Sandhu KS - Search Results

1

A Comprehensive Review of High Throughput Phenotyping and Machine Learning for Plant Stress Phenotyping.

Gill T, Gill SK, Saini DK, Chopra Y, de Koff JP, Sandhu KS. Gill T, et al. Among authors: sandhu ks. Phenomics. 2022 Apr 4;2(3):156-183. doi: 10.1007/s43657-022-00048-z. eCollection 2022 Jun. Phenomics. 2022. PMID: 36939773 Free PMC article. Review.

2

Consensus genomic regions associated with multiple abiotic stress tolerance in wheat and implications for wheat breeding.

Tanin MJ, Saini DK, Sandhu KS, Pal N, Gudi S, Chaudhary J, Sharma A. Tanin MJ, et al. Among authors: sandhu ks. Sci Rep. 2022 Aug 11;12(1):13680. doi: 10.1038/s41598-022-18149-0. Sci Rep. 2022. PMID: 35953529 Free PMC article.

3

Multi-omics assisted breeding for biotic stress resistance in soybean.

Bisht A, Saini DK, Kaur B, Batra R, Kaur S, Kaur I, Jindal S, Malik P, Sandhu PK, Kaur A, Gill BS, Wani SH, Kaur B, Mir RR, Sandhu KS, Siddique KHM. Bisht A, et al. Among authors: sandhu ks. Mol Biol Rep. 2023 Apr;50(4):3787-3814. doi: 10.1007/s11033-023-08260-4. Epub 2023 Jan 24. Mol Biol Rep. 2023. PMID: 36692674 Review.

4

Deep Learning for Predicting Complex Traits in Spring Wheat Breeding Program.

Sandhu KS, Lozada DN, Zhang Z, Pumphrey MO, Carter AH. Sandhu KS, et al. Front Plant Sci. 2021 Jan 5;11:613325. doi: 10.3389/fpls.2020.613325. eCollection 2020. Front Plant Sci. 2021. PMID: 33469463 Free PMC article.

5

Genomic Selection for End-Use Quality and Processing Traits in Soft White Winter Wheat Breeding Program with Machine and Deep Learning Models.

Sandhu KS, Aoun M, Morris CF, Carter AH. Sandhu KS, et al. Biology (Basel). 2021 Jul 20;10(7):689. doi: 10.3390/biology10070689. Biology (Basel). 2021. PMID: 34356544 Free PMC article.

6

Multitrait machine- and deep-learning models for genomic selection using spectral information in a wheat breeding program.

Sandhu K, Patil SS, Pumphrey M, Carter A. Sandhu K, et al. Plant Genome. 2021 Nov;14(3):e20119. doi: 10.1002/tpg2.20119. Epub 2021 Sep 5. Plant Genome. 2021. PMID: 34482627 Free article.

7

Omics for the Improvement of Abiotic, Biotic, and Agronomic Traits in Major Cereal Crops: Applications, Challenges, and Prospects.

Kaur B, Sandhu KS, Kamal R, Kaur K, Singh J, Röder MS, Muqaddasi QH. Kaur B, et al. Among authors: sandhu ks. Plants (Basel). 2021 Sep 23;10(10):1989. doi: 10.3390/plants10101989. Plants (Basel). 2021. PMID: 34685799 Free PMC article. Review.

8

Integrated Approach in Genomic Selection to Accelerate Genetic Gain in Sugarcane.

Sandhu KS, Shiv A, Kaur G, Meena MR, Raja AK, Vengavasi K, Mall AK, Kumar S, Singh PK, Singh J, Hemaprabha G, Pathak AD, Krishnappa G, Kumar S. Sandhu KS, et al. Plants (Basel). 2022 Aug 17;11(16):2139. doi: 10.3390/plants11162139. Plants (Basel). 2022. PMID: 36015442 Free PMC article. Review.

9

Multi-Trait Multi-Environment Genomic Prediction for End-Use Quality Traits in Winter Wheat.

Sandhu KS, Patil SS, Aoun M, Carter AH. Sandhu KS, et al. Front Genet. 2022 Jan 31;13:831020. doi: 10.3389/fgene.2022.831020. eCollection 2022. Front Genet. 2022. PMID: 35173770 Free PMC article.

10

CRISPR/Cas tool designs for multiplex genome editing and its applications in developing biotic and abiotic stress-resistant crop plants.

Singh J, Sharma D, Brar GS, Sandhu KS, Wani SH, Kashyap R, Kour A, Singh S. Singh J, et al. Among authors: sandhu ks. Mol Biol Rep. 2022 Dec;49(12):11443-11467. doi: 10.1007/s11033-022-07741-2. Epub 2022 Aug 24. Mol Biol Rep. 2022. PMID: 36002653 Review.

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