Results 91 to 100 of about 6,988 (214)

Genotype‐by‐environment interaction informs selection for seed physiological quality and stink bug tolerance in soybean under pest management contrasts

Pest Management Science, Volume 82, Issue 9, Page 8530-8544, September 2026.
Genotype‐by‐environment interaction shaped soybean seed stability under contrasting insecticide regimes. Seed longevity emerged as a stable, management‐relevant trait under pest pressure. High‐pressure, no‐insecticide conditions improved discrimination of tolerant genotypes for integrated pest management deployment.
Larissa Chamma, Rômulo Pedro Macêdo Lima, Gustavo Ferreira da Silva, Adriano Abreu Moreira, Thiago Barbosa Batista, Samara Moreira Perissato, José Baldin Pinheiro, Edvaldo Aparecido Amaral da Silva   +7 more
wiley   +1 more source

Modeling spatial trends and selecting tropical wheat genotypes in multi-environment trials

Crop Breeding and Applied Biotechnology
In many cases, traditional analysis of breeding trials based on analysis of variance (ANOVA) do not allow a suitable genetic evaluation. Alternatively, mixed model-based approaches create the possibility of dealing with unbalanced data and modeling ...
Caique Machado e Silva, Victor Silva Signorini, Saulo Fabrício da Silva Chaves, Diana Jhulia Palheta de Souza, Gabriel Wolter Lima, Cleiton Renato Casagrande, Henrique Caletti Mezzomo, João Paulo Oliveira Ribeiro, Maicon Nardino   +8 more
doaj  

Bayesian Implementation of the Factor‐Analytic Mixed Model and Application to Embeddings

Stat, Volume 15, Issue 3, September 2026.
ABSTRACT Mixed models and neural networks each offer complementary frameworks for prediction. Theoretically grounded in inference, mixed models can unveil latent variance structure notably with the factor‐analytic approach. In this article, we propose to bridge the gap between the two frameworks, leveraging embedding data from a neural network encoder ...
Alexandre Marchal, Maxence Lamure, Tanguy Lefort, Frank Imbach   +3 more
wiley   +1 more source

Molecular insights and translational opportunities to enhance heat tolerance in rice

The Plant Genome, Volume 19, Issue 3, September 2026.
Abstract Heat stress is an increasingly serious threat to rice (Oryza sativa L.) productivity, yet the genetic and regulatory architecture underlying thermotolerance remain poorly resolved and fragmented across studies. Earlier research focused on individual pathways or specific developmental stages; however, recent advances now support an integrated ...
Prabhat Rana, Chanderkant Chaudhary, Rajat Pruthi, Mansi Sharma, Bhupinderjeet Singh, Ravi Kiran Reddy Kondi, Mallesham Bulle, Prasanta K. Subudhi   +7 more
wiley   +1 more source

Harnessing exotic germplasm for red clover improvement: Tracking genomic introgression and deploying genomic selection

The Plant Genome, Volume 19, Issue 3, September 2026.
Abstract Red clover (Trifolium pratense L.) is a globally important temperate forage legume. Its symbiosis with soil‐borne rhizobia enables nitrogen fixation, and its ability to produce quality forage under diverse soil conditions enhances pasture productivity, particularly during water deficits.
A. D. Heslop, S. K. Arojju, R. W. Hofmann, J. L. Ford, C. A. Hefer, M. Z. Z. Jahufer, A. C. Larking, W. Hong, T. P. Bilton, R. Ashby, J. O'Connor, A. G. Griffiths   +11 more
wiley   +1 more source

Integrating genomic selection into potato breeding: A comparison of genotyping platforms and cross‐environmental predictions

The Plant Genome, Volume 19, Issue 3, September 2026.
Abstract Genomic selection (GS) is a powerful tool for accelerating genetic gain in potato (Solanum tuberosum L.) breeding, particularly for complex traits. In this study, three practical aspects of GS implementation in a potato breeding program were examined.
Rakshya Dhakal, Marco Antonio Peixoto, Leo Hoffmann Jr, Bonny Michael Oloka, Mark Clough, Gabriel de Siqueira Gesteira, Lincoln Zotarelli, Jeffrey B. Endelman, G. Craig Yencho, Marcio F R Resende   +9 more
wiley   +1 more source

The matrix Handling of BLUE and BLUP in the mixed linear model

Linear Algebra and its Applications, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Integrative genomics and zero‐shot deep learning–based phenotyping reveal the genetic architecture of seed traits in mungbean (Vigna radiata L.)

The Plant Genome, Volume 19, Issue 3, September 2026.
Abstract Improving seed size and weight is a major breeding goal in mungbean (Vigna radiata (L.) R. Wilczek). Improved genomic resources and precision phenotyping may enable more efficient selection for seed trait improvement. In this study, we integrated a deep learning–based segment anything model phenotyping pipeline with genome‐wide association ...
Venkata Naresh Boddepalli, Talukder Zaki Jubery, Steven B. Cannon, Andrew Farmer, Somak Dutta, Baskar Ganapathysubramanian, Arti Singh   +6 more
wiley   +1 more source

Genotype x environment interaction, adaptability and stability of ‘Piel de Sapo’ melon hybrids through mixed models

Crop Breeding and Applied Biotechnology, 2019
The aim of this study was to evaluate the genotypic performance of twelve Piel de Sapo melon hybrids in the Mossoró-Assú agricultural region, state of Rio Grande do Norte, Brazil, using mixed models.
Fernando Antonio Souza de Aragão, Edicleide Macedo da Silva, Elaine Welk Lopes Pereira Nunes, José Maria da Costa, Anânkia de Oliveira Ricarte, Glauber Henrique de Sousa Nunes   +5 more
doaj  

Genetic Parameters and Sex‐Specific Architecture of Observed and Latent Fertility Phenotypes in a Closed Breeding Nucleus of an Arctic Salmonid

Journal of Animal Breeding and Genetics, Volume 143, Issue 5, Page 667-678, September 2026.
ABSTRACT Successful reproduction is a key factor for efficient breeding schemes and sustainable animal farming. Aquaculture breeding programs rely heavily on small fractions of selected breeders to yield large production stocks, given the high fecundity typically observed in these species. In Sweden, Arctic charr (Salvelinus alpinus) is a salmonid with
Fotis Pappas, Martin Johnsson, Paul Vincent Debes, Christos Palaiokostas   +3 more
wiley   +1 more source