Identification and prevalence of ticks on Merino sheep in Lesotho.

For over a decade, export of wool accounted for 58.3% of agricultural exports from Lesotho. Even though the sheep subsector contributes significantly to the economy, its development is hampered by different constraints. One of the most important constraints of sheep production is poor animal health due to widespread diseases including those caused by ticks. This study aimed to identify tick species parasitizing sheep and to determine whether tick prevalence on sheep was influenced by agroecological zone, sheep age, and seasonality. Ticks were collected from 720 sheep in the four agroecological zones of Lesotho, namely lowlands, foothills, Senqu River Valley, and highlands, during December 2018-May 2019. Ticks were picked from their sites of attachment then taken to the laboratory for identification to species level. No ticks were found on the sheep examined from the highlands and, as a result, this agroecological zone was excluded from further analysis. The following five tick species, with their overall prevalence, were identified: Rhipicephalus evertsi evertsi (38.0%), Rhipicephalus (Boophilus) decoloratus (1.6%), Hyalomma rufipes (1.0%), Otobius megnini (1.0%), and Rhipicephalus appendiculatus (0.3%). Four of the species were hard ticks (Family Ixodidae). The only soft tick species found was O. megnini (Family Agarsidae). Tick prevalence was influenced by seasonality that varied across agroecological zones. Foothills and lowlands had highest tick prevalence in December and January, respectively, and lowest prevalence in February and May, respectively, whereas Senqu River Valley had highest tick prevalence in May and lowest in March. The age of the sheep did not significantly influence prevalence of tick infestation.

Spatiotemporal rainfall and temperature variability in Suha watershed, Upper Blue Nile Basin, Northwest Ethiopia.

The aim of the study is to analyze the spatio-temporal variability and projection of rainfall and temperature (2021-2040) in Suha watershed, North West highlands of Ethiopia. The study used 4 km × 4 km reconstructed (blended) monthly rainfall and temperature data from National Meteorological Agency of Ethiopia (NMAE) and Royal Netherlands Meteorological Institute (KNMI) of Cen Trends v1 (0.25° × 0.25°), respectively. Mann-Kendall test, Sen's slope estimator, coefficient of variation, autoregressive integrated model , and the inverse distance weighted tool were used to analysis the rainfall and temperature variability for different timescale and agroecology. The coefficient of variation showed the existence of high seasonal variability than the year-to-year in the watershed. Kiremt (main rainy season) rainfall showed substantial inter-annual variability throughout the time of observation (1990-2020). Besides, the Mann-Kendall test and the Sen's slope estimator detected that except, Belg (little rainy season) rainfall, all the others including the annual exhibited a nonsignificant increasing trend at p < 0.05. Spatially, the upper part of the watershed is wetter than the lower portion and a large portion of it (40%) received 930-1024 mm of rainfall per year. The minimum temperature showed a decreasing trend (0.01 °C per year), while the maximum temperature exhibited the opposite result (0.02 °C per year). The seasonal variability in both cases showed mixed outcomes. Forty-two percent of the watershed experiences a minimum temperature of 10.6-12.0 °C, whereas 45% experiences a maximum temperature between 24.1 and 26.0 °C. Meanwhile, the projected result showed that there is a decreasing trend for mean annual rainfall and an increasing trend for mean annual temperature from 2021 to 2040. Hence, policymakers have to give priority to the designing and application of area-specific adaptive strategies to curb the impact of climate variability. Rainwater harvesting and small-scale irrigation practice could be possible options.

Inorganic fertilizer use and its association with rice yield gaps in sub-Saharan Africa.

Where and which countries should receive higher priority for improving inorganic fertilizer use in rice fields in sub-Saharan Africa (SSA)? This study addressed this question by assessing the spatial variation in fertilizer use and its association with rice yield and yield gap in 24 SSA countries through a systematic literature review of peer-reviewed papers, theses, and grey literature published between 1995 and 2021. The results showed a large variation in N, P, and K fertilizer application rates and rice yield and an opportunity for narrowing the yield gap by increasing N and P rates, especially in irrigated rice systems. We identified clusters of sites/countries based on nutrient input and yield and suggested research and development strategies for improving yields and optimizing nutrient use efficiencies. Further research is essential to identify the factors causing low fertilizer use and the poor association between its use and yield in rainfed systems.

Agroecological Zone-Specific Diet Optimization for Water Buffalo (Bubalus bubalis) through Nutritional and In Vitro Fermentation Studies.

The water buffalo faces challenges in optimizing nutrition due to varying local feed resources. In response to this challenge, the current study introduces originality by addressing the lack of region-specific feeding strategies for water buffaloes. This is achieved through the formulation of 30 different diets based on locally available resources, offering a tailored approach to enhance nutritional optimization in diverse agroecological contexts. These diets were segmented into three groups of ten, each catering to the maintenance (MD1 to MD10), growth (GD1 to GD10), and lactation/production (PD1 to PD10) needs of buffaloes. Utilizing local feed ingredients, each diet was assessed for its chemical composition, in vitro gas and methane emissions, and dry matter (DM) disappearance using buffalo rumen liquor. The production diets (127 and 32.2 g/kg DM) had more protein and fats than the maintenance diets (82.0 and 21.0 g/kg DM). There was less (p < 0.05) fiber in the production diets compared to the maintenance ones. Different protein components (PB1, PB2) were lower (p < 0.05) in the maintenance diets compared to the growth and production ones, but other protein fractions (PB3, Pc) were higher (p < 0.05) in the maintenance diet. Furthermore, the growth diets had the highest amount of other protein components (PA), while the maintenance diets had the highest amount of soluble carbohydrates (586 g/kg DM), whereas the carbohydrate fraction (CB1) was highest (p < 0.05) in the production diets (187 g/kg DM), followed by the growth (129 g/kg DM) and maintenance diets (96.1 g/kg DM). On the contrary, the carbohydrate CA fraction was (p < 0.05) higher in the maintenance diets (107 g/kg DM) than in the growth (70.4 g/kg DM) and production diets (44.7 g/kg DM). The in vitro gas production over time (12, 24, and 48 h) was roughly the same for all the diets. Interestingly, certain components (ether extract, lignin, NDIN, ADIN, and PB3 and CC) of the diets seemed to reduce methane production, while others (OM, NPN, SP, PA and PB1, tCHO and CB2) increased it. In simple words, this study reveals that different diets affect gas production during digestion, signifying a significant step towards a promising future for buffalo farming through tailored, region-specific formulations.

Differential effects of weather, plant phenology and predators on the seasonal variation of aphids on cabbage.

The aphids Lipaphis erysimi pseudobrassicae (Davis) and Myzus persicae (Sulzer) pose serious threats to the production of cruciferous crops in the tropics. Understanding their population dynamics is important for developing integrated pest management programmes to minimize their damage to crops. This study investigated the effects of climatic factors, natural enemies and plant age on the population dynamics of these pests. The population density of aphids and their natural enemies in 20 cabbage plants, and weather conditions were monitored for five cropping seasons from 2019 to 2021 in two agroecological zones of Ghana (Coastal Savannah and Deciduous Forest zones). The highest population density of L. e pseudobrassicae was recorded in January (dry season) in both agroecological zones, while the highest population density for M. persicae occurred in September (minor rainy season) and August (dry spell) in the Coastal Savannah and Deciduous Forest zones, respectively. The highest aphid densities were noted to occur during periods with low relative humidity and low rainfall. The population density of L. e. pseudobrassicae was significantly negatively related to plant age, air temperature and relative humidity, and positively related to syrphids (Paragus borbonicus) and spiders in the Coastal Savannah zone, while in the Deciduous Forest zone, it was significantly positively related to coccinellids. On the other hand, M. persicae population density was significantly positively related to syrphids and coccinellids in the Deciduous Forest zone. Rainfall negatively affected syrphids in the Coastal Savannah zone, while air temperature positively affected syrphids and negatively affected spiders in the Deciduous Forest zone. Coccinellids had a significant positive relationship with relative humidity in the Deciduous Forest zone. This study provides important insights into the key factors that regulate aphid population densities on cabbage and will support development of timely interventions to manage these pests.

Allometric equations and carbon stocks assessment for Bambusa vulgaris Schrad. ex J.C.Wendl. in the bimodal rainfall forest of Cameroon.

Over the last two decades, bamboo has received increasing attention owing to its socio-economic and environmental importance. Environmentally, bamboo plays an important role in carbon sequestration, thus enhancing climate change mitigation. In Cameroon, knowledge about the importance of Bambusa vulgaris Schrad. ex J.C.Wendl. to climate change mitigation is deficient, despite the fact that it is the most abundant bamboo species in Cameroon's Bimodal rainforest agroecological zone (Agroecological zone 5 - AEZ5). This study was initiated to develop allometric equations and estimate carbon stocks of B. vulgaris in Cameroon's AEZ5. The destructive, clump-based method was used for bamboo biomass data collection on 40 clumps and 86 culms. Regression analyses were performed to obtain allometric models for B. vulgaris biomass prediction which were used for B. vulgaris carbon stocks estimation in AEZ5. The best allometric model for culms was obtained when all predictive variables including age, diameter and height were considered into the model. For clump, the best model was obtained when the number of culms per clump, girth and average diameter were considered in the model. Model quality adjustment was better for clump aboveground biomass (AGB) compared to those of culm AGB. The model of B. vulgaris of the evergreen rainfall forest was validated with a bias of 45.5 %. Bamboo aboveground biomass proportions were 77 %, 15 % and 8 %, respectively for culms, branches and leaves. The mean density and carbon stocks of B. vulgaris were estimated at 2,0679 culms.ha-1, 257 clumps.ha-1, and 61.65 tC ha-1. B. vulgaris has a veritable carbon sequestration capacity which policymakers should consider in climate change mitigation strategies like those linked to payments for ecosystem services, voluntary carbon stocks market, Bonn Challenge, AFR100 initiative, and the Paris agreement ratified by the government of Cameroon.

Variation in the Factors Associated With Diet Quality of Children Aged 6 to 23 Months in Low and High Agroecological Zones of Rongai Subcounty, Kenya.

BACKGROUND: Adequate quality complementary diets and appropriate feeding practices are important for proper growth and development of young children. OBJECTIVE: To assess factors associated with diet diversity, meal frequency, and acceptable diet of children aged 6 to 23 months in two agroecological zones of Rongai subcounty, Kenya. METHODS: A cross-sectional study was conducted among 384 mothers/caregivers with children aged 6 to 23 months. A structured questionnaire was used to assess sociodemographic characteristics and child feeding practices. Diet diversity, meal frequency, and acceptable diet were derived from a 24-hour recall of child's food intake. Factors associated with diet quality were determined using binary logistic regression. RESULTS: Mean child diet diversity score was 3.54 ± 1.0 of 7 food groups, with 56.8% of the children achieving minimum dietary diversity. A majority of the children (81.8%) received minimum meal frequency (MMF), with significant (P < .05) difference between low (91.1%) and high (75.2%) agricultural potential areas. Children who received minimum acceptable diet (MAD) were only 34.1%. Mother/caregiver education level positively (P < .05) associated with minimum diet diversity in low potential area (adjusted odds ratio [AOR] = 3.79, 95% CI: 1.47-9.75) and with MAD in high potential area (AOR = 1.87, 95% CI: 1.01-3.46). Other factors associated with MDD, MMF, and MAD included household income and slow feeding in low potential area, and child gender and active feeding in high potential area. CONCLUSION: There is a variation in factors associated with diet quality and child feeding practices in different agroecological zones. Therefore, nutrition education and behavior change communication interventions aimed at improving child nutrition should be context-specific.

Anemia and undernutrition among children aged 6-23 months in two agroecological zones of rural Ethiopia.

BACKGROUND: Child malnutrition during the first 1,000 days, commencing at conception, can have lifetime consequences. This study assesses the prevalence of anemia and undernutrition among children aged 6-23 months in midland and lowland agroecological zones of rural Ethiopia. METHODS: Cross-sectional data examining sociodemographic, anthropometry, hemoglobin levels, and meal frequency indicators were collected from 216 children aged 6-23 months and their mothers randomly selected from eight rural kebele (villages). RESULTS: Of 216 children, 53.7% were anemic, and 39.8%, 26.9%, and 11.6% were stunted, underweight, and wasted, respectively. The prevalence of anemia was higher in the lowland agroecological zone (59.5%) than the midland (47.6%). Among those children who were stunted, underweight, and wasted, 63.5%, 66.7%, and 68.0% were anemic, respectively. Child anemia was significantly associated with the child not achieving minimum meal frequency, sickness during the last 2 weeks before the survey, stunting and low body mass index, and with maternal hemoglobin and handwashing behavior. The prevalence of stunting was higher in the lowland agroecological zone (42.3%) than the midland (36.2%). The predictors of stunting were age and sex of the child, not achieving MMF, maternal body mass index, and age. As maternal height increases, the length for age of the children increases (P=0.003). CONCLUSION: The overall prevalence of anemia and undernutrition among children aged 6-23 months in these study areas is very high. The prevalence was higher in the lowland agro-ecological zone. Health information strategies focusing on both maternal and children nutrition could be sensible approaches to minimize stunting and anemia.

Caracterización socioeconómica de fincas cafeteras del departamento de Nariño, Colombia / Socioeconomic characterization of coffee farms of the department of Nariño, Colombia

RESUMEN La adopción de tecnologías generadas para el cultivo del café depende, en gran medida de factores, como la disponibilidad de recursos y el nivel de escolaridad de los productores, lo cual, determina la importancia de analizar las condiciones socioeconómicas, en la estructuración de los sistemas productivos de café. El objetivo de esta investigación fue analizar las principales características sociales y económicas de los cafeteros en los ecotopos 220A y 221A, departamento de Nariño. Con base en un marco muestral de 16.767 predios cafeteros, se seleccionaron aleatoriamente 159 productores (86, del ecotopo 220A y 73, del 221A), con el objeto de aplicar el formulario de encuesta. En el análisis estadístico, 58 variables categóricas fueron sometidas a un análisis multivariado, mediante el método de correspondencias múltiples y análisis de clasificación jerárquica. El ecotopo 220A, se caracterizó por tener áreas de café entre 1 y 3 hectáreas, viviendas con techos de eternit y zinc, pisos de cemento, energía eléctrica, acueducto y unidad sanitaria. El rendimiento está entre 1.001 y 2.000kg.ha-1, costos de producción menores a COP1.500.000 (USD444,83). Los caficultores asisten a jornadas de capacitación y su núcleo familiar está compuesto por 4-7 personas. En el ecotopo 221A predominan las casas con techo de teja, pisos en cemento, energía eléctrica, acueducto y unidad sanitaria; las aguas servidas se disponen en pozos sépticos. No se aplican las buenas prácticas agrícolas (BPA), los rendimientos son menores a 1.500kg.ha-1 cps (café pergamino seco) y los costos de producción son inferiores a COP1.500.000ha-1. año-1 (USD444,83).

ABSTRACT The adoption of technologies generated for the coffee crop, depends to a great degree on factors such as the availability of resources and the producer´s scholarship which determines the importance of socioeconomic conditions in the coffee productive system structure. The objective of this investigation was to analyze the main coffee grower´s social and economic characteristics in the 220A and 221A Nariño Department ecotopes. 159 producers (86 from the ecotype 220A and 73 from the ecotope 221A), were selected randomly based on a sampling frame of 16.767 coffee farms, with the purpose of applying the survey questionnaire. In the statistical analysis, 58 categorical variables were used, they were subjected to a multivariate analysis using the multiple correspondence method and hierarchical classification analysis. The 220A ecotope was characterized by having coffee areas between 1 and 3 hectares, houses with eternit and zinc roofs, cement floors, electric power, aqueduct and sanitary unit. The performance is between 1.001 and 2.000kg.ha1, the cost of production is less than COP1.500,000 (USD44,83); the coffee growers attend training sessions and their family nucleus is made up of 4 - 7 people. In the ecotope 221A the houses with tile roof, cement floors, electricity, aqueduct and sanitary unit predominate; wastewater is disposed of in septic tanks. Good agricultural practices (GAP) aren't used, the yields are less than 1.500kg.ha-1 (dried parchment coffee) and the cost of production is less than $1.500.000 ha-1. year-1

Eficiência climática para as culturas da soja e do trigo no estado do Rio Grande do Sul em diferentes datas de semeadura / Climatic efficiency for soybean and wheat crops in the state of Rio Grande do Sul, Brazil, in different sowing date

Eficiência climática (EC) é um índice que demonstra em termos quantitativos a redução produtiva ocasionada pelo déficit hídrico. Assim, este trabalho teve como objetivo avaliar a EC das culturas da soja e do trigo para o estado do Rio Grande do Sul, considerando-se diferentes locais e datas de semeaduras. A EC foi obtida pela relação entre as produtividades atingível (PA) e potencial (PPf), estimadas por meio de modelos de simulação. A PA foi obtida pela estimativa da PPf, a qual foi determinada pelo método de Zona Agroecológica da FAO, deflacionada pelo déficit hídrico em cada uma das fases das culturas para cada data de semeadura, entre os anos de 1979 e 2008. Os resultados evidenciaram que as datas de semeadura influenciam a EC para a cultura da soja, a qual variou de 0,31 a 0,61. Com base nos resultados de EC e PA, há um ganho de produtividade com o atraso da semeadura de 01/10 para 21/12. Para a cultura do trigo, a EC média foi superior a 0,81, o que leva a concluir que se deve optar por datas de semeadura em que há maior PPf. As maiores PPf para o trigo são obtidas nas semeaduras a partir de meados do mês de junho ao final do mês de julho.

Climatic efficiency (EC) is an index that shows the yield loss caused by water deficiency. The objective of this study was to evaluate the EC of soybean and wheat crops for the state of Rio Grande do Sul, Brazil. The EC was obtained by the ratio between the attainable yield (PA) and potential yield (PPf) of these crops, estimated by crop simulation models. The PA was obtained by estimating the potential yield (PPf), which was determined by the FAO Agroecological Zone method, depreciated by the water deficit in each crop phenological phase for each sowing date, between 1979 and 2008. The results showed that sowing dates influenced the EC for the soybean crop, ranging from 0.31 to 0.61. Based on the results from EC and PA, there is an increase of crop yield when sowings are delayed from 01/10 to 21/12. For the wheat crop, the average EC was greater than 0.81, which allows to conclude that the best sowing dates should be chosen considering the highest PPf. The highest potential yields for the wheat crop were obtained for sowings from mid-June to end July.