi>10.1186/1471-2156-15-49</doi></cross_references></HashMap>