Characterization of rice farming systems, production constraints and determinants of adoption of improved varieties by smallholder farmers of the Republic of Benin

The Republic of Benin has the potential to reduce its heavy dependence on rice imports to meet the needs of its population. For that, the identification of technological and policy interventions allowing to improve the performance of Beninese rice systems is necessary. This study therefore characterized the Beninese rice farming systems and identified the production constraints in the country's different rice-growing areas, and determinants of the adoption of improved varieties by farmers. Four hundred eighteen rice farm households were surveyed across 39 villages using participatory research tools and methods. An hierarchical cluster analysis were used to classify the surveyed farm households into rice farming systems based on household socio-demographic characteristics, farm resources, farming practices and access to agricultural extension services. The cluster analysis revealed four typologies of rice farming systems differentiated by 8 variables. These are, the semi-intensive rice farming system (cluster 1), subsistence rice farming (cluster 2), integrated rice–livestock farming system (cluster 3), and intensive rice farming system (cluster 4). The integrated rice–livestock farming system was the dominant type practiced in the northern Benin, while, it is the intensive rice farming system in the south. Fifteen production constraints across rice-growing areas were recorded, with the lack of agricultural machinery and credits as the most important. The land ownership, risk aversion, production of off-season rice, and contact of farmers with non-governmental organizations positively influenced the adoption of improved rice varieties. Our results suggest that initiatives to boost rice production in Republic of Benin should prioritize the establishment of formal agricultural credit and mechanization option policies. We recommend training of rice farmers on modern production techniques. To increase adoption of improved rice varieties, agricultural extension services should target landowners’ farmers practising off-season rice production, and having in addition to agricultural income, other income from various activities.

The impact of flood in 2018 on the socio-economic conditions of the dairy farmers in Pariyaram panchayat of Thrissur district of Kerala

Climate change poses existential threat on all forms of life on earth. Flood is one of the major fallout of it. Tropical humid zones experiences worst form of rain related disasters in the recent times. Kerala, a tropical humid state of India experienced one of the most destructive flood events of the century during August 2018. It had heavy impact on every sector including animal husbandry. Based on this event, a study was conducted to assess the impact of flood in 2018 on Livestock Farming System of Pariyaram Panchayat in Thrissur district of Kerala. The entire Panchayat was delineated into affected and unaffected wards and detailed survey on faming system and socio economic profile of the flood affected area was conducted. Pre and post flood livestock system of the flood affected area differed significantly regarding herd strength, milk production and feeding pattern. Livelihood of farmers who were depending on the agriculture and livestock rearing for their survival suffered due to the event, suggesting need for better preparedness.

Assessment of ecosystem services provided by livestock agroecosystems in the tropics: a case study of tropical island environment of Guadeloupe

The present study aims to assess (1) the ecosystem services (ES) provided by LFS and (2) the differential ES between local (Creole) and exotic breeds from pig, cattle and goat. The ES are defined as the benefits that humans derive from LFS. They were summarized in 12 ES indicators that cover services related to provisioning, ecological and socio-cultural aspects and territorial vitality. A total of 106 LFS units that covers the five agroecological zones of Guadeloupe were analysed. Functional typologies of LFS per species were created from surveys. The effect of breed on the ES indicators was tested. Results showed that the 40 pig LFS units were separated into 3 clusters that were differentiated in ES according to provisioning ES (cluster 1), cultural use and sale to the neighborhood (cluster 2) and pork self-consumption (cluster 3). The typology of the 57 farms with cattle distinguished 4 clusters with differences in ES provided in self-consumption (cluster1), ecological ES (cluster 2), socio-cultural ES for racing or draught oxen (cluster 3) and ES associated with territory vitality (cluster 4). The 66 goat LFS units were classified into 3 clusters different in ES concerning self-consumption (cluster 1), cultural aspects (cluster 2) and provisioning ES (cluster 3). Our study highlights that ES indicators are not breed dependent (P > 0.10) but rather livestock farming system dependent. The ES rely more on the rearing management than on the breed type, and up to now, there are no specifications in Guadeloupe to differentiate management between breeds.

ANALISIS KLASIFIKASI POPULASI TERNAK KAMBING DAN DOMBA DENGAN MODEL CONVOLUTIONAL NEURAL NETWORK

<span lang="IN">The number of goat populations is increasing all over the world. Sheep and goats are economically potential for business development because they do not require large areas of land, relatively small investment in business capital, and are easy to market. However, the similarities between goats and sheep can make small breeders who are just starting out in business nervous. Therefore, in goats and sheep, an intensive and efficient Precision Livestock Farming system is required. To answer this problem, goat and sheep objects was studied out using the collaboration software programming R and Python which executed in RStudio editor and Anaconda3 with the Tensor flow package. The sample data of 40 images. The model obtained from the classification results uses 20 pictures of goats and 20 pictures of sheep for training and testing. The accuracy produced shows that the prediction of training data at epoch 70 and 100 has the right accuracy with the actual data. This reinforces that the model used is good (fit) to the training dataset, but when it is applied to the testing dataset, the prediction results are still close to perfect. Epoch 70 identifies there is 1 image of a Goat which is recognized as Lamb.</span>

Nutritive attributes of Sesbania parchycapa fodder in a crop-livestock farming system

Two experiments were conducted to investigate and compare the nutritive attributes of Sesbania parchycapa (SP) in a crop-livestock farming system. In Experiment 1, the feeding attributes of Sesbania parchycapa (SP) fodder was investigated with 15 West African Dwarf (WAD) sheep, by feeding Panicum maximum (PM) alone and P. maximum supplemented with S. parchycapa (SP) in the ratio of 70:30. The study lasted 28 days, during which feed intake was monitored daily. In Experiment 2, the nutritive value of SP was investigated with WAD sheep and goats by feeding them as sole diets. The study lasted 15 days consisting of 10 days adjustment and 5 days of data collection using 5 each of bucks and rams in a completely randomised design. In the first trial, DM intake (99.5g/kgBW0.75) was higher for the control PM and least (72.8g/kgBW0.75) for SP. Total DM intake followed similar trend. In the second trial, DM (185g/kgBW0.75), CP (40%) and NDF (645g/kgBW0.75) intakes were generally higher (p<0.05). for sheep than for goats. DAM (562), CP (421) and NDF 680g/kg digestibility coefficients were also higher (p<0.05)for sheep than for goats. The N balance and retention (g/h/d) was higher in sheep. Results indicated that intake, digestibility and N- utilisation of S. parcyhcapa by sheep is better than goats although both had a positive N-balance. It could be concluded that apart from the well known positive impact of S. Parchycapa in agro forestry and alley farming systems, it can effectively serve as protein supplement in a small holder crop-livestock farming system.

Assessment of the roles and farmer-preferred traits of sweetpotato in a crop-livestock farming system in Rwanda: implications for breeding dual-purpose varieties

In Rwanda, sweetpotato (Ipomoea batatas [L.] Lam) is a highly valued crop in a crop-livestock mixed farming system. The objective of this study was to assess the role of sweetpotato in the crop-livestock farming system, to identify farmer-preferred traits, and to establish farmer-led priorities in breeding dual-purpose varieties (DPVs) in Rwanda. A participatory rural appraisal (PRA) study was conducted in three selected districts of Rwanda, namely, Bugesera, Huye, and Nyagatare. Data on the uses of sweetpotato and farmers’ trait preferences in sweetpotato varieties were collected and analysed. In Huye District, a high percent (56.7%) of respondents consumed sweetpotato every day, followed by Nyagatare with 53.3% consuming it at least twice a week. Most farmers (52.2%) used sweetpotato vines for livestock feed, depending on their availability. All respondents wanted to grow new sweetpotato varieties with improved root production combined with high aboveground biomass. About 87.7, 66.6, 56.6, and 51.1% of the respondents indicated that root-related traits of the crop such as high dry matter content (DMC), red skin colour, marketable root size, and yellow flesh colour were additional preferred traits, respectively. Therefore, farmers-preferred DPVs with improved root and green fodder yields could be developed to enhance the sustainable production and adoption of sweetpotato in a mixed farming system in Rwanda.

Occurrence of Antibodies against Herpesvirus and Arteritis Virus in Equines from the State of Rio Grande do Norte, Brazil

Background: Equine Herpesvirus type 1 (EHV-1) and Equine Arteritis Virus (EAV) have a high capacity for dissemination, causing losses in horse breeding due to reproductive, respiratory and neurological problems. In the State of Rio Grande do Norte there is only one survey, in the municipality of Mossoró, about these diseases. The purpose of this study was therefore to determine the prevalence and assess the risk factors associated with EHV-1 and EAV infections in unvaccinated horses raised in the mesoregions of East and West Potiguar in the State of Rio Grande do Norte, Brazil.Materials, Methods & Results: Between August 2018 and February 2019, blood samples were collected from equines on farms located in sixteen municipalities in the mesoregions of East and West Potiguar for the serological diagnosis of EAV (809 samples from 90 farms) and of EHV (778 samples from 88 farms), being that, only municipalities that had at least five hundred equines were included in the study. An investigative epidemiological questionnaire was applied to each property visited, containing questions related to the breeder, property, animal and the sanitary, reproductive and nutritional management. A logistic regression was performed to assess the risk factors associated with EVH, considering the serological test (positive or negative) as the dependent variable. EAV and EVH antibodies were detected through the serum virus neutralization assay. No evidence was found of EAV [0% (0/809)], but EHV showed a prevalence rate of 32% (249/778), with 80.6% (71/88) of the farms having at least one animal that tested positive, and EHV was present in all the municipalities covered in this study. The risk factors identified were: animals raised in East Potiguar (OR = 1.36, CI 95%: 1.01-1.85, P = 0.041), extensive livestock farming system (OR = 1.79, CI 95%: 1.10-2.91, P = 0.041), working animals (OR = 3.63, IC 95%: 1.91-6.91, P = 0.000), unclean facilities (OR = 2.32, CI 95%: 1.27-4.33, P = 0.006), and non-disinfected facilities (OR = 1.83, CI 95%: 1.15-2.91, P = 0.009).Discussion: The absence of horses seropositive for EAV confirms the findings reported for 132 cattle herding horses in the municipality of Mossoró, State of Rio Grande do Norte, Brazil, and by other national surveys that report zero or low occurrence rates. EAV is therefore considered an exotic disease that has not yet been diagnosed nor its etiological agent isolated in this country. EHV was found to be distributed in the two mesoregions, indicating a higher occurrence among working horses raised in the extensive livestock farming system on these farms, which were more physically fatigued and liable to be immunosuppressed, making them prone to infection, especially when left to graze in contact with other animals, although sports horses have also been found to be at high risk of becoming infected. The risk factor analysis also indicated the importance of hygiene and disinfection of livestock premises, where other biosafety measures such as quarantine and vaccination are likely not taken, and animals circulate unrestrictedly, facilitating the dissemination of the virus. Studies are therefore needed to shed light on the real situation of the presence of EAV throughout Brazil’s territory. On the other hand, EHV is widely disseminated throughout the state, and the risk factors for this disease not only underscore the importance of proper sanitary management for control of the disease but also serve as a warning to authorities and animal health professionals.

Quality Labels as Drivers of Peri-Urban Livestock Systems Resilience

Livestock farming systems have an important role in the territorial systems of the Mediterranean, but in the last twenty years the sector has undergone serious changes with an important decrease in the number of farms. The purpose of this study is to show the contribution of a local food certification to the resilience of peri-urban livestock farming system and of its food supply chain at territorial level. The focus is on the “Carne Bovina di Pisa” project, a private label promoted by the local livestock producers’ association, with the purpose of preserving biodiversity and provide farmers with an opportunity to strengthen their local marketing power. The case study is the peri-urban area of Pisa (Tuscany, Italy), representative of the urbanized Mediterranean coastal plains with high urban pressure on agricultural land and increasing agricultural abandonment in the peri-urban area. The analysis is based on the qualitative analysis of interviews to stakeholders and the quantitative figures about the changes in livestock system. Results show that the label has positively sustained both the resilience of farming systems and the local food supply chains.