[HTML][HTML] Genomic prediction of wheat grain yield using machine learning

MS Sirsat, PR Oblessuc, RS Ramiro - Agriculture, 2022 - mdpi.com
Genomic Prediction (GP) is a powerful approach for inferring complex phenotypes from
genetic markers. GP is critical for improving grain yield, particularly for staple crops such as …

[HTML][HTML] Genome-wide genotyping data renew knowledge on genetic diversity of a worldwide alfalfa collection and give insights on genetic control of phenology traits

M Pégard, P Barre, S Delaunay, F Surault… - Frontiers in Plant …, 2023 - frontiersin.org
China's and Europe's dependence on imported protein is a threat to the food self-sufficiency
of these regions. It could be solved by growing more legumes, including alfalfa that is the …

Genetic mapping of drought tolerance traits phenotyped under varying drought stress environments in peanut (Arachis hypogaea L.)

S Ghosh, SS Mahadevaiah, SA Gowda, SS Gangurde… - Euphytica, 2022 - Springer
Genomic regions governing water deficit stress tolerance were identified in peanut using a
recombinant inbred line (RIL) population derived from an elite variety TMV 2 and its narrow …

Evaluation of eight Bayesian genomic prediction models for three micronutrient traits in bread wheat (Triticum aestivum L.)

PK Meher, A Gupta, S Rustgi, RR Mir… - The Plant …, 2023 - Wiley Online Library
In wheat, genomic prediction accuracy (GPA) was assessed for three micronutrient traits
(grain iron, grain zinc, and β‐carotenoid concentrations) using eight Bayesian regression …

[HTML][HTML] Multi-faceted approaches for breeding nutrient-dense, disease-resistant, and climate-resilient crop varieties for food and nutritional security

RR Mir, S Rustgi, YM Zhang, C Xu - Heredity, 2022 - nature.com
The world population will surpass nine billion by 2050; hence the yield of primary staple
crops must increase to feed the growing world population (Tilman et al. 2011; Ray et al …

[HTML][HTML] 基于多层感知机的绵羊限性性状基因组选择模拟研究

王万年, 陈思佳, 郜金荣, 温中豪, 袁梦娇, 张洪志… - 畜牧兽医学报, 2023 - html.rhhz.net
旨在将多层感知机(multilayer perceptron, MLP) 应用于绵羊限性性状基因组选择中,
并在多种情况下与其他经典基因组选择方法进行比较分析. 本研究利用Qmsim 软件模拟2 …

[HTML][HTML] Genetic gain and inbreeding from simulation of different genomic mating schemes for pig improvement

F Zhao, P Zhang, X Wang, D Akdemir, D Garrick… - Journal of Animal …, 2023 - Springer
Background Genomic selection involves choosing as parents those elite individuals with the
higher genomic estimated breeding values (GEBV) to accelerate the speed of genetic …

High-throughput field phenotyping reveals that selection in breeding has affected the phenology and temperature response of wheat in the stem elongation phase

L Roth, L Kronenberg, H Aasen, A Walter… - Journal of …, 2024 - academic.oup.com
Crop growth and phenology are driven by seasonal changes in environmental variables,
with temperature as one important factor. However, knowledge about genotype-specific …

[HTML][HTML] Genomic Predictions in Korean Hanwoo Cows: A Comparative Analysis of Genomic BLUP and Bayesian Methods for Reproductive Traits

MA Haque, YM Lee, JJ Ha, S Jin, B Park, NY Kim… - Animals, 2023 - mdpi.com
Simple Summary Historically, Korea has been an agrarian society where cattle played a
significant role in Korean culture as working animals. However, in recent decades, there has …

Genome-enabled prediction of indicator traits of resistance to gastrointestinal nematodes in sheep using parametric models and artificial neural networks

LA Freitas, RP Savegnago, AAC Alves… - Research in Veterinary …, 2024 - Elsevier
This study aimed to assess the predictive ability of parametric models and artificial neural
network method for genomic prediction of the following indicator traits of resistance to …