Results 41 to 50 of about 1,829 (130)

Insights into biomass accumulation and challenges in grain yield prediction of elite breeding materials using UAV‐based vegetation indices in soft red winter wheat

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract High‐throughput phenotyping (HTP) techniques have brought new opportunities to understand and evaluate key traits in plant breeding programs. Combining multiple measures through time and random regression models permits a more comprehensive understanding of the genetic and environmental effects on trait expression over time. This study aims to
Felipe Sabadin, Amelia Loeb, Francis Reith, Alexis Perry, Sunilda Frias, Demetrius Ragland, Limei Liu, Wynse Brooks, Ranjita Thapa, Julie Hansen, Christopher Pierce, Virginia M. Moore, Gina Brown‐Guedira, Ian Ray, Michael A. Gore, Kelly Robbins, Nicholas Santantonio   +16 more
wiley   +1 more source

Artificial Neural Networks in the Prediction of Genetic Merit to Flowering Traits in Bean Cultivars

Agriculture, 2020
Flowering is an important agronomic trait that presents non-additive gene action. Genome-enabled prediction allow incorporating molecular information into the prediction of individual genetic merit.
Renato Domiciano Silva Rosado, Cosme Damião Cruz, Leiri Daiane Barili, José Eustáquio de Souza Carneiro, Pedro Crescêncio Souza Carneiro, Vinicius Quintão Carneiro, Jackson Tavela da Silva, Moyses Nascimento   +7 more
doaj   +1 more source

Combining phenomic and genomic selection for pea breeding improvement

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Pea (Pisum sativum L.) is a strategic crop in the development of sustainable agriculture. However, the genetic gain remains limited despite advances in breeding. Genomic selection holds promise to accelerate varietal improvement, but its high implementation cost restricts its use in crops.
Anthony Klein, Virgilio Freitas, Abdou Wade, Grégoire Aubert, Myriam Naudet‐Huart, Michael Touratier, Jennifer Régulier, Jean‐François Herbommez, Catherine Kraut, Guillaume Roullet, Aude Carlier‐Lézie, Nadim Tayeh, Renaud Rincent, Philippe Dufour, Judith Burstin, Gaëtan Touzy   +15 more
wiley   +1 more source

A Study of Genomic Prediction of 12 Important Traits in the Domesticated Yak (Bos grunniens)

Animals, 2019
The aim of this study was to explore the possibility of applying GP to important economic traits in the domesticated yak, thus providing theoretical support for its molecular breeding. A reference population was constructed consisting of 354 polled yaks,
Donghai Fu, Xiaoming Ma, Congjun Jia, Min Chu, Qinhui Lei, Zhiping Wen, Xiaoyun Wu, Jie Pei, Pengjia Bao, Xuezhi Ding, Xian Guo, Ping Yan, Chunnian Liang   +12 more
doaj   +1 more source

Genomic and phenomic prediction models improve selection accuracy for complex traits in alfalfa

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Predictive breeding has been proposed as an effective approach to accelerate genetic gain for complex traits. Genomic prediction (GP) models have been developed in alfalfa (Medicago sativa L.) for key traits in the last decade. More recently, phenomic prediction (PP) models have been proposed as a low‐cost, high‐throughput alternative to GP in
Pablo Sipowicz, Ayush K. Sharma, Mario H. Andrade, Claudio C. Fernandes Filho, L. Felipe V. Ferrão, Aditya Singh, Anju Biswas, Charlie Messina, Esteban Rios   +8 more
wiley   +1 more source

Modeling missing pedigree with metafounders and validating single-step genomic predictions in a small dairy cattle population with a great influence of foreign genetics

Journal of Dairy Science
: Genetic improvement in small countries rely heavily on foreign genetics. In an importing country such as Uruguay, consideration of unknown parent groups (UPG) for foreign sires is essential. However, the use of UPG in genomic model evaluations may lead
R.D. López-Correa, A. Legarra, I. Aguilar   +2 more
doaj   +1 more source

Genomic prediction of bone strength in laying hens using different sources of information

Animal
Bone damage in laying hens remains a significant welfare concern in the egg industry. Breeding companies rely on selective cross-breeding of purebred birds to produce commercial hybrids, which farmers raise for table-egg production. Genomic prediction is
M. Sallam, H. Wall, P.W. Wilson, B. Andersson, M. Schmutz, C. Benavides, M. Checa, E. Sanchez‑Rodriguez, A.B. Rodriguez‑Navarro, A. Kindmark, I.C. Dunn, D‑J. de Koning, M. Johnsson   +12 more
doaj   +1 more source

Genomic Prediction of Growth Traits in Yorkshire Pigs of Different Reference Group Sizes Using Different Estimated Breeding Value Models

Animals
The need for sufficient reference population data poses a significant challenge in breeding programs aimed at improving pig farming on a small to medium scale.
Chang Yin, Haoran Shi, Peng Zhou, Yuwei Wang, Xuzhe Tao, Zongjun Yin, Xiaodong Zhang, Yang Liu   +7 more
doaj   +1 more source

Genetic control underlying dynamics of blueberry bioactive compounds during postharvest can drive breeding for functional fruits

The Plant Genome, Volume 19, Issue 4, December 2026.
Abstract Blueberries (Vaccinium spp.) are widely recognized as a superfruit due to their high content health‐promoting bioactive compounds, including flavonoids and phenolic acids. While these metabolites provide significant health benefits, their postharvest stability and implications for shelf life are not well characterized, a fact that is essential
Estefania Tavares Flores, Gonzalo Casorzo, Paul Adunola, Renee Strauch, Mary Grace, Mary Ann Lila, Camila F. Azevedo, Luis Felipe Ferrão, Patricio R. Munoz   +8 more
wiley   +1 more source

Implementation of Metafounders in the Genomic Prediction for the Polled Trait in Brahman Cattle Using a Multi‐Breed Population

Animal Genetics, Volume 57, Issue 5, October 2026.
ABSTRACT The absence of horns (polled trait) in cattle is associated with better animal welfare by reducing the need for dehorning. In Brahman cattle, population size and the scarcity of phenotypic records challenge the accuracy of genomic predictions for this trait.
Lanna Maryana Costa Pereira, Fernando Baldi, Ludmilla Costa Brunes, Luís Camaripano, Cláudio Ulhôa Magnabosco   +4 more
wiley   +1 more source