1. Obanyi, J.N., J.O. Ogendo, R.M. S. Mulwa, J.G. Nyaanga and E.K. Cheruiyot, 2023. Field margins and cropping system influence diversity and abundance of aphid natural enemies in Lablab purpureus. J. Appl. Entomol., 147: 439-451.
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2. Nelly, C., K.C. Erick and M. Samuel, 2022. Effects of sodium chloride on seed germination and seedling establishment of sorghum genotypes. Afr. J. Agric. Res., 18: 1102-1109.
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3. Kamau, R.M., E.K. Cheruiyot and S.M. Karori, 2022. Phenotypic expressions of diverse Sorghum bicolor [L.] moench genotypes exposed to cold and warm temperatures. Afr. J. Agric. Res., 18: 1121-1139.
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4. Mwani, C.N., J. Nyaanga, E.K. Cheruiyot, J.O. Ogendo and P.K. Bett, 2021. Intercropping and diverse field margin vegetation suppress bean aphid (Homoptera: Aphididae) infestation in dolichos (Lablab purpureus L.). J. Plant Prot. Res., 61: 290-301.
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5. Chepkoech, E.T., E.K. Cheruiyot and J.O. Ogendo, 2021. Metribuzin and 2,4-D as potential herbicides for weed management in sorghum [Sorghum bicolor (L) Moench]. Afr. J. Agric. Res., 17: 442-447.
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6. Mwamlima, L.H., J.P. Ouma and E.K. Cheruiyot, 2020. Leaf gas exchange and root nodulation respond to planting density in soybean [Glycine max (L) Merrill]. Adv. Agric., Vol. 2020. 10.1155/2020/6424389.
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7. Muller, L., E. Cheruiyot, L. Ouma, A. Osano and J. Ogendo, 2020. Evaluation of potential fodder sorghum genotypes for prussic acid, lignin and cellulose content. J. Agric. Sci. Technol., 10: 39-43.
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8. Mwamlima, L.H., J.P. Ouma and E.K. Cheruiyot, 2019. Physiological response of soybean [Glycine max (L.) Merrill] to soil moisture stress. Afr. J. Agric. Res., 14: 729-739.
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9. Njuguna, V.W., E.K. Cheruiyot, S. Mwonga and J.K. Rono, 2018. Effect of genotype and environment on grain quality of sorghum (Sorghum bicolor L. Moench) lines evaluated in Kenya. Afr. J. Plant Sci., 12: 324-330.
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10. Rono, J.K., E.K. Cheruiyot, J.O. Othira, V.W. Njuguna and J.K. Macharia, 2016. Adaptability and stability study of selected sweet sorghum genotypes for ethanol production under different environments using AMMI analysis and GGE biplots. Sci. World J., Vol. 2016. 10.1155/2016/4060857.
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