Results 81 to 90 of about 10,959 (264)

A High‐Throughput Phenotyping Pipeline for Quinoa (Chenopodium quinoa) Panicles Using Image Analysis With Convolutional Neural Networks

Plant Breeding, EarlyView.
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, Lydia Kienbaum, Bettina I. G. Haussmann, Karl Schmid   +3 more
wiley   +1 more source

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

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

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

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

Phenotypic scoring of canola blackleg severity using machine learning image analysis

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Canola blackleg is a fungal disease that causes significant yield loss and plant death of infected canola (Brassica napus L., Brassica rapa L., Brassica juncea L.) fields worldwide. One of the most effective methods for controlling blackleg is through the cultivation of resistant varieties.
Qiao Hu, Sarah Anderson, Stuart Gardner, Thomas W. Ernst, Chadwick B. Koscielny, Navratan S. Bahia, Charles G. Johnson Jr, Andrew C. Jarvis, Joseph S. Hynek, Nathan Coles, Igor Falak, David R. Charne, Manuel E. Ruidiaz, Julien Linares, Anastasios Mazis, Daniel J. Stanton   +15 more
wiley   +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

Microevolutionary system identification and climate response predictions by use of BLUP prediction error method

, 2023
Animals and other organisms in wild populations may adjust to climate change by means of plasticity and evolution, and it is an important task to find the contributions from each of these effects.
Ergon, Rolf
core   +1 more source

High‐throughput phenotyping for the prediction and quantification of flower‐related traits in sugarcane

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Sugarcane (Saccharum spp.), a C4 plant, is a vital renewable biofuel and sugar source for industries worldwide. However, synchronizing flowering between parental lines often poses challenges for breeders, hindering effective crossbreeding efforts.
Paulo H. da Silva Santos, João R. Vieira Manechini, Carlos Augusto Dias Kanthack Jr., Mauro Alexandre Xavier, Samira Domingues Carlin, Dilermando Perecin, Thiago G. Marconi, Leandro G. Marconi, Elisson Antonio da Costa Romanel, Stephen Derek Jackson, Marcos. G. A. Landell, Luciana R. Pinto   +11 more
wiley   +1 more source