
Genetic advance on tandem selection of several soybean genotypes
Author(s) -
Mohammad Setyo Poerwoko,
dan N. Sjamsijah
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 - 10.1088/1755-1315/672/1/012018
Subject(s) - selection (genetic algorithm) , biology , microbiology and biotechnology , plant breeding , population , agronomy , demography , computer science , machine learning , sociology
Soybean consumption in Indonesia continues to increase with increasing population. However, soybean production in Indonesia is still not able to fulfil domestic needs. Increasing soybean production both in quantity and quality continues to be done through plant breeding strategies. Selection is carried out to select suitable characters for breeding purposes. The effectiveness and efficiency of selection is influenced by the amount genetic advance. This study aims to determine the genetic advance of soybean by tandem selection. This research was conducted using fourteen treatments of the seventh generation of soybean plant genotypes with three replications. The selection method used was tandem selection. The data were obtained from observations of the agronomic characters of soybean plants selected from the tandem selection. The data was analyzed using variance, and then continued with the 5% Scott-Knott test, and genetic advance. The genetic advance resulted from this study were as follows: classified as low were flowering age with 4.94%, and harvesting age with 7.80%; classified as moderate was yield per plant with 12.36%; classified as high were plant height with 23.36%, the number of productive branches with 17.66%, the number of fertile nodes with 29.26%, 100 grain weight with 17.00%, and the number of pods planted with 27.67%.