Genetic diversity and gain quantitative characters of maize from index-based selection at two dry lands in Lombok, Indonesia

4Citations
Citations of this article
15Readers
Mendeley users who have this article in their library.

Abstract

Genetic diversity and gain quantitative characters of maize from index-based selection at dry land is poorly reported. This research aims to study the genetic diversity and gain of several traits quantitative of the index-based selection at two dry lands in Amor-Amor and Pererenan, Lombok, Indonesia. A randomized block design with three replications was applied to design the experiment. The materials used is maize from nine populations, namely eight populations from the selection of index-based and one from the initial population. The data were analyzed for variance at the 5% significance level. The results showed that the genetic diversity of yields was categorized as moderate, and the weight of dry cobs harvested per plant was narrow in both locations. The genetic diversity of fresh stover weight per plant in Pererenan was wider than in Amor-Amor, but still in the same category, which was medium. These three traits had a significant genetic gain in the moderate category for both locations, except for the weight of fresh stover per plant, which was high in Pererenan. The dry seed weight per plant had a moderate genetic diversity and gain with a significant positive phenotypic correlation with yield. Yield and fresh stover per plant can still be increased through index-based selection by using dry seed weight per plant and fresh stover per plant in both locations.

Cite

CITATION STYLE

APA

Sudika, I. W., Soemeinaboedhy, I. N., & Sutresna, I. W. (2023). Genetic diversity and gain quantitative characters of maize from index-based selection at two dry lands in Lombok, Indonesia. Biodiversitas, 24(1), 11–19. https://doi.org/10.13057/biodiv/d240102

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free