Results 61 to 70 of about 6,988 (214)

Screening for Fall Armyworm (Spodoptera frugiperda J. E. Smith) Resistance in Early‐Maturing Tropical Maize Adapted to Sub‐Saharan Africa

Plant Breeding, EarlyView.
ABSTRACT Fall armyworm (FAW) (Spodoptera frugiperda J. E. Smith) has emerged as a serious pest since 2016 in Africa, affecting the food security and livelihoods of millions of smallholder farmers, especially those growing maize. Native genetic resistance to FAW is essential for reducing yield loss.
Adamu Masari Abubakar, Idris Ishola Adejumobi, Muhyideen Oyekunle, Tegawende Odette Bonkoungou, Usman Muhammad, Onehireba Udah, Baffour Badu‐Apraku   +6 more
wiley   +1 more source

Unknown parent groups and truncated pedigree in single-step genomic evaluations of Murrah buffaloes

Journal of Dairy Science
: Missing pedigrees may produce bias in genomic evaluations. Thus, strategies to deal with this problem have been proposed as using unknown parent groups (UPG) or truncated pedigrees.
T.P. Melo, A.K. Zwirtes, A.A. Silva, S.F. Lázaro, H.R. Oliveira, K.R. Silveira, J.C.G. Santos, W.B.F. Andrade, S. Kluska, L.A. Evangelho, H.N. Oliveira, H. Tonhati   +11 more
doaj   +1 more source

Using genealogy to improve selection efficiency of pedigree method Emprego da genealogia para melhorar eficiência seletiva no método pedigree

Scientia Agricola, 2008
In the pedigree method of conducting an autogamous population of segregating plants, the genealogy of the progenies is registered. Although labor-intensive, these data are rarely used.
José Airton Rodrigues Nunes, Alexsander Luís Moreto, Magno Antonio Patto Ramalho   +2 more
doaj   +1 more source

Enhancing Genome-Enabled Prediction by Bagging Genomic BLUP

PLoS ONE, 2014
We examined whether or not the predictive ability of genomic best linear unbiased prediction (GBLUP) could be improved via a resampling method used in machine learning: bootstrap aggregating sampling ("bagging"). In theory, bagging can be useful when the predictor has large variance or when the number of markers is much larger than sample size ...
Gianola D, Weigel KA, Kramer N, Stella A, Schon CC   +4 more
openaire   +4 more sources

Evaluation of Deviation‐Type Indices for the Joint Selection of Yield and Seed Composition Traits in Soybean (Glycine max (L.) Merr.)

Plant Breeding, EarlyView.
ABSTRACT Seed yield and composition are major targets in soybean (Glycine max (L.) Merr.) breeding programmes, but simultaneous improvement is constrained by unfavourable correlations among target traits. In this study, we evaluated the potential of different selection indices to simultaneously improve seed yield and quality traits in soybean.
Vincent Braun, Clemens Hacke, Tobias Würschum, Karl Schmid, Volker Hahn, Patrick Thorwarth   +5 more
wiley   +1 more source

Selection of Apple Trees (Malus domestica Borkh.) Based on Genetic Parameters Estimated Through Mixed Models

Plant Breeding, EarlyView.
ABSTRACT In Brazilian apple breeding (Malus domestica Borkh.), Active Germplasm Banks are providing the genetic diversity required for selecting genotypes with low chilling requirements, high yield and superior fruit quality. This study estimated genetic parameters and perform genotype selection based on phenotypic traits from the IDR‐Paraná breeding ...
Alexandre Friedrich Ribas, Idemir Citadin, Clandio Medeiros da Silva, Paulo Mauricio Centenaro Bueno, Moeses Andrigo Danner   +4 more
wiley   +1 more source

Simultaneous fitting of genomic-BLUP and Bayes-C components in a genomic prediction model

Genetics Selection Evolution, 2017
Background The rapid adoption of genomic selection is due to two key factors: availability of both high-throughput dense genotyping and statistical methods to estimate and predict breeding values.
Oscar O. M. Iheshiulor, John A. Woolliams, Morten Svendsen, Trygve Solberg, Theo H. E. Meuwissen   +4 more
doaj   +1 more source

Enhancing Predictive Ability of Agronomic and Quality Traits in Ethiopian Malting Barley (Hordeum vulgare L.) Using Spectral Variable Selection Methods

Plant Breeding, EarlyView.
ABSTRACT Phenomic selection (PS) offers a cost‐effective, breeder‐friendly approach for public breeding programmes with limited access to genotyping or restricted financial resources for laboratory infrastructure. Since PS relies on high‐throughput phenotyping data, which is often derived from near‐infrared spectroscopy (NIRS) of harvested seeds ...
Tigist Tadesse, Peer Wilde, Wondimu Ejerso, Dorothea Borchardt, Patrick Thorwarth, Thomas Miedaner   +5 more
wiley   +1 more source

The BLUP method in evaluation of breeding values of Russian spring wheat lines using micro- and macroelements in seeds

Вавиловский журнал генетики и селекции
Genomic selection is a technology that allows for the determination of the genetic value of varieties of agricultural plants and animal breeds, based on information about genotypes and phenotypes. The measured breeding value (BV) for varieties and breeds
N. A. Potapova, A. S. Zlobin, I. N. Leonova, E. A. Salina, Y. A. Tsepilov   +4 more
doaj   +1 more source

Some remarks on a pair of seemingly unrelated regression models

Open Mathematics, 2019
Linear regression models are foundation of current statistical theory and have been a prominent object of study in statistical data analysis and inference.
Hou Jian, Zhao Yong
doaj   +1 more source