Transposable element polymorphisms improve prediction of complex agronomic traits in rice.

"availability of data and materials all data generated and software used during this study are included in a github site https://github com/ivourlaki/transposable-element-polymorphisms-improve-prediction-of-complex-agronomic-traits-in-rice git ."

"availability of data and materials all data generated and software used during this study are included in a github site https://github com/ivourlaki/transposable-element-polymorphisms-improve-prediction-of-complex-agronomic-traits-in-rice git ."

"Declarations Conflict of interestThe authors declare that they have no conflict of interest. Conflict of interest The authors declare that they have no conflict of interest."

"Funding Open Access Funding provided by Universitat Autonoma de Barcelona. The project was funded by Ministry of Science and Innovation-State Research Agency (AEI, Spain, 10.13039/501100011033) grant numbers PID2019-106374RB-I00 to JMC, PID2020-119255 GB-I00 to SERO and PID2019-108829RB-I00 to MPE. ITV is supported by a predoctoral fellowship funded by MCIN/AEI/10.13039/501100011033 through the Grant BES-2017–081139 and by “ESF Investing in your future.” RC holds a Juan de la Cierva Incorporación Postdoctoral fellowship funded by the Spanish Ministry of Science and Innovation-State Research Agency. This work was also supported by grant CEX2019-000902-S funded by MCIN/AEI/10.13039/501100011033 and by the CERCA Programme/Generalitat de Catalunya (Spain)."