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Genetic Diversity of Mitochondrial DNA of Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) Associated with Cassava and the Occurrence of Cassava Mosaic Disease in Zambia

Author or Institution as Author
Patrick Chiza Chikoti
Co-authors

Mathias Tembo , James Peter Legg , Rudolph Rufini Shirima, Habibu Mugerwa and Peter Sseruwagi 

Date of publication
Edition or Version
1.00
Institution
ZARI
File format
Language
Description/Abstract

Bemisia tabaci is an important vector of cassava brown streak viruses and cassava mosaic begomoviruses, the causal agents of cassava brown streak disease and cassava mosaic disease (CMD), respectively. A study was carried out to determine the genetic variability of B. tabaci associated with cassava and the occurrence of CMD in Zambia in 2013 and 2015. Phylogenetic analysis showed the presence of only the sub-Saharan Africa 1 (SSA1) genetic group in Zambia. The SSA1 population had three population subgroups (SGs): SSA1-SG1, SSA1-SG2 and SSA1-SG3. All three SSA1 population subgroups occurred in Western Province. However, only SSA1-SG3 occurred in Eastern Province, while only SSA1-SG1 occurred in North Western and Luapula Provinces. Adult B. tabaci were most abundant in Western Province in 2013 (11.1/plant) and 2015 (10.8/plant), and least abundant (0.2/plant) in Northern Province in both 2013 and 2015. CMD was prevalent in all seven provinces surveyed, with the highest incidence recorded in Lusaka Province in both 2013 (78%) and 2015 (83.6%), and the lowest in Northern Province in both 2013 (26.6%) and 2015 (29.3%). Although SSA1-SG1 occurred at greater abundances than the other subgroups, there was no direct association demonstrated between whitefly subgroup and incidence of CMD. Establishing which B. tabaci genetic groups and populations are associated with CMD and their distribution in the country is a key factor in guiding the development of CMD control strategies for cassava-dependent households.

Keywords
whitefly; genetic diversity; mtCOI; Manihot esculenta; CMD; Southern Africa
Contact name (for further information)
Patrick C. Chikoti
Contact email (for further information)
Contact institution (for further information)
ZARI
Citation

Chikoti,P., Tembo, M., Legg . P.J., Shirima, R., Mugerwa, H., & Sseruwagi, P. (2020). Genetic Diversity of Mitochondrial DNA of Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) Associated with Cassava and the Occurrence of Cassava Mosaic Disease in Zambia. Insect

CCARDESA Category

IIAM e seus Parceiros Implementam Agricultura Adaptativa ao Clima (AAC) para Melhorar a Produção Agrária nos Distritos de Angoche e Meconta

Author or Institution as Author
Osvaldo Chiporia
Co-authors

Americo Humulane

Date of publication
Edition or Version
1.00
Institution
Agricultural Research Institute of Mozambique
Gender marker
Youth marker
Description/Abstract

No âmbito do Projecto Agricultura Adaptativa ao Clima (Projecto AAC), financiado pela Ajuda Popular da Noruega (APN), o Instituto de Investigação Agrária de Moçambique (IIAM), a Associação Moçambicana para o Desenvolvimento Rural (AMDER) e a União Geral dos Camponeses de Nampula (UGCAN) desenvolveram um consórcio para implementação de suas actividades nos distritos de Angoche e Meconta, provincia de Nampula.

Keywords
Agricultura, Adaptação, mudanças Climaticas
Contact name (for further information)
Américo António Humulane
Contact email (for further information)
Contact phone (for further information)
+258847659474
Contact institution (for further information)
Agricultural Research Institute of Mozambique
Citation

Osvaldo Chiporia e Americo Humulane. (2023). IIAM e seus Parceiros Implementam Agricultura Adaptativa ao Clima (AAC) para Melhorar a Produção Agrária nos Distritos de Angoche e Meconta.  IIAM. Maputo

CCARDESA Category

Genetic Divergence and Selection of Common Bean Genotypes with High Agronomic Performance in Mozambique

Author or Institution as Author
J. Dique
Co-authors

C. Pedro, C. Fernando, G. Silota, L. Savanguane, L. Bungala, P. Manhoca, A. Charimba, M. Miguel, M. Quinhentos, D. Dias, V. Carneiro

Date of publication
Edition or Version
1.00
Institution
Agricultural Research Institute of Mozambique and others
File format
Language
Gender marker
Youth marker
Description/Abstract

The deep knowledge of genetic diversity in access, in the breeding program, and the contribution of genetic factors as well as the phenotypic expression is of extreme importance for the development of new cultivars and maintenance of the program. This research aimed to study the genetic diversity and selection of the best common bean genotypes with high agronomic performance in the Agrarian Station of Sussundenga-Mozambique. Twenty-two common bean genotypes were evaluated in a randomized block design with three repetitions in the 2021/2022 agricultural season. The agronomic characteristics evaluated were: the number of days to flowering, plant height, plant architecture, number of pods per plant, the weight of 100 seeds, and grain yield. The data obtained were submitted to individual variance analysis, followed by the Scott-Knott grouping test. For the effect of genetic divergence between the genotypes, multivariate analysis was used based on the generalized Mahalanobis distance and Tocher optimization method, UPGMA, and canonical variables for the projection of distance in the 2D plane. It was also verified by the Cophenetic Correlation Coefficient. The Singh criterion (1981) was used, indicating the characteristics Number of pods per plant (42.81%), the weight of 100 seeds (19.59%), and Plant height (16.08%) as the most important for the genetic divergence of bean genotypes.

Other Partners

Univesridade Federal de Lavras, Departamento da Biologia, Instituto de Ciênciaas Naturais

Keywords
Phaseolus vulgaris L. UPGMA, generalized Mahalanobis distance.
Contact name (for further information)
J. Dique
Contact email (for further information)
Contact institution (for further information)
Agricultural Research Institute of Mozambique
Citation

Dique, J., Pedro C., Fernando, C., Silota, G., Savanguane, L., Bungala, L., Manhoca, P., Charimba, A., Miguel, M., Quinhentos, M., Dias, D., Carneiro, V. (2022. Genetic Divergence and Selection of Common Bean Genotypes with High Agronomic Performance in Mozambique. Journal of Agriculture, Food and Environment (JAFE). Vol 3 No 4 December 2022 Pages 27-33 e-ISSN 2708-5694

CCARDESA Category

Climate Smart Agriculture (CSA) HandBook

Content Type
Author or Institution as Author
CCARDESA
Co-authors

AICCRA, CGIAR, GCCA+

Funding Partner
Date of publication
Edition or Version
1.00
Institution
CCARDESA
File format
Language
Gender marker
Youth marker
Description/Abstract

This Climate Smart Agriculture (CSA) handbook has been developed as a resource material for use by CSA practitioners in providing training, policy advocacy, and upscaling CSA technologies and practices for improving sustainable productivity, adapting to the effects of climate change, and mitigating climate change.

Contact name (for further information)
Prof Cliff Sibusiso Dlamini
Contact email (for further information)
Contact phone (for further information)
+2673914997
Contact institution (for further information)
CCARDESA
Citation

CCARDESA (2023), Climate Smart Agriculture (CSA) Handbook (1st ed.) Gaborone, Botswana.

CCARDESA Category
Subscribe to Regional Farmers Organisations

Funding Partners

4.61M

Beneficiaries Reached

97000

Farmers Trained

3720

Number of Value Chain Actors Accessing CSA

41300

Lead Farmers Supported