Soybean |
301 |
GBS |
Grain yield |
G-BLUP model |
Jarquín et al., 2014
|
|
5,000 |
4,236 SNPs |
Yield, protein content, and height |
DualCNN, deepGS, RR-BLUP |
Liu et al., 2019
|
|
249 |
23,279 SNPs |
Amino acid |
RR-BLUP model |
Qin et al., 2019
|
|
5,600 |
4,600 SNPs |
Yield |
G-BLUP |
Howard and Jarquin, 2019
|
Alfalfa |
190 |
GBS (10,000 SNPs) |
Single harvest biomass Total biomass |
RR-BLUP model |
Chapman, 2015
|
|
278 (adapted to two different environments) |
GBS |
Dry matter yield |
RR-BLUP model |
Annicchiarico et al., 2017
|
Pea |
372 |
331 SNP |
Date of flowering Number of seeds per plant and Thousand seed weight |
LASSO PLS SPLS Bayes A, Bayes B, and G-BLUP |
Burstin et al., 2015
|
|
339 |
9,824 SNPs (GenoPea 13.2 K SNP Array) |
Date of flowering Number of seeds per plant Thousand seed weight |
(kPLSR), LASSO, G-BLUP, Bayes A, and Bayes B |
Tayeh et al., 2015
|
Chickpea |
320 |
3,000 DArT markers |
Seed yield 100 seed weight Days to 50% flowering, Days to maturity |
RR-BLUP, kinship GAUSS, Bayes Cπ, Bayes B, Bayesian LASSO, Random Forest (RF) |
Roorkiwal et al., 2016
|
|
320 |
8,900 SNPs |
Seed weight, harvest index and biomass |
Reaction norm models |
Roorkiwal et al., 2018
|
|
132 |
144,777 SNPs |
Seed number and grain yield |
BL and BRR |
Li et al., 2018
|
Groundnut |
188 |
2,356 DArT markers |
Days to flowering, seed weight, and pod yield |
RR-BLUP, kinship GAUSS, Bayes Cπ, Bayes B, Baysian LASSO and RF |
Pandey et al., 2014
|
|
340 |
13,355 SNPs |
Seed wight, yield and days to maturity |
Reaction norm models |
Pandey et al., 2020
|
|
281 |
493 SNPs |
Leaf let length, days to maturity and 100 seed weight |
RR-BLUP |
Akohoue et al., 2020
|
Common bean |
481
|
5,820 SNPs
|
Grain yield and days to maturity
|
G-BLUP
|
Keller et al., 2020
|