| dc.description.abstract | Rice is the most important staple food crop and serves as the primary staple
food in Indonesia, making it a strategic commodity. The continuously increasing
population growth drives the demand for rice to increase. This study aims to
analyze the effect of Biosaka application on the growth and production of several
rice varieties (Oryza sativa L.), namely IR64, Ciherang, and Inpari 32. The
research was conducted at the Greenhouse of the Faculty of Agriculture, University
of North Sumatra, from September to March 2024. The experimental design used
was a factorial randomized block design (RBD) consisting of two treatment factors
with three replications The treatment factor for varieties consists of 3 levels: IR64,
Ciherang, and INPARI32. The second factor, biosaka treatment, consists of 3
levels: control, soaking, and spraying.. Observed variables included plant height,
number of tillers, leaf color, number of productive tillers, flowering age total
panicle, panicle length, panicle weight, weight of filled grains per clump, weight of
100 grains, percentage of filled grains, percentage of empty grains, and harvest
age. Data were analyzed using analysis of variance (ANOVA) and further tested
with Duncan's Multiple Range Test (DMRT) at a 5% significance level. The results
showed no interaction between Biosaka treatment and varieties. The application of
biosaka did not significantly affect rice plant growth; however, biosaka
significantly affects the weight of 100 grains of rice, the percentage of filled grain
weight, and the percentage of empty grain weight. The biosaka treatments
(P1 and P2) have a higher percentage of filled grain weight compared to the control
and a lower percentage of empty grain weight compared to the control. The weight
of 100 grains of rice in the biosaka treatments is higher than in the control, with
the highest being in treatment P2 (rice plants sprayed with biosaka). The research
results also show that the Ciherang variety provides the best results compared to
IR64 and Inpari 32 in the variables of filled grain weight per clump, the weight of
100 grains of rice, and the percentage of filled grain weight. | en_US |
