Adaptation to current and future climatic risks in agriculture: Maharashtra, India

Paresh Shirsath Anil Pimpale Pramod Aggarwal (2022, [Libro])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA RISK CLIMATE RESILIENCE AGRICULTURE CLIMATE CHANGE ADAPTATION

Genotype by Environment Interaction (GEI) of maize varieties resistant to maize lethal necrosis for Mid Altutides of Rwanda

Claver Ngaboyisonga Suresh L.M. (2022, [Artículo])

Additive Main Effect and Multiplicative Interaction Area Under Disease Progress Curve Maize Lethal Necrosis Variety x Environment Interaction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE CHLOROTIC MOTTLE VIRUS RESISTANCE VARIETIES INOCULATION DISEASE MANAGEMENT SUGARCANE MOSAIC VIRUS

Review of Nationally Determined Contributions (NCD) of Kenya from the perspective of food systems

Tek Sapkota (2023, [Documento de trabajo])

Agriculture is one of the fundamental pillars of the 2022–2027 Bottom-up Economic Transformation Plan of the Government of Kenya for tackling complex domestic and global challenges. Kenya's food system is crucial for climate change mitigation and adaptation. Kenya has prioritized aspects of agriculture, food, and land use as critical sectors for reducing emissions towards achieving Vision 2030's transformation to a low-carbon, climate-resilient development pathway. Kenya's updated NDC, as well as supporting mitigation and adaptation technical analysis reports and other policy documents, has identified an ambitious set of agroecological transformative measures to promote climate-smart agriculture, regenerative approaches, and nature-positive solutions. Kenya is committed to implementing and updating its National Climate Change Action Plans (NCCAPs) to present and achieve the greenhouse gas (GHG) emission reduction targets and resilience outcomes that it has identified.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CLIMATE CHANGE GREENHOUSE GAS EMISSIONS FOOD SYSTEMS LAND USE CHANGE AGRICULTURE POLICIES DATA ANALYSIS FOOD WASTES

Control de malezas acuáticas en México

MARICELA MARTINEZ JIMENEZ MARIA DEL PILAR SALDAÑA FABELA ERIC DANIEL GUTIERREZ LOPEZ (2003, [Artículo])

Las malezas acuáticas continúan constituyendo un problema en el país, por lo que los intentos realizados para su combate, ya sea en forma manual, mecánica o química, sólo han tenido resultados temporales a un costo elevado, pues las semillas de la flor que se depositan en los sedimentos son la fuente de futuras re-infestaciones. En este sentido, el Instituto Mexicano de Tecnología del Agua (IMTA) ha investigado soluciones sustentables y con menos impacto al medio ambiente, encontrando que el uso de agentes biológicos podría constituir una solución al problema. El artículo detalla la experiencia del IMTA en el uso de artrópodos y hongos específicos para su desarrollo como bioherbicidas para controlar el crecimiento del lirio acuático.

Malezas acuáticas Control de malezas Control biológico Bioherbicidas BIOLOGÍA Y QUÍMICA

Weed management and tillage effect on rainfed maize production in three agro-ecologies in Mexico

Simon Fonteyne Abel Jaime Leal González Rausel Ovando Ravi Gopal Singh Nele Verhulst (2022, [Artículo])

Maize (Zea mays L.) is grown in a wide range of agro-ecological environments and production systems across Mexico. Weeds are a major constraint on maize grain yield, but knowledge regarding the best weed management methods is lacking. In many production systems, reducing tillage could lessen land degradation and production costs, but changes in tillage might require changes in weed management. This study evaluated weed dynamics and rainfed maize yield under five weed management treatments (pre-emergence herbicide, post-emergence herbicide, pre-emergence + post-emergence herbicide, manual weed control, and no control) and three tillage methods (conventional, minimum and zero tillage) in three agro-ecologically distinct regions of the state of Oaxaca, Mexico, in 2016 and 2017. In the temperate Mixteca region, weeds reduced maize grain yields by as much as 92% and the long-growing season required post-emergence weed control, which gave significantly higher yields. In the hot, humid Papaloapan region, weeds reduced maize yields up to 63% and pre-emergence weed control resulted in significantly higher yields than treatments with post-emergence control only. In the semi-arid Valles Centrales region, weeds reduced maize yields by as much as 65%, but weed management was not always effective in increasing maize yield or net profitability. The most effective weed management treatments tended to be similar for the three tillage systems at each site, although weed pressure and the potential yield reduction by weeds tended to be higher under zero tillage than minimum or conventional tillage. No single best option for weed management was found across sites or tillage systems. More research, in which non-chemical methods should not be overlooked, is thus needed to determine the most effective weed management methods for the diverse maize production systems across Mexico.

Corn Integrated Weed Management Manual Weed Control CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE WEED CONTROL MINIMUM TILLAGE ZERO TILLAGE

Review of Nationally Determined Contributions (NCD) of China from the perspective of food systems

Tek Sapkota (2023, [Documento de trabajo])

China is the largest emitter of greenhouse gases (GHG) and one of the countries most affected by climate change. China's food systems are a major contributor to climate change: in 2018, China's food systems emitted 1.09 billion tons of carbondioxide equivalent (CO2eq) GHGs, accounting for 8.2% of total national GHG emissions and 2% of global emissions. According to the Third National Communication (TNC) Report, in 2010, GHG emissions from energy, industrial processes, agriculture, and waste accounted for 78.6%, 12.3%, 7.9%, and 1.2% of total emissions, respectively, (excluding emissions from land use, land-use change and forestry (LULUCF). Total GHG emissions from the waste sector in 2010 were 132 Mt CO2 eq, with municipal solid waste landfills accounting for 56 Mt. The average temperature in China has risen by 1.1°C over the last century (1908–2007), while nationally averaged precipitation amounts have increased significantly over the last 50 years. The sea level and sea surface temperature have risen by 90 mm and 0.9°C respectively in the last 30 years. A regional climate model predicted an annual mean temperature increase of 1.3–2.1°C by 2020 (2.3–3.3°C by 2050), while another model predicted a 1–1.6°C temperature increase and a 3.3–3.7 percent increase in precipitation between 2011 and 2020, depending on the emissions scenario. By 2030, sea level rise along coastal areas could be 0.01–0.16 meters, increasing the likelihood of flooding and intensified storm surges and causing the degradation of wetlands, mangroves, and coral reefs. Addressing climate change is a common human cause, and China places a high value on combating climate change. Climate change has been incorporated into national economic and social development plans, with equal emphasis on mitigation and adaptation to climate change, including an updated Nationally Determined Contribution (NDC) in 2021. The following overarching targets are included in China's updated NDC: • Peaking carbon dioxide emissions “before 2030” and achieving carbon neutrality before 2060. • Lowering carbon intensity by “over 65%” by 2030 from the 2005 level. • Increasing forest stock volume by around 6 billion cubic meters in 2030 from the 2005 level. The targets have come from several commitments made at various events, while China has explained very well the process adopted to produce its third national communication report. An examination of China's NDC reveals that it has failed to establish quantifiable and measurable targets in the agricultural sectors. According to the analysis of the breakdown of food systems and their inclusion in the NDC, the majority of food system activities are poorly mentioned. China's interventions or ambitions in this sector have received very little attention. The adaptation component is mentioned in the NDC, but is not found to be sector-specific or comprehensive. A few studies have rated the Chinese NDC as insufficient, one of the reasons being its failure to list the breakdown of each sector's clear pathway to achieving its goals. China's NDC lacks quantified data on food system sub-sectors. Climate Action Trackers' "Insufficient" rating indicates that China's domestic target for 2030 requires significant improvements to be consistent with the Paris Agreement's target of 1.5°C temperature limit. Some efforts are being made: for example, scientists from the Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences (IEDA-CAAS) have developed methods for calculating GHG emissions from livestock and poultry farmers that have been published as an industrial standard by the Ministry of Agriculture and Rural Affairs, PRC (Prof Hongmin Dong, personal communication) but this still needs to be consolidated and linked to China’s NDC. The updated Nationally Determined Contributions fall short of quantifiable targets in agriculture and food systems as a whole, necessitating clear pathways. China's NDC is found to be heavily focused on a few sectors, including energy, transportation, and urban-rural development. The agricultural sectors' and food systems' targets are vague, and China's agrifood system has a large carbon footprint. As a result, China should focus on managing the food system (production, processing, transportation, and food waste management) to reduce carbon emissions. Furthermore, China should take additional measures to make its climate actions more comprehensive, quantifiable, and measurable, such as setting ambitious and clear targets for the agriculture sector, including activity-specific GHG-reduction pathways; prioritizing food waste and loss reduction and management; promoting sustainable livestock production and low carbon diets; reducing chemical pollution; minimizing the use of fossil fuel in the agri-system and focusing on developing green jobs, technological advancement and promoting climate-smart agriculture; promoting indigenous practices and locally led adaptation; restoring degraded agricultural soils and enhancing cooperation and private partnership. China should also prepare detailed NDC implementation plans including actions and the GHG reduction from conditional targets.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GREENHOUSE GAS EMISSIONS CLIMATE CHANGE FOOD SYSTEMS LAND USE CHANGE AGRICULTURE POLICIES DATA ANALYSIS FOOD WASTES

Sistema para la prevención de riesgos hidrológicos en la costa de Chiapas

PEDRO RIVERA RUIZ HECTOR GREGORIO CORTES TORRES (2008, [Documento de trabajo])

Este proyecto tiene por objeto generar recomendaciones para el uso y manejo de laderas y su estabilización, con el fin de minimizar los riesgos a la población e infraestructura productiva, ante la ocurrencia de fenómenos hidrometeorológicos extremos.

Factores meteorológicos Planificación en desastres Usos del suelo Informes de proyectos Chiapas CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Modelos Hargreaves Priestley-Taylor y redes neuronales artificiales en la estimación de la evapotranspiración de referencia

Reference evapotranspiration estimation by Hargreaves Priestley-Taylor and artificial neural networks models

ROCIO CERVANTES OSORNIO RAMON ARTEAGA RAMIREZ MARIO ALBERTO VAZQUEZ PEÑA WALDO OJEDA BUSTAMANTE ABEL QUEVEDO NOLASCO (2012, [Artículo])

Resulta costoso medir directamente la evapotranspiración de referencia (ET0) con un lisímetro, y al no contar con esta información se utilizó el método de Penman-Monteith modificado por la FAO (ET0 FAO-56 P-M) para su cálculo. El objetivo del presente trabajo fue realizar una comparación de modelos empíricos como el de Hargreaves, Hargreaves calibrado y Priestley-Taylor, con el modelo de redes neuronales artificiales función de base radial (RNA BR), con las mismas variables de entrada, en la estimación de la ET0 FAO-56 P-M. Las estimaciones de ET0 se evaluaron en cuatro estaciones climáticas del Distrito 075, Valle del Fuerte en Sinaloa, México.

Cultivos alimenticios Planificación del riego Evapotranspiración Modelos matemáticos INGENIERÍA Y TECNOLOGÍA

Diseño y activismo artístico

Olivia Fragoso-Susunaga (2023, [Capítulo de libro])

En el 2015, las Naciones Unidas proponen una serie de objetivos dirigidos a convocar a los habitantes del mundo a realizar acciones orientadas a acabar con la pobreza, mejorar las condiciones del planeta y lograr que, para el 2030, todas las personas puedan gozar de paz y bienestar. A estos objetivos se les conoce como los Objetivos de Desarrollo Sostenible (ODS). La educación superior juega un papel fundamental en el logro de los ODS. La UAM y, en el caso que nos compete, el CyAD están llamados a colaborar en esta tarea que nos involucra a todos y todas quienes formamos la comunidad universitaria. Este trabajo es una reflexión sobre la importancia que tiene la formación en activismo artístico en la educación del diseño para el logro de los ODS. Se propone que enfatizar el vínculo entre el diseño y el activismo artístico es parte de un escenario futuro indiscutiblemente necesario en el currículo de licenciatura en el CyAD.

In 2015, the United Nations proposed a series of goals aimed at calling on the world’s inhabitants to take action to end poverty, improve the conditions of the planet and ensure that by 2030 all people can enjoy peace and well-being. These goals are known as the Sustainable Development Goals (SDGs). Higher education plays a fundamental role in the achievement of the SDGs, the UAM and, in the case that concerns us, the CyAD are called to collaborate in this task that involves all of us who form the university community. This work is a reflection on the importance of training in artistic activism in design education for the achievement of the SDGs. It is proposed that emphasizing the link between design and art activism is part of an indisputably necessary future scenario in the undergraduate curriculum at CyAD.

Activismo artístico, educación del diseño, cultura. Artistic activism, design education, culture. Sustainable Development Goals. Art and social action. Education, Higher--Social aspects. Educational change. Artists--Political activity. Universidad Autónoma Metropolitana. Unidad Azcapotzalco. División de Ciencias y Artes para el Diseño. Desarrollo sustentable. Participación social. Cambio educativo. NX180.P64 HUMANIDADES Y CIENCIAS DE LA CONDUCTA CIENCIAS DE LAS ARTES Y LAS LETRAS

Using an incomplete block design to allocate lines to environments improves sparse genome-based prediction in plant breeding

Osval Antonio Montesinos-Lopez ABELARDO MONTESINOS LOPEZ RICARDO ACOSTA DIAZ Rajeev Varshney Jose Crossa ALISON BENTLEY (2022, [Artículo])

Genomic selection (GS) is a predictive methodology that trains statistical machine-learning models with a reference population that is used to perform genome-enabled predictions of new lines. In plant breeding, it has the potential to increase the speed and reduce the cost of selection. However, to optimize resources, sparse testing methods have been proposed. A common approach is to guarantee a proportion of nonoverlapping and overlapping lines allocated randomly in locations, that is, lines appearing in some locations but not in all. In this study we propose using incomplete block designs (IBD), principally, for the allocation of lines to locations in such a way that not all lines are observed in all locations. We compare this allocation with a random allocation of lines to locations guaranteeing that the lines are allocated to

the same number of locations as under the IBD design. We implemented this benchmarking on several crop data sets under the Bayesian genomic best linear unbiased predictor (GBLUP) model, finding that allocation under the principle of IBD outperformed random allocation by between 1.4% and 26.5% across locations, traits, and data sets in terms of mean square error. Although a wide range of performance improvements were observed, our results provide evidence that using IBD for the allocation of lines to locations can help improve predictive performance compared with random allocation. This has the potential to be applied to large-scale plant breeding programs.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA Bayes Theorem Genome Inflammatory Bowel Diseases Models, Genetic Plant Breeding