Results 11 to 20 of about 46,545 (326)

Detecting Frost Stress in Wheat: A Controlled Environment Hyperspectral Study on Wheat Plant Components and Implications for Multispectral Field Sensing

open access: yesRemote Sensing, 2020
Radiant frost during the reproductive stage of plant growth can result in considerable wheat (Triticum aestivum L.) yield loss. Much effort has been spent to prevent and manage these losses, including post-frost remote sensing of damage.
Mary E. Murphy   +3 more
doaj   +1 more source

Heritability estimated by different methods in four generations of progenies from a pigeon pea cross

open access: yesPesquisa Agropecuária Brasileira, 2022
The objective of this work was to compare different methods to estimate heritability in 30 pigeon pea families from the F3, F4, F5, and F6 generations, for nine variables.
Antonio Elton da Silva Costa   +1 more
doaj   +1 more source

Estimation of variance components of milk, fat, and protein yields of Tunisian Holstein dairy cattle using Bayesian and REML methods [PDF]

open access: yesArchives Animal Breeding, 2016
A multi-trait repeatability animal model under restricted maximum likelihood (REML) and Bayesian methods was used to estimate genetic parameters of milk, fat, and protein yields in Tunisian Holstein cows.
H. Ben Zaabza   +4 more
doaj   +1 more source

Relationships among tissues, biofluids, and otolith selenium concentrations in wild female burbot (Lota lota)

open access: yesIntegrated Environmental Assessment and Management, EarlyView., 2023
Abstract In the Lake Koocanusa‐Kootenai River system (Montana, USA and British Columbia, Canada), selenium (Se) contamination has become an international concern and is suspected to contribute to the observed burbot (Lota lota) population collapse. Due to our limited ability to sample burbot in Lake Koocanusa for monitoring studies, we used a reference
Stephanie D. Graves   +6 more
wiley   +1 more source

Linear and linear-threshold model for genetic parameters for SEUROP carcass traits in Czech beef cattle

open access: yesCzech Journal of Animal Science, 2011
The objective of this study was to estimate genetic parameters for the results of classifying of carcass traits by the SEUROP method in beef cattle in the Czech Republic using linear and linear-threshold models.
Z. Veselá, L. Vostrý, P. Šafus
doaj   +1 more source

QTL mapping for production traits in Czech Fleckvieh cattle

open access: yesCzech Journal of Animal Science, 2013
The objective of this study was to find QTL for milk production traits in Czech Fleckvieh cattle on chromosomes 6, 7, 11, 14, and 23 where QTL were previously identified in other dairy cattle populations.
J. Matějíčková   +9 more
doaj   +1 more source

Professor Endrenyi’s Legacy: An Evaluation of the Regulatory Requirement “Fixed Effects, Rather Than Random Effects, Should Be Used for All Terms”

open access: yesJournal of Pharmacy & Pharmaceutical Sciences, 2021
Purpose: In the latest revision of the guideline for evaluation of bioequivalence (BE), European regulators introduced the requirement for using subjects as fixed factors in the underlying statistical models, even in replicate and semi-replicate studies.
Anders Fuglsang
doaj   +1 more source

The Asymptotic Distribution of REML Estimators

open access: yesJournal of Multivariate Analysis, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cressie, Noel A, Lahiri, S
openaire   +3 more sources

Selection of a suitable definition of environment for the estimation of genotype × environment interaction in the weaning weight of beef cattle

open access: yesCzech Journal of Animal Science, 2008
Genotype by environment interactions for weaning weight in beef cattle were tested using several definitions of environments. Four breeds of beef cattle (Hereford, Aberdeen Angus, Beef Simmental, and Charolais) were represented.
L. Vostrý   +4 more
doaj   +1 more source

Binary and Ordinal Random Effects Models Including Variable Selection [PDF]

open access: yes, 2010
A likelihood-based boosting approach for fitting binary and ordinal mixed models is presented. In contrast to common procedures it can be used in high-dimensional settings where a large number of potentially influential explanatory variables is available.
Groll, Andreas, Tutz, Gerhard
core   +1 more source

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