Open AccessGenotype by yield*trait biplot analysis to evaluate Jatropha curcas genotypes based on multiple traits
Author(s) -
Rully Dyah Purwati,
Tantri Dyah Ayu Anggraeni,
M. Machfud
Publication year - 2022
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/974/1/012013
Subject(s) - biplot , inflorescence , jatropha curcas , biology , trait , yield (engineering) , genotype , agronomy , jatropha , breeding program , plant breeding , horticulture , cultivar , biochemistry , materials science , gene , computer science , biodiesel , metallurgy , programming language , catalysis
Jatropha hybridization conducted in ISFCRI has resulted in genotypes with various agronomic traits. The biplot analysis was used to evaluate the relationship between agronomic and yield trait, the genotype by trait (GT), and genotype by yield*trait (GYT). Ten genotypes were planted in Pasirian, Lumajang, East Java from 2018 to 2019. Ten parameters were observed namely: plant height, harvest time, number of branches per plant (primary, secondary and tertiary branches), inflorescence number per plant, fruit cluster number per plant, fruit number per plant, 100 seed weight, and seed weight per plant. Based on GT biplot and Pearson Correlation, there was a strong positive correlation between yield and plant height, tertiary branch, fruit cluster, inflorescence number, and seed weight. The GYT biplot showed that genotype No. 6 had the best performance in combining yield and primary branch, secondary branch, and inflorescent number. The genotype No. 10 had the largest values in combining yield with the seven other traits. In this study, the GYT biplot approach can be used to identify the best genotypes in correlation between yield with other traits. Therefore, this approach can be applied to overcome the problem of genotypes selection based on several traits, in the Jatropha breeding program.