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Valor de uso y política. Bolívar Echeverría y la crítica marxista a lo político
SIMON ISHAN BENITEZ DRUENNE (2019, [Tesis de maestría])
La tesis busca trabajar sobre el concepto de política a partir de las aportaciones hechas al respecto por el profesor emérito de la Universidad Autónoma de México Bolívar Echeverría Andrade. Partiendo de los elementos que consideramos constituyen su crítica a lo político en la modernidad capitalista, el trabajo empieza por explorar las condiciones de necesidad para la existencia del fenómeno político en relación con la definición del ser del hombre desde el materialismo histórico y el existencialismo sartreano. En la segunda parte se profundiza en la crítica echeverríana a lo político a partir del análisis de las consecuencias que la actualización moderno capitalista tiene sobre el ejercicio de la autarquía humana y el trabajo útil.
HUMANIDADES Y CIENCIAS DE LA CONDUCTA FILOSOFÍA FILOSOFÍA SOCIAL Bolívar Echeverría (1941-2010) Filósofos Latinoamericanos – Siglo XX Filosofía política Marxismo – Crítica e interpretación Materialismo histórico Existencialismo sartreano
Yogesh Vikal Manje Gowda (2023, [Artículo])
Brown Mid-Rib Genomic Selection CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BIOMASS SILAGE DIGESTIBILITY GENOME-WIDE ASSOCIATION STUDIES MARKER-ASSISTED SELECTION MAIZE
Multimodal deep learning methods enhance genomic prediction of wheat breeding
Carolina Rivera-Amado Francisco Pinto Francisco Javier Pinera-Chavez David González-Diéguez Matthew Paul Reynolds Paulino Pérez-Rodríguez Huihui Li Osval Antonio Montesinos-Lopez Jose Crossa (2023, [Artículo])
Conventional Methods Genomic Prediction Accuracy Deep Learning Novel Methods CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA WHEAT BREEDING MACHINE LEARNING METHODS MARKER-ASSISTED SELECTION
Breeding schemes for the implementation of genomic selection in wheat (Triticum spp.)
Filippo Maria Bassi Alison Bentley Rodomiro Ortiz Jose Crossa (2016, [Artículo])
Marker-Aided Breeding CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BREEDING VALUE GENETIC GAIN GENOTYPE ENVIRONMENT INTERACTION QUANTITATIVE TRAIT LOCI
Value chain research and development: The quest for impact
Jason Donovan (2023, [Artículo])
Motivation: For decades, governments, donors, and practitioners have promoted market-based development approaches (MBDA), most recently in the form of value chain development (VCD), to spur economic growth and reduce poverty. Changes in approaches have been shaped by funders, practitioners and researchers in ways that are incompletely appreciated. Purpose: We address the following questions: (1) how have researchers and practitioners shaped discussions on MBDA?; and (2) how has research stimulated practice, and how has practice informed research? We hypothesize that stronger exchange between researchers and practitioners increases the relevance and impact of value chain research and development. Methods and approach: We adopt Downs' (1972) concept of issue-attention cycles, which posits that attention to a particular issue follows a pattern where, first, excitement builds over potential solutions; followed by disenchantment as the inherent complexity, trade-offs, and resources required to solve it become apparent; and consequently attention moves on to a new issue. We review the literature on MBDA to see how far this framing applies. Findings: We identify five cycles of approaches to market-based development over the last 40 or more years: (1) non-traditional agricultural exports; (2) small and medium enterprise development; (3) value chains with a globalization perspective; (4) value chains with an agri-business perspective; and (5) value chain development. The shaping and sequencing of these cycles reflect researchers' tendency to analyse and criticize MBDA, while providing limited guidance on workable improvements; practitioners' reluctance to engage in critical reflection on their programmes; and an institutional and funding environment that encourages new approaches. Policy implications: Future MBDA will benefit from stronger engagement between researchers, practitioners, and funders. Before shifting attention to new concepts and approaches, achievements and failures in previous cycles need to be scrutinized. Evidence-based practice should extend for the length of the issue-attention cycle; preferably it should arrest the cycling of attention. Funders can help by requiring grantees to critically reflect on past action, by providing “safe spaces” for sharing such reflections, and by engaging in joint learning with practitioners and researchers.
Agri-Food Value Chains Issue-Attention Cycles Market-Based Development Approaches CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA VALUE CHAINS PRIVATE SECTOR RURAL DEVELOPMENT SMALLHOLDERS
Vijay Gahlaut Vandana Jaiswal Pushpendra Kumar Gupta (2019, [Artículo])
Genome-Wide Association Study Marker-Trait Associations CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENETIC LINKAGE GENETICS PROCEDURES QUANTITATIVE TRAIT LOCI WHEAT CHROMOSOME MAPPING
Nick Fradgley Alison Bentley Keith Gardner Stéphanie M. Swarbreck (2023, [Artículo])
Sustainable Food Systems Genomic Prediction Genome-Wide Association Analysis CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA WHEAT BREEDING MARKER-ASSISTED SELECTION VARIETIES FOOD SYSTEMS QUALITY
Editorial: Genomic selection: Lessons learned and perspectives
Johannes Martini Sarah Hearne Valentin Wimmer Fernando Henrique Toledo (2022, [Artículo])
Genomic Selection Selection Gain Breeding Schemes CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BREEDING PROGRAMMES MARKER-ASSISTED SELECTION GENOTYPE ENVIRONMENT INTERACTION PLANT BREEDING
Diseases of maize and phenotyping
Suresh L.M. (2023, [Objeto de congreso])
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA DISEASE RESISTANCE MAIZE PHENOTYPING GERMPLASM MARKER-ASSISTED SELECTION
Lovemore Chipindu Walter Mupangwa Isaiah Nyagumbo Mainassara Zaman-Allah (2023, [Artículo])
Autoregressive Integrated Moving Average Facebook Prophet Hidden Markov Model Regression Regression with Hidden Logistic Process CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA COASTAL AREAS SEMIARID ZONES SUBHUMID ZONES RAINFALL CLIMATE CHANGE