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Autor: Karim Ammar
Phenotypic and genotypic data from the CIMMYT Durum Wheat Breeding Program
Karim Ammar Carlos Guzman Susanne Dreisigacker JULIO HUERTA_ESPINO (2018)
Phenotypic data collected in on-station field trials and genotypic data for breeding materials from the CIMMYT Durum Wheat breeding program are included in this study.
Dataset
Phenotypic and genotypic data from the CIMMYT Durum Wheat Breeding Program
Karim Ammar Carlos Guzman Susanne Dreisigacker JULIO HUERTA_ESPINO (2018)
Phenotypic data collected in on-station field trials and genotypic data for breeding materials from the CIMMYT Durum Wheat breeding program are included in this study.
Dataset
Multi-trait multi-environment genomic prediction of durum wheat
Osval Antonio Montesinos-Lopez ROBERTO TUBEROSA MARCO MACCAFERRI GIUSEPPE SCIARA Karim Ammar Jose Crossa (2019)
In this paper we cover multi-trait prediction of grain yield (GY), days to heading (DH) and plant height (PH) of 270 durum wheat lines that were evaluated in 43 environments (location-year combinations) in Bologna, Italy. The results of the multi-trait deep learning method also were compared with univariate predictions of the genomic best linear unbiased predictor (GBLUP) method and the univariate counterpart of the multi-trait deep learning method. All models were implemented with and without the genotype×environment interaction term. We found that the best predictions were observed without the genotype×environment interaction term in the univariate and multivariate deep learning methods, but under the GBLUP method, the best predictions were observed taking into account the interaction term. We also found that in general the best predictions were observed under the GBLUP model but the predictions of the multi-trait deep learning model were very similar to those of the GBLUP model.
Dataset
Response to heat stress and glutenins allelic variation effects on quality traits in durum wheat
Facundo Tabbita Karim Ammar Maria Itria Ibba MARCO MACCAFERRI ROBERTO TUBEROSA Carlos Guzman (2024)
Artículo
Gluten Quality Sedimentation Volume Wheat Quality CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GLUTEN QUALITY GLUTENINS HEAT STRESS WHEAT
Genome-wide association study of common resistance to rust species in tetraploid wheat
Daniela Marone Anna Maria Mastrangelo Karim Ammar Filippo Maria Bassi Meinan Wang Xianming Chen Diego Rubiales Oadi Matny Brian Steffenson (2024)
Artículo
Wheat Rusts Tetraploid Wheat Multi-Location Trials CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA QUANTITATIVE TRAIT LOCI TETRAPLOIDY WHEAT RUSTS GENOME-WIDE ASSOCIATION STUDIES
Replication data for: Increased ranking change in wheat breeding under climate change
Wei Xiong Matthew Paul Reynolds Jose Crossa Urs Schulthess Kai Sonder Carlo Montes Nicoletta Addimando Ravi Singh Karim Ammar Bruno Gerard Thomas Payne (2022)
A standard quantitative genetic model was used to examine how genotype-environment interactions have changed over the past decades from four spring wheat trial data sets. The variability of cross interactions for yield from one year to another is explained in more than 70% by climatic factors.
Dataset