Open AccessMejoramiento de la línea MLS4-1 de maíz (Zea mays L.) a través del método de retrocruza.
Author(s) -
Jesús Arreola,
Gustavo Burciaga,
José Ricardo Gutiérrez,
Cristina Vega,
Enrique Navarro
Publication year - 2016
Publication title -
agronomía mesoamericana (impresa)/revista agronomía mesoamericana/agronomía mesoamericana
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.124
H-Index - 2
eISSN - 1659-1321
pISSN - 1021-7444
DOI - 10.15517/am.v7i1.24791
Subject(s) - backcrossing , zea mays , population , line (geometry) , biology , inbred strain , microbiology and biotechnology , humanities , mathematics , agronomy , sociology , genetics , demography , art , geometry , gene
This research work involves the improvement of the male line MLS4-1 of the hybrid AN-388 which was released by the Instituto Mexicano del Maíz of the Universidad Autónoma Agraria “Antonio Narro”. This line has excellent combining ability with other parental lines; however, it is susceptible to some diseases so that we are interested in improving it by using the backcross procedure. The Nepo population was used as a source population which is resistant to mildew spp. Three backcrosses and two recombinations were practiced before deriving lines and cross them with some testers. The objectives of this work were: 1. To evaluate the performance of recovered lines in combination with the original line MLS4-1, and with un-related testers, taking into account their combining ability and agronomic traits in relation to the hybrid AN-388, 2. To now the effectiveness of the backcross method to improve the MLS4-1 line. The results of this study allowed us to identify superior recovered lines that, in combination with the diverse testers, exceeded the agronomic value of thehybrid AN-388. Some recovered lines crossed with the MLS4-1 line produced excellent single crosses, indicating the possibility of getting new versions of the hybrid AN-388. Finally, we conclude that the improvement of the MLS4-1 line has permitted us to identify the best lines with higher combining ability and better agronomic traits.