EFFECT OF FARMING PRACTICES AND FARM HISTORY ON INCIDENCE OF COCONUT LETHAL YELLOWING IN MOZAMBIQUE

Management of coconut ( Cocos nucifera ) lethal yellowing disease (CLYD), which has killed about eight million coconut trees in Mozambique, has proved challenging. The objective of this study was to investigate the impact of farming practices and related history, on the CLYD incidence in Mozambique. The methodology included a socioeconomic questionnaire to the households and direct observations on the palm farms. The collected data were analysed using logistic regression. Five out of 11 explanatory variables tested, namely farm age, availability of other palm species on the coconut farm, type of coconut varieties grown, root cut practices, and intercropping had a significant (P< 0.05) effect on CLYD incidence. Coconut farms <10 years had higher odds of higher disease incidence compared to the farms between 10 to 40 years old. The presence of other palm species in the coconut farms had two times higher odds of having higher disease incidence levels compared to farms without other palm species. Tall coconut varieties were likely to be more tolerant to CLYD compared to dwarf varieties. Coconut farms with some kind of intercropping had two times higher odds of having higher disease incidence levels compared to pure stands. The practice of cutting coconut roots had three times higher odds of having high disease incidence levels compared to non-practicing farms. Farm age, availability of other palm species on the coconut farm, type of coconut varieties grown, root cut practices and intercropping need to be considered for integrated CLYD management.

Evaluation des estimations indirectes de mortalité dans trois observatoires de population au Sénégal

En Afrique sub-saharienne, les recensements constituent une source de données fondamentale pour estimer la mortalité, en raison de l’incomplétude de l’enregistrement des décès à l'état civil. Afin d’évaluer la fiabilité des niveaux de mortalité qui peuvent en être déduits, nous appliquons différentes méthodes d’estimation à des extraits des recensements sénégalais de 2002 et 2013, couvrant trois observatoires de population situés à Bandafassi, Mlomp et Niakhar. Les taux de mortalité des moins de cinq ans tirés du nombre d’enfants nés vivants et survivants s’avèrent plus bas que les niveaux attendus au vu des données du suivi démographique. Les estimations déduites des déclarations sur la survie des parents sont largement inférieures aux niveaux de mortalité adulte réellement observés selon le suivi. Par contre, les taux de mortalité par âge basés sur les décès récents déclarés dans les ménages sont conformes aux données du suivi, sauf pour la mortalité infantile qui est sensiblement sous-déclarée en 2002. Cette évaluation confirme que les méthodes indirectes procurent des estimations qui ne peuvent être considérées isolément mais doivent plutôt être systématiquement comparées les unes aux autres. Des études d’évaluation directes menées au niveau individuel à l’aide d’appariements sont nécessaires pour mieux identifier les différentes sources de biais.

Household language, residential segregation and social mobility: continuity and change in eThekwini, South Africa

This article uses South African census data for 1996, 2001 and 2011 to explore the relationship between language and social mobility in the metropolitan region of eThekwini (including what was previously known as Durban). We focus particular attention on variables selected to shed light on residential segregation and social mobility, such as education level, income, race and in-migration. Data on adults at ward level (using 2011 ward boundaries) in eThekwini is used to develop a comparative spatial context for this analysis. Our main finding is that English appears in eThekwini to be the household language of the social elite as well as the language of upward mobility and empowerment.

The impact of household size on poverty: An analysis of various low-income townships in the Northern Free State region, South Africa

Poverty is a multi-dimensional socio-economic problem in most sub-Saharan African countries. The purpose of this study is to analyse the relationship between household size and poverty in low-income communities. The Northern Free State region in South Africa was selected as the study region. A sample of approximately 2 900 households was randomly selected within 12 poor communities in the region. A poverty line was calculated and 74% of all households were found to live below the poverty line. The Pearson’s chi-square test indicated a positive relationship between household size and poverty in eleven of the twelve low-income communities. Households below the poverty line presented larger households than those households above the poverty line. This finding is in contradiction with some findings in other African countries due to the fact that South Africa has higher levels of modernisation with less access to land for subsistence farming. Effective provision of basic needs, community facilities and access to assets such as land could assist poor households with better quality of life. Poor households also need to be granted access to economic opportunities, while also receiving adult education regarding financial management and reproductive health.