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Milad Eskandari
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Milad Eskandari
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Milad Eskandari
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1
Using Hybrid Artificial Intelligence and Evolutionary Optimization Algorithms for Estimating Soybean Yield and Fresh Biomass Using Hyperspectral Vegetation Indices
by
Mohsen Yoosefzadeh-Najafabadi
,
Dan Tulpan
,
Milad
Eskandari
Published 2021-06-01
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Article
2
Genome-wide association identifies several QTLs controlling cysteine and methionine content in soybean seed including some promising candidate genes
by
Sidiki Malle
,
Milad
Eskandari
,
Malcolm Morrison
,
François Belzile
Published 2020-12-01
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Article
3
Genomic regions associated with important seed quality traits in food-grade soybeans
by
Rachel M. Whiting
,
Sepideh Torabi
,
Lewis Lukens
,
Milad
Eskandari
Published 2020-10-01
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Article
4
Application of Machine Learning Algorithms in Plant Breeding: Predicting Yield From Hyperspectral Reflectance in Soybean
by
Mohsen Yoosefzadeh-Najafabadi
,
Hugh J. Earl
,
Dan Tulpan
,
John Sulik
,
Milad
Eskandari
Published 2021-01-01
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Article
5
Effects of type I Diacylglycerol O-acyltransferase (DGAT1) genes on soybean (Glycine max L.) seed composition
by
Sepideh Torabi
,
Arjun Sukumaran
,
Sangeeta Dhaubhadel
,
Sarah E. Johnson
,
Peter LaFayette
,
Wayne A. Parrott
,
Istvan Rajcan
,
Milad
Eskandari
Published 2021-01-01
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Article
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