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The qualitative analysis of farmers' use of Indigenous knowledge on climate change adaptation across farming systems and agroecological zones of Sierra Leone was conducted using a combination of interpretive phenomenological analysis, Focus Group Discussions, and participant observation, which was analyzed with a qualitative interpretative approach. Farmers respond to climate change through the use of wind and cloud patterns, animal and bird behavior, moon shape, and position of the sun to predict changes in temperature, intensity, drying up of rivers, and frequency of rainfall, as well as the incidence of pests and diseases. Other Indigenous knowledge used by farmers were rotational grazing, migration, crop-livestock integration, and the use of manure for composting with herbal and biological treatment for disease management. The study recommended that in the current context of climate change, the promotion of adaptation strategies should explore the interdependency of different knowledge systems and knowledge hybridity in agriculture. [ABSTRACT FROM AUTHOR]

AbstractAdopting sustainable intensification technologies improves the productivity, incomes, and livelihoods of small farm households; however, their adoption remains disproportionately low. Although soil, climate and vegetative cover are important factors in determining the viability of sustainable intensification technologies in agronomic trials or field experiments, they are rarely considered in socio-economic analyses of smallholder adoption decisions. Using agroecological zones as proxies for similar soil, climate, and vegetation conditions in two agroecological zones in northern Ghana, we examined their effects on smallholder farmers’ decisions to adopt sustainable intensification technologies. We applied a multistage sampling technique to obtain data from 461 small farm households in the Sudan savannah and Guinea savannah agroecological zones. We observed a statistically significant difference in the covariates of adopters and non-adopters of sustainable intensification technologies in terms of age (6.389, p

Increasing delays in the onset of the rainy season and extended dry spells in the Nigerian savannas are complicating the determination of optimal planting dates for rain-fed crops, which increases risks for farmers. This study evaluated the impact of planting dates on soybean [Glycine max (L.) Merr.] performance to identify optimal planting dates for different soybean varieties in two agroecological zones (AEZs) of Nigeria. The study involved six planting dates (15 June, 22 June, 29 June, 6 July, 13 July, and 20 July) and three soybean varieties (TGX-1835-10E, TGX-1951-3F, TGX-1904-6F). Results showed significant differences in growth and yield parameters based on location, variety, and planting date. In the Sudan savanna (SS), AEZ at BUK-Kano, optimal yields (>1500 kg ha−1) were achieved when planting TGX-1835-10E and TGX-1951-3F from 15 to 29 June and TGX-1904-6F on 15 June. Planting beyond 29 June reduces yields by 12–55% for TGX-1835-10E and 27–63% for TGX-1951-3F. For TGX-1904-6F, planting after 15 June reduces yields by 27–90%. In the Northern Guinea savanna (NGS) AEZ at Zaria, optimal yields (>1500 kg ha−1) were obtained when planting TGX-1835-10E and TGX-1951-3F from 15 June to 6 July, and TGX-1904-6F between 15 to 29 June. Delaying planting beyond these dates significantly reduced yields by 18–31% for TGX-1835-10E and 12–20% for TGX-1951-3F and 10–41% for TGX-1904-6F.

The Fall armyworm (FAW), Spodopterafrugiperda, was first reported in a few regions of Burkina Faso in 2017. Since then, it has continued to spread and damage maize crops in the country, thereby threatening food security. This study, conducted three years later, aimed to assess the pest status on major rainy season crops, and the effects of cropping systems, crop diversity, and phenology in 11 localities of Sudanian and Sudano-Sahelian zones in Burkina Faso. Two sampling periods, the first conducted at the beginning of the rainy season and the second at the end of the season, were considered. Maize was the most FAW-infested crop, mainly as monocrops (84–88% of surveyed fields). Sorghum, pearl millet, cowpeas, and peanuts were the secondary infested crops, more infested when intercropped with maize. Maize fields were more FAW-affected in the Sudanian zone, whereas the secondary infested crops were significantly more affected in the Sudano-Sahelian zone. The highest field infestation rates were recorded during the second survey period, coinciding in most cases (> 90%) with the flowering and post-flowering of maize. Then, FAW attacks were found in vegetative, flowering, and post-flowering cereal organs. Despite the technical recommendations, most farmers (57.30 ± 10.34 and 66.78 ± 6.74% in the Sudanian and Sudano-Sahelian zones, respectively) did not apply insecticide in infested maize fields. Thus, in 3 years, the FAW has become an important pest of cereals, specifically maize, in the main agricultural zones of Burkina Faso. These results should be taken into account to develop effective control actions against FAW. [ABSTRACT FROM AUTHOR]

Nigeria is committed to achieving a 20% unconditional and 45% conditional reduction of GHG emissions by 2030 through a strong focus on awareness of and preparedness for climate change impacts via the mobilization of local communities for climate change mitigation actions. As land cover changes and forestry contribute 38% and agriculture contributes 13% of the country's GHGs, farmers are among the stakeholders to be aware of and prepare for climate change mitigations and adaptations. This study assessed the knowledge of agriculturally related practices associated with climate change and its relation to climate change perception. One thousand and eighty (1080) smallholder farmers were interviewed across six agroecological zones (AEZs) of Nigeria using a structured questionnaire. The results revealed that most farmers know that deforestation and land clearance by bush burning contributes to climate change. However, many farmers did not know that methane emissions from livestock (enteric fermentation) can cause climate change. Our results further show that the farmers' perception of climate change is associated with climate change knowledge. Factors affecting the climate change knowledge of farmers include information received from government extension services, environmental NGOs, and radio, as well as experiencing extreme weather events. Farmers of dry AEZs were more aware and knowledgeable of the agricultural practices contributing to the changing environment. Increased exposure to climate change events thus appears to elevate the knowledge on the topic. Using government services, environmental NGOs, and radio to disseminate climate change information will help further in guiding and shaping farmers' perceptions towards scientific findings for appropriate actions. [ABSTRACT FROM AUTHOR]

The modification of the landscape, the intense exploitation of natural resources through intensive agriculture and the advance of the agricultural frontier result in the homogenization of the landscape and alteration of soil physicochemical conditions. These soil alterations cause changes in the composition and diversity of edaphic arthropod communities that can be used as biomonitoring and diagnostic tools in local areas. The objective of the study was to evaluate the diversity of edaphic arthropods and their association to different physicochemical parameters (i.e., pH, real density, bulk density, %OC, %OM and gravimetric and volumetric humidity) in three soil uses (permanent crop, rotational crop and pasture) in the experimental farm Tunguavita Paipa - Boyacá. The plot sampling technique was used to obtain data on biological and physicochemical variables. Samples were taken in three soil uses, permanent crop, rotational crop and cattle ranch. The edaphic arthropods and physicochemical variables were determined in the soil laboratory of the Universidad Pedagógica y Tecnológica de Colombia. The highest diversity of edaphic arthropods (309 individuals) was recorded in the permanent crop plot, followed by the rotational crop plot, both with high average values of %OM (1.82 - 1.90) and %OC (1.05 - 1.10). The Oligochaeta, Diplopoda and Araneae group were the major contributors to the biological differentiation between land uses. The changes in the abundance of edaphic arthropods were related to % gravimetric humidity, %volumetric humidity, pH, %OM and %OC, while the values of real density and bulk density did not correlate to a great extent with the changes in abundance. These variations allow the differentiation of land uses in an intervention gradient.

How heterogenous is the impact of climate change across space and the type of agricultural production? In this paper, we investigate the relationship between climate change and variability, measured by temperature and rainfall, and agricultural production at the country and agroecological zone levels of the Sahel. We consider a crop production index and five cereals (maize, millet, sorghum, wheat and rice). Based on an original climate database and an agricultural production function estimated for the period 1961–2016, we show that average rainfall and temperature during the growing season indeed have highly heterogeneous effects on agricultural production, depending on the specific needs and stress of each cereal and the agronomic and climatic conditions of each zone. [ABSTRACT FROM AUTHOR]

This article reveals the spatial and temporal patterns of winter wheat yield dynamics in Dnipropetrovsk region and assesses the role of agro–ecological and agroeconomic factors in their formation. The crop data is from the State Statistics Service of Ukraine. The data on yield of winter wheat in the period of 1966–2016, in average per year in administrative districts of Dnipropetrovsk region, are analyzed. The obtained data indicate that the average yields of winter wheat in the Dnipropetrovsk region range from 24.28 CWT/ha to 34.41 CWT/ha. The smallest inter–year variability of yield is characteristic for the Petrikivskyi region (CV = 22.41%), and the highest is for Sofievsky (CV = 31.15%). As a result of the analysis of the main components of winter wheat, the variability of the three main components was revealed, which together account for 84.05% of the total variability of yield. Major component 1 explains 78.18% of total variability. This indicates a general change in synchronous yields in the studied area, since all considered variables have high load values on the main component 1. The administrative districts, that form a belt located in the direction from the North East to the South West region, have a most coordinated the variance, which reflected by the principal component 1. Major component 2 explains 5.87% of the yield variability. This principal component is sensitive to yield opposite dynamics of central and south-western regions on the one hand and the eastern and northern regions – on the other. Cluster analysis of administrative districts was conducted based on the dynamics of winter wheat crop yields, which resulted in the discovery of four clusters. Clusters are geographically defined administrative districts, forming spatially bound areas. A similar temporal dynamics of winter wheat yields as a result of the interaction of endogenous and exogenous environmental factors is the main principle of the discovery of such environmentally homogeneous territories. The spatial distribution of the main components indicates a continuous nature, but their overlay allows us to extract the spatially discrete units that we have identified agroecological zones. Each zone is characterized by a certain character and dynamics of production capacities and has an invariant scheme of response to various climatic, ecological and agroeconomic factors.

Sweetpotato is a major food security crop grown in eastern Democratic Republic of Congo. Its production is however limited due to high prevalence of pests and diseases among other abiotic and biotic factors. A study was designed to aid understanding the knowledge of farmers about pests and their perception about climate variability impacts, as well as documenting the phenology of sweetpotato pests (pest population dynamics) in relationship with weather factors. The paper aimed at determined which climatic factors may be used as best predictors of the different status of pest populations (declines, outbreaks). Farmer based data was obtained using a semi structured questionnaire administered to several of farmers. Population dynamics of sweetpotato pests were monitored year-round from 2005 to 2015 in South Kivu province, eastern DRCongo. Field monitoring (visual counts) observations (population dynamic of different soil-dwelling and surface dwelling arthropods visiting sweetpotato fields) combined with a survey of farmers’ knowledge on sweetpotato pests and their practices in the management of these pests in South- Kivu Province were conducted for 11 years. Monitoring (with field observations and counts) was carried out in fields under different farming practices (monocropping and inter-cropping) in sites located at different altitudes. Similarly, data for climatic factors, for the same period, were collected from Lwiro Research center. Regression models were applied to understand the linkages between environmental factors (rainfall and temperature) and pest population dynamics. The results indicated that different varieties (local and improved ones) of sweetpotato are grown three times (3 seasons) per annum under various cropping systems (sole crop, mixed crops) in various agroecological zones at different altitudes. Various arthropod species visit the crop at its different stages of development including classically known pests (Acraea acerata, Cylas spp.) or as vectors of diseases (Bemisi tabaci, Aphis spp.). The results indicated a high fluctuation in the population density of different pests. The change in the population dynamics were characterized by gradual increase in the populations during rainy seasons followed by decline during dry seasons (hot months of the year). Significant (P

Although the Ethiopian potato program has released more than 30 new varieties, selected primarily for yield potential and late blight tolerance, the majority of farmers still choose to grow older ‘local varieties’. Cognizant of this, the current study aimed to identify traits that farmers consider most important when deciding which varieties to grow. The study was conducted at two sites in northwest Ethiopia, representing two major agroecological zones, in two distinct growing seasons, using a participatory variety selection approach. Diseasefree seed tubers of nine local and three new varieties were planted. Twenty-three traits were found to influence the varieties that farmers selected and seven of them differed between agroecological zones. Gender differences were also observed for three of the 23 traits at Laigaint (submoist cool agroecology). Of the 23 traits, 12 were considered very important in one or both of the agroecological zones as well as in at least one growing season. At present eight of these 12 traits are not given high priority by the Ethiopian potato variety selection program. The results show that farmers′ selection criteria are very diverse, that no variety possesses all desirable characteristics, and that there is a need for selecting varieties adapted to different agroecologies and growing seasons. This study further suggests that taking farmer interests into account is important for a highly heterozygous, clonally-propagated crop like potato to be accepted by farmers.

Understanding the community composition and diversity of arbuscular mycorrhizal fungi (AMF) in an agricultural ecosystem is important for exploiting their potential in sustainable crop production. In this study, we described the genetic diversity and community structure of indigenous AMF in rain-fed rice cultivars across six different regions in Ghana. The morphological and molecular analyses revealed a total of 15 different AMF genera isolated from rice roots. Rhizophagus and Glomus were observed to be predominant in all regions except the Ashanti region, which was dominated by the genera Scutellospora and Acaulospora. A comparison of AMF diversity among the agroecological zones revealed that Guinea Savannah had the highest diversity. Permutational Multivariate Analysis of Variance (PERMANOVA) analysis indicated that the available phosphorus (AP) in the soil was the principal determining factor for shaping the AMF community structure (p < 0.05). We report, for the first time, AMF diversity and community structure in rice roots and how communities are affected by the chemical properties of soil from different locations in Ghana.

The potential yield estimator model developed by Central Potato Research Institute, Shimla was run for four different planting dates under rainfed situations in plateau regions of India since the potato crop is grown under rainfed conditions during kharif season so as to estimate the yield potential and to find out the optimum time of planting for each location. The analysis showed that the latitude of the region greatly influenced the length of growing period, start of planting season and also the yield. The simulated yield ranged from 400 q ha-1. The suitable locations for kharif potato cultivation along with potential yields are listed for plateau region of India.

We present soil surface nitrogen (N) budgets for the agricultural sector of India, calculated as inputs minus outputs over 21 agroecological zones (AEZ), for 2000-2001. Nearly 35.4 Tg N was input from different sources, with output from harvested crops of about 21.2 Tg N. Soil surface N balance for agricultural lands showed a surplus of about 14.4 Tg. Livestock manure constituted 44% of total inputs, followed by 32.5% from inorganic fertilizer, 11.9% from atmospheric deposition and 11.6% from N fixation. Though the N balance was negative in some states, due to aggregation of states in agroecological regions, all regions showed surplus N loads, with a range of about 19-110 kg/ha. The lowest loads were found for AEZ 17 in the Eastern Himalaya, with 19 kg/ha surplus, and the highest surplus N load in AEZ 7 with 111 kg/ha in Deccan plateau and the Eastern Ghats. Temporal trends in fertilizer consumption from 1950-2000 for India suggested a massive increase of-47-fold, whereas production of major crops, rice, wheat and maize, increased nearly ∼4.0-, 10-and 6-fold, respectively. Fertilizer consumption patterns were highly concentrated in Tamilnadu (204.6 kg/ha), Haryana (132.0 kg/ha) and Punjab (148.6 kg/ha). The paper addresses the role of agricultural intensification and its implications for water quality in agroecological regions of India. [ABSTRACT FROM AUTHOR]