Using advanced proximal sensing and genotyping tools combined with bigdata analysis methods to improve soybean yield
M Yoosefzadeh Najafabadi - 2021 - atrium.lib.uoguelph.ca
Improving yield potential in major food-grade crops such as soybean (Glycine max L.) is the
most sustainable way to address the growing global food demand and its security concerns …
most sustainable way to address the growing global food demand and its security concerns …
[HTML][HTML] Using hybrid artificial intelligence and evolutionary optimization algorithms for estimating soybean yield and fresh biomass using hyperspectral vegetation …
Recent advanced high-throughput field phenotyping combined with sophisticated big data
analysis methods have provided plant breeders with unprecedented tools for a better …
analysis methods have provided plant breeders with unprecedented tools for a better …
[HTML][HTML] Genome-wide association studies of soybean yield-related hyperspectral reflectance bands using machine learning-mediated data integration methods
M Yoosefzadeh-Najafabadi, S Torabi… - Frontiers in plant …, 2021 - frontiersin.org
In conjunction with big data analysis methods, plant omics technologies have provided
scientists with cost-effective and promising tools for discovering genetic architectures of …
scientists with cost-effective and promising tools for discovering genetic architectures of …
[HTML][HTML] Application of machine learning algorithms in plant breeding: predicting yield from hyperspectral reflectance in soybean
Recent substantial advances in high-throughput field phenotyping have provided plant
breeders with affordable and efficient tools for evaluating a large number of genotypes for …
breeders with affordable and efficient tools for evaluating a large number of genotypes for …
The use of hyperspectral proximal sensing for phenotyping of plant breeding trials
Global food production needs to increase by more than 60% from 2015 to 2050 to meet the
projected demand. At the same time, yield advances have slowed at both a production and a …
projected demand. At the same time, yield advances have slowed at both a production and a …
[HTML][HTML] Machine-learning-based genome-wide association studies for uncovering QTL underlying soybean yield and its components
M Yoosefzadeh-Najafabadi, M Eskandari… - International Journal of …, 2022 - mdpi.com
A genome-wide association study (GWAS) is currently one of the most recommended
approaches for discovering marker-trait associations (MTAs) for complex traits in plant …
approaches for discovering marker-trait associations (MTAs) for complex traits in plant …
[HTML][HTML] Application of machine learning and genetic optimization algorithms for modeling and optimizing soybean yield using its component traits
Improving genetic yield potential in major food grade crops such as soybean (Glycine max
L.) is the most sustainable way to address the growing global food demand and its security …
L.) is the most sustainable way to address the growing global food demand and its security …
[HTML][HTML] Combining novel feature selection strategy and hyperspectral vegetation indices to predict crop yield
S Fei, L Li, Z Han, Z Chen, Y Xiao - Plant Methods, 2022 - Springer
Background Wheat is an important food crop globally, and timely prediction of wheat yield in
breeding efforts can improve selection efficiency. Traditional yield prediction method based …
breeding efforts can improve selection efficiency. Traditional yield prediction method based …
Multi-omics assists genomic prediction of maize yield with machine learning approaches
C Wu, J Luo, Y Xiao - Molecular Breeding, 2024 - Springer
With the improvement of high-throughput technologies in recent years, large multi-
dimensional plant omics data have been produced, and big-data-driven yield prediction …
dimensional plant omics data have been produced, and big-data-driven yield prediction …
Estimation of soybean yield based on high-throughput phenotyping and machine learning
X Li, M Chen, S He, X Xu, L He, L Wang… - Frontiers in Plant …, 2024 - frontiersin.org
Introduction Soybeans are an important crop used for food, oil, and feed. However, China's
soybean self-sufficiency is highly inadequate, with an annual import volume exceeding 80 …
soybean self-sufficiency is highly inadequate, with an annual import volume exceeding 80 …