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Evaluation of Rapeseed Lines for Seed Yield Stability

Md. Alamgir Miah
Plant Breeding Division, Regional Agricultural Research Station, Jessore, Bangladesh

Md. Golam Rasul
Department of Genetics and Plant Breeding, Bangabandhu Sheikh Mujibur Rahman AgriculturalUniversity, Gazipur, Bangladesh

Md. Abdul Khaleque Mian
Department of Genetics and Plant Breeding, Bangabandhu Sheikh Mujibur Rahman AgriculturalUniversity, Gazipur, Bangladesh

Md. Motiar Rohman
Plant Breeding Division, Bangladesh Agricultural Research Institute, Gazipur, Bangladesh

Abstract/ Executive Summary:

Stable performance of rapeseed genotypes at a specific growing environment is critical for obtaining high and stable yield. The objectives of this study were to evaluate seed yield stability of sixteen rapeseed genotypes in diverse environments during 2008-09, 2009-10 and 2010-11 growing seasons, to graphically make a summary of the effects of genotype (G) and genotype environment (GE) interaction and to identify “which won where” and to recommend rapeseed genotypes for a specific growing environment, using GGE biplot. The GGE biplot was effective in recognition that the genotypes G₁₂, G₁₀ and G₆ were the highest yielding and consequently the most desirable genotypes for growing in favourable weather condition. The genotype G₅ had the lowest seed yield (5.61 g plant^-1) and was the least stable across varying environments. This technique can provide as a useful tool for recommendation of rapeseed genotypes for specific growing environment taking into account the specificities of genotypes and growing conditions.

Keywords: Rapeseed, GGE biplot, Stability, Genotype × environment interaction

Location: Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur

Start Date: 00-00-2008

End Date: 00-00-2011

Program Area: Variety and Species

Commodity: Mustard

Objectives:

The aim of this study was to i) investigate the stability of seed yield in rapeseed via the GGE biplot, ii) graphically summarize the effects of G and GE interaction.

Methodology:

Experimental site and materials - The experiment was laid out in a randomized complete block design (RCBD) with three replications at Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur, Bangladesh. Sixteen rapeseed genotypes from diverse backgrounds were sown in a RCB design with three replications. The ten A lines were grown in the rabi seasons of 2008-09 (BC₃ generation) and 2009-10 (BC₄ generation) and 2010-11 (BC₅ generation) along with three R lines and three popular varieties with a view to investigate their stability across variable environments. The environments in the three subsequent years were assigned as E₁, E₂ and E₃. Distance between the rows was 0.3 m with hills spaced 0.15 m. Size of each unit plot was 2.4 m² (4 m × 0.60 m). Plots were overplanted and thinned properly ensuring a single plant hill^-1. Two rows from each plot were harvested at maturity, siliquae were shelled, dried and seed weight was measured in each plot. Statistical analysis - The GGE biplot analysis was carried out using PBTools software version 1.4. It was used to produce graphs which are viewing (i) “whichwon- where” pattern, (ii) ranking of rapeseed lines in respect of yield and stability, (iii) environment vectors, and (iv) assessment of environment to ideal environment. The GGE biplot represents the first two principal components (PC₁ and PC₂, referred as primary and secondary effects, respectively) derived from subjecting environment centered yield data (yield variation due to GGE), to singular value decomposition.

Source of Information: International Journal of Agronomy and Agricultural Research (IJAAR); ISSN: 2223-7054 (Print) 2225-3610 (Online); Vol. 7, No. 6, p. 12-19, 2015

Article Link (Online Journal): http://www.innspub.net

Funding Source:

Budget:

Total Budget (Tk.) :

Achievement/Findings:

The GGE biplot analysis identified the genotypes G12, with an average grain yield of 10.06 g plant^-1, G10 (9.67 g plant^-1) and G6 (9.46 g plant^-1) to be the most desirable genotypes for growing in favourable environment. The rapeseed genotype G₅ had the lowest seed yield (5.61 g plant^-1) and was the least stable across diverse environments. In addition, the GGE biplot methodology was valuable device for detection of environments in which rapeseed genotypes will have an optimal performance. This method can give out as an effective tool for recommendation of rapeseed genotypes for specific growing environment taking into account the specificities of genotypes and growing conditions.

Knowledge Management: Journal