User profiles for Julio Isidro Sanchéz
Julio Isidro SánchezUniversity Polytechnic of Madrid Verified email at upm.es Cited by 1627 |
[HTML][HTML] Multi-objective optimized genomic breeding strategies for sustainable food improvement
The purpose of breeding programs is to obtain sustainable gains in multiple traits while
controlling the loss of genetic variation. The decisions at each breeding cycle involve multiple, …
controlling the loss of genetic variation. The decisions at each breeding cycle involve multiple, …
[HTML][HTML] Design of training populations for selective phenotyping in genomic prediction
D Akdemir, J Isidro-Sánchez - Scientific reports, 2019 - nature.com
Phenotyping is the current bottleneck in plant breeding, especially because next-generation
sequencing has decreased genotyping cost more than 100.000 fold in the last 20 years. …
sequencing has decreased genotyping cost more than 100.000 fold in the last 20 years. …
Effects of seeding rate on durum crop production and physiological responses
Core Ideas Optimum seeding rate on elite durum wheat depends on environment. Seeding
rate had a significant positive relationship with grain yield, leaf area index, and carbon …
rate had a significant positive relationship with grain yield, leaf area index, and carbon …
Genome‐wide association mapping of Fusarium langsethiae infection and mycotoxin accumulation in oat (Avena sativa L.)
J Isidro‐Sánchez, K D'Arcy Cusack… - The Plant …, 2020 - Wiley Online Library
Fusarium langsethiae is a symptomless pathogen of oat panicles that produces T‐2 and HT‐2
mycotoxins, two of the most potent trichothecenes produced by Fusarium fungi in cereals. …
mycotoxins, two of the most potent trichothecenes produced by Fusarium fungi in cereals. …
Genome-wide association analysis using R
J Isidro-Sánchez, D Akdemir… - Oat: Methods and …, 2017 - Springer
This chapter provides a practical overview of the statistical analysis using R [1] and genotype
by sequencing (GBS) markers for genome-wide association studies (GWAS) in oats. …
by sequencing (GBS) markers for genome-wide association studies (GWAS) in oats. …
[HTML][HTML] Locally epistatic models for genome-wide prediction and association by importance sampling
Background In statistical genetics, an important task involves building predictive models of
the genotype–phenotype relationship to attribute a proportion of the total phenotypic variance …
the genotype–phenotype relationship to attribute a proportion of the total phenotypic variance …
[HTML][HTML] High-density genetic mapping of a major QTL for resistance to multiple races of loose smut in a tetraploid wheat cross
…, RM DePauw, HL Campbell, J Isidro-Sanchez… - PLoS …, 2018 - journals.plos.org
Loose smut, caused by Ustilago tritici (Pers.) Rostr., is a systemic disease of tetraploid
durum wheat (Triticum turgidum L.). Loose smut can be economically controlled by growing …
durum wheat (Triticum turgidum L.). Loose smut can be economically controlled by growing …
[HTML][HTML] Genotype by environment interaction analysis of agronomic spring barley traits in Iceland using AMMI, factorial regression model and linear mixed model
Spring barley (Hordeum vulgare L.) is the most important cereal in Iceland and its national
breeding program aims to select barley genotypes adapted to its environment. A critical step …
breeding program aims to select barley genotypes adapted to its environment. A critical step …
[HTML][HTML] Genome-wide association study and genomic prediction of resistance to stripe rust in current Central and Northern European winter wheat germplasm
…, L Morales, H Buerstmayr, JIY Sanchez… - Theoretical and Applied …, 2022 - Springer
Key message We found two loci on chromosomes 2BS and 6AL that significantly contribute
to stripe rust resistance in current European winter wheat germplasm. Abstract Stripe or …
to stripe rust resistance in current European winter wheat germplasm. Abstract Stripe or …
[HTML][HTML] Trainsel: an r package for selection of training populations
A major barrier to the wider use of supervised learning in emerging applications, such as
genomic selection, is the lack of sufficient and representative labeled data to train prediction …
genomic selection, is the lack of sufficient and representative labeled data to train prediction …