Stability and performance analysis of storage root yield in a dataset of sweet potato varieties (Ipomoea batatas L.)

Zakaria Alam; Sanjida Akter; Md Anwar Hossain Khan; Md Shamshul Alam; Md Nazmul Islam; Abul Fazal Mohammad Shamim Ahsan; Mohammad Saidur Rahman; Md Babul Anwar; Mousumi Sultana; S M Kamrul Hasan Chowdhury; Mohammad Quamrul Islam Matin; A K M Zonayed-Ull-Noor; Mohammad Mainuddin Molla; Umakanta Sarker

doi:10.1016/j.dib.2024.110493

Stability and performance analysis of storage root yield in a dataset of sweet potato varieties (Ipomoea batatas L.)

Data Brief. 2024 May 8:54:110493. doi: 10.1016/j.dib.2024.110493. eCollection 2024 Jun.

Authors

Affiliations

¹ Bangladesh Agricultural Research Institute, Gazipur-1701, Bangladesh.
² Bangladesh Rice research Institute, Bangladesh.
³ Bangabandhu Sheikh Mujibur Rahman Agricultural University, Bangladesh.

Abstract

The dataset focuses on evaluating the performance of 17 sweet potato varieties (G) released by the Bangladesh Agricultural Research Institute (BARI) in terms of storage root yield and stability across five locations (E) in Bangladesh-Gazipur, Bogura, Jamalpur, Jashore, and Chattogram. The result revealed that BARI Mistialu-12 exhibited the highest average storage root yield at 45.35 t/ha, closely followed by BARI Mistialu-16 at 44.64 t/ha. Conversely, BARI Mistialu-1 had the lowest mean yield of 25.99 t/ha. Among the locations, Bogura recorded the highest mean root yield at 37.05 t/ha, while Chattogram exhibited the lowest at 31.27 t/ha. A combined analysis of variance revealed the presence of variability in storage root yield attributed to the genotype-location (environment) interaction (GEI). To delve deeper into this interaction, additive and multiplicative interaction effect models (AMMI) along with a linear mixed model (LMM) were employed for further investigations to confirm the significant contribution of GEI variance to root yield. The LMM results showed genetic variance (%), heritability (%), selection accuracy (%), and GEI correlation coefficients of 52.27, 54, 94, and 30, respectively. The AMMI analysis indicated that the first two principal components accounted for 74.60 % of GEI, with 20.16 % attributed to it. Assessing significant Interaction Principal Component Analyses (IPCAs) through the Weighted Average of Absolute Scores (WAAS) indicated that BARI Mistialu-12 is the most stable genotype, followed by BARI Mistialu-16 and BARI Mistialu-8, all displaying above-average root yield. The mega-environment analysis associated the highest root production of BARI Mistialu-11 and BARI Mistialu-2 with the Jamalpur location, while Gazipur, Bogura, and Jashore were linked with the superior performance of BARI Mistialu-12 and BARI Mistialu-16 genotypes. These findings are crucial for future breeding programs and the rapidly growing sweet potato industry, given the stable high-yield potential across diverse agro-ecological conditions. However, it is imperative to repeat the study to ensure reliable outcomes.

Keywords: AMMI analysis; GGE biplot; Genetic parameter; Genotype by environment interaction (GEI); WAAS biplot.