AIMC Topic: Edible Grain
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Artificial intelligence in the selection of common bean genotypes with high phenotypic stability.
Genetics and molecular research : GMR
Apr 28, 2016
Artificial neural networks have been used for various purposes in plant breeding, including use in the investigation of genotype x environment interactions. The aim of this study was to use artificial neural networks in the selection of common bean g...
Enhancing prediction accuracy of key biomass partitioning traits in wheat using multi-kernel genomic prediction models integrating secondary traits and environmental covariates.
The plant genome
Jun 1, 2025
Achieving significant genetic gains in grain yield (GY) in wheat (Triticum aestivum L.) requires optimization of the key biomass partitioning traits such as spike partitioning index (SPI) and fruiting efficiency (FE). However, traditional manual phen...
[Grain yield estimation of wheat-maize rotation cultivated land based on Sentinel-2 multi-spectral image: A case study in Caoxian County, Shandong, China].
Ying yong sheng tai xue bao = The journal of applied ecology
Dec 1, 2023
Establishing the remote sensing yield estimation model of wheat-maize rotation cultivated land can timely and accurately estimate the comprehensive grain yield. Taking the winter wheat-summer maize rotation cultivated land in Caoxian County, Shandong...
Multi-modal deep learning improves grain yield prediction in wheat breeding by fusing genomics and phenomics.
Bioinformatics (Oxford, England)
Jun 1, 2023
MOTIVATION: Developing new crop varieties with superior performance is highly important to ensure robust and sustainable global food security. The speed of variety development is limited by long field cycles and advanced generation selections in plan...
[Development of an HPLC-UV Method for Free Asparagine in Grains].
Shokuhin eiseigaku zasshi. Journal of the Food Hygienic Society of Japan
Jan 1, 2017
A novel analytical method was developed for the determination of free asparagine (Asn), which is a precursor of acrylamide, in grains. Asn was extracted from a sample with 5% (w/v) aqueous trichloroacetic acid solution, and the crude extract was clea...
[Immunochromatographic Test System for the Detection of T-2 Toxin].
Prikladnaia biokhimiia i mikrobiologiia
Jan 1, 2015
An immunochromatographic test system was developed for the detection of T-2 toxin (T2T), which is one of priority contaminants of cereals. The detection is based on the competition between T2T in the sample and the T2T-protein conjugate immobilized o...
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