Performance and Adaptability of Common Bean-Released Cultivars at Three Agro-Ecological Zones in Tanzania

Authors

  • Shekinah Henday The Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, P.O.Box 447, Tanzania
  • Mashamba Lucas Philipo The Nelson Mandela African Institution of Science and Technology, Arusha, P.O.Box 447, Tanzania
  • David Guerena Selian Agricultural Research Institute Dodoma Road, Arusha, P. O. Box 2704, Tanzania
  • Teshale Mamo Selian Agricultural Research Institute Dodoma Road, Arusha, P. O. Box 2704, Tanzania
  • Ernest Mbega The Nelson Mandela African Institution of Science and Technology, Tanzania
  • Ellena Giema Selian Agricultural Research Institute Dodoma Road, Arusha, P. O. Box 2704, Tanzania

DOI:

https://doi.org/10.31695/IJASRE.2024.4.3

Keywords:

Common bean genotypes, Genotype by environment interaction, lattice design, environmental stability, discriminativeness and representativeness

Abstract

This study focused on examining the genetic performance and stability of common bean genotypes across multiple environments in Tanzania using an alpha-lattice experimental design. The aim was to minimize environmental variability and maximize genetic expression. Three experimental sites were selected to represent the ecologies of the main bean growing areas of Tanzania, which are Tropical Savannah represented by TARI-Seliani, Tropical highlands represented by TARI-Uyole and semi-arid regions represented by Babati region. The sites were planted with are diverse of common bean genotypes, all of which were released for use in Tanzania. Agronomic practices, such as hand-hoe weeding and fertilizer application, were consistently applied. Key data collected included days to 50 percent flowering, growth habit, plant height, pod and seed count, yield per plot, and 100 seed weight. Advanced statistical analyses, including ANOVA, AMMI, and stability tests, were conducted using R software to evaluate yield and yield components. This paper findings discuss about the yield performance, stability, and the discriminating verses representative power across locations. In terms of yield, Babati was the leading site with mean yield of 1413.07 kilogram per hectare (kg/h) with Uyole 96 being the lead genotype (2845.567kg/h). Genotypes that were found to be stable and high-yielding in multiple locations include, Rojo, SUA Kalima, SAKILA, Fibea, and Nyeupe Uyole with the mean yields of 1045.83kg/h, 1023.73kg/h, 1003.33kg/h, 670.4kg/h and 544.77kg/h respectively. In discriminativeness and representativeness, Babati was the most discriminating site among the three locations while Seliani was the most representative among the three. These findings revealed significant variations and allowed the assessment of genotype performance and environmental interactions.

Author Biographies

Mashamba Lucas Philipo, The Nelson Mandela African Institution of Science and Technology, Arusha, P.O.Box 447, Tanzania

Mr. Philipo is an assistant lecturer/plant breeder in the school of life sciences and bioengineering at the Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania.Key research areas; Plant breeding for improved nutritional and micronutrients (Biofortification) of crops, Improvement for plant biotic resistance and abiotic tolerance, and Farmer's participatory variety selection.

David Guerena, Selian Agricultural Research Institute Dodoma Road, Arusha, P. O. Box 2704, Tanzania

Agricultural scientist with expertise in soil carbon and fertility, plant nutrition, agronomy, geospatial analytics, and data science at The Alliance Bioverity International-CIAT

Teshale Mamo, Selian Agricultural Research Institute Dodoma Road, Arusha, P. O. Box 2704, Tanzania

Teshale A. Mamo is a bean breeder working at The Alliance of Bioversity-CIAT in Arusha, Tanzania. He is also the East and Central Africa Bean Research Coordinator for PABRA and has more than 12 years’ experience in the breeding and genetics of common bean and soybean.

Ernest Mbega, The Nelson Mandela African Institution of Science and Technology, Tanzania

Prof. Ernest R. Mbega is an Associate Professor at the Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania. He is a Molecular Plant Pathologist by specialization. He obtained his PhD from the University of Copenhagen, Demark (2011) and has Master of Science in Crop Science (2007) and Bachelor of Science in Agriculture General (2004) from Sokoine University of Agriculture, Morogoro Tanzania.

 

At the NM-AIST, he is teaching Molecular Plant Pathology, Genomics and Bioinformatics, Microbial Diversity and Bioprospecting and Plant Molecular Biotechnology/Breeding. His area of research currently is on Molecular Biology of Plant-Microbe Interactions, Bio-pesticides Development and formulation, Bio-fertilizer Development formulations and Crop protection. Prof. Mbega has supervised about 18 Masters and 16 PhD students. He has published more than 60 articles in peer reviewed international journals.

Ellena Giema, Selian Agricultural Research Institute Dodoma Road, Arusha, P. O. Box 2704, Tanzania

Breeding Data Systems and Analytics Specialist at The Alliance Bioversity International-CIAT

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How to Cite

Henday, S., Mashamba Lucas Philipo, Guerena, D., Mamo, T. ., Mbega, E., & Giema, E. (2024). Performance and Adaptability of Common Bean-Released Cultivars at Three Agro-Ecological Zones in Tanzania. International Journal of Advances in Scientific Research and Engineering (IJASRE), ISSN:2454-8006, DOI: 10.31695/IJASRE, 10(4), 23–35. https://doi.org/10.31695/IJASRE.2024.4.3

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