En este protocolo se presentan en detalle los materiales necesarios y el procedimiento a seguir que permitirá cuantificar las emisiones de CH4 entérico en rumiantes según la mencionada adaptación de la técnica original basada en la utilización de SF6. Se incluyen, además, las ecuaciones que permiten calcular la emisión diaria de CH4 de cada animal. CONTENIDO: 1. Descripción general de la Técnica SF6 -- 2. Materiales necesarios para cada animal -- 3. Instalaciones, equipos y materiales de laboratorio -- 4. Procedimiento -- 5. Cálculo de la emisión de CH4 -- 6. Proveedores Sugeridos -- 7.

En este protocolo se presentan en detalle los materiales necesarios y el procedimiento a seguir que permitirá cuantificar las emisiones de CH4 entérico en rumiantes según la mencionada adaptación de la técnica original basada en la utilización de SF6. Se incluyen, además, las ecuaciones que permiten calcular la emisión diaria de CH4 de cada animal. CONTENIDO:1. Descripción general de la Técnica SF6 -- 2. Materiales necesarios para cada animal -- 3. Instalaciones, equipos y materiales de laboratorio -- 4. Procedimiento -- 5. Cálculo de la emisión de CH4 -- 6. Proveedores Sugeridos -- 7.

ABSTRACT.- Achieving food security requires resilient agricultural systems with improved nutrient-use efficiency, optimized water and nutrient storage in soils, and reduced gaseous emissions. Success relies on understanding coupled nitrogen and carbon metabolism in soils, their associated influences on soil structure and the processes controlling nitrogen transformations at scales relevant to microbial activity. Here we show that the influence of organic matter on arable soil nitrogen transformations can be decoded by integrating metagenomic data with soil structural parameters.

Enteric methane (CH4) emissions from sheep contribute to global greenhouse gas emissions from livestock. However, as already available for dairy and beef cattle, empirical models are needed to predict CH4 emissions from sheep for accounting purposes.

Wheat is the most widely grown food crop, with 761 Mt produced globally in 2020. To meet the expected grain demand by mid-century, wheat breeding strategies must continue to improve upon yield-advancing physiological traits, regardless of climate change impacts. Here, the best performing doubled haploid (DH) crosses with an increased canopy photosynthesis from wheat field experiments in the literature were extrapolated to the global scale with a multi-model ensemble of process-based wheat crop models to estimate global wheat production.

Context:Average sward height has traditionally been used as a grazing management variable. However, such approach ignores the spatio-temporal heterogeneity of swards. Because the intake rate responds non-linearly to average height at plant level, we expected that sheep exposed to contrasting grazing methods with similar average heights would behave differently. Conclusions:Intake responses of sheep differed between grazing methods with similar average height due to sward heterogeneity over time and space.

ABSTRACT.- Methods for accurately estimating within-field yield are essential to improve site-specific crop management and resource use efficiencies, which would be a major step toward sustainable intensification of agricultural systems. We set out to assess the accuracy of within-field soybean yields predicted by two data assimilation methods and to assess these methods? assimilation efficiency (AE). Yields were estimated by assimilating remotely sensed leaf area index (LAI) data from Sentinel-2 into a soybean crop growth model on a pixel basis.