Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Stability Analysis and Identification of High-Yielding Amaranth Accessions for Varietal Development Under Various Agroecologies of Malawi

Version 1 : Received: 1 October 2023 / Approved: 4 October 2023 / Online: 4 October 2023 (05:04:02 CEST)

How to cite: Nyasulu, M.; Chimzinga, S.Z.; Maliro, M.; Kamanga, R.M.; Medison, R.G.; Sefasi, A. Stability Analysis and Identification of High-Yielding Amaranth Accessions for Varietal Development Under Various Agroecologies of Malawi. Preprints 2023, 2023100202. https://doi.org/10.20944/preprints202310.0202.v1 Nyasulu, M.; Chimzinga, S.Z.; Maliro, M.; Kamanga, R.M.; Medison, R.G.; Sefasi, A. Stability Analysis and Identification of High-Yielding Amaranth Accessions for Varietal Development Under Various Agroecologies of Malawi. Preprints 2023, 2023100202. https://doi.org/10.20944/preprints202310.0202.v1

Abstract

Amaranth has the potential to support Malawi's food and nutrition security, income generation and livelihoods, and climate change resilience efforts. Due to the high genetic variability of Ama-ranth, there is a need to develop stable and high-yielding genotypes for sustainable production. To determine the degree of genetic stability in different environments, five Amaranth accessions were subjected to stability analysis. The experiment was carried out at three sites (Bunda, Bembeke, and Chipoka) for two seasons in 2020-2021 in the central region of Malawi. It was laid out in Ran-domized Complete Block Design (RCBD) with four replicates. Eberhart and Russell linear regres-sion model was used for stability analysis and Pearson correlation was used to test the relationship between variables. Environmental variance + (genotype x environment) was significant for four of the parameters studied, namely grain yield, plant height, leaf length, and leaf width, indicating the presence of a remarkable interaction between genotypes and environment. The results of a pooled analysis of variance showed significant differences at a 5% significance level among the Amaranth accessions, indicating inherent genetic variability. Using the linear regression model of Eberhart and Russell, accessions PE-LO-BH -01 and LL-BH -04 were identified as the highest yielding stable genotypes for leaf and grain yield, respectively. In addition, Bembeke site was the most favourable environment for all the accessions. Thus, to enhance the production of amaranth in Malawi, LL-BH-04 and PE-LO-BH-01 were put forward for release as varieties for grain and leaf respectively. These results will also guide and support for future breeding programs.

Keywords

amaranth; environmental index; linear regression; stability

Subject

Biology and Life Sciences, Agricultural Science and Agronomy

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.