Impact of common bean (phaseolus vulgaris l.) genotypes on seed yield, and seed quality at different locations of Eastern Ethiopia

Abstract

An experiment was conducted both under field conditions (Haramaya, Babile, and Hirna) and in the laboratory during the 2018 main crop season to analyze the impact of genotype by location based on seed yield and seed quality in Common Bean varieties. Thirteen varieties of common bean were tested at three locations in a randomized complete block design with three replications under field conditions while, for seed quality traits, they were tested at a standard seed testing laboratory in a completely randomized design with four replications. Analysis of variance was computed using GenStat statistical software version 16th. Accordingly, grain yield from Ayenew (5545.82 kg ha⁻¹), and Gofta (5147.03 kg ha⁻¹) genotypes was greater than other genotypes, respectively. The maximum grain yield was obtained in the Hirna location (6040.26 kg ha⁻¹) due to its wide potential. However, location Haramaya was a representative and suitable site for the production of good quality seeds compared to other locations. The varieties Ayenew, Babile, Tinike, and Hundane yielded above the grand mean and also met the minimum (85%) national standard for germination of a common bean seed. Thus, it is better if farmers grow these high-yielding varieties with better standard seed germination to produce high-quality seed.

Keywords:

• agro-environment
• genotype
• common bean
• seed yield and quality

Public interest statement

The common bean is an early-maturing crop with good drought tolerance and is known for its high protein and other nutritional value. Currently, its yield and seed quality are affected mostly due to limited high-yielding varieties acclimatized to different environmental conditions and the selection of good agricultural practices. Since the common bean is grown over the low to mid-land regions of Ethiopia, testing the different responses of genotypes to varied environments is highly relevant, particularly for good seed production.

Therefore, the aim of this work was to test the impact of common bean varieties on seed yield and seed quality at different locations in Eastern Ethiopia. The output of this study shows that the yield and quality of common beans varied as the location changed. Therefore, seed yield and seed quality of common bean varieties are changed at different locations in Eastern Ethiopia due to genetic and environmental factors.

Acknowledgements

The authors express their heartfelt thanks to field technicians Mr. Jemal Umed, Ms. Azeb Mekonnen, Mr. Tamam Muhammed, and Mr. Nebiyu Muhammed for their unreserved assistance in conducting the field research. The author is also indebted to the heads and technicians of the Seed Science Laboratory of Haramaya University for their constant assistance in provision of required materials and facilities.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the Ministry of Education, Ethiopia [US$556].

Notes on contributors

Buno Haleke Besaye

Buno Haleke Besaye is a lecturer and researcher at Bule Hora University. He has been teaching plant sciences and horticulture students. He has conducted different research activities related to seed quality and variety adaptation. Finally, he has an interest in teaching and conducting research related to seed science and technology.

Gebre Garmame Galgaye

Gebre Garmame Galgaye is senior Lecturer and researcher at Bule Hora University, He has been teaching Horticulture, Plant sciences, and Environmental sciences students. He has conducted different research activities related to Horticulture agronomy, plant physiology, food security and Variety adaptation. Finally, he has an interest in teaching and conducting research related in crop-climate, Horticulture agronomy, and post-harvest management.

Have been a colloquies as a member of a scientific research group for a year’s especially focusing on the common bean yield and quality using ANOVA and AMMI analysis approach. Furthermore, the authors have the experience of scientific research writing.