Introgresión del gen de resistencia a la roya del tallo Sr 47 en la variedad de trigo cirno C2008

JULIO HUERTA_ESPINO Susanne Dreisigacker (2023, [Artículo])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA AEGILOPS SPELTOIDES PUCCINIA GRAMINIS TRITICUM TURGIDUM STEM RUST

Exploring the agronomic performance and molecular characterization of diverse spring durum wheat germplasm in Kazakhstan

Kadyrzhan Mukin Abdelfattah DABABAT Timur Savin Vladimir Shamanin Vadim Yusov Alexey Morgounov (2023, [Artículo])

Germplasm Characterization Molecular Markers CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA TRITICUM TURGIDUM GERMPLASM GENETIC MARKERS BREEDING

Fungal pathogens associated with crown and root rot in wheat-growing areas of Northern Kyrgyzstan

Göksel ÖZER SENOL YILDIZ MUSTAFA IMREN Abdelfattah DABABAT (2023, [Artículo])

Wheat Diseases Crown and Root Rot CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA TRITICUM WHEAT DISEASES ROOT ROTS PATHOGENICITY

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

Editorial: Genome wide association studies and genomic selection for crop improvement in the era of Big Data

Alison Bentley Charles Chen Nunzio D'Agostino (2022, [Artículo])

Allele Mining High-Throughput Phenotyping Genomic Estimated Breeding Value CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CROP IMPROVEMENT DNA CHROMOSOME MAPPING GENETIC LINKAGE GENOMES GENOTYPING GERMINATION HEAT STRESS QUALITY CONTROL SINGLE NUCLEOTIDE POLYMORPHISM TRITICUM AESTIVUM GENETIC DIVERSITY (AS RESOURCE) HIGH-THROUGHPUT SEQUENCING

Genotype×Environment interaction and stability analysis using GGE biplot for grain yield of bread wheat (Triticum aestivum) genotypes under low moisture stress areas of Ethiopia

Ayele Badebo Huluka Bekele Abeyo (2023, [Artículo])

Moisture Stress Grain Yield CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENOTYPE ENVIRONMENT INTERACTION DROUGHT STRESS STABILITY TRITICUM AESTIVUM LATTICE DESIGN

Exploring the genetic diversity and population structure of wheat landrace population conserved at ICARDA genebank

Muhammad Massub Tehseen Fatma Aykut Tonk Ahmed Amri Carolina Sansaloni Ezgi Kurtulus Muhammad Salman Mubarik Kumarse Nazari (2022, [Artículo])

Wheat Landraces Genetic Diversity SNP Markers Analysis of Molecular Variance AMOVA CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BREEDING DISCRIMINANT ANALYSIS GENETIC VARIATION GENETIC DISTANCE GENETIC IMPROVEMENT GENETIC MARKERS HEXAPLOIDY LANDRACES POPULATION STRUCTURE SINGLE NUCLEOTIDE POLYMORPHISM TRITICUM AESTIVUM WHEAT

QTL mapping and genomic prediction of resistance to wheat head blight caused by Fusarium verticillioides

XUECAI ZHANG Yong Zhang (2022, [Artículo])

Fusarium Head Blight Resistance Fusarium verticillioides QTL Mapping Genomic Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA FUSARIUM QUANTITATIVE TRAIT LOCI MAPPING 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

Identification and validation of stable quantitative trait loci for yield component traits in wheat

Yong Zhang Zhonghu He xianchun xia Yan Zhang Shuanghe Cao (2023, [Artículo])

Grain Number Per Spike KASP Markers QTL Mapping Thousand Grain Weight CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA QUANTITATIVE TRAIT LOCI MAPPING TRITICUM AESTIVUM GRAIN YIELD COMPONENTS MARKER-ASSISTED SELECTION