Adaptation of introduced mungbean genotypes in Uganda

Mbeyagala, E. K.; Amayo, Robert; Obuo, J.E.

doi:10.4314/acsj.v24i2.4

Cited by 8 publications

(11 citation statements)

References 10 publications

(20 reference statements)

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“…2 and 3). Among the preferred genotypes were Filsan and Sunshine, that had also been identified in two previous studies (Mbeyagala et al, 2015;Mbeyagala et al, 2016) as high yielding and stable across environments. Genotypes such as blackgram and yellowgram that yielded higher than all the other genotypes (Table 3), were not preferred by farmers.…”

Section: Discussionsupporting

confidence: 52%

Participatory selection of mungbean genotypes in Uganda

Mbeyagala¹,

Kwikiriza²,

Amayo³

et al. 2017

Afr. Crop Sci. J.

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Section: Discussionsupporting

confidence: 52%

Participatory selection of mungbean genotypes in Uganda

Mbeyagala¹,

Kwikiriza²,

Amayo³

et al. 2017

Afr. Crop Sci. J.

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“…Increased interest in pulses is stemming research worldwide. New mash bean cultivars are being released to replace old genotypes in the quest for higher and more consistent yields in both traditional (Khaimichho et al, 2014;Sartaj and Anwar, 2015;Mbeyagala et al, 2016) and new cropping areas (Pekşen et al, 2015). The appraisal of yield related attributes and yield stability across environments is of crucial importance in development and introduction of improved varieties.…”

Section: Discussionmentioning

confidence: 99%

“…Several works addressed the genetic control of quantitative traits associated with yield in mash bean genotypes (Khaimichho et al, 2014;Hemavathy et al, 2015;Mbeyagala et al, 2016). Only in one work (Mbeyagala et al, 2016) this process involved a multilocation experiment as in our case.…”

Section: Discussionmentioning

confidence: 99%

MASH BEAN [Vigna mungo (L.) HEPPER] GERMPLASM EVALUATION AT DIFFERENT ECOLOGICAL CONDITIONS OF PAKISTAN

Qayyum¹

2019

Appl. Ecol. Env. Res.

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Mash bean [Vigna mungo (L.) Hepper], is the third largest pulse crop in Pakistan. Nine advanced breeding lines were compared with two commercial varieties, in order to investigate their potential prior to release as cultivated varieties. A field experiment was conducted in three environments in Punjab, Pakistan, during the 2014 kharif (wet) season. Developmental, morphological and yield traits included time to reach 90% maturity, plant height, the number of branches, grain yield (GY) and its components. GY varied between 778 kg ha -1 (cv. Mash Arooj) and 1005 kg ha -1 (line 11CM-709) in the eleven genotypes, and between 438 and 1667 kg ha -1 in the three environments. The lowland environment (Piplan) was the highest yielding, despite significant water deficit. In each genotype average yield across the three environments, plotted against the regression slope of specific yield vs. average yield in each environment, allowed yield potential and stability to be shown. As a result, five breeding lines exhibited a remarkable yield potential in exchange for low stability, i.e. modest suitability for low yielding environments. The remaining lines yielded as the two commercial varieties with a higher stability across environments. These are good premises for mash bean wider diffusion in the surveyed area.

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“…The crop has a short maturity, is drought tolerant, and able to improve soil fertility through nitrogen fixation due to a symbiotic rhizobia relationship. In the arid and semi-arid areas of East Africa, mungbean is widely grown by smallholder farmers for both food and income [3].…”

Section: Introductionmentioning

confidence: 99%

“…In East Africa, the average on-farm yield of mungbean is estimated at 0.5 t/ha as against the potential yield of 1.5 t/ha, meaning that is still far below the achievable potential. Low productivity is attributed to biotic and abiotic stresses, poor cultivation techniques and limited access to improved varieties [3]. The adoption of improved mungbean production technologies is one important strategy to tackle these challenges.…”

Section: Introductionmentioning

confidence: 99%

Adoption of Improved Mungbean Production Technologies in Selected East African Countries

Mmbando¹,

Mbeyagala

Binagwa³

et al. 2021

Agriculture

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This study analyzes the factors that influence the probability and extent of the adoption of mungbean production technologies in Tanzania, Kenya and Uganda, using multivariate probit and Poisson regression models. The results show that the probability and extent of the adoption of mungbean production technologies are influenced by gender of the household, household size, farm size, livestock size, household assets, access to extension services and access to credit. The study suggests that policy interventions that aimed at targeting women farmers, increasing household asset and information dissemination, such as field demonstrations and training programs, are crucial in enhancing technology adoption among smallholder farmers.

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Adaptation of introduced mungbean genotypes in Uganda

Cited by 8 publications

References 10 publications

Participatory selection of mungbean genotypes in Uganda

Participatory selection of mungbean genotypes in Uganda

MASH BEAN [Vigna mungo (L.) HEPPER] GERMPLASM EVALUATION AT DIFFERENT ECOLOGICAL CONDITIONS OF PAKISTAN

Adoption of Improved Mungbean Production Technologies in Selected East African Countries

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