Results 131 to 140 of about 25,499,012 (214)

Lodging Tolerance of Winter Rye (Secale cereale L.) in Genetic Resources Compared With Commercial Entries and Test of a Provocation Trial

open access: yesPlant Breeding, EarlyView.
ABSTRACT Winter rye is the tallest small‐grain cereal and consequently more prone to lodging. Plant growth regulators are routinely used in commercial production to reduce the risk of lodging. To select genotypes with better tolerance to stem lodging despite its incidental character, we tested the use of a provocation trial with higher nitrogen level ...
T. Miedaner, S. Frank, J. Eifler
wiley   +1 more source

Estimating genomic breeding values from the QTL-MAS Workshop Data using a single SNP and haplotype/IBD approach [PDF]

open access: yes, 2009
Two models that estimated genomic estimated breeding values (EBVs) were applied: one used constructed haplotypes (based on alleles of 20 markers) and IBD matrices, another used single SNP regression.
Calus, M.P.L.   +2 more
core  

QTL analysis scripts for North Carolina data

open access: yes, 2013
This file contains the R scripts used for QTL analysis of the F2 data from the NC field site. Use of the various scripts is described in comment lines within the file.
David L. Remington (3283257)   +3 more
core   +1 more source

Genome‐Wide Association Study Elucidates the Genetic Architecture of Manganese Tolerance in Brassica napus

open access: yesPlant, Cell &Environment, EarlyView.
ABSTRACT Brassica napus (canola) is a significant contributor to the world's oil production and is cultivated across continents, yet acidic soils with aluminium (Al3+) and manganese (Mn2+) toxicities limit its production. The genetic determinants underlying natural variation for acidic soil tolerance in canola are unknown and need to be determined ...
Harsh Raman   +13 more
wiley   +1 more source

Quantitative trait locus analysis using J/qtl.

open access: yes, 2009
Quantitative trait locus (QTL) analysis is a statistical method to link phenotypes with regions of the genome that affect the phenotypes in a mapping population.
Smith, R   +3 more
core   +1 more source

Orchestrating multi-state QTL analysis with Bioconductor

open access: yesBMC Bioinformatics
Background The scope of many Quantitative Trait Locus (QTL) mapping studies has increased to include different cellular and environmental states. However, drawing biologically relevant conclusions from the large, high-dimensional data that come from ...
Christina B. Del Azodi   +2 more
doaj   +1 more source

Molecular Chaperone Networks in Plants: Maintaining Proteostasis and Enhancing Stress Resilience for Crop Improvement

open access: yesPlant, Cell &Environment, EarlyView.
ABSTRACT Molecular chaperones play a central role in the plant proteostasis machinery by aiding the folding of nascent proteins, preventing aggregation, and repairing or degrading damaged proteins. These functions are especially essential during abiotic and biotic stress, which can destabilise cellular proteins and disrupt metabolic homoeostasis.
Mingfang Yang   +10 more
wiley   +1 more source

Confidence intervals in QTL mapping by bootstrapping [PDF]

open access: yes, 1996
The determination of empirical confidence intervals for the location of quantitative trait loci (QTLs) was investigated using simulation. Empirical confidence intervals were calculated using a bootstrap resampling method for a backcross population ...
Visscher, PM   +5 more
core  

QTL analyses for three grain quality traits in bread wheat using intervarietal mapping populations

open access: yesCzech Journal of Genetics and Plant Breeding, 2005
H.S. Balyan   +3 more
doaj   +1 more source

Microbial Partnerships for Sustainable Soybean Cultivation: Mechanisms, Applications and Prospects

open access: yesPlant, Cell &Environment, EarlyView.
ABSTRACT Soybean production is increasingly threatened by fluctuating environmental conditions and nutrient limitations. While synthetic fertilisers can alleviate these constraints, their excessive use has raised concerns regarding long‐term soil health. Consequently, leveraging beneficial soil microbes, a diverse group of microorganisms that reside in
Carolina A. Contador   +4 more
wiley   +1 more source

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