Additive Main Effects and Multiplicative Interaction and Genotype Main Effect and Genotype by Environment Interaction Effects-Biplot Analysis of Sorghum Grain Yield in Uganda.

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dc.contributor.author Andiku, Charles
dc.contributor.author Lubadde, John
dc.contributor.author Aru, Charles John
dc.contributor.author Ugen, Micheal Adrogu
dc.contributor.author Ebiyau, Johnie
dc.date.accessioned 2021-03-14T09:34:39Z
dc.date.available 2021-03-14T09:34:39Z
dc.date.issued 2020-05-15
dc.identifier.citation Andiku, C. . . . [ et al ]. (2020). Additive Main Effects and Multiplicative Interaction and Genotype Main Effect and Genotype by Environment Interaction Effects-Biplot Analysis of Sorghum Grain Yield in Uganda. Journal of Agricultural Science. Busitema University ; Canadian Center of Science and Education. en_US
dc.identifier.issn 19169752
dc.identifier.issn 19169760
dc.identifier.uri https://doi.org/10.60682/yz88-mt59
dc.description Research article en_US
dc.description.abstract Genotype-by-environment interaction analysis is vital for cultivar release, and to identify suitable crop production sites. The current study aimed to determine sorghum grain yield stability and adaptability and to identify the most informative and representative environments for sorghum grain yield performance in Uganda. Sorghum grain yield data of eight (08) genotypes; ICSR 160, IS8193, IESV92043DL, IESV92172DL, GE17/1/2013A, GE35/1/2013A, SESO1, and SESO3 tested across eight (08) major sorghum production area in Uganda for two consecutive seasons of 2017 using randomised complete block design with 2 replications were analysed via Additive Main effects and Multiplicative Interaction (AMMI) and Genotype Main Effect and Genotype by Environment interaction effects (GGE) using PB tools. Genotype IESV92043DL was the ideal genotype in the entire test environments with mean grain yield of 2783 kg ha-1 however genotype ICSR 160 had the highest grain yield of 2823 kg ha-1 across all the test environment. On the other hand, GE17/1/2013A was the most stable and adapted genotype across all the test environment. Of the eight (08) environments tested, biplot analysis precisely grouped the test environments into two presumed mega-environments with the best genotype being IS8193 and ICSR 160. Out of eight (08) trial sites, two (02) environments; Abi and Mayuge were the most representative and informative environment for sorghum grain yield performance in Uganda. Keywords: sorghum (Sorghum bicolor), multiplicative models, genotype, and yield stability en_US
dc.description.sponsorship Busitema University, National Semi Arid Resources Research Institute en_US
dc.language.iso en en_US
dc.publisher Busitema University ; Canadian Center of Science and Education en_US
dc.subject sorghum en_US
dc.subject Multiplicative models en_US
dc.subject Genotypes en_US
dc.subject Yield stability en_US
dc.subject Crop production en_US
dc.subject Yield performance en_US
dc.subject Multiplicative Interaction en_US
dc.title Additive Main Effects and Multiplicative Interaction and Genotype Main Effect and Genotype by Environment Interaction Effects-Biplot Analysis of Sorghum Grain Yield in Uganda. en_US
dc.type Article en_US


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