
Selection and evaluation the corn lines from multiple-cross progeny based on targeted selection environment on acid soil
Author(s) -
Amin Nur,
Muhammad Riadi,
Annalee Yassi,
Muh Farid,
Muhammad Fuad Anshori,
A K Akfindarwan
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/911/1/012016
Subject(s) - selfing , selection (genetic algorithm) , randomized block design , biology , hybrid , microbiology and biotechnology , population , genetic diversity , agronomy , computer science , artificial intelligence , demography , sociology
Development of tolerant variety can be conducted in the targeted area. It will increase efficiency in producing the acid-tolerant lines. However, the availability of diversity is key in selection. Multiple crosses or crosses between F1 hybrids can be one approach in creating high population diversity. Therefore, the development and selection of offspring of the selfing 1 generation from a cross of two hybrids can be a solution in producing tolerant lines. This study aimed to select multiple-cross maize lines in the generation S1 in an acidic environment. The research was carried out from August to November 2019 at the Maros Cereal Research Center, South Sulawesi. This study was designed with an Augmented Design as an experimental design and a randomized block design as an environmental design. The lines used consisted of 100 S1 lines from crosses of NK7328/HJ28 that did not repeat and six comparison varieties, namely NK7328, HJ28, Sukmaraga, Srikandi Kuning, Bima-9, and Piooner 36 repeated in each block. Based on the results of this study, the evaluation of maize S1 lines under acid soil showed a good variability, especially on generative traits. The ear weight is the best secondary character supported the Grain weight per Ear as the main character. The result of selection showed that 20 S1 lines recommended to selfing cross for continued on the next generation.