Genetic effects of Rht-B1b and Rht-D1b dwarfing alleles on plant height and agronomic traits of bread wheat (Triticum aestivum L.) breeding lines

Zine El Abidine Fellahi Abderrahmane Hannachi Susanne Dreisigacker deepmala sehgal Hamenna Bouzerzour (2023, [Artículo])

Pleiotropic Effects Reduced Height Genes CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA PLANT HEIGHT TRITICUM AESTIVUM YIELD COMPONENTS ALLELES BREEDING LINES

Using microsatellite data to estimate the persistence of field-level yield gaps and their drivers in smallholder systems

Balwinder-Singh Meha Jain (2023, [Artículo])

One way to meet growing food demand is to increase yields in regions that have large yield gaps, including smallholder systems. To do this, it is important to quantify yield gaps, their persistence, and their drivers at large spatio-temporal scales. Here we use microsatellite data to map field-level yields from 2014 to 2018 in Bihar, India and use these data to assess the magnitude, persistence, and drivers of yield gaps at the landscape scale. We find that overall yield gaps are large (33% of mean yields), but only 17% of yields are persistent across time. We find that sowing date, plot area, and weather are the factors that most explain variation in yield gaps across our study region, with earlier sowing associated with significantly higher yield values. Simulations suggest that if all farmers were able to adopt ideal management strategies, including earlier sowing and more irrigation use, yield gaps could be closed by up to 42%. These results highlight the ability of micro-satellite data to understand yield gaps and their drivers, and can be used to help identify ways to increase production in smallholder systems across the globe.

Yield Drivers Yield Mapping CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MICROSATELLITES YIELD GAP SMALLHOLDERS FOOD PRODUCTION YIELD INCREASES

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

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

New flavors from old wheats: exploring the aroma profiles and sensory attributes of local Mediterranean wheat landraces

Alon Cna'ani Vered Tzin Maria Itria Ibba Hector Gonzalez-Santoyo (2023, [Artículo])

Wheat Landraces Wholemeal Flour Aroma Compounds Sourdough Bread CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA AMINO ACIDS FLAVOUR COMPOUNDS HARD WHEAT ORGANIC ACIDS WHOLE GRAIN FLOUR

Mapping QTL for phenological and grain-related traits in a mapping population derived from high-zinc-biofortified wheat

Gopalareddy Krishnappa Govindan Velu (2023, [Artículo])

DArT-Seq Gene Mapping Yield Component Traits CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA WHEAT QUANTITATIVE TRAIT LOCI CANDIDATE GENES QUANTITATIVE TRAIT LOCI MAPPING YIELD COMPONENTS BIOFORTIFICATION

Genome-wide association analyses of agronomic traits and Striga hermonthica resistance in pearl millet

Hussein Shimelis Chris Ojiewo Abhishek Rathore (2023, [Artículo])

Pearl millet (Pennisetum glaucum [L.] R. Br.) is a nutrient-dense, relatively drought-tolerant cereal crop cultivated in dry regions worldwide. The crop is under-researched, and its grain yield is low (< 0.8 tons ha−1) and stagnant in the major production regions, including Burkina Faso. The low productivity of pearl millet is mainly attributable to a lack of improved varieties, Striga hermonthica [Sh] infestation, downy mildew infection, and recurrent heat and drought stress. Developing high-yielding and Striga-resistant pearl millet varieties that satisfy the farmers’ and market needs requires the identification of yield-promoting genes linked to economic traits to facilitate marker-assisted selection and gene pyramiding. The objective of this study was to undertake genome-wide association analyses of agronomic traits and Sh resistance among 150 pearl millet genotypes to identify genetic markers for marker-assisted breeding and trait introgression. The pearl millet genotypes were phenotyped in Sh hotspot fields and screen house conditions. Twenty-nine million single nucleotide polymorphisms (SNPs) initially generated from 345 pearl millet genotypes were filtered, and 256 K SNPs were selected and used in the present study. Phenotypic data were collected on days to flowering, plant height, number of tillers, panicle length, panicle weight, thousand-grain weight, grain weight, number of emerged Striga and area under the Striga number progress curve (ASNPC). Agronomic and Sh parameters were subjected to combined analysis of variance, while genome-wide association analysis was performed on phenotypic and SNPs data. Significant differences (P < 0.001) were detected among the assessed pearl millet genotypes for Sh parameters and agronomic traits. Further, there were significant genotype by Sh interaction for the number of Sh and ASNPC. Twenty-eight SNPs were significantly associated with a low number of emerged Sh located on chromosomes 1, 2, 3, 4, 6, and 7. Four SNPs were associated with days-to-50%-flowering on chromosomes 3, 5, 6, and 7, while five were associated with panicle length on chromosomes 2, 3, and 4. Seven SNPs were linked to thousand-grain weight on chromosomes 2, 3, and 6. The putative SNP markers associated with a low number of emerged Sh and agronomic traits in the assessed genotypes are valuable genomic resources for accelerated breeding and variety deployment of pearl millet with Sh resistance and farmer- and market-preferred agronomic traits.

High-Yielding Varieties Striga-Resistant Agronomic Parameters CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENOME-WIDE ASSOCIATION STUDIES STRIGA HERMONTHICA PEARL MILLET

The impact of 1.5 °C and 2.0 °C global warming on global maize production and trade

Wei Xiong Tariq Ali (2022, [Artículo])

Future Climate Scenario Data Yield Reduction Risk CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CLIMATE CHANGE GREENHOUSE EFFECT MAIZE MITIGATION SIMULATION ACCLIMATIZATION ADAPTATION GLOBAL WARMING

Evaluación de sobrecarga por cifrado en redes multisalto para la internet de las cosas médicas

Evaluation of encryption overload in multihop networks for the internet of medical things

Adrián Neftalí Sánchez (2022, [Tesis de maestría])

El Internet de las cosas médicas (IoMT por sus siglas en ingles) permitirá habilitar servicios y aplicaciones enfocados a diagnósticos más precisos y mejorar la cobertura efectiva de los sistemas de salud. Para esto, es necesario la recolección y envío de información de salud de las personas a través de sensores que monitorean continuamente los signos vitales de las personas. El envío a través de redes para el internet de las cosas (IoT por sus siglas en ingles) de información de salud plantea varios retos importantes para los sistemas de comunicaciones. Uno de los más relevantes es el de preservar la confidencialidad y privacidad de la información desde su recolección hasta su tratamiento y almacenamiento. Esto es especialmente complejo considerando que los sensores utilizados suelen tener pocos recursos en términos de memoria y capacidad de procesamiento. Por lo tanto se han propuesto una serie de algoritmos que cifran esta información de una manera eficiente usando los recursos limitados con los que cuentan estos dispositivos. Estos algoritmos han sido evaluados desde la perspectiva de consumo de potencia y rendimiento. Sin embargo, no se ha hecho una evaluación de cómo éstos afectan el comportamiento de una red IoMT en su conjunto. El presente trabajo de investigación busca evaluar el comportamiento de la implementación de una red IoMT cuya pila de tecnologías en su capa de seguridad utilice algoritmos de cifrado ligero para proteger información desde el momento de conformación de la red. Para realizar esta evaluación se consideraron 5 candidatos de algoritmos de cifrado ligero del concurso que está llevando a cabo el instituto nacional de estándares y tecnología de los Estados Unidos (NIST por sussiglas en ingles), con los cuales utilizando métricas de red, se evaluó el comportamiento de la red al variar entre los distintos algoritmos de cifrado ligero además de compararlos con una implementación del cifrado por defecto AES-128 y una implementación sin ningún tipo de cifrado. Para realizar las diferentes implementaciones con las que se realizó esta evaluación se utilizó el sistema operativo IoT Contiki-ng el cual fue implementado tanto en dos distintos simuladores (Cooja y Renode) como en el dispositivo físico Sensortag-CC2650.

The Internet of medical things (IoMT) will enable services and applications focused on more accurate diagnoses and improve the effective coverage of health systems. For this, it is necessary to collect and send people’s health information through sensors that continuously monitor people’s vital signs. Delivering health information over internet of things networks (IoT) poses several significant challenges for communications systems. One of the most relevant is to preserve the confidentiality and privacy of the information from its collection to its treatment and storage. This is especially complex considering that the sensors used tend to have few resources in terms of memory and processing capacity. Therefore, a series of algorithms have been proposed that encrypt this information efficiently using the limited resources available to these devices. These algorithms have been evaluated from the perspective of power consumption and performance. However, no assessment has been made of how these affect the behavior of an IoMT network as a whole. This research work seeks to evaluate the behavior of an implementation of an IoMT network whose stack of technologies in its security layer uses lightweight encryption algorithms to protect information from the moment the network is formed. To carry out this evaluation, 5 candidates for lightweight encryption algorithms from the contest being carried out by National Institute of Standards and Technology (NIST) were considered, with which, using network metrics, the behavior of the network was evaluated for different lightweight encryption algorithms in addition to comparing them. with an implementation of the default encryption AES-128 and an implementation without any encryption. To carry out the different implementations with which this evaluation was carried out, the IoT Contiki-ng operating system was used, which was implemented both in two different simulators (Cooja and Renode) and in the physical device Sensortag-CC2650.

IoT, IoMT, Contiki-NG, WSN, 6LoWPAN, RPL, IPv6, DTLS, TLS, PSK, TinyDTLS, CoAP, CC2650, CC2538, Grain-128AEAD, Xoodyak, ASCON, GIFT-COFB, TinyJambu, AES-128 IoT, IoMT, Contiki-NG, WSN, 6LoWPAN, RPL, IPv6, DTLS, TLS, PSK, TinyDTLS, CoAP, CC2650, CC2538, Grain-128AEAD, Xoodyak, ASCON, GIFTCOFB, TinyJambu, AES-128 INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LAS TELECOMUNICACIONES TECNOLOGÍA DE LAS TELECOMUNICACIONES