Non-linear kernels boost soybean genomic prediction while keeping the math breeders trust
A new study shows that non-linear kernel methods consistently match or outperform the standard linear model for predicting soybean yield, ...
Tag: multi-environment trials
Neural Networks Learn to Spot Champion Bean Varieties Before Farmers Do
Brazilian researchers trained artificial neural networks on phenotypic data to classify common bean genotypes by grain yield, achieving 70 percent ...
Rice Genotypes Ranked for Stability Across India’s Himalayan Hill Farms
A five-year, five-location trial across India's Himalayan hill states used AMMI, GGE biplot, and BLUP analyses to identify high-yielding, stable ...
Scientists Map How Environment Shapes the Medicinal Power of Kalmegh
A multi-location Indian trial of twenty-three kalmegh genotypes has used AMMI and GGE biplot analysis to identify stable lines for ...
Two Standout Maize Hybrids Emerge From Pakistan’s Multi-Site Stability Trials
A two-year, eight-location trial across Pakistan identified two high-yielding, stable maize hybrids using AMMI and GGE biplot analyses of genotype-by-environment ...
New Rice Varieties Show Stable, High Yields Across Assam’s Flood-Prone Landscapes
A three-year, 21-environment trial across Assam has identified the most stable and specifically adapted rice varieties using WAASB and GGE ...
Statistical Model Powers Release of New High-Yield Wheat Variety in Ethiopia
Ethiopian researchers used linear mixed models and factor analytic statistics to analyze 22 multi-environment wheat trials involving 1,035 genotypes, identifying ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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