Dans les pays du Sud ruraux et à faibles revenus, la vulnérabilité des zones agricoles pluviales, face à la variabilité pluviométrique, nécessite de trouver des solutions efficaces pour limiter les effets des aléas climatiques sur les récoltes. La prévision des caractéristiques des saisons des pluies quelque temps avant leur démarrage devrait aider à l’établissement de stratégies agricoles d’adaptation aux aléas pluviométriques. C’est à cet objectif que s’attache ce travail, appliqué à l’Afrique de l’Est (Kenya et nord de la Tanzanie), et articulé en 3 parties :- Définir et comprendre le comportement des descripteurs intra saisonniers (DIS) qui feront l’objet de l’étude de prévisibilité. Un travail spécifique a permis le développement d’une nouvelle approche méthodologique dans la manière de définir les démarrages (DSP) et fins (FSP) de saisons des pluies à l’échelle régionale. Cette approche basée sur une analyse multivariée, permet de s’affranchir des choix subjectifs de seuils pluviométriques imposés par les définitions communément utilisée en agro-climatologie. Une analyse de cohérence spatiale à l’échelle inter annuelle montre que, pour les deux saisons des pluies (long rains et short rains), le cumul saisonnier et le nombre de jours de pluie présentent une forte cohérence spatiale, tandis qu’elle est plus modérée pour le démarrage et fin des saisons et faible pour l’intensité quotidienne moyenne.- Analyser la prévisibilité des DIS aux 2 échelles spatiales régionale et locale en s’appuyant sur les simulations numériques du modèle climatique global ECHAM 4.5. Les précipitations quotidiennes simulées par le modèle, même après correction des biais, ne permettent pas d’appréhender correctement la variabilité interannuelle des DIS. Une spécification de la variabilité des DSP et FSP menée par le biais de modèles statistiques construits à partir d’indices climatiques observés, présuppose une prévisibilité modérée des deux descripteurs à l’échelle locale (régionale), et cela quelle que soit la saison. Le développement de modèles statistico-dynamiques à partir des champs de vents simulés par ECHAM 4.5, en mode forcé par les températures marines observées d’une part et prévues d’autre part, montre également des performances faibles localement et régionalement. - Explorer la manière dont la variabilité spatio-temporelle des paramètres climatiques et environnementaux module la variabilité des rendements de sorgho. Ces rendements sont simulés par le modèle agronomique SARRA-H à partir de données climatiques observées (1973-2001) dans 3 stations localisées à différentes altitudes le long des pentes orientales du Mt Kenya. Le cumul précipité et la durée de la saison expliquent une part importante de la variabilité des rendements. D’autres variables apparaissent comme jouant un rôle non négligeable ; le nombre de jours de pluies, l’intensité quotidienne moyenne ou encore certains DIS relatifs à l’organisation temporelle des pluies au sein d’une saison en font partie. L’influence des autres variables météorologiques est seulement visible pour les ‘long rains’ avec une covariation négative entre les rendements et les températures maximales ou, le rayonnement global. La date de semis semble jouer un rôle dans la modulation des rendements pour les stations de haute et moyenne altitudes, mais avec des différences notables entre les deux saisons des pluies. / In Southern countries with rural low income populations, the vulnerability of rainfed agriculture to rainfall variability requires effective solutions to mitigate the effects of climatic hazards on crops. Predicting the characteristics of rainy seasons some time before they start should help the establishment of agricultural adaptation strategies to rainfall hazards. This is the objective of the present study, focused on East Africa (Kenya and northern Tanzania), and divided in three parts:- Define and document intra-seasonal descriptors (ISD) that will be considered in the predictability study. A new methodological approach has been developed in order to define the onset date (ORS) and the cessation date (CRS) of the rainy seasons at the regional level. Based on a multivariate analysis, it eliminates the subjective choice of rainfall thresholds imposed by the definitions commonly used in agroclimatology. An analysis of spatial coherence at interannual time-scale shows that for the two rainy seasons ("long rains" and "short rains"), the seasonal amount and the number of rainy days have a high spatial coherence, while it is medium for the onset and cessation dates and low for the average daily rainfall intensity.- Analyze the predictability of the ISD at both regional and local scales based on numerical simulations from the global climate model ECHAM 4.5. Daily precipitation simulated by the model, even after bias correction, do not correctly capture the IDS interannual variability. A specification of the ORS and CRS variability using statistical models applied to observed climate indices, suggests quite a low predictability of the descriptors at the local (regional) scale, regardless of the season. The development of statistical-dynamical models from wind fields simulated by ECHAM 4.5, in experiments forced by either observed or predicted sea temperatures, also shows quite poor skills locally and regionally.- Explore how the space-time variability of climatic and environmental factors modulate the variations of sorghum yields. Crop yields are simulated by the agronomic model SARRA-H using observed climate data (1973-2001) at three stations located at different elevations along the eastern slopes of Mt Kenya. The seasonal rainfall accumulation and the duration of the season account for a large part of the yields variability. Other rainfall variables also play a significant role, among which the number of rainy days, the average daily intensity and some ISD related to the temporal organization of rainfall within the season. The influence of other meteorological variables is only found during the long rains, in the form of a negative correlation between yields and both maximum temperature and global radiation. Sowing dates seem to play a role in modulating yields for high and medium altitude stations, but with notable differences between the two rainy seasons.

Finger millet (Eleusine coracana (L.) Gaertn. ssp. coracana) is an important food, food security and cash crop in eastern and southern Africa where small-scale farmers grow it in low input farming systems. The crop has food security, nutritional, cultural, medicinal, and economic value with high industrial potential. Little research and hardly any breeding have been done on the crop leading to low yields and low production. A project was therefore implemented in western Kenya during 2004-2007 seasons to investigate the possible breeding contributions to enhance productivity and production of the crop. The research comprised a social survey, germplasm evaluation, appraisal of ethrel as a chemical hybridising agent (CHA), genetic analysis of yield, and resistance to blast and Striga, and breeding progress in developing new finger millet varieties. A participatory rural appraisal (PRA) was conducted in three districts during 2006 to position finger millet (FM) in the farming systems, production constraints, and variety diversity and farmer preferences. The PRA established the high rating the peasant farmers gave to finger millet among crop enterprises, using it for food, cash, brewing, ceremonies and medicinal purposes. Farmers cultivated many varieties ranging from five to nine in a district, but each district had its own popular variety. Farmers used the following criteria to select new cultivars: high yield potential; early maturity; resistance to blast disease, Striga, birds, drought, and lodging; large head size, dark grain colour, and good taste. This probably indicated the willingness of farmers to adopt new varieties. Farmers identified constraints to production as blast disease, Striga, wild FM, birds, rats, termites, lack of market, labour shortage, and low yield. The farmers’ variety selection criteria and production constraints underscored the need to improve finger millet varieties. Evaluation of 310 accessions for trait variability and association conducted during 2005 long rain (LR) season at two sites revealed wide variation among the accessions for yield and secondary traits. The best accessions grain yield was above the yield potential of 5,000- 6,000kg ha-1 reported in other environments. Accessions KNE 072 (7,833kg ha-1), GBK 028463 (7,085kg ha-1), GBK 029661 (6,666kg ha-1) and FMBT ACC#42 (6,566kg ha-1) were outstanding. The data showed the opportunity to select for yield directly because of its wide variability but indirect selection could also be used to exploit seedling vigour as shown by its high correlation to yield and direct and indirect positive effects on yield through plant height and single plant yield in path analysis. The wide genetic variability among the genotypes for several traits indicated high potential to breed new and better finger millet varieties. / Thesis (Ph.D.)-University of KwaZulu-Natal, Pietermaritzburg, 2008.

Small-scale farmers rarely get enough yields to sustain themselves to the next harvest. Most of these farmers are located in marginal areas with poor soils and in semi-arid areas which receive little rainfall yet the farmers practice rainfed agriculture. A number of reasons can be attributed to the low yields characterizing these farms. Lack of relevant knowledge for decision-making and climate change are among the major reasons for poor yields. Whilst there is not much the small-scale farmers can do to influence climate, they can at least make informed decisions to improve their yields. The information necessary for agricultural decision-making include the climate forecast information and information about performance of new technologies be it fertilisers, varieties or other practices. The study aimed to answer the primary research question: What is the applicability of the APSIM model in decision-making by small-scale resource constrained farmers? This question was supported by secondary research questions namely: - How useful is the APSIM model in small-scale farmers' adaptation to future climate change? - What are the current farming systems of Lower Gweru farmers with regards to maize production? - What are farmers' perceptions of climate change and what changes have they noticed in the last 10 years? - How do small-scale farmers make crop management decisions? Data was gathered through five methods namely, Focus Group Discussions, resource allocation mapping technique, APSIM simulations, on-farm experimentation, and semi-structured interviews. Data was collected from a group of 30 small-scale farmers of Lower Gweru Communal area. The study concentrated on maize production due to the fact that it is the staple food and was grown by all farmers. All the farmers perceived climate to be changing. The changes noted included late start of the rain season, early cessation of rain season and temperature extremes. The majority of farmers highlighted that they were using local indicators to make decisions about climate or to forecast the nature of the coming season before they were exposed to SCF and APSIM. The data gathered from three selected resource allocation maps were used to run the APSIM model. For which farmers were convinced that the model was credible in yield prediction based on the simulated results which reasonably compared to observed yields. The what if questions raised by farmers during the discussions were also assessed and this further increased the farmers' confidence with the model, as they viewed it as a planning and guiding tool before one can actually commit resources. The semi-structured interviews showed that most farmers will continue to use the model outputs in their decision-making. The reasons being that it was a good planning and budgeting tool, it is cheaper and faster since one can assess a lot of options in a short time and would then decide on which options are viable in a given season. The few farmers who said they would not use the model or its outputs in decision-making cited reasons including lack of a computer to install the model and that it was complex for them. Semi-structured interviews confirmed the data collected in resource allocation mapping, focused group discussions and APSIM sessions. / Thesis (M.Sc.Agric.)-University of KwaZulu-Natal, Pietermaritzburg, 2011.

The aim of the work is to analyse the production efficiency of conventional and organic farms in the Western Bohemia. Based on the data of questionnaire investigation in 2009 I selected four farms from the Pilsen Region. Evaluative criteria were as follows: the total area under cultivation, farming system (conventional or organic), type of arable crops (especially wheat, oat, potatoes). The data were extracted from terrain investigation, telephone conversations, interview with farmers, yearbook of organic farming, situational review and forecast balance of Czech Statistical Office and Ministry of Agriculture. Supporting data were extracted from ÚZEI database. Crop yields, the costs of crops and selling price in recent 10 years were investigated. From the results it can be concluded, that crop yields in organic farming are lower than crop yields in conventional farming. The yields of wheat growing in organic farming are 40 % lower than in conventional farming. The yields of potatoes growing in organic farming are 40 % lower than in conventional farming and the yields of oat growing in organic farming are 30 % lower than in conventional farming. Production efficiency of chosen crops in organic farming is comparable to conventional farming due to higher redemption price and lower costs. In some organic farms the growing of chosen crops is even more profitable than in conventional farms. Structure of costs in organic farming is the most differential component comparable to conventional farming. It is because of different spending of fertilization and crop management practice.

I Sverige finns idag inom jordbruket runt 30 000 markavvattningsföretag och det räknas med att 1,3 miljoner hektar av jordbruksmarken är dikad. Tidigare undersökningar har visat att flera av dessa dräneringssystem som byggdes för 60–100 år sedan inte längre är anpassade för det nuvarande klimatet och att dagens riktvärde på 1,2 m djup för dräneringsledningarna bör ses över. Detta, i samband med att klimatförändringarna väntas leda till bland annat en ökad årlig nederbörd, ställer Sverige inför stora utmaningar att anpassa dräneringssystemen därefter. En väldränerad jordbruksmark är en förutsättning för att minimera kväveläckage och säkra den nuvarande samt i framtiden ökade matproduktionen som krävs för att underhålla en växande befolkning. Syftet har varit att med hjälp av hydrologimodellen DRAINMOD dimensionera dräneringssystem för två fält med olika markfysikaliska egenskaper som är anpassade för dagens samt framtidens klimat. DRAINMOD simulerar grundvattennivån mellan två dräneringsrör och kan med hjälp av grödparametrar såsom rotdjup och längd på odlingssäsonger uppskatta den relativa avkastningen för en specifik gröda med hjälp av ett stressindex. Detta stressindex beräknas av DRAINMOD baserat på över- eller underskott av vatten i markprofilen. DRAINMOD beräknar även vattenförluster i form av dränering, ytavrinning samt evapotranspiration. Efter att modellen validerats mot historiska klimatdata testades varje fält mot genererad framtida klimatdata. Flera olika dräneringsdjup och avstånd analyserades med avseende på dränering, ytavrinning och relativ avkastning. Det ena fältet beläget i Östergötland, med ett dräneringsdjup på riktvärdet 1,2 m och ett dräneringsavstånd på 25–50 m ger en minimerad dränerad volym samt en relativ avkastning på 80–100 % i ett framtida klimat. Det andra fältet beläget i Skåne uppnådde en minimerad dränerad volym och en relativ avkastning på 100 % vid dräneringsdjup på 0,9 m och ett avstånd mellan ledningarna på 20–50 m. / About half of Sweden’s cultivated lands are estimated to be using artificial subsurface drainage. Earlier studies have shown that several of these drainage systems are obsolete and ill-equipped to handle the present climate conditions. Sweden has used a drain depth of 1.2 meters for the drainage systems as a guideline value, although studies have suggested it is necessary to be re-evaluated. Poorly dimensioned drainage systems in combination with an expected increase in precipitation due to climate change puts Sweden into challenges to adapt current drainage systems for the future. A well-drained soil is a crucial fundament to minimize nitrogen-losses and maximize crop yields to sustain a growing population. The aim was to model two different types of soils’ drainage systems with the hydrology model DRAINMOD and adapt these for today’s and the future’s climate. DRAINMOD simulates the hydrology of a soil for long periods of climatological records. The model predicts water table, soil water regime, drainage, run-off and crop yields associated with a certain drainage system design. Several different drainage depths and spaces for each of the two soils were analysed and evaluated. For the field located in the county of Östergötland, a drainage depth of 1.2 m and spacing of 25–50 m were sufficient to minimize drainage losses and maximize crop yield. Furthermore, a depth of 0.9 m and spacings of 20–50 m would be sufficient for the second field located in the county of Skåne.

Le climat de la planète se réchauffe et ses effets sont entachés d'une forte incertitude. Une hausse de la température et de la fréquence d'événements extrêmes tels des inondations ou des sécheresses est prévue. La forte dépendance de l'agriculture aux conditions climatiques en fait de facto un champ d'application privilégié. Cette thèse se destine ainsi à étudier la relation entre climat et agriculture, afin d'évaluer les conséquences potentielles du changement climatique, en mêlant travaux empiriques et théoriques. Les deux premiers chapitres se concentrent sur les pays en développement au travers de deux études examinant la production et les profits agricoles ainsi que les décisions de consommation des ménages agricoles indiens. Les divers scénarios climatiques envisagés montrent un effet global négatif sur la production et les profits, particulièrement pour les ménages agricoles du sud du pays. L'irrigation tout comme le mélange des cultures permettent toutefois de réduire les dommages subis, notamment pour les petits exploitants. Les deux chapitres suivants considèrent des pays économiquement développés, en commençant par une étude des rendements céréaliers européens. Les projections sous les différents scénarios climatiques indiquent une faible croissance des rendements du blé d'ici à la fin du XXIe siècle, comparativement aux observations des 25 dernières années. Ces gains faibles sont toutefois accompagnés d'une forte hétérogénéité régionale. Pour le maïs, des faibles gains d'ici la moitié du XXIe s'effacent derrières de plus fortes pertes dans le long terme. L'approche partielle est ensuite délaissée pour laisser place à une analyse en équilibre général s'attachant à étudier les effets de court terme des chocs climatiques sur les cycles économiques, à travers leur impact sur l'agriculture. Une hausse de la variance des chocs climatiques conformément à celle prévue par des scénarios climatiques entraîne un accroissement substantiel de variables macroéconomiques telles la production et l'inflation. / Global climate is warming, and the effects of climate change are associated with a lot of uncertainty. Not only average temperatures are expected to rise, but also the occurrence of extreme events such as floods or droughts. Agriculture is particularly at risk, due to the importance of weather conditions in production. This thesis therefore aims at investigating the relationship between weather variations and agricultural production, to better assess the potential effects of climate change on agriculture, relying on both theoretical and empirical methods. The first two chapters focus on developing countries and provide two empirical studies based on Indian data at the individual farm level that link climate to agricultural production and profits and to consumption decisions. We find contrasted results, with an overall damaging effect of climate change scenarios on Indian agricultural production and profits, especially for farmers in southern India. Irrigation may however help mitigating the losses, as well as crop mixing, particularly for small farms. The last two chapters consider developed countries. The first step focuses on crop yields in Europe. Under the tested climate scenarios, wheat yields are projected to slightly increase by the end of the 21$^\textrm{st}$ century relative to the observed yields from the past 25 years. These small gains are however accompanied by a lot of regional heterogeneity. For European corn yields, the projections highlight small gains in by the middle of the 21$^\textrm{st}$ century, followed by relatively higher losses in the long run. The second step relies on a general equilibrium approach, and aims at investigating the short-run impacts of weather shocks on business cycles, through their damaging effects on agriculture. Increasing the variance of climate shocks in accordance with forthcoming climate change leads to a sizeable increase in the volatility of key macroeconomic variables, such as production and inflation.

The primary aim of my research was to identify the impacts and adaptation options of climate variability and change on agricultural production in Limpopo province. The following objectives were identified: To understand the impacts of climate variability and change on agricultural production in Limpopo province , To assess the impacts of climate variability and change on agricultural production in Limpopo province and To identify adaptation measures that reduces the impacts of climate variability and change on agricultural production in Limpopo province. A representative sample of 300 farmers aged 16- 65+ years (46 percent males and 54 percent females) participated in the study. The study involved Sekhukhune and Capricorn districts, with 56 percent farmers in Capricorn and 44 percent in Sekhukhune district. The following 11 local municipalities were visited: Elias Motsoaledi, Makhuduthamaga, Fetakgomo, Ephraim Mogale, Tubatse, Lepelle Nkumpi, Blouberg, Aganang, Polokwane, and Molemole. The Limpopo province is one of the poorest provinces in the country, characterized by high unemployment rate, poverty and lack of access to a range of resources that frustrate majority of people ability to secure their livelihoods. In this study the province's economic, biological and physical environment were highlighted. The study further covers the province, s farming enterprises, systems, categories, infrastructure as well as other constraints that maybe facing the emerging farmer in the province. It is assumed that the majority of farmers in both the Capricorn and Sekhukhune districts are using different coping and adaptation strategies in order to increase their crop yields. Literature studies show that climate variability and change adaptation strategies vary from area to area due to agro ecological zones and the harshness of the effects of climate variability and change. It has also been noted that climate change is fast pushing the poorest and most marginalized communities beyond their capacity to respond. This study draws on lessons learned, experiences, and other existing research on climate change impacts and adaptation across the globe. It sets out what is needed to enable people living in poverty to adapt to climate change, and a range of interventions that are available across climate - sensitive sectors. The study has provided a literature review of the impact of climate change on the agricultural sector. In fact, it has documented some of the likely impacts of climate change based on International, continental, regional, national and provincial agricultural sector. The study highlighted the impact of climate change also on various climate - sensitive sectors including understanding water resources, forestry, natural ecosystem human health, infrastructure and coastal zones. This research also confirmed that being a full time farmer, gender, information on climate change, information received through extension services and adaptation to climate change are some of the important determinants of agricultural production, food scarcity and unemployment. A worrying situation is reviewed globally in this study and it can be concluded that climate variability and change is affecting every sector in society and it needs urgent attention. Statistics was used to determine climate variability and change impact on agricultural production. Results indicate that farmers are aware that Limpopo province is getting warmer and drier with increased frequency of droughts, changes in the timing of rains, observed trends oftemperature and precipitation. The study also presented perceived adaptation strategies used by farmers in Limpopo province. Some of their perceived adaptation strategies included: (a) Soil management strategies, (b) Water management strategies and (c) Others like use of subsidies and use of insurance. Other important adaptation options being used by farmers were also discussed in this study including different adaptation measures against colds, heat, frost, abnormal wind, hail, lack of extension support, nematodes, insecticides, worms, temperature and rainfall. The results of this study are potentially valuable to the agricultural sector considering the threats that climate change poses across climate sensitive sectors. / Environmental Sciences / D. Phil. (Environmental Management)

The aim of this research was to identify the impacts and adaptation options of climate variability and change on agricultural crop production in Vhembe District Municipality. The study will contribute to the expansion of existing literature on climate change impacts on agricultural sector. The following two main objectives were formulated for the purpose of this study:  To determine the level of awareness of small-scale maize farmers about climate change impacts and threats in Vhembe District Municipality (VDM),  To compare the level of production scales between the farmers who are aware and the farmers who are not aware of climate change impacts and its threats. The study area was the Vhembe District Municipality; a representative sample of 150 farmers (aged 18 – 65+ years, 46 percent males and 54 percent females) participated in the study. Vhembe District Municipality is one of poorest municipalities in Limpopo due to lack of infrastructure development, and as a result of that, there is an increase of socio-economic problems such as food prices increase, unemployment, scarcity of food, and lack of local markets. The study further covers the municipality’s farming enterprises, systems, categories, infrastructure as well as other constraints that may be facing the emerging farmer in the District. The study highlighted the lack of climate change information, reduction of livestock production and crop yields of the farmers in the Vhembe District. The literature studies show climate variability and change adaptation strategies such as planting different varieties, crop diversification, different planting dates and shortening of growing periods. This study draws on lessons learned, experiences, and other existing research on climate change impact and adaptation across the globe. It was concluded during the research that change in climate was already perceived by farmers in the Vhembe District and the study also presented perceived adaptation strategies used by farmers in the Vhembe District. The study concludes that there is lack of local market, and low level of farmers’ awareness about the impact of climate change on the crop production in the Vhembe district. This low level of awareness translates into a low level of crop production which results in increased socio-economic problems, low income, increased unemployment, increased crops diseases and reduced crop yields. / Environmental Sciences / M. Sc. (Environmental Management)

The primary aim of my research was to identify the impacts and adaptation options of climate variability and change on agricultural production in Limpopo province. The following objectives were identified: To understand the impacts of climate variability and change on agricultural production in Limpopo province , To assess the impacts of climate variability and change on agricultural production in Limpopo province and To identify adaptation measures that reduces the impacts of climate variability and change on agricultural production in Limpopo province. A representative sample of 300 farmers aged 16- 65+ years (46 percent males and 54 percent females) participated in the study. The study involved Sekhukhune and Capricorn districts, with 56 percent farmers in Capricorn and 44 percent in Sekhukhune district. The following 11 local municipalities were visited: Elias Motsoaledi, Makhuduthamaga, Fetakgomo, Ephraim Mogale, Tubatse, Lepelle Nkumpi, Blouberg, Aganang, Polokwane, and Molemole. The Limpopo province is one of the poorest provinces in the country, characterized by high unemployment rate, poverty and lack of access to a range of resources that frustrate majority of people ability to secure their livelihoods. In this study the province's economic, biological and physical environment were highlighted. The study further covers the province, s farming enterprises, systems, categories, infrastructure as well as other constraints that maybe facing the emerging farmer in the province. It is assumed that the majority of farmers in both the Capricorn and Sekhukhune districts are using different coping and adaptation strategies in order to increase their crop yields. Literature studies show that climate variability and change adaptation strategies vary from area to area due to agro ecological zones and the harshness of the effects of climate variability and change. It has also been noted that climate change is fast pushing the poorest and most marginalized communities beyond their capacity to respond. This study draws on lessons learned, experiences, and other existing research on climate change impacts and adaptation across the globe. It sets out what is needed to enable people living in poverty to adapt to climate change, and a range of interventions that are available across climate - sensitive sectors. The study has provided a literature review of the impact of climate change on the agricultural sector. In fact, it has documented some of the likely impacts of climate change based on International, continental, regional, national and provincial agricultural sector. The study highlighted the impact of climate change also on various climate - sensitive sectors including understanding water resources, forestry, natural ecosystem human health, infrastructure and coastal zones. This research also confirmed that being a full time farmer, gender, information on climate change, information received through extension services and adaptation to climate change are some of the important determinants of agricultural production, food scarcity and unemployment. A worrying situation is reviewed globally in this study and it can be concluded that climate variability and change is affecting every sector in society and it needs urgent attention. Statistics was used to determine climate variability and change impact on agricultural production. Results indicate that farmers are aware that Limpopo province is getting warmer and drier with increased frequency of droughts, changes in the timing of rains, observed trends oftemperature and precipitation. The study also presented perceived adaptation strategies used by farmers in Limpopo province. Some of their perceived adaptation strategies included: (a) Soil management strategies, (b) Water management strategies and (c) Others like use of subsidies and use of insurance. Other important adaptation options being used by farmers were also discussed in this study including different adaptation measures against colds, heat, frost, abnormal wind, hail, lack of extension support, nematodes, insecticides, worms, temperature and rainfall. The results of this study are potentially valuable to the agricultural sector considering the threats that climate change poses across climate sensitive sectors. / Environmental Sciences / D. Phil. (Environmental Management)

MRDV / Institute for Rural Development / See the attached abstract below