Results 31 to 40 of about 21,140 (246)
Small Area Shrinkage Estimation
The need for small area estimates is increasingly felt in both the public and private sectors in order to formulate their strategic plans. It is now widely recognized that direct small area survey estimates are highly unreliable owing to large standard ...
Datta, G., Ghosh, M.
core +1 more source
TaMYB7‐A1 directly activates TaABI5 to enhance ABA signaling and regulate ABA‐GA homeostasis, enforcing seed dormancy. Its superior allele, derived from wild einkorn introgression, harbors a MITE insertion that elevates expression and two amino acid substitutions that enhance transcriptional activity, collectively generating graded PHS resistance for ...
Hao Wang +18 more
wiley +1 more source
Evaluation of sires using univariate animal model in Murrah buffaloes
The percentage of sires superior to the population mean was 63.24, 58.82, and 60.29% using LS, BLUP, and DFREML method respectively for AFC trait. The corresponding figure in percentage applying LS, BLUP and DFREML methods were 51.47, 58.82 and 39.71 ...
REETU TEWARI +3 more
doaj +1 more source
Perspectives from agriculture: advances in livestock breeding - implications for aquaculture genetics [PDF]
In this paper we present livestock breeding developments that could be taken into consideration in the genetic improvement of farmed aquaculture species, especially in freshwater fish.
Nguyen, N.H., Ponzoni, R.W.
core
Predicting cervical cancer DNA methylation from genetic data using multivariate CMMP
Abstract Epigenetic modifications link the environment to gene expression and play a crucial role in tumour development. DNA methylation, in particular, is gaining attention in cancer research, including cervical cancer, the focus of this study.
Hang Zhang +5 more
wiley +1 more source
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini +2 more
wiley +1 more source
Improving Genomic Prediction Using High-Dimensional Secondary Phenotypes
In the past decades, genomic prediction has had a large impact on plant breeding. Given the current advances of high-throughput phenotyping and sequencing technologies, it is increasingly common to observe a large number of traits, in addition to the ...
Bader Arouisse +3 more
doaj +1 more source
Modeling missing pedigree in single-step genomic BLUP [PDF]
The objective was to compare methods of modeling missing pedigree in single-step genomic BLUP (ssGBLUP). Options for modeling missing pedigree included ignoring the missing pedigree, unknown parent groups (UPG) based on A (the numerator relationship matrix) or H (the unified pedigree and genomic relationship matrix), and metafounders.
Bradford, H.L. +4 more
openaire +5 more sources
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio +1 more
wiley +1 more source
Genomic prediction in a backcross population using relationship matrices [PDF]
Backcrossing is a widely used crossbreeding strategy for transferring desirable traits from a donor line into a recurrent parent population. Although genomic selection can accelerate genetic improvement in these populations, traditional models such as G ...
A. A. Musa +4 more
doaj +1 more source

