Results 141 to 150 of about 10,959 (264)

Ganho genético avaliado com índices de seleção e com REML/Blup em milho‑pipoca

open access: yes, 2014
The objective of this work was to compare four selection indices and the REML/Blup method in the evaluation of the predicted genetic gains for the characteristics of interest to the breeding program of the UENF 14 popcorn.
Amaral Junior, Antonio Teixeira do   +6 more
core   +1 more source

Seleção via BLUP individual simulado baseado nos efeitos genotípicos de famílias em cana-de-açúcar

open access: yes, 2006
The objective of this work was to propose a new selection strategy for the initial stages of sugarcane improvement, based on the methodology \u27simulated individual BLUP (BLUPIS)\u27, which promotes a dynamic allocation of individuals selected in each ...
Barbosa, Márcio Henrique Pereira   +1 more
core   +1 more source

Improving genomic prediction in wheat with random regression models with genotype‐specific phenology‐driven environmental covariates

open access: yesThe Plant Genome, Volume 19, Issue 2, June 2026.
Abstract Wheat (Triticum aestivum L.), a crucial cereal crop for global food security, faces growing challenges from climate change. Future production requires varieties that are resilient to environmental extremes and fluctuations. The goal of this study was to assess strategies to increase selection response through genomic selection in wheat by ...
Rishap Dhakal   +9 more
wiley   +1 more source

Efeito da seleção errônea de machos sobre ganhos genéticos, utilizando-se simulação Effect of errors in the selection of males on the genetic gain using simulation

open access: yesRevista Brasileira de Zootecnia, 1999
Populações simuladas foram usadas para verificar o efeito de erros na seleção de machos sobre estimativas de ganhos genéticos, ao longo de dez gerações de seleção, usando o BLUP.
Paulo Luiz Souza Carneiro   +6 more
doaj  

Expanding the BLUP alphabet for genomic prediction adaptable to the genetic architectures of complex traits

open access: yes, 2018
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 ...
Zhang, Zhe   +17 more
core   +1 more source

Genome‐wide association studies of a pea germplasm reveal novel markers and candidate genes implicated in resistance to Fusarium oxysporum f. sp. pisi races 1 and 2

open access: yesThe Plant Genome, Volume 19, Issue 2, June 2026.
Abstract Pea (Pisum sativum L.) is an essential legume crop cultivated globally as food and feed. However, its production is greatly constrained by Fusarium oxysporum f. sp. pisi (Fop). Breeding for resistance is the most efficient management strategy, but the genetic foundation of Fop resistance remains unclear.
Osman Zakaria Wohor   +2 more
wiley   +1 more source

Best linear unbiased prediction (BLUP) multi-trait in recurrent selection of annual plants

open access: yes, 2009
A metodologia BLUP, que é amplamente utilizada na avaliação genética animal e florestal também pode ser aplicada no melhoramento de culturas anuais. O objetivo deste estudo foi comparar a acurácia e a eficiência da seleção entre e dentro de famílias de ...
Sobreira, Fábio Moreira
core  

Genome‐wide association studies reveal environment‐dependent genetic associations for plant architecture in regional soybean germplasm

open access: yesThe Plant Genome, Volume 19, Issue 2, June 2026.
Abstract Regional soybean (Glycine max (L.) Merr.) breeding has produced germplasm adapted to different growing seasons, but the transferability of genetic associations associated with plant architecture across populations remains unclear. We performed genome‐wide association studies (GWASs) for plant height and main stem node number in 520 soybean ...
Pengshuo Shen   +10 more
wiley   +1 more source

Genome‐wide association and genomic prediction of anthracnose (Colletotrichum dematium) resistance in spinach

open access: yesThe Plant Genome, Volume 19, Issue 2, June 2026.
Abstract Anthracnose, caused by Colletotrichum dematium, has emerged as a major foliar disease that threatens spinach (Spinacia oleracea L.) production. In this study, a diverse panel of 266 accessions was evaluated under field conditions to dissect the genetic architecture of anthracnose resistance.
Raja Sekhar Srungarapu   +2 more
wiley   +1 more source

Application of deep learning in crop research: From genomics to phenomics

open access: yesThe Plant Genome, Volume 19, Issue 2, June 2026.
Abstract Deep learning, as a pivotal branch of machine learning, has demonstrated remarkable potential in advancing crop science by effectively integrating genomics and phenomics. This review systematically outlines the application of diverse deep learning architectures—such as convolutional neural networks, recurrent neural networks, and transformers ...
Zefeng Wu   +9 more
wiley   +1 more source

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