Results 121 to 130 of about 10,959 (264)

Genomic and Transcriptomic Insights Into Salinity Tolerance in Dry Pea

open access: yesLegume Science, Volume 8, Issue 2, June 2026.
ABSTRACT Salinity is a major crop production constraint in dry pea (Pisum sativum L.), making the development of salt‐tolerant varieties essential to improve crop productivity and land‐use efficiency. The genetic mechanisms of salt tolerance in dry pea are largely unknown, and research on salt‐tolerant genes is limited.
Shailesh Raj Acharya   +11 more
wiley   +1 more source

BLUP for pedigree beef and sheep breeders

open access: yes, 1991
(BLUP - Best Linear Unbiased Prediction)Available from British Library Document Supply Centre- DSC:8679.1751(SAC-TN-T--265) / BLDSC - British Library Document Supply CentreSIGLEGBUnited ...
Scottish Agricultural Colls., Perth (United Kingdom)   +2 more
core  

The Paraphyletic Origins of Genetic Resistance to Cabbage Stem Flea Beetle in Brassica oleracea

open access: yesPlant-Environment Interactions, Volume 7, Issue 3, June 2026.
ABSTRACT The cabbage stem flea beetle (CSFB) poses a growing threat to winter Brassica crops in Europe, yet the genetic basis of resistance remains poorly understood. To clarify the genetic architecture and evolutionary origins of resistance to CSFB adult feeding, we conducted a genome‐wide association study (GWAS) by combining high‐throughput pool ...
Mathieu Tiret   +11 more
wiley   +1 more source

Predictive ability and bias boxplot for different genomic selection methods (BayesB, BLASSO, RR-BLUP, G-BLUP and RKHS) with the 1st cross validation strategy, for fresh root yield, dry root yield and dry matter content.

open access: yes, 2019
Predictive ability and bias boxplot for different genomic selection methods (BayesB, BLASSO, RR-BLUP, G-BLUP and RKHS) with the 1st cross validation strategy, for fresh root yield, dry root yield and dry matter content.
Luciano Rogério Braatz de Andrade (7866239)   +4 more
core   +1 more source

Bayes factor for linear mixed model in genetic association studies

open access: yesQuantitative Biology, Volume 14, Issue 2, June 2026.
Abstract Bayes factor has advantages over p‐value as test statistics for association, particularly when comparing multiple non‐nested alternative models. An efficient method to compute Bayes factor for linear mixed model (LMM) in the context of genetic association studies is lacking.
Yongtao Guan, Daniel Levy
wiley   +1 more source

ODABIR I STUPNJEVANJE NAZIMICA KORISTEĆI BLUP

open access: yesStočarstvo : Časopis za unapređenje stočarstva, 2004
Selekcija nazimica u Republici Hrvatskoj do nedavno se provodila prema selekcijskim ekonomskim indeksima Međutim koeficijenti upotrebljavanih indeksa nisu bili procijenjeni na temelju podataka domaće populacije, već su preuzeti iz literature. U svinjogojstvu Hrvatske prelazi se na odabir nazimica temeljem procjene uzgojne vrijednosti pomoću BLUP-a. Pri
Vincek, Dragutin   +5 more
openaire   +2 more sources

Wheat's war against stripe rust: Integrating host immunity, genomics and breeding for durable resistance

open access: yesThe Plant Genome, Volume 19, Issue 2, June 2026.
Abstract Wheat (Triticum aestivum L.), a foundation of global food security, faces persistent threats from stripe rust caused by Puccinia striiformis f. sp. tritici (Pst). The pathogen thrives in cool and humid environments and regularly causes epidemics that lead to severe yield losses.
Farkhandah Jan   +11 more
wiley   +1 more source

The matrix Handling of BLUE and BLUP in the mixed linear model

open access: yesLinear Algebra and its Applications, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Multi‐environment evaluation and genomic prediction of agronomic traits in the southern US rice genepool

open access: yesThe Plant Genome, Volume 19, Issue 2, June 2026.
Abstract The southern United States is responsible for 80% of the country's production of rice, approximately half of which is exported. Understanding genotypic and environmental factors impacting the historical performance of rice (Oryza sativa L.) is important for directing research efforts to optimize production of this globally important crop.
Mary‐Francis LaPorte   +8 more
wiley   +1 more source

A benchmarking of genomic selection models for predicting grain‐yield related traits using haplotype‐based and genome‐wide association study‐based markers in rice

open access: yesThe Plant Genome, Volume 19, Issue 2, June 2026.
Abstract Rice (Oryza sativa) is an important staple food, feeding more than half of the global population. A feasible improvement of rice yield is necessary to meet the ever–growing food demands. Genomic selection (GS), as an advanced breeding technique, enables the prediction of phenotypes solely based on genotypic data using a constructed genomic ...
Xiankang Hu   +8 more
wiley   +1 more source

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