Results 11 to 20 of about 1,829 (130)

Balancing gain and diversity: Optimal contribution selection for sustainable genetic improvement in sugarcane. [PDF]

open access: yesPlant Genome
Abstract Sugarcane (Saccharum spp. hybrids), the source of ∼80% of the worlds sugar, has experienced a plateau in genetic improvement over recent decades. This stagnation is largely due to the crop's complex polyploid genome and long breeding cycles, which limit the efficiency of traditional selection methods.
Vo Van-Zivkovic N   +5 more
europepmc   +2 more sources

Optimizing multi-trait selection for profitability in Illinois wheat using a factor analytic mixed model and an economic selection index. [PDF]

open access: yesPlant Genome
Abstract Economic selection indices can improve the efficiency of selection for multiple traits, but they are underutilized in plant breeding due to limited research on the economic values of traits and a lack of well‐documented case examples employing economic indices.
Berger Munaro L   +2 more
europepmc   +2 more sources

Evaluation of Multi-Breed Genomic Prediction Models for Carcass and Reproductive Traits in Zebu Beef Cattle. [PDF]

open access: yesAnim Genet
ABSTRACT Genomic prediction in beef cattle is particularly challenging in breeds with limited phenotypic and genotypic data. In this context, multi‐breed methodologies that integrate information from genetically related populations have emerged as a promising strategy to improve prediction accuracy and calibration under data‐scarce conditions.
Gubiani G   +9 more
europepmc   +2 more sources

A haplotype-based approach to explore genotype-by-environment interactions for barley yield. [PDF]

open access: yesPlant Genome
Abstract Climate change poses a significant threat to cereal production, making it increasingly important to understand the role of genotype‐by‐environment interactions (GEIs) in crops. Traditional breeding approaches consider GEIs at a whole genotype level missing valuable breeding potential that can be dissected by exploring this relationship at a ...
Brunner SM   +9 more
europepmc   +2 more sources

Genomic Selection for Milk Production Traits in Xinjiang Brown Cattle

open access: yesAnimals, 2022
One-step genomic selection is a method for improving the reliability of the breeding value estimation. This study aimed to compare the reliability of pedigree-based best linear unbiased prediction (PBLUP) and single-step genomic best linear unbiased ...
Menghua Zhang   +8 more
doaj   +1 more source

Breed of origin of alleles and genomic predictions for crossbred dairy cows

open access: yesGenetics Selection Evolution, 2021
Background In dairy cattle, genomic selection has been implemented successfully for purebred populations, but, to date, genomic estimated breeding values (GEBV) for crossbred cows are rarely available, although they are valuable for rotational ...
Jón H. Eiríksson   +3 more
doaj   +1 more source

Single-step genomic evaluation of milk production traits in Canadian Alpine and Saanen dairy goats

open access: yesJournal of Dairy Science, 2022
: Genomic evaluations are routine in most plant and livestock breeding programs but are used infrequently in dairy goat breeding schemes. In this context, the purpose of this study was to investigate the use of the single-step genomic BLUP method for ...
Erin Massender   +7 more
doaj   +1 more source

Validation with single-step SNPBLUP shows that evaluations can continue using a single mean of genotyped individuals, even with multiple breeds

open access: yesGenetics Selection Evolution, 2023
Background In genomic prediction, it is common to centre the genotypes of single nucleotide polymorphisms based on the allele frequencies in the current population, rather than those in the base generation.
Michael Aldridge   +5 more
doaj   +1 more source

Developing flexible models for genetic evaluations in smallholder crossbred dairy farms

open access: yesJournal of Dairy Science, 2023
: The productivity of smallholder dairy farms is very low in developing countries. Important genetic gains could be realized using genomic selection, but genetic evaluations need to be tailored for lack of pedigree information and very small farm sizes ...
R. Costilla   +6 more
doaj   +1 more source

Integration of genomic information into sport horse breeding programs for optimization of accuracy of selection

open access: yesAnimal, 2012
Reliable selection criteria are required for young riding horses to increase genetic gain by increasing accuracy of selection and decreasing generation intervals.
A.M. Haberland   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy