peer reviewed | In genetic breeding programs, body weight is measured overtime, and is historically the main source of information from animals. Random Regression Models (RRM) have been frequently used in beef cattle evaluations, but can significantly contribute to genetic progress in all species of economic importance. To our knowledge, there are no scientific studies using RRM to evaluate Polled Nellore. We aimed to estimate genetic parameters by using RRM as a way to provide basis for guidelines development of growth of this breed. The models included direct genetic and maternal genetic, permanent environmental and maternal permanent environmental as random, contemporary groups as fixed and cow age at calving as covariate effects. The residual variances were modeled from homogeneous to six heterogeneous classes. The model of orders 4, 2, 2 and 2 for direct additive genetic, maternal additive genetic, maternal permanent environmental and permanent environmental had greater performance according to statistical criteria (smaller AIC and BIC values). Estimates of direct additive genetic increased over time (range 0-5,000 Kg2) and the heritability estimates were up to 0.73 along the growth curve. Maternal heritability estimates were low, with values close to zero. Genetic correlations between ages ranged from moderate (0.60) to high (0.97). Random regression models may be an alternative to describe the changes in body weight variances throughout lifetime.

peer reviewed | Lactation persistency (LP) has been neglected over time in genetic evaluations of dairy goats. The main reason for this is the difficulty to infer about the lactation curve shape. However, some lactations models such as Wood seem to be appropriate to provide persistency estimates under biological viewpoints. The aim of this study was to fit the Wood lactation model as well as to calculate and evaluate LP as selection criteria in dairy goat breeding programs through genetic parameters estimates. A total of 23,265 first lactation test day milk yield observations from 900 animals were used. The Wood random regression model was primarily fitted to estimate the lactation curve parameters (a, b and c), and then LP and total milk yield (TMY). Posteriorly, a multi-trait animal model was fitted considering simultaneously LP and TMY. The heritability estimates were 0.31 and 0.04 for TMY and LP, respectively. Based on the low LP heritability, selection based only on this trait might be inefficient. In conclusion, the results of this study suggests that selecting for high milk yields might result in high persistency since the genetic correlation between LP and TMY was moderate (0.39).

The four independent reviewers estimated each paper and recommended 81 articles for publishing at the proceedings consisted of 2 volumes, which started life as presentations at the Annual 23rd International Scientific Conference “Research for Rural Development 2017” held at the Latvia University of Agriculture, in Jelgava, on 17 to 19 May 2017. In the retrospect of four months later, we can count the Conference as a great success. The theme – Research for Rural Development - attracted participation more than 155 researchers with very different backgrounds. There were 124 presentations from different universities of Poland, Kazakhstan, France, Czech Republic, Lithuania, Estonia, India, Russia and Latvia. Thank you for your participation! We are sure that you have learned from the presentations and discussions during the conference and you can use the outcomes in the future. The cross disciplinary proceedings of the Annual 23rd International Scientific Conference “Research for Rural Development 2017” (two volumes since 2010) are intended for academics, students and professionals. The subjects covered by those issues are crop production, animal breeding, agricultural engineering, agrarian and regional economics, food sciences, veterinary medicine, forestry, wood processing, water management, environmental engineering, landscape architecture, information and communication technologies. The papers are grouped according to the sessions in which they have been presented.

The four independent reviewers estimated each paper and recommended 81 articles for publishing at the proceedings consisted of 2 volumes, which started life as presentations at the Annual 23rd International Scientific Conference “Research for Rural Development 2017” held at the Latvia University of Agriculture, in Jelgava, on 17 to 19 May 2017. In the retrospect of four months later, we can count the Conference as a great success. The theme – Research for Rural Development - attracted participation more than 155 researchers with very different backgrounds. There were 124 presentations from different universities of Poland, Kazakhstan, France, Czech Republic, Lithuania, Estonia, India, Russia and Latvia. Thank you for your participation! We are sure that you have learned from the presentations and discussions during the conference and you can use the outcomes in the future. The cross disciplinary proceedings of the Annual 23rd International Scientific Conference “Research for Rural Development 2017” (two volumes since 2010) are intended for academics, students and professionals. The subjects covered by those issues are crop production, animal breeding, agricultural engineering, agrarian and regional economics, food sciences, veterinary medicine, forestry, wood processing, water management, environmental engineering, landscape architecture, information and communication technologies. The papers are grouped according to the sessions in which they have been presented.

The objective of this study was to estimate genetic parameters of reproduction traits of pure Fogera cattle at Metekel Ranch. Metekel cattle Breeding and Improvement Ranch has so far been engaged in maintenance of Fogera cattle population outside their adapted environment (ex-situ conservation). The breeding program has two components: selection and crossbreeding. The establishment of the pure breed unit is meant for the improvement of the Fogera breed and for providing heifers to cross- breed to exotic dairy sires (by Artificial insemination). In cross breeding program; crossbred animals are produced through artificial insemination of Fogera cows with Friesian semen. Around three to six months of pregnancy, the F1 cross heifers are sold to farmers for milk production (Melaku et al., 2011a, b). Very recently the ranch started to distribute non pregnant F1 cross heifers. WOMBAT software was used to estimate genetic parameters. The variance components and heritability were estimated using a Uni-variate animal model using four models which fitted direct additive, dam genetic and permanent environmental effect as a random effect and the fixed effects (year, season, sex and parity). Parameter of age at first calving (AFC) were estimated using Model 1 (Y= Xb + Z1a + e), Model2 (Y= Xb + Z1a + Z3c + e), Model3 (Y= Xb + Z1a + Z2m + e (cova, m = 0), and Model4 (Y= Xb + Z1a + Z2m + Z3c + e (cova, m = 0) whereas parameters of reproductive traits including gestation length (GL), calving interval (CI) and days open (DO) were estimated using model 2 and 4 which fit permanent environmental effect due to repeated records per cow. Correlations (genetic and phenotypic) among the different traits were estimated from bi--variate analysis by using model 1 for growth traits and AFC and model 2 to estimate the correlation between CI, GL and DO and birth weight (BWT) and GL. Correlation between birth weight and gestation length were estimated by treating gestation length as a trait of calf. Due to record limitation correlation between AFC with other reproductive traits were not estimated. Estimates of direct heritability of reproductive performance traits from the best model were 0.003 ± 0.05 for AFC, 0.00 ± 0.03 for GL and CI and 0.013 ± 0.03 for DO. The phenotypic correlations between reproductive traits were 0.003 ± 0.034 for CI and GL, 0.37 ± 0.041 for CI and DO and 0.167 ± 0.036 for DO and GL and the genetic correlation between reproductive traits ranged from -0.94 ± 0.2 for DO and GL to 0.83 ± 0.579 for CI and DO. Genetic correlation between growth and AFC ranged from 0.77 ± 0.24 for BWT and AFC to 0.87 ± 0.03 for pre-weaning average daily gain (PADG) and AFC. The phenotypic and genetic correlations between BWT and GL were 0.03 ± 0.05 and -0.84 ± 0.013 respectively. The results of genetic correlation between considered traits was ranged from moderate to high and it indicates that selection for one trait would have a significant effect on the other traits not considered however selection must be done with caution. The heritability estimates confirmed the presence of high environmental effect among the study population and it masks the individual animal genetic difference. Given the low heritability estimates obtained, effective improvement in reproduction performance of Fogera cattle could be achieved by improving the production conditions and through crossbreeding.

In this chapter, we have surveyed some of the issues relating to the implementation of participatory research for livestock development. Participatory research is only one type of research paradigm, and we do not see it as a replacement for traditional research with a technological focus. However, it can often help to generate research outputs that are much more focused on the needs of end-users in the world’s least developed countries (LDCs). Many of the issues related to applying participatory research to livestock constraints and opportunities are similar to those for other household enterprises. There is, however, a number of unique features of the role that livestock play in households, such as their capacity to support other aspects of the farming system through the provision of draught power and high quality organic matter for soil amendment (manure/compost), as well as their contribution to rolling household incomes. In smallholder farm systems, livestock are normally highly integrated in the system, both deriving and conferring benefits on other enterprises within the system, and their contributions to livelihoods are diverse and not just related to the provision of food. Much has been made of the negative impacts of livestock on environmental parameters in recent years. While effective management of livestock is essential to mitigate against their potentially negative environmental effects, it can be argued that these have often been overstated, and that good livestock management can actively support good environmental outcomes. Livestock populations are likely to increase in LDCs over the coming decades, so well planned research is likely to continue to be very important in supporting this trend by identifying approaches for increasing the productive efficiency of livestock enterprises.

This report offers specific policy and investment options articulated around two broad areas: (1) stimulating growth in agriculture and sustainable management of fisheries and (2) providing public infrastructure and services that strengthen the enabling environment. A plan to stimulate growth in agriculture and fisheries, the first broad area, could be centered around the following set of goals: revitalize the rubber sector, develop high-value fresh products, improve rice productivity, modernize land and input markets, expand access to loans for machinery and seasonal input purchases, strengthen agricultural extension services to ensure dynamism in Mon State’s farm sector, improve management of marine capture fisheries, and facilitate expansion of aquaculture. The first part of the report details the challenges and potential solutions presented by each of these points. The second part of the report details options to create a growth-enabling environment through public infrastructure and services, centered around the following goals: improve the budgetary and fiscal process to enable locally driven public investment, improve access to and reliability of infrastructure, expand the formal credit market, promote productive investment by the private sector, strengthen regulatory frameworks for the construction sector, exploit the potential for the development of tourism, and improve the quality of and access to education and health services.

The CCAFS Climate Information Services in West Africa project, in collaboration with meteorological services, radio stations, and mobile phone companies, was instrumental to the development of a component dedicated to the use and dissemination of climate information for VALPAPE program in Burkina Faso. A study tour to was organised to the Climate-Smart Villages of Tibtenga (Burkina) and Cinzana (Mali), made up of a group of 20 people from local communities, agricultural services, farmers' associations, national extension services and agricultural research.

This report offers specific policy and investment options articulated around two broad areas: (1) stimulating growth in agriculture and sustainable management of fisheries and (2) providing public infrastructure and services that strengthen the enabling environment. A plan to stimulate growth in agriculture and fisheries, the first broad area, could be centered around the following set of goals: revitalize the rubber sector, develop high-value fresh products, improve rice productivity, modernize land and input markets, expand access to loans for machinery and seasonal input purchases, strengthen agricultural extension services to ensure dynamism in Mon State’s farm sector, improve management of marine capture fisheries, and facilitate expansion of aquaculture. The first part of the report details the challenges and potential solutions presented by each of these points. The second part of the report details options to create a growth-enabling environment through public infrastructure and services, centered around the following goals: improve the budgetary and fiscal process to enable locally driven public investment, improve access to and reliability of infrastructure, expand the formal credit market, promote productive investment by the private sector, strengthen regulatory frameworks for the construction sector, exploit the potential for the development of tourism, and improve the quality of and access to education and health services.