Browsing by Author "William, Magdalena N."

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Assessment of the effects of water stress on seed yield of common bean genotypes
(African Journal of Agricultural Research, 2020) Claude Rubyogo, Jean; Mbiu, Julius Peter; Msolla, Susan Nchimbi; William, Magdalena N.
Drought stress is among the most important abiotic factors that contribute to the significant yield reduction of common bean (Phaseolus vulgaris L.). Due to unreliable and poor distribution of rainfall, drought tolerance has become the important train in common bean in bean growing areas. The objective of this study was to evaluate 16 common bean genotypes for drought tolerance under three moisture regimes and identify genotypes with specific traits that improved tolerance to drought that could be recommended for released and become useful parents in the breeding programs. The experiment was conducted in Maruku, Bukoba under screen- house. Based on the drought stress indices which includes drought tolerance index (DTI), Harvest Index (HI) SMC 162, DAB 602, SSIN 1128, DAB 378, DAB 362 and SMR 101 had performed better than other tested genotypes. Also, the results showed that genotypes DAB 582, SRC 59, DAB 602, SSIN 1240, SMC 24, SMR 101 and DAB 362 were drought tolerant with lower and high value of the DSI and YSI respectively. Therefore, the later genotypes can be used in the future breeding programs as the parent for drought tolerance and also can used as a new varieties by farmers.
Performance and adaptability of common bean genotypes at different agro-ecological environments in Kagera region
(Journal of Plant Breeding and Crop Science, 2020) Mbiu, Julius P; Nchimbi–Msolla, Susan; Rubyogo, Jean C; William, Magdalena N.
Sixteen common beans (Phaseolus vulgaris L.) genotypes were used to study the genotype by environment interaction and grain yield stability. The randomized complete block design was used with three replicates. Data on yield were analyzed using additive main effects and multiplicative interaction (AMMI) model, genotype plus genotype by environment interaction (GGE) biplot model was used to display graphical representation of the yield data and the yield stability index (YSi). The analysis of variance of the AMMI model indicated that environments accounted for 56.9% of the total sum of square; genotypes effect explained 9.2% and the G x E interaction effect accounted 8.9% of the total sum of squares for the 16 genotypes tested across three environments and were all significant (P < 0.01). The average grain yield were 2.7, 1.38 and 1.20 t ha-1 for Karagwe, Bukoba and Muleba respectively. According the results, the GGE biplot revealed that, the genotypes SSIN 1240, SAB 659 and DAB 219, SMR 101, SMC 162 and DAB 602 showed greater stability with the average closer to the overall average of the tested genotypes. Therefore they are recommended to be used as varieties or parents for further improvement of available cultivars.