| dc.creator | Shanshan Li | |
| dc.creator | Jiankang Wang | |
| dc.creator | Luyan Zhang | |
| dc.date | 2016-06-08T15:32:33Z | |
| dc.date | 2016-06-08T15:32:33Z | |
| dc.date | 2015 | |
| dc.date.accessioned | 2023-07-17T19:59:42Z | |
| dc.date.available | 2023-07-17T19:59:42Z | |
| dc.identifier | http://hdl.handle.net/10883/16840 | |
| dc.identifier | 10.1371/journal.pone.0132414 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/7510168 | |
| dc.description | Identification of environment-specific QTL and stable QTL having consistent genetic effects across a wide range of environments is of great importance in plant breeding. Inclusive Composite Interval Mapping (ICIM) has been proposed for additive, dominant and epistatic QTL mapping in biparental populations for single environment. In this study, ICIM was extended to QTL by environment interaction (QEI) mapping for multi-environmental trials, where the QTL average effect and QEI effects could be properly estimated. Stepwise regression was firstly applied in each environment to identify the most significant marker variables which were then used to adjust the phenotypic values. One-dimensional scanning was then conducted on the adjusted phenotypic values across the environments in order to detect QTL with either average effect or QEI effects, or both average effect and QEI effects. In this way, the genetic background could be well controlled while the conventional interval mapping was applied. An empirical method to determine the threshold of logarithm of odds was developed, and the efficiency of the ICIM QEI mapping was demonstrated in simulated populations under different genetic models. One actual recombinant inbred line population was used to compare mapping results between QEI mapping and single-environment analysis. | |
| dc.description | 1-22 | |
| dc.format | PDF | |
| dc.language | English | |
| dc.publisher | Public Library of Science | |
| dc.relation | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0132414#sec016 | |
| dc.rights | CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose. | |
| dc.rights | Open Access | |
| dc.source | 7 | |
| dc.source | 10 | |
| dc.source | PLoS ONE | |
| dc.subject | AGRICULTURAL SCIENCES AND BIOTECHNOLOGY | |
| dc.subject | ENVIRONMENT | |
| dc.subject | QUANTITATIVE TRAIT LOCI | |
| dc.subject | CHROMOSOME MAPPING | |
| dc.title | Inclusive composite interval mapping of QTL by environment interactions in biparental populations | |
| dc.type | Article | |
| dc.coverage | USA | |
