Control biológico de plantas acuáticas exóticas invasoras

MARICELA MARTINEZ JIMENEZ (2014, [Capítulo de libro])

Las plantas acuáticas exóticas invasoras son la principal causa de grandes pérdidas de agua en todos los cuerpos de agua de México y del mundo. Los métodos de control que se han utilizado hasta hoy, además de no haber resuelto el problema, han contribuido al deterioro ambiental. El presente escrito describe el impacto económico y social de estas especies y plantea una metodología que puede asegurar un control eficaz y sustentable.

Especies invasoras Control de malezas Control biológico México BIOLOGÍA Y QUÍMICA

Manual para la cría masiva de Cyrtobagous salviniae utilizado en el control biológico de Salvinia molesta

MARICELA MARTINEZ JIMENEZ (2005, [Libro])

Este manual describe el proceso de cuarentena y cría masiva de Cyrtobagous Salviniae, para su uso en el control biológico integral de Salvinia molesta, considerado, después del lirio acuático, una de las principales malezas acuáticas del mundo.

Maleza acuática Contaminación del agua Control de malezas Control biológico BIOLOGÍA Y QUÍMICA

Efficacy of pre- and post-emergence herbicide combinations on weed control in no-till mechanically transplanted rice

PRATEEK MADHAB BHATTACHARYA Apurba Chowdhury Tapamay Dhar Md. Saiful Islam Alison Laing Mahesh Gathala (2022, [Artículo])

Mechanized Transplanted Rice Weed Biomass Weed Density Weed Control Efficiency CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA HERBICIDES WEED CONTROL RICE ZERO TILLAGE MECHANIZATION

Big data, small explanatory and predictive power: Lessons from random forest modeling of on-farm yield variability and implications for data-driven agronomy

Martin van Ittersum (2023, [Artículo])

Context: Collection and analysis of large volumes of on-farm production data are widely seen as key to understanding yield variability among farmers and improving resource-use efficiency. Objective: The aim of this study was to assess the performance of statistical and machine learning methods to explain and predict crop yield across thousands of farmers’ fields in contrasting farming systems worldwide. Methods: A large database of 10,940 field-year combinations from three countries in different stages of agricultural intensification was analyzed. Random effects models were used to partition crop yield variability and random forest models were used to explain and predict crop yield within a cross-validation scheme with data re-sampling over space and time. Results: Yield variability in relative terms was smallest for wheat and barley in the Netherlands and for wheat in Ethiopia, intermediate for rice in the Philippines, and greatest for maize in Ethiopia. Random forest models comprising a total of 87 variables explained a maximum of 65 % of cereal yield variability in the Netherlands and less than 45 % of cereal yield variability in Ethiopia and in the Philippines. Crop management related variables were important to explain and predict cereal yields in Ethiopia, while predictive (i.e., known before the growing season) climatic variables and explanatory (i.e., known during or after the growing season) climatic variables were most important to explain and predict cereal yield variability in the Philippines and in the Netherlands, respectively. Finally, model cross-validation for regions or years not seen during model training reduced the R2 considerably for most crop x country combinations, while for wheat in the Netherlands this was model dependent. Conclusion: Big data from farmers’ fields is useful to explain on-farm yield variability to some extent, but not to predict it across time and space. Significance: The results call for moderate expectations towards big data and machine learning in agronomic studies, particularly for smallholder farms in the tropics where model performance was poorest independently of the variables considered and the cross-validation scheme used.

Model Accuracy Model Precision Linear Mixed Models CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MACHINE LEARNING SUSTAINABLE INTENSIFICATION BIG DATA YIELDS MODELS AGRONOMY

Investigation of the impact of Arundo donax in Mexico and evaluation of candidate biological control agents

MARICELA MARTINEZ JIMENEZ (2018, [Documento de trabajo])

The arrival and spread of non-native species into new environments is a serious threat to ecosystems, that is the case of Arundo donax L. (Poaceae Arundinoideae), a perennial grass native to the western Mediterranean to India. Arundo donax was introduced to North America from the Iberian Peninsula within the last 500 years and is now a widespread and invasive weed in the Rio Grande Basin, (the border line between Mexico and the United States) and in almost all the basins in Mexico. This plant is extremely invasive and damaging, affecting especially water supplies. In many parts of Mexico, precipitation and inflows periodically decline and result in a drought, for this reason water conservation programs have to consider the inclusion of control programs of this plant. In Mexico, A. donax is managed by cutting the stems, which is ineffective because of prolific asexual reproduction from an extensive rhizome system, and by using herbicides. However, evidence of serious harm to health and the environment of chemical control indicates that the herbicides are not desirable for it use in shorelines of water bodies where Arundo's infestations are established.

Especies invasoras Impacto ambiental Control de malezas Control biológico 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

El IMTA y el control biológico de maleza acuática en distritos de riego del país (experiencias desde 1990)

OVIDIO CAMARENA MEDRANO (2012, [Libro])

Este trabajo pretende dejar constancia de la trayectoria del Programa de Control de Maleza Acuática y de sus logros, además de plantear la necesidad de que las propuestas se consideren en la política nacional de manejo de maleza acuática, para obtener un mejor aprovechamiento de los recursos agua y suelo en los distritos de riego.

Control de maleza Malezas acuáticas Distritos de riego Control biológico INGENIERÍA Y TECNOLOGÍA

Normalización y certificación en el sector hídrico de México

MARCO ANTONIO TOLEDO GUTIERREZ Armando Mendiola Mayra Pérez de la Cruz (2010, [Documento de trabajo])

El informe hace referencia a los documentos desarrollados y las reuniones de trabajo en diversas regiones del país, las cuales tuvieron como objetivo comprender la importancia, marco normativo y avances en el proceso de normalización y certificación de productos y servicios con base en normas NMX.

Control de calidad Certificación Informes de proyectos HUMANIDADES Y CIENCIAS DE LA CONDUCTA

Estudio experimental con modelos físicos para generación de criterios de peligro por inundación y para caracterización de efectos del arrastre de sólidos sobre estructuras de cruce en ríos de zonas urbanas

JUAN ANTONIO LOPEZ OROZCO MANUEL MARTINEZ MORALES Cecia Millán-Barrera (2015, [Documento de trabajo])

El objetivo de este estudio es generar nomogramas de vulnerabilidad por inundaciones, aplicado a peatones, para la construcción de mapas de peligro integrales que consideren tirante máximo, velocidad máxima, estabilidad al vuelco y estabilidad al deslizamiento. De igual manera, se evalúan los efectos del flujo en el peatón en un módulo de una calle a escala real (1:1) variando los parámetros.

Ríos Control de inundaciones Simulación Zonas urbanas INGENIERÍA Y TECNOLOGÍA

Diversidad de árboles, aves y la regulación de los ecosistemas

LUIS ALEJANDRO ABDALA ROBERTS (2023, [Artículo])

La diversidad de especies de árboles medida, por ejemplo, como el número de especies que cohabitan un sitio dado, afecta a animales que hacen uso de los bosques y la manera en que estos interactúan con plantas y otros animales. Estudios han encontrado que un aumento en la diversidad arbórea, favorece la abundancia y diversidad de depredadores como, por ejemplo, aves insectívoras, lo cual resulta en mayores niveles de depredación por estas sobre insectos herbívoros y consecuentes beneficios a las plantas y al ecosistema en su conjunto.

BIODIVERSIDAD CONTROL DE PLAGAS DEPREDADOR ECOLOGIA DE INTERACCIONES INSECTIVORO BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOLOGÍA VEGETAL (BOTÁNICA) ECOLOGÍA VEGETAL ECOLOGÍA VEGETAL