Identification of agronomic characters effecting cob weight of the families BTP1-X purple sweet corn (Zea mays L. Saccharata Sturt) using path analysis

Arsyad, Fatimah and Basunanda, Panjisakti (2020) Identification of agronomic characters effecting cob weight of the families BTP1-X purple sweet corn (Zea mays L. Saccharata Sturt) using path analysis. In: 1st International Conference on Sustainable Cereals and Crops Production Systems in the Tropics, ICFST 2019, 23 September 2019, Makassar.

[thumbnail of Arsyad_2020_IOP_Conf._Ser.__Earth_Environ._Sci._484_012011.pdf] Text
Arsyad_2020_IOP_Conf._Ser.__Earth_Environ._Sci._484_012011.pdf
Restricted to Registered users only

Download (1MB) | Request a copy

Abstract

Food security and climate change in Indonesia pose their challenges for Indonesia. Germplasm exploitation is one of the solutions to solve these problems. Purple sweet corn is germplasm that has not been widely developed in Indonesia. Plant adaptation is important to comprehend so that plans can be developed. The study was conducted in two seasons, on the first season (February), this study was conducted in Cangkringan and on the second season (September) was in Pleret. The study was carried out using open-pollinated purple sweet corn seeds with 20 cobs selected based on the color of the seeds and the surface of the wrinkled seeds. Path analysis was performed to each variable to see the direct and indirect effects on the results. The results showed that the ability of the five growth variables influenced cob weight by 77.8. Based on path analysis, it is known that the variable of cob length and cob diameter directly influences the cob weight. On the other side, the plant height, cob height, and the number of cob per plant have an indirect effect on the cob weight. The influence of the cob diameter variable on the cob weight gives the highest percentage compared to other variables, which is equal to 58.7.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Library Dosen
Uncontrolled Keywords: Climate change; Crops; Food supply; Food security; Germplasms; Growth variables; Indirect effects; Path analysis; Plant adaptation; Plant height; Sweet corns; Regression analysis
Subjects: S Agriculture > S Agriculture (General)
Divisions: Faculty of Agriculture > Department of Plant Protection
Depositing User: Sri JUNANDI
Date Deposited: 17 Apr 2025 06:16
Last Modified: 17 Apr 2025 06:16
URI: https://ir.lib.ugm.ac.id/id/eprint/15133

Actions (login required)

View Item
View Item