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A benchmarking between deep learning, support vector machine and bayesian threshold best linear unbiased prediction for predicting ordinal traits in plant breeding

Montesinos-Lopez, O.A.; Martin-Vallejo, J.; Crossa, J.; Gianola, D.; Hernández Suárez, C.M.; Montesinos-Lopez, A.; Juliana, P.; Singh, R.P. (Genetics Society of America, 2019)

Article

Genome-wide association mapping and genomic prediction analyses reveal the genetic architecture of grain yield and flowering time under drought and heat stress conditions in maize

Yibing Yuan; Cairns, J.E.; Babu, R.; Gowda, M.; Makumbi, D.; Magorokosho, C.; Ao Zhang; Yubo Liu; Nan Wang; Zhuanfang Hao; San Vicente, F.M.; Olsen, M.S.; Prasanna, B.M.; Yanli Lu; Zhang, X. (Blackwell Verlag, 2019)

Article

A multivariate Poisson deep learning model for genomic prediction of count data

Montesinos-Lopez, O.A.; Montesinos-Lopez, J.C.; Singh, P.K.; Lozano-Ramirez, N.; Barrón-López, A.; Montesinos-Lopez, A.; Crossa, J. (Genetics Society of America, 2020)

Article

Genome-wide association study to identify genomic regions influencing spontaneous fertility in maize haploids

Chaikam, V.; Gowda, M.; Nair, S.K.; Melchinger, A.E.; Prasanna, B.M. (Springer, 2019)

Efficient production and use of doubled haploid lines can greatly accelerate genetic gains in maize breeding programs. One of the critical steps in standard doubled haploid line production is doubling the haploid genome ...

Article

Genome‑wide association and genomic prediction of resistance to maize lethal necrosis disease in tropical maize germplasm

Gowda, M.; Das, B.; Makumbi, D.; Babu, R.; Semagn, K.; Mahuku, G.; Olsen, M.S.; Bright, J.M.; Beyene, Y.; Prasanna, B.M. (Springer, 2015)

The maize lethal necrosis disease (MLND) caused by synergistic interaction of Maize chlorotic mottle virus and Sugarcane mosaic virus, and has emerged as a serious threat to maize production in eastern Africa since 2011. ...

Article

Genomic prediction of gene bank wheat landraces

Crossa, J.; Jarquin, D.; Franco, J.; Pérez-Rodríguez, P.; Burgueño, J.; Saint Pierre, C.; Vikram, P.; Sansaloni, C.P.; Petroli, C.D.; Akdemir, D.; Sneller, C.; Reynolds, M.P.; Tattaris, M.; Payne, T.S.; Guzman, C.; Peña-Bautista, R.J.; Wenzl, P.; Sukhwinder Singh (Genetics Society of America, 2016)

This study examines genomic prediction within 8416 Mexican landrace accessions and 2403 Iranian landrace accessions stored in gene banks. The Mexican and Iranian collections were evaluated in separate field trials, including ...

Article

Genomic prediction with genotype by environment interaction analysis for kernel zinc concentration in tropical maize germplasm

Mageto, E.K.; Crossa, J.; Perez-Rodriguez, P.; Dhliwayo, T.; Palacios-Rojas, N.; Lee, M.; Rui Guo; San Vicente, F.M.; Zhang, X.; Hindu, V. (Genetics Society of America, 2020)

Article

Maximum a posteriori Threshold Genomic Prediction model for ordinal traits

Montesinos-López, A.; Gutierrez-Pulido, H.; Montesinos-Lopez, O.A.; Crossa, J. (Genetics Society of America, 2020)

Article

Genome-wide association study and genomic prediction of Fusarium ear rot resistance in tropical maize germplasm

Yubo Liu; Guanghui Hu; Ao Zhang; Loladze, A.; Yingxiong Hu; Hui Wang; Jingtao Qu; Zhang, X.; Olsen, M.; San Vicente, F.M.; Crossa, J.; Feng Lin; Prasanna, B.M. (Elsevier, 2020)

Article

Combination of linkage mapping, GWAS, and GP to dissect the genetic basis of common rust resistance in tropical maize germplasm

Kibe, M.; Nyaga, C.; Nair, S.K.; Beyene, Y.; Das, B.; Mahabaleswara, S.L.; Jumbo, M.B.; Makumbi, D.; Kinyua, J.; Olsen, M.; Prasanna, B.M.; Gowda, M. (MDPI, 2020)

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A benchmarking between deep learning, support vector machine and bayesian threshold best linear unbiased prediction for predicting ordinal traits in plant breeding

Genome-wide association mapping and genomic prediction analyses reveal the genetic architecture of grain yield and flowering time under drought and heat stress conditions in maize

A multivariate Poisson deep learning model for genomic prediction of count data

Genome-wide association study to identify genomic regions influencing spontaneous fertility in maize haploids

Genome‑wide association and genomic prediction of resistance to maize lethal necrosis disease in tropical maize germplasm

Genomic prediction of gene bank wheat landraces

Genomic prediction with genotype by environment interaction analysis for kernel zinc concentration in tropical maize germplasm

Maximum a posteriori Threshold Genomic Prediction model for ordinal traits

Genome-wide association study and genomic prediction of Fusarium ear rot resistance in tropical maize germplasm

Combination of linkage mapping, GWAS, and GP to dissect the genetic basis of common rust resistance in tropical maize germplasm

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A benchmarking between deep learning, support vector machine and bayesian threshold best linear unbiased prediction for predicting ordinal traits in plant breeding

Genome-wide association mapping and genomic prediction analyses reveal the genetic architecture of grain yield and flowering time under drought and heat stress conditions in maize

A multivariate Poisson deep learning model for genomic prediction of count data

Genome-wide association study to identify genomic regions influencing spontaneous fertility in maize haploids

Genome‑wide association and genomic prediction of resistance to maize lethal necrosis disease in tropical maize germplasm

Genomic prediction of gene bank wheat landraces

Genomic prediction with genotype by environment interaction analysis for kernel zinc concentration in tropical maize germplasm

Maximum a posteriori Threshold Genomic Prediction model for ordinal traits

Genome-wide association study and genomic prediction of Fusarium ear rot resistance in tropical maize germplasm

Combination of linkage mapping, GWAS, and GP to dissect the genetic basis of common rust resistance in tropical maize germplasm