Results 101 to 110 of about 26,736 (301)
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 +1 more
wiley +1 more source
Objetivou-se avaliar o coeficiente de endogamia, a fixação de alelos e o limite de seleção em populações selecionadas durante 20 gerações. A seleção foi baseada nos valores genéticos preditos pelo BLUP clássico (BLUP) e pelo BLUP marcadores (BLUPM) e na ...
Paulo Luiz Souza Carneiro +4 more
doaj +1 more source
The Use of BLUP Method in Ram Selection
Bu calisma, Konya Merinos’u kuzularinin sutten kesim agirligi yonunden, damizlik degerlerini BLUP (Best Linear Unbiased Prediction) metodu ile hesaplamak amaciyla yapilmistir. Calismada, 1997-2002 yillari arasinda Konya Hayvancilik Arastirma Enstitusu’nde yetistirilen, 1167 bas Konya Merinosu kuzularina ait kayitlar degerlendirmeye alinmistir.
Karabulut, Osman, Tekin, Mehmet Emin
openaire +3 more sources
Euterpe edulis is an endemic species of the Atlantic Forest that is threatened by the unsustainable exploitation of palm heart. Fruit management is an alternative to overcome this problem, promoting income generation, preserving the trees in forest ...
Marina Santos Carvalho +6 more
semanticscholar +1 more source
Summary Southern leaf blight (SLB), caused by the necrotrophic fungus Cochliobolus heterostrophus, is a major foliar disease of maize (Zea mays) world‐wide. A genome‐wide association study was performed to dissect the genetic basis of SLB resistance in maize. Functional validation was performed using mutant and transgenic analyses.
Tao Zhong +8 more
wiley +1 more source
Statistical inference of the mixed linear model with incorrect stochastic linear restrictions
We considered the general mixed linear model $ \mathscr{N} $ subject to two competing stochastic linear restrictions, $ \mathscr{M}_{0} $ and $ \mathscr{M} $, where the restrictions $ \mathscr{M} $ are the correct information whereas restrictions $ \
Xingwei Ren
doaj +1 more source
Controlling the Overfitting of Heritability in Genomic Selection through Cross Validation. [PDF]
In genomic selection (GS), all the markers across the entire genome are used to conduct marker-assisted selection such that each quantitative trait locus of complex trait is in linkage disequilibrium with at least one marker.
Jia, Zhenyu
core +2 more sources
Improvement of statistical methods is crucial for realizing the potential of increasingly dense genetic markers. Bayesian methods treat all markers as random effects, exhibit an advantage on dense markers, and offer the flexibility of using different ...
Jiabo Wang +8 more
semanticscholar +1 more source
Selection of forage oat genotypes through GGE Biplot and BLUP
In Bolivia, there is a low predominance of forage oat productivity. Therefore, it was proposed to select more productive and stable genotypes through statistical methods of GGE Biplot and BLUP.
F. Santos, Félix Marza
semanticscholar +1 more source
ABSTRACT Quinoa is a grain crop with excellent nutritional properties that has attracted global attention for its potential contribution to future food security in a changing climate. Despite its long history of cultivation, quinoa has been improved little by modern breeding and is a niche crop outside its native cultivation area.
Flavio Lozano‐Isla +3 more
wiley +1 more source

