Multi-environment genomic prediction of plant traits using deep learners with dense architecture

Osval Antonio Montesinos-Lopez Jose Crossa (2018, [Artículo])

Shared Data Resources Deep Learning Genomic Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA ACCURACY GENOMICS NEURAL NETWORKS FORECASTING DATA MARKER-ASSISTED SELECTION

Establishment of heterotic groups for hybrid wheat breeding

Yunbi Xu (2022, [Artículo])

Genomic Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CLIMATE CHANGE CROPS FORECASTING PLANTS COMBINING ABILITY HETEROSIS HETEROTIC GROUPS MALE INFERTILITY PLANT HEIGHT WHEAT

Population and food in the early twenty-first century: meeting future food demand of an increasing population

Nurul Islam (1995, [Libro])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA FOOD POLICIES FOOD PRODUCTION FOOD SUPPLY FORECASTING

Tutoring to novel teachers. A fragment of skylight from the border of Ciudad Juarez

Silvia Gabriela Alvídrez Minora (2022, [Artículo, Artículo])

This article describes and interprets the tutoring of novice teachers in a preschool area of ​​Ciudad Juarez. The study is situated in the interpretive paradigm; It makes use of the ethnographic method and research techniques such as participant observation and interview. The partial results show that tutoring is considered an important process for the insertion and professionalization of new teachers; however, it is mentioned that this enriching relationship is only possible when there is communication between all the people involved in the tutoring, in addition to being open to peer learning.

Teacher training Novice teachers Tutoring Ciudad Juarez Formación docente Tutoría Ciudad Juárez docentes nóveles CIENCIAS SOCIALES CIENCIAS SOCIALES

Manejo de pasturas para la crianza de llamas

Santiago Lopez-Ridaura Ravi Gopal Singh (2022, [Libro])

Pasturas CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA AGRICULTURA DE CONSERVACIÓN GANADERÍA ARBUSTOS LEGUMINOSAS FORRAJES PASTOREO SUELO CAMBIO CLIMÁTICO CONSERVATION AGRICULTURE ANIMAL HUSBANDRY SHRUBS LEGUMES FORAGE GRAZING SOIL CLIMATE CHANGE LLAMAS AGACHO

High spatial resolution seasonal crop yield forecasting for heterogeneous maize environments in Oromia, Ethiopia

Kindie Tesfaye Vakhtang Shelia Pierre C. Sibiry Traore Dawit Solomon Gerrit Hoogenboom (2023, [Artículo])

Seasonal climate variability determines crop productivity in Ethiopia, where rainfed smallholder farming systems dominate in the agriculture production. Under such conditions, a functional and granular spatial yield forecasting system could provide risk management options for farmers and agricultural and policy experts, leading to greater economic and social benefits under highly variable environmental conditions. Yet, there are currently only a few forecasting systems to support early decision making for smallholder agriculture in developing countries such as Ethiopia. To address this challenge, a study was conducted to evaluate a seasonal crop yield forecast methodology implemented in the CCAFS Regional Agricultural Forecasting Toolbox (CRAFT). CRAFT is a software platform that can run pre-installed crop models and use the Climate Predictability Tool (CPT) to produce probabilistic crop yield forecasts with various lead times. Here we present data inputs, model calibration, evaluation, and yield forecast results, as well as limitations and assumptions made during forecasting maize yield. Simulations were conducted on a 0.083° or ∼ 10 km resolution grid using spatially variable soil, weather, maize hybrids, and crop management data as inputs for the Cropping System Model (CSM) of the Decision Support System for Agrotechnology Transfer (DSSAT). CRAFT combines gridded crop simulations and a multivariate statistical model to integrate the seasonal climate forecast for the crop yield forecasting. A statistical model was trained using 29 years (1991–2019) data on the Nino-3.4 Sea surface temperature anomalies (SSTA) as gridded predictors field and simulated maize yields as the predictand. After model calibration the regional aggregated hindcast simulation from 2015 to 2019 performed well (RMSE = 164 kg/ha). The yield forecasts in both the absolute and relative to the normal yield values were conducted for the 2020 season using different predictor fields and lead times from a grid cell to the national level. Yield forecast uncertainties were presented in terms of cumulative probability distributions. With reliable data and rigorous calibration, the study successfully demonstrated CRAFT's ability and applicability in forecasting maize yield for smallholder farming systems. Future studies should re-evaluate and address the importance of the size of agricultural areas while comparing aggregated simulated yields with yield data collected from a fraction of the target area.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CROP MODELLING DECISION SUPPORT SYSTEMS FORECASTING MAIZE

User manual: How to use Agvisely to generate climate service advisories for livestock in Bangladesh

T.S Amjath-Babu Timothy Joseph Krupnik (2023, [Libro])

The Agvisely digital service for livestock integrates location-specific meteorological forecasts generated by the Bangladesh Meteorological Department (BMD) with species specific biological thresholds for weather variables (Temperature, rainfall, and temperature-humidity index (THI). When a biological threshold is to be breached in next five days' forecast, the system automatically generates location-specific management advice for livestock farmers. Advisories are based on a decision tree developed by the Bangladesh Livestock Research Institute (BLRI) and CIMMYT. Agvisely is a smart phone app and web-based service developed by the International Maize and Wheat Improvement Center (CIMMYT) CIMMYT with the support of USAID, securing the Food Systems of Asian Mega- Deltas (AMD) for Climate and Livelihood Resilience and the Transforming Agrifood Systems in South Asia (TAFSSA) initiatives in collaboration with Bangladesh Dept. of Agricultural Extension (DAE) and Bangladesh Meteorological Department (BMD).

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CLIMATE SERVICES LIVESTOCK DIGITAL TECHNOLOGY

CIMMYT seed systems Interventions

&

lessons to Pakistan

AbduRahman Issa (2023, [Objeto de congreso])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA SEED SYSTEMS VALUE CHAINS POLICIES HYBRIDS MAIZE WOMEN FARMERS

Formación docente en la Universidad Pedagógica Nacional (UPN): un enfoque para el diseño de una política pública en el marco de la Ley General de Educación Superior

ROSA MARIA TORRES HERNANDEZ (2023, [Tesis de maestría])

https://orcid.org/0000-0002-0740-4265

La publicación de la Ley General de Educación Superior abrió la discusión para replantear la configuración del quehacer de las Instituciones de Educación Superior, sus prioridades y su vinculación social real. En razón de lo anterior la formación del profesorado en educación superior emergió como una prioridad por mandato de ley sin un tejido institucional claro para su problematización y abordaje. Producto de la propia normativa, el Sistema de Evaluación y Acreditación para la Educación Superior estableció elementos para pensar desde una óptica cualitativa y de impacto social; sin embargo, la interrogante que surge es ¿cuál es la situación actual en materia de formación continua del profesorado dentro de las instituciones de educación superior?

Para intentar resolver la interrogante, el presente texto propone una conceptualización de la formación docente, su origen y los retos emergidos tras una crisis sanitaria; así como estrategias para realizar un diagnóstico institucional que visibilice las áreas susceptibles de mejora para una primera intervención. El trabajo es resultado de un acercamiento a la formación docente, desde una perspectiva institucional, en la Universidad Pedagógica Nacional (UPN) y parte de un ejercicio de diálogo entre la investigación acción y la Metodología del Marco Lógico y, a partir de ello, propone una estrategia de política pública para su atención inicial en las Unidades UPN de la Ciudad de México.

Maestro en Administración Pública y Política Pública

HUMANIDADES Y CIENCIAS DE LA CONDUCTA PEDAGOGÍA ORGANIZACIÓN Y PLANIFICACIÓN DE LA EDUCACIÓN FORMACIÓN PROFESIONAL

Women, economic resilience, gender norms in a time of climate change: what do we know?

Cathy Farnworth Anne Rietveld Rachel Voss Angela Meentzen (2023, [Artículo])

This literature delves into 82 research articles, published between 2016 and 2022, to develop a deep understanding of how women manage their lives and livelihoods within their agrifood systems when these systems are being affected, sometimes devastatingly, by climate change. The Findings show that four core gender norms affect the ability of women to achieve economic resilience in the face of climate change operate in agrifood production systems. Each of these gender norms speaks to male privilege: (i) Men are primary decision-makers, (ii) Men are breadwinners, (iii) Men control assets, and (iv) Men are food system actors. These gender norms are widely held and challenge women’s abilities to become economically resilient. These norms are made more powerful still because they fuse with each other and act on multiple levels, and they serve to support other norms which limit women’s scope to act. It is particularly noteworthy that many institutional actors, ranging from community decision-makers to development partners, tend to reinforce rather than challenge gender norms because they do not critically review their own assumptions.

However, the four gender norms cited are not hegemonic. First, there is limited and intriguing evidence that intersectional identities can influence women’s resilience in significant ways. Second, gender norms governing women’s roles and power in agrifood systems are changing in response to climate change and other forces, with implications for how women respond to future climate shocks. Third, paying attention to local realities is important – behaviours do not necessarily substantiate local norms. Fourth, women experience strong support from other women in savings groups, religious organisations, reciprocal labour, and others. Fifth, critical moments, such as climate disasters, offer potentially pivotal moments of change which could permit women unusually high levels of agency to overcome restrictive gender norms without being negatively sanctioned. The article concludes with recommendations for further research.

Economic Resilience Intersectional Identities Women Groups Support CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA ECONOMICS RESILIENCE CLIMATE CHANGE GENDER NORMS AGRIFOOD SYSTEMS WOMEN