Browsing by Author "Bilaro, Atugonza Luta"

Now showing 1 - 3 of 3

A Review of options for speeding the adoption of climate smart varieties: what works and what does not work: Experiences from Tanzania
(nternational Journal of Environment, Agriculture and Biotechnology, 2022-06-08) Bilaro, Atugonza Luta; Tryphone,George M.
Given the efforts invested on addressing climate change adaptation particularly in agriculture, the adoption of climate smart varieties has not met the expectations. A number of crop varieties developed targeting drought prone areas largely remained un-adopted hence unknown to the majority of farmers or lack traits deemed special for adaptation to climate change in target areas. Variety adoption rate is highly dependent on its adaptation to particular environmental conditions including suitability to tolerate drought, salinity and acidity and ability to meet different livelihood needs such food, fodder and cash. Poor adoption emanates from lack of awareness and the volatility of the farming environment coupled with poor integration of seed business into private public partnership. Rapid adoption of climate smart varieties in Tanzania would require better policy intervention with a well-organized extension system and modifications in variety testing procedures, including the current guidelines for variety release. In this work the authors discuss some approaches that can be used to enhance the adoption of climate smart varieties in Tanzania and cite a few specific cases based on experience from Tanzania.
AMMI analysis for stability and genotype by environment interaction on common bean (Phaseolus vulgaris L.) genotypes in Mbeya region, Tanzania
(Current Journal of Applied Science and Technology, 2022-08-13) Muhamba, George Tryphone; Bilaro, Atugonza Luta
A significant Genotype by Environment Interaction (GEI) makes selection of stable genotypes difficult. This study was conducted to establish the effect of GEI on yield of Common bean genotypes and reduce complaints on the under performances. Eighteen (18) Common bean genotypes were assessed for variation in gene expression linked to yield and yield predictors on three different districts in Mbeya region (Mbarali, Mbozi and Mbeya districts). Regression, pooled ANOVA and AMMI biplot models were used to evaluate the data. Variety performance showed significant variations in yield between the districts. A similar scenario was observed in regard to yield predictors. Regression analysis showed that in Mbarali 50% was the significant yield predictor (P = 0.027) while pods/ plant was the trait mostly linked to yield in Mbozi. (GEI) analysis using the AMMI model revealed that best variety performance by location based on yield. Interaction principle component (IPC1) was highly significant (P = 0.0001) and contributed about 69.1% of GEI variation. The genotypes SER 83 and RCB 266 where highly adaptable in Mbarali site. The genotypes SER 45 and KG 521 showed specific interaction with the environment of Mbozi district. A total of five genotypes proved to be superior in Mbeya district. The most adapted stable variety with highest grand mean yield across all three mega environments was RCB233 (IPC1= 0.07, yield = 1073 t/ha). The environment in Mbarali was found to be most predictable for evaluation of Common bean genotypes.
Evaluation of quality protein maize synthetic germplasm for drought tolerance
(Sokoine University of Agriculture, 2008) Bilaro, Atugonza Luta
Twenty one Open Pollinated Quality Protein Maize genotypes were evaluated fbr drought tolerance under three conditions of moisture regimes i.e. pre flowering stress, flowering moisture stress and optimal moisture to identify genotypes that maintained high yield under drought and well watered conditions. The experiment was conducted at Ilonga research station during rain free period of August to November, 2006, and Selian Arusha during rain season of 2006/07. Yield differences between moisture regimes were significantly (p < 0.001) different. Optimal moisture regime had the highest mean grain yield (1.49t/ha) followed by flowering stress (1.15t/ha) while pre flowering stress had the least mean grain yield (0.9t/ha). Correlation studies revealed that grain yield was related to number of days to anthesis, number of ears per plant, plant height, ear height, and leaf senescence. Of these, plant height, ear height, and number of ears per plant were consistently positively correlated with grain yield in all moisture regimes. Days to anthesis had varying correlations with grain yield depending on moisture conditions. Based on index values, entries 1 (EEQPMOPV-l-EA-#), 6 (EEQPM-13-EA半),10 (EEQPM- 34-EA-#), 13(EEQPM-45-EA-#), 14(EEQPM-49-EA-#), 19(POOL15QPM-SR-#-#) and 21 (Local check 1) performed better in most traits associated with drought. Grain yield, numbers of ears per plant, days to anthesis and leaf senescence were important selection criteria under drought but only grain yield and leaf senescence were important under both stress and optimal moisture conditions. Nine entries had above average yield and out of these only 3 i.e. 13(EEQPM-45-EA-#), 19 (POOL15QPM- SR-#-#) and 21 (Local Check 1) had stable performance across moisture regimes. Stable and high yielding genotypes should be evaluated under field conditions in the target environments so that farmers can select suitable genotypes to be proposed for release. Molecular characterization should be carried out to ascertain the degree of diversity available among the entries identified as best in different moisture regimes.