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

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.

Registration of ‘NAROSORG1 and NAROSORG3’ Sorghum Varieties with High Grain Yield and Superior Grain Qualities from Uganda

“…Performance evaluation for yield and agronomic traits were performed for two seasons of 2017 at eight on-farm locations (Arua, Iganga, Kitgum, Mayuge, Namutumba, Oyam, Pallisa, and Serere) under rainfed conditions in Uganda using randomized complete block design with three replicates [7]. Using a plot size of 5 m long with four rows (inter-row and intra-row spacing of 60 cm and 20 cm respectively, three sorghum genotypes including commercial variety, SESO1 as a check were planted.…”

“…All the yield and agronomic data were taken from the middle two rows of the plots and the panicles with grain in the middle row were all harvested at physiological maturity. The grain yield data was first collected per plot and later extrapolated into Kg ha -1 to establish grain yield per hectare [7]. Likewise, 1000 seed weight (g) was also recorded for every plot and 200 g seed samples were picked per plot and analyzed for brewery grain quality analysis at National Agricultural Research Laboratories (NARL-Kawanda).…”

“…The multilocational testing of our materials was conducted to confirm the suitability of these materials for countrywide or specific cultivation. Therefore, understanding the response of variety to different environments is very crucial to assign the variety either to a specific or diverse environment and thus possible release to the targeted environment for production [7][8]. Hence, the main objective of this study was to evaluate the performance of promising high grain quality sorghum genotypes across the varying agro-ecologies in Uganda for possible release in the country.…”

Registration of ‘NAROSORG2’ Sorghum Variety with Desirable Farmer Attributes for Uganda

“…The advanced sorghum lines were evaluated for performance in replicated on-farm trials for yield and agronomic traits for two continuous seasons of 2017 at eight trial sites of Arua, Iganga, Kitgum, Mayuge, Namutumba, Oyam, Pallisa, and Serere districts of Uganda under rainfed conditions [1]. Using randomized complete block design with three replicates, the three genotypes including SESO3 as check were planted in a plot size of 5 m long with four rows.…”

“…During the evaluation, no fertilizer nutrient was added. The grain yield data was first collected per plot and later extrapolated into Kg ha -1 to establish grain yield per hectare [1].…”