U.S. flagAn official website of the United States government
                    Here's how you know **Official websites use .gov**
                            
                            A **.gov** website belongs to an official government organization in the United States.
 **Secure .gov websites use HTTPS**
                            
                            A **lock** (                            
                              A locked padlock                                                      
                            
                            ) or **https://** means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.


Menu Agricultural Research Service
						
                    U.S. DEPARTMENT OF AGRICULTURE
 Crop Germplasm Research: College Station, TX
 close



    Research

                    Research Projects
                                    Publications
                                    Collaborations
                                    News
                People

                    Staff Listing
                                    CareersSearch small
                    Search
            
            ARS Home
                                About ARS
                                Contact Us




ARS Home Plains Area College Station, Texas Southern Plains Agricultural Research Center Crop Germplasm Research Research Publications at this Location





- ARS National Programs
- Search for a scientific manuscript
- Search for a research project
- ARS Software
- Programs and Projects
- Collaborations
- Subjects of Investigation
- Publications

Title:   Author  item
                                            Yu, Johnitem
                                            Ulloa, Mauricioitem
                                            HOFFMAN, STEVEN - Texas A&M Universityitem
                                            Kohel, Russellitem
                                            PEPPER, ALAN - Texas A&M Universityitem
                                            Fang, Daviditem
                                            Percy, Richarditem
                                            Burke, John
  Submitted to: Molecular Genetics and Genomics
                                    Publication Type: Peer Reviewed Journal
                                    Publication Acceptance Date: 9/20/2014
                                    Publication  Date: 11/18/2014
                                    Citation: Yu, J., Ulloa, M., Hoffman, S.M., Kohel, R.J., Pepper, A.E., Fang, D.D., Percy, R.G., Burke, J.J. 2014. Mapping genomic loci for cotton plant architecture, yield components, and fiber properties in an interspecific (Gossypium hirsutum L. x G. barbadense L.) RIL population. Molecular Genetics and Genomics. 289:1347-1367.Interpretive Summary: Understanding of genetic variation that confers plant growth and fiber yield and quality is essential for cotton improvement.  However, most of these traits are quantitatively inherited and are conferred by multiple genes located in different parts of the cotton genome.  With our recent development of a high-density genetic map of 2,500 molecular markers, we analyzed the phenotypic data of 24 morphological, yield, and fiber traits that were collected from an inter-specific mapping population of 186 recombinant inbred lines (RILs) grown in three diverse environments.  We identified 383 putative loci that were mapped in 159 genomic regions, of which 75 loci had strong association with phenotypic variation.  Several clusters of these loci, called quantitative trait loci (QTL), were discovered in cotton chromosomes.  The information gained from this study will help cotton researchers understand and exploit desirable genetic variation for cotton.  Molecular markers associated with these QTL clusters will be useful in dissecting genetic factors underlying these traits and in marker-assisted selection to improve the cotton plant with higher yield and better quality of the world's most important natural fiber.
                                Technical Abstract: A quantitative trait loci (QTL) analysis was conducted to better understand the genetic control of plant architecture (PA), yield components (YC), and fiber properties (FP) in the two cultivated tetraploid species of cotton (Gossypium hirsutum L. and G. barbadense L.).  Genomic regions were identified on a saturated genetic map of  more than 2,500 SSR and SNP markers constructed using an interspecific RIL population derived from the genetic standards of the respective cotton species (G. hirsutum acc.  TM-1 x G. barbadense acc. 3-79).  Using the single-nonparametric and MQM QTL model mapping procedures, we detected 383 putative loci and further confirmed 159 genomic regions that confer 24 cotton traits in three diverse environments [College Station F&B Road (FB), TX, Brazos Bottom (BB) TX, and Shafter (SH), CA].  These putative QTL loci included 62 loci for PA, 79 for YC, and 242 for FP, of which3, 12, and 60, respectively, were strongly associated to the traits (LOD score >/= 3.0).  Approximately 17.7% of the PA putative QTL, 32.9% of the YC QTL, and 48.3% of the FP QTL had trait associations under multiple environments.  The At subgenome (chromosomes 1-13) contributed 72.7% of loci for PA, 46.2% for YC, and 50.4% for FP while the Dt subgenome (chromosomes 14-26) contributed 27.3% of loci for PA, 53.8% for YC, and 49.6% for FP.  The data obtained from this study augment prior evidence of QTL clusters or gene islands for specific traits or functions existing in several cotton chromosomes.  DNA markers identified in the 159 genomic regions will facilitate further dissection of genetic factors underlying these traits and marker-assisted selection in cotton.


Return to top


Connect with ARS Sign up


ARS Home
                            USDA.gov
                            Plain Writing
                            Policies & Links
                            Civil Rights Statements
                            FOIA
                            Accessibility Statement
                            Privacy Policy
                            Non-Discrimination Statement
                            Quality of Information
                            USA.gov
                            WhiteHouse.gov