Chapter 11. Genomic insights on global journeys of adaptive wheat genes that brought us to modern wheat

deepmala sehgal Laura Dixon Diego Pequeno Jose Crossa Alison Bentley Susanne Dreisigacker (2024, [Capítulo de libro])

Hexaploid Wheat Adaptive Genes Novel Genomic Regions Gene-Based Modeling Process-Based Modeling Global Food Security CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA HEXAPLOIDY WHEAT QUANTITATIVE TRAIT LOCI MODELLING FOOD SECURITY

Analyzing antifragility among smallholder farmers in Bihar, India: An assessment of farmers' vulnerability and the strengths of positive deviants

Roos Adelhart Toorop Santiago Lopez-Ridaura ML JAT Deepak Bijarniya Jeroen Groot (2023, [Artículo])

Farmers around the world are increasingly vulnerable: climate variability is identified as the primary stressor, but unfavorable biophysical circumstances and disturbances in the socioeconomic domain (labor dynamics and price volatility) also affect farm management and production. To deal with these disturbances, adaptations are recognized as essential. Antifragility acknowledges that adaptations and volatility are inherent characteristics of complex systems and abandons the idea of returning to the pre-disturbance system state. Instead, antifragility recognizes that disturbances can trigger reorganization, enabling selection and removal of weaker system features and allowing the system to evolve toward a better state. In this study, we assessed the vulnerability of different types of smallholder farms in Bihar, India, and explored the scope for more antifragile farming systems that can 'bounce back better' after disturbances. Accumulation of stocks, creation of optionality (i.e., having multiple options for innovation) and strengthening of farmer autonomy were identified as criteria for antifragility. We had focus group discussions with in total 92 farmers and found that most expressed themselves to be vulnerable: they experienced challenges but had limited adaptive capacity to change their situation. They mostly made short-term decisions to cope with or mitigate urgent challenges but did not engage in strategic planning driven by longer-term objectives. Instead, they waited for governmental support to improve their livelihoods. Despite being confronted with similar challenges, four positive deviant farmers showed to be more antifragile: their diverse farming systems were abundant in stocks and optionality, and the farmers were distinguished in terms of their autonomy, competence, and connectedness to peers, the community, and markets. To support antifragility among regular farmers, adaptations at policy level may be required, for example, by shifting from a top-down toward a bottom-up adaptation and innovation regime where initiative and cooperation are encouraged. With a more autonomous orientation, farmers' intrinsic motivation is expected to increase, enabling transitions at the farm level. In this way, connected systems can be developed which are socioeconomically and biophysically adaptive. When practices, knowledge, and skills are continuously developed, an antifragile system with ample stocks and optionality may evolve over time.

Autonomy Adaptive Capacity Smallholder Farmers CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA POLICIES SMALLHOLDERS AGRICULTURAL PRACTICES

The spatial control of migrants on the Chihuahua border

EDGAR ABEL CASTRO (2023, [Artículo, Artículo])

This article tries to link the immigration policies of the United States and Mexico with the narrative developed by Michel Foucault. It shows how racism is the axis on which the State of biopower exercises its claims and its effects of power on bodies and on life. Thus, the current political rationality goes through the management of the living body of people, their health, and their spatiality. This principle extends to the homicidal function of the State. Two events that occurred on the Chihuahua border demonstrate this.

migrant control Foucault border racism migrante frontera racismo HUMANIDADES Y CIENCIAS DE LA CONDUCTA HUMANIDADES Y CIENCIAS DE LA CONDUCTA

Control de sistemas usando aprendizaje de máquina

Systems control using machine learning

Jesús Martín Miguel Martínez (2023, [Tesis de maestría])

El aprendizaje por refuerzo es un paradigma del aprendizaje de máquina con un amplio desarrollo y una creciente demanda en aplicaciones que involucran toma de decisiones y control. Es un paradigma que permite el diseño de controladores que no dependen directamente del modelo que describe la dinámica del sistema. Esto es importante ya que en aplicaciones reales es frecuente que no se disponga de dichos modelos de manera precisa. Esta tesis tiene como objetivo implementar un controlador óptimo en tiempo discreto libre de modelo. La metodología elegida se basa en algoritmos de aprendizaje por refuerzo, enfocados en sistemas con espacios de estado y acción continuos a través de modelos discretos. Se utiliza el concepto de función de valor (Q-función y función V ) y la ecuación de Bellman para resolver el problema del regulador cuadrático lineal para un sistema mecánico masa-resorte-amortiguador, en casos donde se tiene conocimiento parcial y desconocimiento total del modelo. Para ambos casos las funciones de valor son definidas explícitamente por la estructura de un aproximador paramétrico, donde el vector de pesos del aproximador es sintonizado a través de un proceso iterativo de estimación de parámetros. Cuando se tiene conocimiento parcial de la dinámica se usa el método de aprendizaje por diferencias temporales en un entrenamiento episódico, que utiliza el esquema de mínimos cuadrados con mínimos cuadrados recursivos en la sintonización del crítico y descenso del gradiente en la sintonización del actor, el mejor resultado para este esquema es usando el algoritmo de iteración de valor para la solución de la ecuación de Bellman, con un resultado significativo en términos de precisión en comparación a los valores óptimos (función DLQR). Cuando se tiene desconocimiento de la dinámica se usa el algoritmo Q-learning en entrenamiento continuo, con el esquema de mínimos cuadrados con mínimos cuadrados recursivos y el esquema de mínimos cuadrados con descenso del gradiente. Ambos esquemas usan el algoritmo de iteración de política para la solución de la ecuación de Bellman, y se obtienen resultados de aproximadamente 0.001 en la medición del error cuadrático medio. Se realiza una prueba de adaptabilidad considerando variaciones que puedan suceder en los parámetros de la planta, siendo el esquema de mínimos cuadrados con mínimos cuadrados recursivos el que tiene los mejores resultados, reduciendo significativamente ...

Reinforcement learning is a machine learning paradigm with extensive development and growing demand in decision-making and control applications. This technique allows the design of controllers that do not directly depend on the model describing the system dynamics. It is useful in real-world applications, where accurate models are often unavailable. The objective of this work is to implement a modelfree discrete-time optimal controller. Through discrete models, we implemented reinforcement learning algorithms focused on systems with continuous state and action spaces. The concepts of value-function, Q-function, V -function, and the Bellman equation are employed to solve the linear quadratic regulator problem for a mass-spring-damper system in a partially known and utterly unknown model. For both cases, the value functions are explicitly defined by a parametric approximator’s structure, where the weight vector is tuned through an iterative parameter estimation process. When partial knowledge of the dynamics is available, the temporal difference learning method is used under episodic training, utilizing the least squares with a recursive least squares scheme for tuning the critic and gradient descent for the actor´s tuning. The best result for this scheme is achieved using the value iteration algorithm for solving the Bellman equation, yielding significant improvements in approximating the optimal values (DLQR function). When the dynamics are entirely unknown, the Q-learning algorithm is employed in continuous training, employing the least squares with recursive least squares and the gradient descent schemes. Both schemes use the policy iteration algorithm to solve the Bellman equation, and the system’s response using the obtained values was compared to the one using the theoretical optimal values, yielding approximately zero mean squared error between them. An adaptability test is conducted considering variations that may occur in plant parameters, with the least squares with recursive least squares scheme yielding the best results, significantly reducing the number of iterations required for convergence to optimal values.

aprendizaje por refuerzo, control óptimo, control adaptativo, sistemas mecánicos, libre de modelo, dinámica totalmente desconocida, aproximación paramétrica, Q-learning, iteración de política reinforcement learning, optimal control, adaptive control, mechanical systems, modelfree, utterly unknown dynamics, parametric approximation, Q-learning, policy iteration INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ORDENADORES INTELIGENCIA ARTIFICIAL INTELIGENCIA ARTIFICIAL

Manual para la cría masiva de Neochetina spp utilizado en el control biológico de lirio acuático

MARICELA MARTINEZ JIMENEZ (2005, [Libro])

Tabla de contenido: Introducción -- Antecedentes: definición de control biológico; Control biológico de lirio acuático; Ciclo biológico y características del género Neochetina; Especificidad del género Neochetina; Principales patógenos del género Neochetina; Cuarentena de insectos para el control biológico de malezas acuáticas; Cría masiva de insectos -- Metodología: cría masina de Neochetina; Liberación de Neochetina; Monitoreo -- Literatura citada -- Anexo fotográfico.

Se describen las bases para el control biológico del lirio acuático, así como una metodología para la cría masiva de dos especies de gorgojos: Neochetina eichhorniae y Neochetina bruchi, utilizados en el control biológico de esta maleza.

Introducción -- Antecedentes: definición de control biológico; Control biológico de lirio acuático; Ciclo biológico y características del género Neochetina; Especificidad del género Neochetina; Principales patógenos del género Neochetina; Cuarentena de insectos para el control biológico de malezas acuáticas; Cría masiva de insectos -- Metodología: cría masina de Neochetina; Liberación de Neochetina; Monitoreo -- Literatura citada -- Anexo fotográfico.

Malezas acuáticas Control biológico BIOLOGÍA Y QUÍMICA

Propaganda against Mexican women married to Chinese immigrants in Chihuahua 1920-1940

Vladimir Alejandro Armendáriz Romero Jesús Adolfo Trujillo Holguín (2023, [Artículo, Artículo])

At the turn of the 20th century and at the beginning of the new revolutionary government stage in Mexico, the press was an effective way to disseminate propaganda for the nationalist ideology of the State. An important part of this diffusion covered the question of the racial constitution of the mexicans, which led to the need to convince the public that it was important to determine controls over women and with whom they married since they were responsible for the reproduction of the Mexican race. Therefore, a mixture of races considered undesirable, such as the Chinese, was detestable. This propaganda occurred in the context of national anti-Chinese and anti-Jewish campaigns in which they wanted to expel these foreigners on the pretext that their presence and mixing with them would result in degeneration. In Chihuahua there are indications of this propaganda, but also that women married to Chinese resisted this campaign against their families.

Racism gender social control mestizophobia propaganda Racismo género control social mestizofobia HUMANIDADES Y CIENCIAS DE LA CONDUCTA HUMANIDADES Y CIENCIAS DE LA CONDUCTA

Editorial: Genome wide association studies and genomic selection for crop improvement in the era of Big Data

Alison Bentley Charles Chen Nunzio D'Agostino (2022, [Artículo])

Allele Mining High-Throughput Phenotyping Genomic Estimated Breeding Value CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CROP IMPROVEMENT DNA CHROMOSOME MAPPING GENETIC LINKAGE GENOMES GENOTYPING GERMINATION HEAT STRESS QUALITY CONTROL SINGLE NUCLEOTIDE POLYMORPHISM TRITICUM AESTIVUM GENETIC DIVERSITY (AS RESOURCE) HIGH-THROUGHPUT SEQUENCING

Hymenopteran parasitoid complex and fall armyworm: a case study in eastern India

Tapamay Dhar PRATEEK MADHAB BHATTACHARYA Mahesh Gathala Alison Laing (2024, [Artículo])

Fall armyworm (FAW), Spodoptera frugiperda (J.E. Smith) has significantly affected maize crop yields, production efficiency, and farmers’ incomes in the Indian Eastern Gangetic Plains region since it was first observed in India in 2018. A lack of awareness by maize growers of the appropriate selection, method, and timing of insecticide application not only creates a barrier to sustainable FAW control but also contributes to increased environmental pollution, reduced human health and increased production costs. We demonstrated that FAW inflicted the most damage in early whorl growth stage of maize, regardless of whether chemical insecticides were applied. FAW egg masses and larvae collected from maize fields in which no insecticides had been sprayed showed high parasitism rates by parasitoid wasps; in contrast fields that had been sprayed had much lower rates of parasitism on FAW. Ten hymenopteran parasitoids were observed in maize fields across the study region, suggesting a diversity of natural methods to suppress FAW in maize at different growth stages. These included two FAW egg parasitoids and eight FAW larval parasitoids. Microplitis manilae Ashmead was the most abundant FAW larval parasitoid species, and Telenomus cf. remus was the dominant FAW egg parasitoid species. Endemic FAW parasitoids such as those observed in this study have great potential as part of a sustainable, cost-effective agroecological management strategy, which can be integrated with other methods to achieve effective control of FAW.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA FALL ARMYWORMS MAIZE INSECTICIDES INSECT CONTROL

Control biológico del lirio acuático en México: primera experiencia exitosa con neoquetinos en distritos de riego: volumen I: distrito de riego 010 Culiacán-Humaya, Sinaloa, distrito de riego 074 Mocorito, Sinaloa, distrito de riego 018 colonias Yaquis, Sonora

OVIDIO CAMARENA MEDRANO (2013, [Libro])

Los objetivos de esta investigación han sido: documentar las experiencias en el control biológico del lirio acuático en la infraestructura de riego en seis distritos de riego de México; dejar constancia de la eficacia y eficiencia de los neoquetinos como agentes de control biológico del lirio; demostrar la factibilidad de mantener sin problema de lirio, en forma permanente, cualquier cuerpo de agua del país mediante estre control biológico; y sensibilizar a las autoridades, técnicos y productores sobre las bondades del control biológico del lirio acuático en nuestro país, principalmente en los distritos de riego.

Lirio acuático Distritos de riego Control biológico Sinaloa Sonora CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Trade-offs in the genetic control of functional and nutritional quality traits in UK winter wheat

Nick Fradgley Keith Gardner Stéphanie M. Swarbreck Alison Bentley (2022, [Artículo])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA WHEAT GENETIC CONTROL NUTRITIVE VALUE QUANTITATIVE TRAIT LOCI