64 research outputs found

    Benefit-cost analysis of participatory breeding program in Syria

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    Participatory plant breeding is seen by several scientists as a way to overcome the limitations of conventional breeding by offering farmers the possibility of deciding which varieties better suit their needs and conditions without exposing them to any risk. It exploits the potential gains of breeding for specific adaptation through the selection in the marginal environment. The participation of farmers increases the probability and speed of adoption as well as the breeding efficiency and the effectiveness of the breeding program. The objective of this study is to estimate and compare the benefits and costs of participatory and conventional barley breeding programs. Benefit-cost analysis was used to analyze the costs and benefits of the PPB program at ICARDA and the conventional program at ICARDA and NARS

    Decentralized participatory plant breeding: a case from Syria

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    Conventional modern plant breeding has been recognized to be more beneficial to farmers in high potential environments or those who could profitably modify their environment to suit new cultivars, than to the poorest farmers who could not afford to make the necessary modifications. As a consequence, low yields, crop failures, malnutrition and poverty affect a large proportion of humanity

    Decentralized participatory plant breeding

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    It is widely recognized that conventional plant breeding has been more beneficial to farmers in high potential environments or those who could profitably modify their environment to suit new cultivars, than to the poorest farmers who could not afford to modify their environment through the application of additional inputs and could not risk the replacement of their traditional, well-known and reliable varieties. As a consequence, low yields, crop failures, malnutrition, famine, and eventually poverty are still affecting a large proportion of humanity. Participatory plant breeding is seen by several scientists as a way to overcome the limitations of conventional breeding by offering farmers the possibility of deciding which varieties better suit their needs and conditions without exposing the household to any risk. Participatory plant breeding exploits the potential gains of breeding for specific adaptation through decentralized selection, defined as selection in the target environment, and is the ultimate conceptual consequence of a positive interpretation of genotype x environment interactions. This article describes a model of participatory plant breeding in which genetic variability is generated by professional breeders, selection is conducted jointly by breeders, extension specialists and farmers in a number of target environments, and the best selections are used by breeders in further cycles of recombination. Farmers handle the first phases of seed multiplication of promising breeding material in village-based seed production systems. The model has the following advantages: (i) varieties reach the release phase earlier than in conventional breeding; (ii) the release and seed multiplication concentrate on varieties known to be acceptable by farmers; (iii) it increases biodiversity because different varieties are selected in different locations; (iv) varieties fit to the agronomic management that farmers are familiar with and can afford and therefore can be beneficial to poor farmers. These advantages are particularly relevant to developing countries where large investments in plant breeding have not resulted in production increases, especially in marginal environments

    Decentralized Participatory Plant Breeding

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    This report, presented by Dr. Salvatore Ceccarelli from ICARDA, describes a model of participatory plant breeding in which genetic variability is generated by professional breeders, selection is conducted jointly by breeders, extension specialists and farmers in a number of target environments, and the best selections are used by breeders in further cycles of recombination. Farmers handle the first phases of seed multiplication of promising breeding material in village-based seed production systems. The model has the following advantages: (i) varieties reach the release phase earlier than in conventional breeding; (ii) the release and seed multiplication concentrate on varieties known to be acceptable by farmers; (iii) it increases biodiversity because different varieties are selected in different locations; (iv) varieties fit to the agronomic management that farmers are familiar with and can afford and therefore can be beneficial to poor farmers. These advantages are particularly relevant to developing countries where large investments in plant breeding have not resulted in production increases, especially in marginal environments. This report was discussed at the Stakeholder Meeting at AGM2005

    A user-friendly database for Participatory Plant Breeding programs

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    In a decentralized and participatory plant breeding (PPB) program, in contrast to conventional plant breeding, farmers select from a large number of genotypes over a number of cycles in several locations. As selection is for location-specific adaptation a PPB program based on, for example, four stages of selection, generates large, unbalanced data sets. With common spreadsheet software it is not possible, or it is at least very cumbersome to extract all the information, particularly the one that is related to genotype x environment (GE) interactions. Therefore, there is a need for an information system that makes it as easy as possible to retrieve and compare data over all given factors in the PPB-program. Due to a lack of education and financial resources in developing countries, the use of existing databases was not an option because of their complexity and/or price. We have built a simple, free and user-friendly database that allows to store, retrieve and analyze the plant breeding data. The database is implemented using the Java based HyperSQL Database Engine (HSQLDB) in the package of Open Office with links to the input formats of Genstat and GGEbiPlot. The proposed database is capable of managing the following data in a PPBprogram for barley: (I) trial data for any trial or field design (II) field data for any given trait (III) results from statistical analyses (IV) farmers selection individually or in groups

    Differentially expressed genes between drought-tolerant and drought-sensitive barley genotypes in response to drought stress during the reproductive stage

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    Drought tolerance is a key trait for increasing and stabilizing barley productivity in dry areas worldwide. Identification of the genes responsible for drought tolerance in barley (Hordeum vulgare L.) will facilitate understanding of the molecular mechanisms of drought tolerance, and also facilitate the genetic improvement of barley through marker-assisted selection or gene transformation. To monitor the changes in gene expression at the transcriptional level in barley leaves during the reproductive stage under drought conditions, the 22K Affymetrix Barley 1 microarray was used to screen two drought-tolerant barley genotypes, Martin and Hordeum spontaneum 41-1 (HS41-1), and one drought-sensitive genotype Moroc9-75. Seventeen genes were expressed exclusively in the two drought-tolerant genotypes under drought stress, and their encoded proteins may play significant roles in enhancing drought tolerance through controlling stomatal closure via carbon metabolism (NADP malic enzyme, NADP-ME, and pyruvate dehydrogenase, PDH), synthesizing the osmoprotectant glycine-betaine (C-4 sterol methyl oxidase, CSMO), generating protectants against reactive-oxygen-species scavenging (aldehyde dehydrogenase,ALDH, ascorbate-dependent oxidoreductase, ADOR), and stabilizing membranes and proteins (heat-shock protein 17.8, HSP17.8, and dehydrin 3, DHN3). Moreover, 17 genes were abundantly expressed in Martin and HS41-1 compared with Moroc9-75 under both drought and control conditions. These genes were possibly constitutively expressed in drought-tolerant genotypes. Among them, seven known annotated genes might enhance drought tolerance through signalling [such as calcium-dependent protein kinase (CDPK) and membrane steroid binding protein (MSBP)], anti-senescence (G2 pea dark accumulated protein, GDA2), and detoxification (glutathione S-transferase, GST) pathways. In addition, 18 genes, including those encoding Δl-pyrroline-5-carboxylate synthetase (P5CS), protein phosphatase 2C-like protein (PP2C), and several chaperones, were differentially expressed in all genotypes under drought; thus they were more likely to be general drought-responsive genes in barley. These results could provide new insights into further understanding of drought-tolerance mechanisms in barley

    Water productivity improvement of cereals and foods legumes in the Atbara Basin of Eritrea

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    The project ‘Water Productivity Improvement of Cereals and Food Legumes in the Atbara Basin of Eritrea’ is an example of organization and implementation of farmers’ participatory research, conducted utilizing the available indigenous knowledge while empowering farming communities. Farmers have been partners in technology development with extension and research, with full decision-making power in planning, implementation, monitoring, and evaluation. The project produced, in partnership with farmers, new varieties of cereals and food legumes which have proven farmer acceptability; established seed systems which supply farmers with quality seed in a sustainable manner; enhanced farmers’ skills in participatory research and in community based seed production; strengthened the capacity of National Institutions to carry out participatory research and technology transfer, and strengthened linkages between research, seed, and extension departments by working together in cooperation with farmers and farmers’ communities. Working conditions, during the course of the project were not always easy and became challenging towards the end of the project, but to work with farmers and learn from them has been an extremely rewarding experience

    Farmers’ preferences and agronomic evaluation of dynamic mixtures of rice and bean in Nepal

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    Field trials of rice and bean dynamic mixtures were carried out in low input and hill farming systems of Nepal from 2019 to 2021 to improve productivity and resilience. The rice trials were conducted in two locations (Jumla and Lamjung) and those on bean in Jumla, using a randomized complete block design with three replications. Dynamic mixtures were constructed from landraces, improved varieties and breeding lines for both crops. A total of 48 bean entries were used in Jumla, whereas 56 and 66 rice entries were used to make location-specific dynamic mixtures in Lamjung and Jumla, respectively. They were formed by mixing diverse varieties as a strategy to maintain a broad genetic base. Farmers (men and women) and technicians selected from the most complex mixture and the selections were added to the trials starting from second year. In rice, some mixtures and selections from the mixtures gave grain yield comparable to the improved check and higher than the local checks. In the case of bean, differences between entries were not significant but some of the selections received a high preference score. Overall, the dynamic mixtures appear as a reliable material for sustainable increase in yield in the low input and hill farming system of Nepal

    Pearl millet genome sequence provides a resource to improve agronomic traits in arid environments

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    Pearl millet [Pennisetum glaucum (L.) R. Br., syn. Cenchrus americanus (L.) Morrone], is a staple food for over 90 million poor farmers in arid and semi-arid regions of sub-Saharan Africa and South Asia. We report the ~1.79 Gb genome sequence of reference genotype Tift 23D2B1-P1-P5, which contains an estimated 38,579 genes. Resequencing analysis of 994 (963 inbreds of the highly cross-pollinated cultigen, and 31 wild accessions) provides insights into population structure, genetic diversity, evolution and domestication history. In addition we demonstrated the use of re-sequence data for establishing marker trait associations, genomic selection and prediction of hybrid performance and defining heterotic pools. The genome wide variations and abiotic stress proteome data are useful resources for pearl millet improvement through deploying modern breeding tools for accelerating genetic gains in pearl millet.publishersversionPeer reviewe
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