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Genotype-Environment Interactions and Yield Stability of Cowpea (Vigna Unguiculata L. Walp) in Lomami Province, Central Part of Democratic Republic of Congo

Remy Tshibingu Mukendi


Antoine Lubobo Kayenga


Louis Longanza Baboy


David Mugisho Bugeme


Adrien Mbuyi Kalonji


Theodore Mushambanyi Munyuli

Remy Tshibingu Mukendi 1

Antoine Lubobo Kayenga 2 Louis Longanza Baboy 2 David Mugisho Bugeme 2 Adrien Mbuyi Kalonji 5
Theodore Mushambanyi Munyuli 6

  1. Department of Crop Science, Faculty of Agricultural Sciences, University of Notre Dame de Lomami, Lomami Province, Central DR Congo 1

  2. Department of Crop Science, Faculty of Agricultural Sciences, University de Lubumbashi, Haut-Katanga Province, Southern DR Congo 2

  3. Department of Genetics and Plant Breeding, Regional Nuclear Energy Center, Kinshasa (CRENK), P.O. Box 868, Kinshasa XI, Democratic Republic of Congo; Unit of Phytopathology, University of Kinshasa, Kinshasa XI, Democratic Republic of Congo 5

  4. National Center for Research in Natural Sciences (CRSN / Lwiro), D.S Bukavu, South Kivu Province, Democratic Republic of Congo 6

Pages: 33-46

DOI: 10.18488/journal.70.2019.61.33.46

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Article History:

Received: 15 November, 2018
Revised: 24 December, 2018
Accepted: 28 January, 2019
Published: 13 March, 2019


The genotype environment interaction (GEI) has always been considered as an important issue by researchers involved in varietal selection and yield performance assessment. The objective of this study was to identify stable genotypes of cowpea in the Greater Kasai region. The current study was undertaken in 3 locations in the Ngandajika territory of Lomami Province (central part of Democratic Republic of Congo (DRC) with 12 improved cowpea genotypes obtained from the National Institute for Agricultural Research and Studies. The experiments were conducted following the randomized block design with 3 replicates and 12 treatments. Analysis of variance (ANOVA) and AMMI model were applied to identify main effects and GEI. The genotype yield stability across different locations was determined using the stability value of AMMI (ASV) rank of the AMMI model. ANOVA test indicated that there was performance inconsistencies in the yield of the 12 genotypes tried across the environments retained in this study. However, AMMI model revealed genotypes with stable yields across the different environment considered in the study. For the determination of the specificity of adaptability of genotypes to specific environments, the stability value of AMMI and diagram plot techniques were used for the discrimination of the genotypes versus the different environments considered. The genotypes Mujilanga (V2), CNGKASA7-2-M (V3) and CNGKASC2-1-1-T (V9) were identified as the most stable across different environments studied. Their yields were significantly higher (P<0.05) since they oscillated between 260 and 369 kg / ha as compared to the overall average of 312 kg / ha.
Contribution/ Originality
This study is one of very few studies which have investigated yield stability and adaptability of cowpea genotype in central part of DR Congo. The paper’s primary contribution is finding that stability value of AMMI (ASV) rank and diagram plot discriminated three cowpea genotypes for dissemination in central part of DR Congo.


Yield stability, Environmental variability, Genotypes, Cowpea, Central DR Congo.




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This study received no specific financial support.

Competing Interests:

The authors declare that they have no competing interests.


The research findings are the part of the research work of PhD Program of the first author to be submitted to the Department of Crop Science (Faculty of Agriculture) University of Lubumbashi, Southern part of DR Congo. We are very grateful to Mr. Theodore Tshilumba Mukadi, and to Mr. Maurice Mpoyi to have helped a lot in the field monitoring and data collection. The authors thank Mr Olivier Mulamba responsible for INERA Ngandajika to have availed cowpea gemplasm and to have allowed experiments to be conducted at Ngandajika INERA research station

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