Agro-ecological Zones Research Articles

Sustainability of Agricultural Practices in Various Agro-Ecological Zones of Bhutan

Bhutan’s agriculture sector has consistently advocated sustainable agricultural practices, yet it grapples with a range of interconnected challenges. These challenges encompass limited arable land, labour shortages, human-wildlife conflicts, and inadequate irrigation facilities, outbreaks of pests and diseases, and impacts of climate change. Therefore, this study assessed the sustainability of agricultural practices at the farm level across three agro-ecological zones: dry subtropical, cool temperate, and alpine. A total of 392 households were selected through simple random sampling for face-to-face interviews. The data collection, analysis, and reporting adhered to the guidelines of Sustainable Development Goals Indicator 2.4.1. The study focused on three dimensions of sustainability, comprising eight themes and eight sub-indicators for agriculture sustainability. The sustainability status was visualized using traffic light approach: green for desirable, yellow for acceptable and red for unsustainable. Results showed social dimensions across the study areas were in a desirable status. The environmental dimension exhibited desirable status in alpine zone. However, around 60% of agricultural land in dry subtropical and 77% in cool temperate zones have acceptable fertilizer management, while about 38% and 23% respectively fall into unsustainable category. Similarly, only about 73% of agricultural areas in the cool temperate zone are in acceptable status in pesticide management, and 23% under unsustainable status. Furthermore, the economic dimension across agro-ecological zones displayed unsustainable status in farm output value with 30% of farms in cool temperate, 78% in dry subtropical, and 74% in alpine zones. Strategic interventions are imperative in addressing economic and environmental dimensions to promote resilient and sustainable agricultural practices in Bhutan and analogous regions. Findings underscore the importance of identifying that similar impacts could potentially extend to other dry subtropical regions worldwide.

Using agro-ecological zones to improve the representation of a multi-environment trial of soybean varieties.

This research introduces a novel framework for enhancing soybean cultivation in North America by categorizing growing environments into distinct ecological and maturity-based zones. Using an integrated analysis of long-term climatic data and records of soybean varietal trials, this research generates a zonal environmental characterization which captures major components of the growing environment which affect the range of adaptation of soybean varieties. These findings have immediate applications for optimizing multi-environment soybean trials. This characterization allows breeders to assess the environmental representation of a multi-environmental trial of soybean varieties, and to strategize the distribution of testing and the placement of test sites accordingly. This application is demonstrated with a historical scenario of a soybean multi-environment trial, using two resource allocation models: one targeted towards improving the general adaptation of soybean varieties, which focuses on widely cultivated areas, and one targeted towards specific adaptation, which captures diverse environmental conditions. Ultimately, the study aims to improve the efficiency and impact of soybean breeding programs, leading to the development of cultivars resilient to variable and changing climates.

АГРОБИОЛОГИЧЕСКАЯ И ЭНОЛОГИЧЕСКАЯ ХАРАКТЕРИСТИКА ПЕРСПЕКТИВНЫХ КЛОНОВ СОРТА САПЕРАВИ В УСЛОВИЯХ ЧЕРНОМОРСКОЙ АГРОЭКОЛОГИЧЕСКОЙ ЗОНЫ ВИНОГРАДАРСТВА

Clone breeding is one of the promising directions for obtaining productive, high-quality, adaptable to local conditions grape genotypes. The Saperavi variety is a classic for the winemaking of the Caucasus, therefore, its preservation for further production in the conditions of modern climate change is an urgent task. The present study is aimed at identifying clones of the Saperavi variety with improved yield and wine quality indicators that preserve productivity and adaptability to local conditions. The place of research is subzone № 1 of the Black Sea agroecological zone of viticulture, moderate continental climate, soils are southern chernozems. 2023 was much warmer compared to the climatic averages. 10 bushes (C1-C10) were isolated without visual signs of viral, bacterial and phytoplasmic infections, which, according to the results of DNA analysis, have a Saperavi DNA profile from the international VIVC database. According to the data of resistance to winter conditions, variants C2, C4, C6, C8 and C10 were distinguished, according to agrobiological records – C1, C7, C8 and C9, according to the average weight of the bunch – C1, C3, C5, C6 and C8; according to the yield per bush – C10, according to the productivity of the shoot – C2, C3 and C10. The qualitative indicators of the yield (the mass concentration of sugars and titrated acids in berry juice) were high in all variants. According to the volume fraction of ethyl alcohol, the mass concentration of titrated acids, volatile acids and the reduced extract of wine materials, all samples showed values corresponding to GOST. According to the mass concentration of sugars in dry wine in bulk, variants C1, C2, C6 and C10 were distinguished, according to the sum of phenolic substances – C2, C8 and C10, according to the sum of coloring substances – C2, C3 and C8. According to the tasting assessment, variants C3 and C6 were noted. Variants C2, C6 and C10 were determined based on a set of characteristics (resistance to winter conditions, moderate productivity and high quality of yield and wine products). Key words: GRAPES, CLONE BREEDING, PROTOCLONS, VITICULTURE, ZONING VITICULTURE

Soil quality reflects microbial resource availability and drives rhizosphere microbiome variation in Ghanaian cocoa farms

Cocoa (Theobroma cacao L.) is an important crop in Ghana and the source of livelihood for hundreds of thousands of smallholder farmers. Maintaining soil quality on these farms is critical to ensuring the long-term viability of cocoa farming and preventing deforestation to meet rising demand. However, increasing attention to soil health has revealed a significant knowledge gap related to the soil microbiome in cocoa production systems. Using a nested design of sixteen smallholder cocoa farms in agroforestry or monoculture, on different soil quality classes and in different agroecological zones, a study was conducted to identify 1) drivers of rhizosphere microbial diversity and community composition across scales and 2) the extent of microbial differentiation between soil quality classes. Soil quality had far greater impacts than agroecological zone or agroforestry vs. monoculture management on microbial diversity and community composition, accounting for 17 % of variation in prokaryotes and 10 % in fungi. Good-quality and poor-quality soils contrasted in soil and root parameters, creating variable microbial resources, which led to differences in microbial community composition and the relative abundance of specific taxa. Soil organic matter and root traits were key drivers of community composition in good-quality soils, while permanganate-oxidizable carbon was relatively more important in poor-quality soils. These results underscore the importance of considering rhizosphere microbial communities in assessments of soil quality and highlight taxa that may serve as biological indicators of soil health in cocoa agroforestry systems.

Smallholder farmers' vulnerability to climate change and variability: Evidence from three agroecologies in the Upper Blue Nile, Ethiopia

This study delves into the profound impact of climate change on agriculture in Ethiopia, particularly the vulnerabilities faced by smallholder farmers and the resulting implications for poverty. Focusing on three distinct agroecologies, namely: highland, midland, and lowland zones. The study employed a robust methodology, combining a cross-sectional survey, spatial-temporal trend analysis using GIS, and the development of an overall vulnerability index through the balanced weighted average method. The study, encompassing 646 households, combines data from a variety of sources and analytical tools like the vulnerability index, ArcGIS 10.8, and ERDA's IMAGINE 2015. Utilizing the LVI-IPCC scale, the study shows that climate change is an immediate vulnerability in all agroecological zones. It identifies highland areas as the most sensitive and exposed regions, while lowland households are found to be the most vulnerable in terms of overall vulnerabilities. The research reveals specific challenges faced by communities, such as inadequate health facilities and insufficient food and water supplies in both highland and lowland agroecosystems. Additionally, our investigation has observed a significant alteration in land use practices, specifically the shift from communal grazing land to private cultivation and plantations, emphasizing eucalyptus. This alteration enhances the ecosystem's vulnerability to climate disturbances. The study suggests targeted interventions, such as advocating for sustainable land-use practices, afforestation, and adopting climate-smart agriculture practices. It is important to implement policy measures that prioritize conserving and restoring shrubland, grazing land, and natural forests to ensure both long-term socio-economic and ecosystem resilience. The study's nuanced insights are instrumental in understanding the diverse challenges posed by climate change in Ethiopian agriculture, supporting informed policymaking and sustainable interventions.

Spatiotemporal trends and variability of rainfall across agro-ecologies in East Guji Zone, Southeast Ethiopia

Distribution and trends of rainfall reveal spatial and temporal variability that have a paramount effect on the life and livelihood of small-holder farmers. This study aimed to analyze spatial variability and temporal trends of rainfall distribution across the three Agro-Ecological Zones (AEZs) of East Guji. Time series gridded daily rainfall data (1990–2020) were collected from the Ethiopian Meteorological Institution. Different descriptive statistics, trend tests: Man Kendal and Sen’s slope estimator, Inverse Distance Weighted Index and Precipitation Concentration Index (PCI) was used in the study. The finding demonstrated that altitude and rainfall decrease as one advances from the western (highland) to the eastern (lowland) direction in the study area where the highest rainfall was recorded in Solemo (highland) and the least in Negele (lowland).The study showed that as altitude increases annual rainfall also increases and rainfall variability decreases. Similarly the mean length of the growing season declines as one advance from the highlands to the lowlands. The PCI of the lowlands, midlands, and highlands AEZs was 19%, 17%, and 12% respectively. The PCI showed that those highlands had moderately concentrated rainfall but both lowlands, and midlands, had an irregular distribution of rainfall. The Coefficient of Variation (CV) indicated that highland areas had moderate variability in rainfall in all seasons except winter. In contrast, the low and midlands had shown high variability of rainfall (>30%) in all seasons. From a seasonal perspective, both CV and PCI revealed that the winter season showed more variability than others. Moreover, a significant increasing trend of annual rainfall was observed in the highlands AEZs (Bore 15.3mm/year and Solemo14.6mm/year), lowland AEZs (Chembe 10.9mm/year, Dawa 8mm/year and Bitata 7.8mm/year) as well as midland AEZs (Kercha 14.5mm/year) at a significant level of 5%. Therefore, strategies should be designed to use additional water resources for irrigation; and provide short-cycle grown and drought-resistant crops in the rest of the midlands and lowlands AEZs.

Genetic analysis of phenotypic indicators for heat tolerance in crossbred dairy cattle

Climate change-induced rise in global temperatures has intensified heat stress on dairy cattle and is contributing to the generally observed low milk productivity. Selective breeding aimed at enhancing animals’ ability to withstand rising temperatures while maintaining optimal performance is crucial for ensuring future access to dairy products. However, phenotypic indicators of heat tolerance are yet to be effectively factored into the objectives of most selective breeding programs. This study investigated the response of milk production to changing heat load as an indication of heat tolerance and the influence of calving season on this response in multibreed dairy cattle performing in three agroecological zones Kenya. First-parity 7-day average milk yield (65 261 milk records) of 1 739 cows were analyzed. Based on routinely recorded weather data that were accessible online, the Temperature-Humidity Index (THI) was calculated and used as a measure of heat load. THI measurements used represented averages of the same 7-day periods corresponding to each 7-day average milk record. Random regression models, including reaction norm functions, were fitted to derive two resilience indicators: slope of the reaction norm (Slope) and its absolute value (Absolute), reflecting changes in milk yield in response to the varying heat loads (THI 50 and THI 80). The genetic parameters of these indicators were estimated, and their associations with average test-day milk yield were examined. There were no substantial differences in the pattern of milk yield response to heat load between cows calving in dry and wet seasons. Animals with ≤50% Bos taurus genes were the most thermotolerant at extremely high heat load levels. Animals performing in semi-arid environments exhibited the highest heat tolerance capacity. Heritability estimates for these indicators ranged from 0.06 to 0.33 and were mostly significantly different from zero (P < 0.05). Slope at THI 80 had high (0.64–0.71) negative correlations with average daily milk yield, revealing that high-producing cows are more vulnerable to heat stress and vice versa. A high (0.63–0.74) positive correlation was observed between Absolute and average milk yield at THI 80. This implied that low milk-producing cows have a more stable milk production under heat-stress conditions and vice versa. The study demonstrated that the slope of the reaction norms and its absolute value can effectively measure the resilience of crossbred dairy cattle to varying heat load conditions. The implications of these findings are valuable in improving the heat tolerance of livestock species through genetic selection.

Analysis of land use/ land cover changes and landscape fragmentation in the Baro-Akobo Basin, Southwestern Ethiopia

This study investigated the relationship between land use/land cover (LULC) changes and forested landscape fragmentation in the southwestern region of Ethiopia. Satellite images from 1986, 2002 and 2019 were collected and analyzed using standard procedures in ERDAS 2015 software. Fragstat 4.2.1 software was utilized to assess landscape fragmentation by examining a raster datasets derived from the classified LULC map over the research period. The study identified seven LULC classes in the study area. Findings revealed a substantial reduction in shrubland by 46.3%, dense forest by 23.75%, open forest by 17.3%, and wetland by 32.63%, while cropland increased by 38.06%, agroforestry by 20.29%, and settlements by 163.8% during the study period. These changes varied across different agroecological zones and slope gradients. Landscape metrics results indicated an increase in the number of patches and patch density for all LULC classes, demonstrating significant fragmentation of the landscape. The largest patch index, mean patch areas, and the percentage of landscape occupied by open forest, dense forest, shrubland, and wetland declined as a result of conversion to cropland, agroforestry, and settlement. Conversely, the largest patch index, the mean patch area and the percentage of the landscape occupied by agroforestry, cropland and settlement increased, indicating their increasing dominance in the landscape over the study periods. The findings highlighted the potential deleterious impacts of ongoing land use change and fragmentation on the environment, ecosystem function and local livelihoods. Therefore, it is crucial to implement appropriate conservation efforts and sustainable land management practices to mitigate the rapid change and fragmentation of land use and its negative impacts on sub-watershed ecosystems.

Regional efficiency and total factor productivity change for small and medium sorghum producers in Zambia: A slacks-based measure and Malmquist index approach

Zambia's efforts to promote countrywide production of sorghum is backed by a number of apropos factors. It is not only an adaptive response to the climate change challenge, but also a dietary diversity improvement measure, to achieve food and nutrition security. Further, improved sorghum production will supply emerging agro-industries, especially specialty foods, beverages and stock feed manufacturing in the country. However, regional sorghum production efficiencies in Zambia are not well known. This paper attempts to evaluate regional sorghum production technical efficiencies (TE), as well as Total Factor Productivity (TFP) change from 2011 to 2022. To study these aspects, we apply non-parametric Data Envelopment Analysis (DEA) techniques such as the Slacks-Based Measure (SBM), and the Malmquist Productivity Index (MPI), followed by bootstrap OLS regression respectively. Cross-sectional estimates from the SBM model for the 2022 cropping season indicate that average TE for small and medium sorghum farmers in Zambia was 85 percent. Sorghum production could be expanded by 411.90 t by improving TE in five of ten provinces in Zambia. The MPI shows that TFP for sorghum production in Zambia declined by 21 percent, mainly due to deteriorating sorghum production technology. Populations, rurality, agro-ecological zone IIB are the factors associated with EC and TFP decline.

Drivers of adaptive capacity of rural women farmers: The role of climate action and information mediums in rural Ghana

AbstractGender‐differentiated roles, responsibilities, access, rights, and knowledge gaps shape women's vulnerability to climate change. This is especially critical for women farmers whose livelihoods are climate‐dependent. A key component in building women farmers’ resilience to climate change is deepening their adaptive capacity. Therefore, this research sought to measure the adaptive capacity of women farmers from two unique districts of Ghana using the sustainable livelihood capitals and investigate how access to climate information and the uptake of climate action can influence women's adaptive capacity. Rural women farmers (n = 497) were interviewed through a survey and supported with key informant interviews from six agricultural staff at the selected districts. The adaptive capacity of respondents was rated moderate at 0.405. Differences between the adaptive capacity of women from different agroecological zones (Dormaa East—0.422; East Gonja—0.388) were statistically insignificant (p &gt; 0.05). All climate information mediums except the TV medium had a significant prediction on women farmers’ adaptive capacity. The odds of a decreasing relationship of predictor variables, such as extension officer medium, radio, and adaptation action, require strategic structuring to accrue holistic benefit. The study thus recommends deepening women's benefit from extension services by attracting and retaining female extensionists, while training extensionists on tailored techniques for engaging female farmers. Again, extensionists who report high outreach to female farmers should be incentivized. Traditional and modern Information and Communication Technology mediums must be explored and integrated as alternatives. Co‐benefit practices for both adaptation and mitigation should be encouraged among women farmers to deepen climate action.

Environmental, social and economic sustainability in Lao coffee

Laos has experienced an emergence of coffee cultivation as Loa farmers, many of them women, have been cultivating coffee in the understorey of natural forests. This form of agroforestry produces high-quality specialty coffee, earning farmers a significant income while preserving biodiversity. Farmers’ adoption of agroforestry, in place of traditional shifting agriculture has been supported by initiatives like the Swiss Agency for Development and Cooperation (SDC) project, which establishes agroforestry learning centres and mini-processing centres, in collaboration with companies such as the MX Coffee Company and the Comma Coffee Company. Developments in coffee cultivation have been on the rise in the last three decades in Keoset, a community in Khoun District, where failed development projects were later revived by SDC and improved upon with market-oriented initiatives. The project has assisted in establishing coffee nurseries, providing training, and establishing partnerships with private companies for processing and marketing and as a result, farmers have advanced from selling unprocessed cherries to selling parchment (semi-processed beans), earning them a higher income. Farmers selling green beans are also collecting a premium price from roasting companies and exporters. The ability to generate an income from coffee cultivation is significant, because 90% of the farmers engaged in coffee cultivation are women, who are now able to depend on an independently earned income, granting them a greater voice in household decision-making. Climate change poses potential risk to the future of coffee production, but the protection offered by forests largely shields coffee crops from storms and changes in temperature. The forests' maintenance of biodiversity also protects the predators of pests and disease, ensuring no chemical methods are needed for pest control, including against the coffee cherry borer (Hypothenemus hampei). A variety of challenges remain for which there are recommended responses. Challenges of institutional and legal context require capacity building within the government; world price fluctuations necessitate that farmers practice a mixed farming system to not rely solely on coffee; geographical limitations promote a focus on specialty-grade coffee; and competition from other cash crops requires awareness of the environmental risks associated with other crops and stricter zoning and regulation over different production systems. It is worth heeding these recommendations, as agroforestry coffee systems enhance livelihoods, empower women, promote environmental sustainability and demonstrate resilience to climate change, making it a potential model for countries facing similar challenges in similar agroecological zones.

Applicability of visual and analytical soil quality indicators in environmentally diverse catchments of the Ethiopian Rift

This research focuses on two science-based soil quality assessments, i.e., visual soil assessment (VSA) and analytical (lab-based) soil quality (SQ) assessment. The VSA, especially when conducted by farmers, offers a cost-effective approach to studying soil in extended study areas. However, little is known about the applicability of VSA in areas subjected to different degradation processes. Our study takes place in the lowland, midland, and highland agro-ecological zones (AEZs) of the Shafe and Sile-Elgo catchments, in the Southern Main Ethiopian Rift Valley. It aims to contribute to the state-of-art knowledge on VSA by evaluating its reproducibility when conducted by farmers and extensionists and its correlation to analytical SQ indicator scores, and to generate insight into SQ of the cropland in the various AEZs of two selected catchments. To that aim, 36 cropland fields were selected, half of these fields receiving soil and water conservation (SWC) practices, while no SWC was applied to the others. In each field, the VSA was conducted by farmers and experts, followed by laboratory analyses and calculation of an SQ index. Our finding reveals that overall VSA scores assigned by both groups were very strongly correlated (r=0.909–0.975, p<0.001) and reproducible at any level of stratification in the highly diverse, tropical study area covered in this research. However, the VSA indicator soil texture turned out to be non-reproducible. Both VSA and analytical SQ indicator scores are significantly (p<0.05) higher in fields receiving SWC practices and integrating both methods provided a clear contrast between fields that have good and poor SQ conditions in different AEZs of the catchments. The VSA method is less capable of capturing problems related to toxicities or low nutrient and water availability as a consequence of acidity, salinity and sodicity. Therefore, when the VSA method is applied to monitor SQ status of fields subjected to diverse degradation processes, it would be better to include specific indicators of pH and EC.

Monitoring of the phytosanitary condition of grape plantations in the South of Ukraine in 2022—2023

Goal. Comprehensive study of pathogens of new diseases and pests, bioecological features of their development, trophic and ecological relationships in modern conditions of vineyards cultivation, taking into account pesticide load and climatic conditions, in order to develop forecasts of the development of major diseases and pests and optimize the technology of vineyard protection.&#x0D; Methods. Monitoring studies of vineyard growing conditions in different agroecological zones of Ukraine. The research was conducted in the farms of Odesa region. The objects of monitoring are grape plantations of different planting periods and varietal assortment.&#x0D; Results. The phytosanitary monitoring revealed the dynamics of the bunch borer population development. The species composition and dynamics of the number of phyto- and entomophages were determined in the grape plantations of the South of Ukraine. The dynamics of the number of phytophagous mites on grape plantations of Odesa region was studied. It was found that all the studied grape varieties are infested with mites to varying degrees. The most susceptible to mites are varieties of medium or late ripening.&#x0D; Conclusions. The study of fungal diseases proved that these diseases are widespread in the grape plantations of the Northern Black Sea region, and their development depends on weather conditions during the growing season, age of plantations and biological characteristics of the variety.

Morphological Characteristics and Growth Performance of Bambusa vulgaris Schrad. Ex J. C. Wendl in Selected Agro-Ecologies of Uganda

Bamboo is a versatile and valuable resource that has been shown to have social, ecological, and economic benefits in many countries worldwide. Even though Uganda has a suitable environment for bamboo growth, it remains underutilized. One of the key challenges in promoting bamboo farming is the need for more information about the growth performance of different bamboo species in various site conditions. Therefore, this study determined the morphological characteristics and growth performance of Bambusa vulgaris in Uganda. A total of 24 bamboo farms were selected from a list of bamboo farmers provided by key informants using stratified sampling. These farms had relatively uniform B. vulgaris stands and were drawn from Uganda's three agroecological zones (AEZs): the Southwestern, West Nile, and Lake Victoria crescent agro-ecological zones. Eight temporary sample plots were established in each zone, and various growth parameters were measured. One-way Analysis of Variance (ANOVA) followed by Sidak post-hoc test was used to compare the performance of Bambusa vulgaris across the different agro-ecological zones based on growth parameters. The results of the study showed that the total above-ground biomass was highest in the Lake Victoria crescent (24.773 kg/ha), followed by the West Nile (17.141 kg/ha) and the Southwestern (15.125 kg/ha) agro-ecological zones. The growth rate of B. vulgaris after three years was found to be similar to the outstanding growth rate mentioned in the literature. The growth performance of B. vulgaris was notably better in the L. Victoria crescent compared to the West Nile and Southwestern highlands – suggesting that efforts to promote the growing of B. vulgaris should prioritize the L. Victoria crescent agro-ecological zone. Overall, this study provides valuable information on the growth performance of B. vulgaris in different agro-ecological zones in Uganda. This information can be used to guide the promotion and development of bamboo farming in the country, which has the potential to improve livelihoods and contribute to sustainable development

Climate, agroecology, and farm returns: differential impacts with implications for agricultural progress in the face of climate change

Climate change is expected to have differential impacts on different zones. In this study, we employed the Ricardian technique, estimated through ordinary least squares (OLS) to assess the impact of climate change on farmers’ revenue. We use survey data from two distinct agroecological zones in Cameroon. Our results show that rainfall is the main climatic variable affecting farmers’ revenue. The results are statistically different for the two agroecological zones. While rainfall in the dry season affects revenue in the western highland zone. No climatic variable seems to affect farm revenue in the bimodal forest zone. These results suggest that the abundance of forest in the bimodal zone maybe be shielding the zone from the effects of climate change. We therefore recommend that farmers employ water harvesting and low-cost irrigation methods to cope with changes in rainfall pattern especially in extended dry seasons. Facilitating farmers’ access to climate information particularly with respect to the onset and cessation of rains will improve the planning of farm operations.

CROP YIELD PREDICTION USING SELECTED MACHINE LEARNING ALGORITHMS

Agriculture is paramount to global food security, and predicting crop yields is crucial for policy and planning. However, predicting these yields is challenging due to the myriad of influencing factors, from soil quality to climate conditions. While traditional methods relied on historical data and farmer experience, recent advancements have witnessed a shift towards machine learning (ML) for improved accuracy. This study explored the application of machine learning (ML) techniques in predicting crop yields using data from Nigeria. Previous efforts lacked transferability across crops and localities; this research aimed to devise modular and reusable workflows. Using data from the Agricultural Performance Survey of Nigeria, this study evaluated the performance of different machine learning algorithms, including Linear Regression, Support Vector Regressor, K-Nearest neighbor, and Decision Tree Regressor. Results revealed the Decision Tree Regressor as the superior model for crop yield prediction, achieving a prediction accuracy of 72%. The findings underscore the potential of integrating ML in agricultural planning in Nigeria where agriculture significantly impacts the economy. Further research is encouraged to refine these models for broader application across varying agroecological zones.

Susceptibility of Mangifera indica (Sapindales: Anacardiaceae) cultivars to fruit flies (Diptera: Tephritidae) in 2 agroecological zones of Cameroon.

The Sudano-Sahelian and the high Guinea savannahs agroecological zones of Cameroon are suitable for the full development of tree crops, including mango. Unfortunately, fresh fruits exported to local and international markets are frequently rejected due to the presence of fruit fly larvae (Diptera: Tephritidae), resulting in drastic income losses and overuse of chemical control products. To promote sustainable management strategies, a 2-yr study (2020-2021) was conducted in 4 and 3 mixed orchards, respectively. Attacked mangoes showing signs of fruit fly damage were collected and taken to the laboratory to rear and identify fruit flies. Repeated grafting and agroclimatic differences were responsible for dissimilarities between the 2 zones, with 18 and 16 cultivars, respectively. From 2,857 attacked mangoes, 26,707 fruit flies belonging to 4 species were identified: Bactrocera dorsalis, Ceratitis cosyra, Ceratitis fasciventris, and Ceratitis anonae. Climate change was the factor determining the distribution of the 2 most important mango fruit flies: B. dorsalis was a wetland species (dominance/occurrence > 70%), while C. cosyra was a dry-land species (dominance/occurrence > 75%). Both species were responsible for high levels of infestations. Bactrocera dorsalis preferred 3 mango cultivars, namely Palmer and Smith in Zone 1, and Ifack 1 in Zone 2 (infestation > 20 individuals/100g of mango). The host-plant spectrum of C. cosyra was modified by alternative host plants. Both C. fasciventris and C. anonae were rare. Findings from this study could guide researchers in the development of monitoring tools for fruit fly populations and, subsequently, in reducing the damage they cause to mangoes.

Genomic insights into the population history and adaptive traits of Latin American Criollo cattle.

Criollo cattle, the descendants of animals brought by Iberian colonists to the Americas, have been the subject of natural and human-mediated selection in novel tropical agroecological zones for centuries. Consequently, these breeds have evolved distinct characteristics such as resistance to diseases and exceptional heat tolerance. In addition to European taurine (Bos taurus) ancestry, it has been proposed that gene flow from African taurine and Asian indicine (Bos indicus) cattle has shaped the ancestry of Criollo cattle. In this study, we analysed Criollo breeds from Colombia and Venezuela using whole-genome sequencing (WGS) and single-nucleotide polymorphism (SNP) array data to examine population structure and admixture at high resolution. Analysis of genetic structure and ancestry components provided evidence for African taurine and Asian indicine admixture in Criollo cattle. In addition, using WGS data, we detected selection signatures associated with a myriad of adaptive traits, revealing genes linked to thermotolerance, reproduction, fertility, immunity and distinct coat and skin coloration traits. This study underscores the remarkable adaptability of Criollo cattle and highlights the genetic richness and potential of these breeds in the face of climate change, habitat flux and disease challenges. Further research is warranted to leverage these findings for more effective and sustainable cattle breeding programmes.

INFLUENCE OF THE AGRO-ECOLOGICAL ZONES IN SENEGAL ON DIETARY CONSUMPTION OF PEANUT

Peanutisa valuable source of nutrients, but the patterns of peanut consumption, consumption frequencies and factors influencing peanut consumption in Senegal are poorly understood.This study surveyed the populations of four agroecological zones of Senegal:The Peanut Basin (BA), the Lower and Middle Casamance (BMC), the Eastern Senegal and Upper Casamance (SOHC) and the Senegal River Valley (VFS) with the aim of generating data on the consumption of peanut to fill this lack of knowledge and information on this food which represents a good part of the diet of the Senegalese population. The survey sampling plan is designed according to the principles of simple random sampling (SAS) combined with prior stratification. The results of the study showed that peanut-based dishes such as Nieleng in the BA use approximately 1048g of peanut during its preparation. In the VFS, the preparation of Dakhine requires an intake of 692g of peanut. The frequency of consumption of peanut-based dishes also varies according to agro-ecological zones. In the Peanut Basin, Mafe using approximately 465.7g per dish is consumed once or twice a week as is Mbaxalu Saloum in the BMC where 222.8g of peanut are used for a prepared dish. Individual peanut consumption varies depending on the agro-ecological zones. The highest average consumption is noted in the BA with 50.57g. It is followed by the SOHC, the VFS and the BMC with respective values of 41.38g, 25.18g. and 24.73g. People headed by a man in households consume an average of 50g of peanut per day per dish and those headed by a woman, around 40g.Polygamous families consume on average 55.4g of peanut per day per peanut dish. People in families whose chef did not attend school consume on average 51.6g of peanut per dish followed by those whose chef attended Koranic school with 50.9g of peanut per dish per day.

Seedling survival and plantation success in the drylands of Northern Ethiopia

We studied tree seedling survival rates and plantation success of the Growth and Transformation Plan I—GTP I (2011–2015) in the drylands of Northern Ethiopia. The study was carried out in six randomly selected districts of Tigrai region that represent three agro-ecological zones: the highland, midland and lowland. A biophysical survey was conducted to assess the survival rates of tree seedlings and the success rate of the plantation interventions. The study employed both primary and secondary data sources. Results revealed that there were variations (P < 0.05) in the survival of planted tree seedlings among plantation sites of the same village, between the villages of the same district and among the districts. The regional mean survival rate of planted tree seedlings was 53%. The planting interventions were not encouraging due to lack of pre- and post-planting management, moisture stress, poor soil and site conditions, planting an unmanageable number of seedlings, weak law enforcement and lack of proper monitoring and evaluation mechanisms. In the study areas, four types of ownership were identified: private, communal, state and youth groups. Among the ownership types, private ownership had the highest rate of success, whereas community ownership had the lowest rate. For sustaining successful plantation development, watering, pre- and post-planting management of planted tree seedlings and permanent employment of guards are important.