Results 161 to 170 of about 10,959 (264)

Analyzing Non‐Random Selectivity in Online Job Advertisements Using Eurostat Benchmark Data and Generalized Sample Selection Models: An Application to EU Regional Labor Markets

LABOUR, Volume 40, Issue 2, Page 131-161, June 2026.
ABSTRACT The present paper provides an overall framework to afford the problem of non‐representativeness and non‐random selectivity arising from online job ads data, using Generalized sample selection models and Eurostat benchmark data. We jointly model the outcome intensity (number of online job ads in observed profiles, whose levels are defined by ...
Pietro Giorgio Lovaglio, Mario Mezzanzanica   +1 more
wiley   +1 more source

Constitutive and inducible oleoresin defenses share genetic architectures and mechanisms in Pinus taeda

New Phytologist, Volume 250, Issue 5, Page 2966-2987, June 2026.
Summary The oleoresin defense system of loblolly pine (Pinus taeda) protects trees from insects and pathogens and is an important source of renewable biofuels and chemicals, but the genetic basis of oleoresin production is poorly understood. We characterized the genetic architecture of oleoresin flow, resin canal number, stem wood terpene content, and ...
Mallory M. Morgan, Jared Westbrook, Christopher Dervinis, Tania Quesada, Salvador Gezan, Robert Sykes, Timothy S. Johnson, Gabriela Madrid, Matthew Lane, Alice Townsend, Thomas A. Colquhoun, John M. Davis, Daniel Jacobson, Gary F. Peter   +13 more
wiley   +1 more source

Blup... Blup... Blup... : Archéologie des lacs et des rivières

Nordoc'Archéo, 2017
openaire   +2 more sources

Identification of QTL associated with pod number in soybean. [PDF]

Front Genet
Xiong Y, Yu H, Mao A, Jadoon S, Liu Z, Liu K, Zhang Z, Chen Y, Gyebi-Nimako B, Qiu L, Wang J.   +10 more
europepmc   +1 more source

Cow evaluation with blup

Genetics Selection Evolution, 1980
openaire   +4 more sources

Repeatability, Genetic Variability and Importance of Forage Traits in Ecotypes of Brunswickgrass (Paspalum nicorae Parodi) via BLUP

Plant Breeding, Volume 145, Issue 3, Page 561-574, June 2026.
ABSTRACT This study estimated the repeatability of forage traits in 84 Paspalum nicorae ecotypes using six statistical methods and quantified the minimum number of harvests needed for effective selection. Multivariate analyses based on best linear unbiased prediction (BLUP) values were also performed to assess genetic variability, identify key traits ...
Diógenes Cecchin Silveira, Annamaria Mills, Cosme Damião Cruz, Júlio Antoniolli, Carolina Zambrano Bonotto, Victor Schneider de Ávila, Roberto Luis Weiler, André Pich Brunes, Carine Simioni, Miguel Dall'Agnol   +9 more
wiley   +1 more source

GWAS-Guided Compact SNP Panels Enable Breeding-Relevant Prediction of Bolting and Flowering Timing of Lettuce. [PDF]

Plants (Basel)
Son KS, Kim KM, Kim D, Lee HY, Hong SY, Kim SH, Jang SW, Park J, Kim TS.   +8 more
europepmc   +1 more source

Using Stochastic Simulations to Shed Light on How to Deploy Speed Breeding and Genomic Selection in Self‐Pollinated Recurrent Breeding Programs

Plant Breeding, Volume 145, Issue 3, Page 625-636, June 2026.
ABSTRACT Speed breeding can shorten breeding cycles and, when combined with genomic selection, can accelerate genetic gain. Yet it remains unclear how different integration strategies affect long‐term response, genetic variance and cost‐efficiency in small public programs.
Jesimiel da Silva Viana, Júlio César DoVale, Roberto Fritsche‐Neto   +2 more
wiley   +1 more source

Reliable enteric methane prediction from the cattle (Bos taurus) rumen microbiome. [PDF]

Commun Biol
Sepulveda BJ, González-Recio O, Chamberlain AJ, Xiang R, Cocks BG, Wang J, Prowse-Wilkins CP, Marett LC, Williams SRO, Jacobs JL, García-Rodríguez A, Jiménez-Montero JA, Pryce JE.   +12 more
europepmc   +1 more source

Dimension reduction for optimal design problems with Kronecker product structure

Scandinavian Journal of Statistics, Volume 53, Issue 2, Page 763-797, June 2026.
Abstract This paper is motivated by the problem of optimal allocation of trials in multi‐environment crop variety testing with a large number of varieties. Optimizing the allocation of trials results in the minimization of a design criterion with a Kronecker product structure in the information matrix.
Taras Bodnar, Maryna Prus
wiley   +1 more source