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Transmission, localization, and infectivity of seedborne maize chlorotic mottle virus
Suresh L.M. Pierce Paul Margaret Redinbaugh (2023, [Artículo])
Maize Lethal Necrosis Transmission Mechanisms CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE VIROSES SEEDS INOCULATION DISEASE MANAGEMENT
Manish Kakraliya madhu choudhary Mahesh Gathala Parbodh Chander Sharma ML JAT (2024, [Artículo])
The future of South Asia’s major production system (rice–wheat rotation) is at stake due to continuously aggravating pressure on groundwater aquifers and other natural resources which will further intensify with climate change. Traditional practices, conventional tillage (CT) residue burning, and indiscriminate use of groundwater with flood irrigation are the major drivers of the non-sustainability of rice–wheat (RW) system in northwest (NW) India. For designing sustainable practices in intensive cereal systems, we conducted a study on bundled practices (zero tillage, residue mulch, precise irrigation, and mung bean integration) based on multi-indicator (system productivity, profitability, and efficiency of water, nitrogen, and energy) analysis in RW system. The study showed that bundling conservation agriculture (CA) practices with subsurface drip irrigation (SDI) saved ~70 and 45% (3-year mean) of irrigation water in rice and wheat, respectively, compared to farmers’ practice/CT practice (pooled data of Sc1 and Sc2; 1,035 and 318 mm ha−1). On a 3-year system basis, CA with SDI scenarios (mean of Sc5–Sc8) saved 35.4% irrigation water under RW systems compared to their respective CA with flood irrigation (FI) scenarios (mean of Sc3 and Sc4) during the investigation irrespective of residue management. CA with FI system increased the water productivity (WPi) and its use efficiency (WUE) by ~52 and 12.3% (3-year mean), whereas SDI improved by 221.2 and 39.2% compared to farmers practice (Sc1; 0.69 kg grain m−3 and 21.39 kg grain ha−1 cm−1), respectively. Based on the 3-year mean, CA with SDI (mean of Sc5–Sc8) recorded −2.5% rice yield, whereas wheat yield was +25% compared to farmers practice (Sc1; 5.44 and 3.79 Mg ha−1) and rice and wheat yield under CA with flood irrigation were increased by +7 and + 11%, compared to their respective CT practices. Mung bean integration in Sc7 and Sc8 contributed to ~26% in crop productivity and profitability compared to farmers’ practice (Sc1) as SDI facilitated advancing the sowing time by 1 week. On a system basis, CA with SDI improved energy use efficiency (EUE) by ~70% and partial factor productivity of N by 18.4% compared to CT practices. In the RW system of NW India, CA with SDI for precise water and N management proved to be a profitable solution to address the problems of groundwater, residue burning, sustainable intensification, and input (water and energy) use with the potential for replication in large areas in NW India.
Direct Seeded Rice Subsurface Drip Irrigation Economic Profitability Energy and Nitrogen Efficiency CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CONSERVATION AGRICULTURE RICE SUBSURFACE IRRIGATION IRRIGATION SYSTEMS WATER PRODUCTIVITY ECONOMIC VIABILITY ENERGY EFFICIENCY NITROGEN-USE EFFICIENCY
João Vasco Silva Pytrik Reidsma (2024, [Artículo])
Nitrogen (N) management is essential to ensure crop growth and to balance production, economic, and environmental objectives from farm to regional levels. This study aimed to extend the WOFOST crop model with N limited production and use the model to explore options for sustainable N management for winter wheat in the Netherlands. The extensions consisted of the simulation of crop and soil N processes, stress responses to N deficiencies, and the maximum gross CO2 assimilation rate being computed from the leaf N concentration. A new soil N module, abbreviated as SNOMIN (Soil Nitrogen for Organic and Mineral Nitrogen module) was developed. The model was calibrated and evaluated against field data. The model reproduced the measured grain dry matter in all treatments in both the calibration and evaluation data sets with a RMSE of 1.2 Mg ha−1 and the measured aboveground N uptake with a RMSE of 39 kg N ha−1. Subsequently, the model was applied in a scenario analysis exploring different pathways for sustainable N use on farmers' wheat fields in the Netherlands. Farmers' reported yield and N fertilization management practices were obtained for 141 fields in Flevoland between 2015 and 2017, representing the baseline. Actual N input and N output (amount of N in grains at harvest) were estimated for each field from these data. Water and N-limited yields and N outputs were simulated for these fields to estimate the maximum attainable yield and N output under the reported N management. The investigated scenarios included (1) closing efficiency yield gaps, (2) adjusting N input to the minimum level possible without incurring yield losses, and (3) achieving 90% of the simulated water-limited yield. Scenarios 2 and 3 were devised to allow for soil N mining (2a and 3a) and to not allow for soil N mining (2b and 3b). The results of the scenario analysis show that the largest N surplus reductions without soil N mining, relative to the baseline, can be obtained in scenario 1, with an average of 75%. Accepting negative N surpluses (while maintaining yield) would allow maximum N input reductions of 84 kg N ha−1 (39%) on average (scenario 2a). However, the adjustment in N input for these pathways, and the resulting N surplus, varied strongly across fields, with some fields requiring greater N input than used by farmers.
Crop Growth Models WOFOST CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CROPS NITROGEN-USE EFFICIENCY WINTER WHEAT SOIL WATER
HECTOR SANVICENTE SANCHEZ YOLANDA SOLIS ALVARADO MANUEL MARTÍNEZ MORALES (2020, [Documento de trabajo])
TH1720.5
El objetivo general del proyecto ha sido desarrollar un modelo hidrológico y de gestión de simulación dinámica para la región de La Laguna, que permita evaluar el impacto en los recursos hídricos y la disponibilidad del recurso para escenarios prospectivos resultantes de la actividad socioeconómica actual y futura, ambiental y climatológica (histórica y por cambio climático). Se pretende que dicho modelo posibilite diseñar políticas que mitiguen los efectos más nocivos y apoyen la sustentabilidad de la región en el corto y largo plazo. El presente informe comprende la etapa de colección y procesamiento de información, diagnóstico de la situación actual y conceptualización del modelo hidrológico, de demandas y gestión a desarrollar.
Demanda de agua Escasez de agua Modelos hidrológicos INGENIERÍA Y TECNOLOGÍA
MAURO IÑIGUEZ COVARRUBIAS WALDO OJEDA BUSTAMANTE ABRAHAM ROJANO AGUILAR (2011, [Artículo])
La capacidad de la red de canales en un sistema de riego depende de satisfacer la demanda hídrica máxima de los cultivos. Los métodos para determinar la capacidad del canal requieren de la estimación de la variable agronómica: evapotranspiración de los cultivos. En grandes áreas de riego, con un padrón diversificado de cultivos, diferentes fechas de siembra y varios ciclos agrícolas no existe un procedimiento integrado para estimar esta variable agronómica, lo cual genera incertidumbre al ser requerida en los métodos. En este trabajo se desarrolla una propuesta para estimar dicha variable para grandes zonas de riego.
Capacity of irrigation networks needs to satisfy peak crop water demands. The methods to size canal capacity require the estimation of an agronomic variable: crop evapotranspiration. There is not an integrated procedure to estimate crop evapotranspiration for large irrigation zones with a diversified crop pattern, different planting dates, and several crop seasons. Not having this procedure generates uncertainty in methods for canal capacity estimations. This paper presents a methodological proposal to estimate the ET variable for large irrigation zones.
Riego Evapotranspiración Demanda de agua INGENIERÍA Y TECNOLOGÍA
MLN disease diagnostics, surveillance, MLN disease-free seed production, and MLN disease management
Suresh L.M. (2022, [Objeto de congreso])
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA DISEASES DISEASE MANAGEMENT SEED PRODUCTION MAIZE NECROSIS YIELD LOSSES ECONOMIC IMPACT SURVEILLANCE SYSTEMS TRAINING
Nand Lal Kushwaha Paresh Shirsath Dipaka Ranjan Sena (2022, [Artículo])
FResampler1 Seasonal Climate Forecasts Decision Support System for Agrotechnology Transfer CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CLIMATE CHANGE DECISION SUPPORT SYSTEMS YIELDS RICE RISK MANAGEMENT
Accumulation of wheat phenolic acids under different nitrogen rates and growing environments
Wenfei Tian Yong Zhang Zhonghu He (2022, [Artículo])
Functional Wheat Trans-Ferulic Acid Nitrogen Management Environment Interaction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA WHEAT PHENOLIC ACIDS NITROGEN ENVIRONMENT ANTIOXIDANTS
Fighting food, fertilizer, and the climate crisis in Africa through targeted nitrogen management
Tek Sapkota Sieglinde Snapp (2022, [Objeto de congreso])
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA FOOD INSECURITY NITROGEN FERTILIZERS RICE WHEAT MAIZE NUTRIENT MANAGEMENT
Nahún Hamed García Villanueva JAIME COLLADO MOCTEZUMA Polioptro Martinez-Austria (2012, [Libro])
Describe un conjunto de características fisiográficas y de datos asociados con el recurso agua en la región y en los principales países que la conforman. Entre la información más relevante destaca aquella relacionada con la proporción que guardan, con respecto a la superficie total de cada país, sus superficies terrestre, de aguas continentales, bosques y praderas, así como las áreas naturales protegidas, los humedales, los desiertos y los avances en reforestación. También se analizan los recursos hídricos superficiales, los acuíferos, las extracciones, la capacidad de almacenamiento y la presión hídrica, además de las redes de observación y la calidad del agua, las zonas costeras y las cuencas transfronterizas.
Recursos hídricos Usos del agua Cooperación internacional Demanda futura de agua INGENIERÍA Y TECNOLOGÍA