User profiles for Saba Moeinizade
 | Saba MoeinizadePh.D. in Industrial Engineering Verified email at iastate.edu Cited by 181 |
Multi-trait genomic selection methods for crop improvement
Plant breeders make selection decisions based on multiple traits, such as yield, plant height,
flowering time, and disease resistance. A commonly used approach in multi-trait genomic …
flowering time, and disease resistance. A commonly used approach in multi-trait genomic …
Optimizing selection and mating in genomic selection with a look-ahead approach: an operations research framework
New genotyping technologies have made large amounts of genotypic data available for plant
breeders to use in their efforts to accelerate the rate of genetic gain. Genomic selection (GS…
breeders to use in their efforts to accelerate the rate of genetic gain. Genomic selection (GS…
[HTML][HTML] An applied deep learning approach for estimating soybean relative maturity from UAV imagery to aid plant breeding decisions
For a global breeding organization, identifying the next generation of superior crops is vital
for its success. Recognizing new genetic varieties requires years of in-field testing to gather …
for its success. Recognizing new genetic varieties requires years of in-field testing to gather …
[HTML][HTML] A reinforcement learning approach to resource allocation in genomic selection
Genomic selection (GS) is a technique that plant breeders use to select individuals to mate
and produce new generations of species. Allocation of resources is a key factor in GS. At …
and produce new generations of species. Allocation of resources is a key factor in GS. At …
New insights into trait introgression with the look-ahead intercrossing strategy
Trait introgression (TI) can be a time-consuming and costly task that typically requires multiple
generations of backcrossing (BC). Usually, the aim is to introduce one or more alleles (eg …
generations of backcrossing (BC). Usually, the aim is to introduce one or more alleles (eg …
[HTML][HTML] A look-ahead Monte Carlo simulation method for improving parental selection in trait introgression
Multiple trait introgression is the process by which multiple desirable traits are converted from
a donor to a recipient cultivar through backcrossing and selfing. The goal of this procedure …
a donor to a recipient cultivar through backcrossing and selfing. The goal of this procedure …
Complementarity‐based selection strategy for genomic selection
Genomic selection is a technique that breeders use to select plant or animal individuals to
mate and produce new generations of species. The conventional selection method is to select …
mate and produce new generations of species. The conventional selection method is to select …
A stochastic simulation approach for improving response in genomic selection
S Moeinizade - 2018 - search.proquest.com
The world population is increasing rapidly and is projected to hit 9.1 billion by 2050. As the
demand for food increases, agriculture production will continue to play a significant role. As a …
demand for food increases, agriculture production will continue to play a significant role. As a …
A look-ahead Monte Carlo simulation method for improving parental selection in trait introgression
Multiple trait introgression is the process by which multiple desirable traits are converted from
a donor to a recipient cultivar through backcrossing and selfing. The goal of this procedure …
a donor to a recipient cultivar through backcrossing and selfing. The goal of this procedure …
Predicting metropolitan crime rates using machine learning techniques
S Moeinizade, G Hu - … Management, and Analytics: Proceedings of the …, 2020 - Springer
The concept of smart city has been gaining public interests with the considerations of
socioeconomic development and quality of life. Smart initiatives have been proposed in multiple …
socioeconomic development and quality of life. Smart initiatives have been proposed in multiple …