High Throughput-Phenotyping at CIMMYT: Experiences and needs

Francisco Pinto (2021, [Objeto de congreso])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BREEDING PROGRAMMES GENETIC GAIN CROSS-BREEDING TECHNOLOGY YIELD POTENTIAL FIELD EXPERIMENTATION

Estandarización de nombres comunes de plantas yucatanenses, parte 1: mayas y yucatecos

Jorge Carlos Trejo Torres (2023, [Artículo])

Nombrar plantas es una necesidad para ocuparnos de ellas. En casos afortunados, una especie tiene un solo nombre común, aunque frecuentemente las especies tienen más de un nombre. En la península de Yucatán, los nombres en lengua maya son complejos en escritura y pronunciación. Aunque la estandarización de su escritura se ha trabajado, hoy día es común ver nombres mayas de plantas escritos sin reglas. Entonces, proponemos criterios para estandarizar la escritura o selección de nombres comunes de las plantas regionales. También planteamos que dicha estandarización se integre en medios confiables como bases de datos botánicas regionales.

BASES DE DATOS BOTANICAS CRITERIOS ESPAÑOL YUCATECO NOMENCLATURA FOLCLORICA LENGUA MAYA BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOLOGÍA VEGETAL (BOTÁNICA) ECOLOGÍA VEGETAL ECOLOGÍA VEGETAL

MLN disease diagnostics, 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

Discovery of genomic regions associated with grain yield and agronomic traits in Bi-parental populations of maize (Zea mays. L) under optimum and low nitrogen conditions

Noel Ndlovu Vijay Chaikam Berhanu Tadesse Ertiro Biswanath Das Yoseph Beyene Charles Spillane Prasanna Boddupalli Manje Gowda (2023, [Artículo])

Grain Yield Low Soil Nitrogen CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GRAIN NITROGEN SOIL CHEMICOPHYSICAL PROPERTIES MAIZE QUANTITATIVE TRAIT LOCI

First detection of virulence in Puccinia striiformis f. Sp. tritici to wheat resistance genes Yr10 and Yr24 (=Yr26) in Mexico

JULIO HUERTA_ESPINO Ravi Singh (2017, [Artículo])

Near Isogenic Lines Virulence Spectrum Yellow Rust CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA VIRULENCE PUCCINIA STRIIFORMIS WHEAT RESISTANCE GENES

Identification and characterisation of stripe rust resistance genes Yr66 and Yr67 in wheat cultivar VL gehun 892

Harbans Bariana Lakshmi Kant Naeela Qureshi Urmil Bansal (2022, [Artículo])

Kompetitive Allele Specific PCR Stripe Rust Yr Genes CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENETIC MARKERS MARKER-ASSISTED SELECTION RUSTS WHEAT GENES

Nitrogen deficiency tolerance and responsiveness of durum wheat genotypes in Ethiopia

Tesfaye Geleta Aga Kebebew Assefa Bekele Abeyo (2022, [Artículo])

Low-Nitrogen Tolerance Yield Reduction Tolerant Genotypes Parental Donors CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA NITROGEN HARD WHEAT GENOTYPES

Distribution of Puccinia striiformis f. sp. tritici races and virulence in wheat growing regions of Kenya from 1970 to 2014

Lesley Boyd sridhar bhavani Cristobal Uauy Annemarie Fejer Justesen Mogens Hovmoller (2022, [Artículo])

Cereals and Grains Pathogen Diversity Puccinia f. sp. tritici Stripe Rust Yellow Rust CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CEREALS FIELD CROPS FUNGI PATHOGENICITY RUSTS TRITICUM AESTIVUM

Catching-up with genetic progress: Simulation of potential production for modern wheat cultivars in the Netherlands

João Vasco Silva Frits K. Van Evert Pytrik Reidsma (2023, [Artículo])

Context: Wheat crop growth models from all over the world have been calibrated on the Groot and Verberne (1991) data set, collected between 1982 and 1984 in the Netherlands, in at least 28 published studies to date including various recent ones. However, the recent use of this data set for calibration of potential yield is questionable as actual Dutch winter wheat yields increased by 3.1 Mg ha-1 over the period 1984 – 2015. A new comprehensive set of winter wheat experiments, suitable for crop model calibration, was conducted in Wageningen during the growing seasons of 2013–2014 and of 2014–2015. Objective: The present study aimed to quantify the change of winter wheat variety traits between 1984 and 2015 and to examine which of the identified traits explained the increase in wheat yield most. Methods: PCSE-LINTUL3 was calibrated on the Groot and Verberne data (1991) set. Next, it was evaluated on the 2013–2015 data set. The model was further recalibrated on the 2013–2015 data set. Parameter values of both calibrations were compared. Sensitivity analysis was used to assess to what extent climate change, elevated CO2, changes in sowing dates, and changes in cultivar traits could explain yield increases. Results: The estimated reference light use efficiency and the temperature sum from anthesis to maturity were higher in 2013–2015 than in 1982–1984. PCSE-LINTUL3, calibrated on the 1982–1984 data set, underestimated the yield potential of 2013–2015. Sensitivity analyses showed that about half of the simulated winter wheat yield increase between 1984 and 2015 in the Netherlands was explained by elevated CO2 and climate change. The remaining part was explained by the increased temperature sum from anthesis to maturity and, to a smaller extent, by changes in the reference light use efficiency. Changes in sowing dates, biomass partitioning fractions, thermal requirements for anthesis, and biomass reallocation did not explain the yield increase. Conclusion: Recalibration of PCSE-LINTUL3 was necessary to reproduce the high wheat yields currently obtained in the Netherlands. About half of the reported winter wheat yield increase was attributed to climate change and elevated CO2. The remaining part of the increase was attributed to changes in the temperature sum from anthesis to maturity and, to a lesser extent, the reference light use efficiency. Significance: This study systematically addressed to what extent changes in various cultivar traits, climate change, and elevated CO2 can explain the winter wheat yield increase observed in the Netherlands between 1984 and 2015.

Light Use Efficiency Potential Yield CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CROP MODELLING LIGHT PHENOLOGY MAXIMUM SUSTAINABLE YIELD TRITICUM AESTIVUM WINTER WHEAT

Estrategia para potabilización de agua en las cuencas de los ríos Yautepec y Cuautla, Morelos, con un enfoque holístico (segunda etapa)

ANA MARIA SANDOVAL VILLASANA SARA PEREZ CASTREJON MARIA DE LOURDES RIVERA HUERTA Silvia Gelover Santiago Arturo González Herrera IVAN EMMANUEL VILLEGAS MENDOZA (2015, [Documento de trabajo])

En el año 2014 se realizó la primera etapa de este estudio, en ella se identificaron contaminantes inorgánicos y emergentes en fuentes de abastecimiento y plantas potabilizadoras de las cuencas de los ríos Cuautla y Yautepec. La evaluación de exposición humana a la gama de contaminantes identificados en el agua de consumo humano mostró que el arsénico (As) y la hormona sintética mestranol son altamente relevantes por su concentración (el As superó el límite de 25 μg/L establecido en la normativa vigente, en tanto que el mestranol superó los 2.5 ng/L propuestos en las guías australianas para reciclamiento de agua con fines potables), así que, posiblemente, la población esté ingiriendo dosis superiores a las aceptables, el riesgo es aún mayor considerando que ambos contaminantes son carcinógenos de humanos y disruptores endócrinos. Para esta segunda etapa del año 2015, se planteó dar continuidad a la evaluación de riesgos sanitarios, y evaluar dos tecnologías de tratamiento para potabilización del agua a fin de remover As y 17β-estradiol (molécula modelo de la movilidad y degradabilidad del mestranol).

Ambiente acuático Impactos en la salud Desarrollo sostenible Río Yautepec Río Cuautla Tratamiento del agua Remoción de arsénico INGENIERÍA Y TECNOLOGÍA