Delineating G × E interactions by AMMI method for yield attributes in cowpea (Vigna unguiculata(L.) Walp.)

*Article not assigned to an issue yet

, , ,


Research Articles | Published:

Print ISSN : 0970-4078.
Online ISSN : 2229-4473.
Website:www.vegetosindia.org
Pub Email: contact@vegetosindia.org
Doi: 10.1007/s42535-024-01004-0
First Page: 0
Last Page: 0
Views: 72


Keywords: Cowpea, Stability, Environment, AMMI


Abstract


Cowpea can tolerate a wide range of climate conditions. Despite this, crop yields are often low due to a lack of stable, drought-tolerant varieties. The additive main effects and multiplicative interactions (AMMI) model was used in the current study to examine how cowpea genotypes responded to environmental conditions based on variations in yield and its contributing factors. The experiment used a randomized complete block design with three replications over two consecutive years at six locations. Over multiple harvests, yield and its component traits such as the total number of pods per plant, pod length (cm), hundred seeds weight (g), and yield per hectare were evaluated in the rainy season in 2020 and 2021. Stability tests for multivariate stability parameters were performed based on analyses of variance. For all the traits, the pooled analysis of variance indicated highly significant (p < 0.01) variations between genotypes, environments, and genotypes by environment (GEI). Furthermore, the first, second, and third main component axes (IPCA1, IPCA2, and IPCA3) explained most of the GEI for these attributes. AMMI1 and AMMI2 biplot analyses showed differential stability of genotypes for yield and its component traits with few exceptions. The best genotype, according to the ideal genotype ranking, was genotype KGC 1. Genotypes KGC5 and KGC2, on the other hand, had high yields that were especially suited to the LAD environment during the 2021 growing season. Location-specific adaptation of genotypes indicates that location-specific breeding needs to be undertaken along with the focus on wider adaptability.


Cowpea, Stability, Environment, AMMI


*Get Access

(*Only SPR Life Members can get full access.)

Advertisement

References


Ajayi A, Gbadamosi A, Osekita O, Taiwo B, Fawibe AB, Adedeji I, Omisakin T (2022) Genotype× environment interaction and adaptation of cowpea genotypes across six planting seasons. Front Life Sci Relat Technol 3(1):7–15


Azam MG, Iqbal MS, Hossain MA, Hossain MF (2020) Stability investigation and genotype× environment association in chickpea genotypes utilizing AMMI and GGE biplot model. Genet Mol Res 19(3):1–5


Boukar O, Belko N, Chamarthi S, Togola A, Batieno J, Owusu E, Haruna M, Diallo S, Umar ML, Olufajo O, Fatokun C (2019) Cowpea (Vigna unguiculata): Genetics, genomics and breeding. Plant Breeding 138(4):415–424


Cornelius PL, Crossa J, Seyedsadr MS (1996) Statistical tests and estimators of multiplicative models for genotype-by-environment interaction. Genotype-by-environment interaction. CRC Press, Boca Raton, FL 6:199–234


Crossa J, GauchJr HG, Zobel RW (1990) Additive main effects and multiplicative interaction analysis of two international maize cultivar trials. Crop Sci 30(3):493–500


da Cruz DP, de AmaralGravina G, Vivas M, Entringer GC, Rocha RS, da Costa Jaeggi ME, Gravina LM, Pereira IM, do Amaral Junior AT, de Moraes R, de Oliveira TR (2020) Analysis of the phenotypic adaptability and stability of strains of cowpea through the GGE Biplot approach. Euphytica. 216(10):160


Ebdon JS, GauchJr HG (2022) Additive main effect and multiplicative interaction analysis of national turf grass performance trials. I: Interpretation of genotype× environment interaction. Crop science 42(2):489–96


El-Shaieny AA, Abdel-Ati YY, El-Damarany AM, Rashwan AM (2015) Stability analysis of components characters in cowpea (Vigna unguiculata (L.) Walp). J Hortic Forestry 7(2):24–35


Gauch HG Jr, Furnas RE (1991) Statistical analysis of yield trials with MATMODEL. Agron J 83(5):916–920


GauchJr HG (1992) Statistical analysis of regional yield trials: AMMI analysis of factorial designs. Elsevier Science Publishers


Gerrano AS, Jansen van Rensburg WS, Kutu FR (2019) Agronomic evaluation and identification of potential cowpea (Vigna unguiculata L Walp) genotypes in South Africa. Acta Agriculturae Scandinavica, Sect B—Soil Plant Sci 69(4):295–303


Gumede MT, Gerrano AS, Modi AT, Thungo Z (2022) Influence of genotype and environment on grain yield among cowpea (Vigna unguiculata (L.) Walp) genotypes under dry land farming system. Acta Agriculturae Scandinavica Sect B—Soil Plant Sci 72(1):709–19


Horn L, Shimelis H, Sarsu F, Mwadzingeni L, Laing MD (2018) Genotype-by-environment interaction for grain yield among novel cowpea (Vigna unguiculata L.) selections derived by gamma irradiation. Crop J 6(3):306–13


Kempton RA (1984) The use of biplots in interpreting variety by environment interactions. J Agric Sci 103(1):123–135


Kumar MN, Ramya V, Kumar CS, Raju T, Kumar NS, Seshu G, Sathish G, Bhadru D, Ramana MV (2021) Identification of pigeonpea genotypes with wider adaptability to rainfed environments through AMMI and GGE biplot analyses. Indian J Genet Plant Breed 81(01):63–73


Mekonnen TW, Mekbib F, Amsalu B, Gedil M, Labuschagne M (2022) Genotype by environment interaction and grain yield stability of drought tolerant cowpea landraces in Ethiopia. Euphytica 218(5):57


Ndenkyanti SN, Agbo CU, Ogbonna PE (2022) Evaluation of seventeen cowpea genotypes across years for grain yield, yield components and yield stability in Nsukka, South-east Nigeria. Afr J Agric Res 18(11):967–976


Odeseye AO, Amusa NA, Ijagbone IF, Aladele SE, Ogunkanmi LA (2018) Genotype by environment interactions of twenty accessions of cowpea [Vigna unguiculata (L.) Walp.] across two locations in Nigeria. Ann Agrar Sci 16(4):481–9


Omilabu SK, Ayo-Vaughan MA, Akintobi DC, Lawal IT, Alake CO (2020) G x E interactions and stability analysis in cowpea genotypes (Vigna unguiculata (L.) Walp). J Genet Genom Plant Breed 6(4):93–101





Patel PR, Jain S, Sharma M (2018) Stability Analysis of Component Characters in Cowpea (Vigna unguiculata L.). Biosciences 2:4368


Patel PR, Sharma M, Purohit Y, Patel MP, Patel PJ (2021) Stability analysis and genotype x environment interaction in medium maturing genotype of pigeonpea (Cajanus cajan (L.) Millsp.). Green Farming 12:95–100


Pour-Aboughadareh A, Khalili M, Poczai P, Olivoto T (2022) Stability indices to deciphering the genotype-by-environment interaction (GEI) effect: An applicable review for use in plant breeding programs. Plants 11(3):414


Sharma M, Patel MP, Patel PJ, Patel PR (2022a) Stability analysis of yield and yield attributing traits in advanced breeding lines of cowpea [Vigna unguiculata (L.) Walp.]. Electron J Plant Breed 13(3):901–9


Sharma M, Patel PJ, Patel PR, Patel MP (2022b) AMMI and GGE Biplot Analysis of Multi-environmrnt Seed Yield Data in Cluster Bean [Cyamopsis tetragonoloba (L.) Taub.]. Legum Res An Int J 1:6


Simion T (2018) Breeding cowpea Vigna unguiculata [L.,] Walp for quality traits. Ann Rev Res 3(2):555–609


Singh OV, Shekhawat N, Singh K (2020) Stability analysis for yield and some of yield component traits in cowpea [Vigna unguiculata (L.) Walp] germplasm in hot arid climate. Legume Res An Int J 43(5):623–6


Yan W, Kang MS, Ma B, Woods S, Cornelius PL (2007) GGE biplot vs AMMI analysis of genotype-by-environment data. Crop Sci 47(2):643–53

 


Acknowledgements



Author Information


Sharma Manish
Pulses Research Station, SDAU, Palanpur, India
manisharmagpb@sdau.edu.in
Patel M. P.
Pulses Research Station, SDAU, Palanpur, India


Patel P. R.
Pulses Research Station, SDAU, Palanpur, India


Patel P. J.
Seed Spices Research Station, SDAU, Mahesana, India