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Now showing items 31-40 of 41

Article

Genomic resources in plant breeding for sustainable agriculture

Thudi, M.; Palakurthi, R.; Schnable, J.C.; Annapurna Chitikineni; Dreisigacker, S.; Mace, E.; Rakesh Kumar Srivastava; Satyavathi, C.T.; Odeny, D.A.; Vijay Tiwari; Hon-Ming Lam; Yan-Bin Hong; Singh, V.K.; Guowei Li; Yunbi Xu; Xiao-Ping Chen; Kaila, S.; Nguyen, H.T.; Sivasankar, S.; Jackson, S.A.; Close, T.J.; Wan Shubo; Varshney, R.K. (Elsevier, 2021)

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

Enhancing hybrid prediction in pearl millet using genomic and/or multi-environment phenotypic information of inbreds

Jarquín, D.; Howard, R.; Zhikai Liang; Shashi K. Gupta; Schnable, J.C.; Crossa, J. (Frontiers Media, 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

Incorporation of parental phenotypic data into multi‐omic models improves prediction of yield‐related traits in hybrid rice

Yang Xu; Yue Zhao; Xin Wang; Ying Ma; Pengcheng Li; Zefeng Yang; Zhang, X.; Chenwu Xu; Shizhong Xu (Wiley, 2020)

Article

Incorporating genome-wide association mapping results into genomic prediction models for grain yield and yield stability in CIMMYT spring bread wheat

Sehgal, D.; Rosyara, U.; Mondal, S.; Singh, R.P.; Poland, J.A.; Dreisigacker, S. (Frontiers, 2020)

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

Origin specific genomic selection: a simple process to optimize the favorable contribution of parents to progeny

Chin Jian Yang; Sharma, R.; Gorjanc, G.; Hearne, S.; Powell, W.; Mackay, I. (Genetics Society of America, 2020)

Article

A bayesian poisson-lognormal model for count data for multiple-trait multiple-environment genomic-enabled prediction

Montesinos-Lopez, O.A.; Montesinos-López, A.; Crossa, J.; Toledo, F.H.; Montesinos-López, J.C.; Singh, P.K.; Juliana, P.; Salinas Ruiz. J. (Genetics Society of America, 2017)

When a plant scientist wishes to make genomic-enabled predictions of multiple traits measured in multiple individuals in multiple environments, the most common strategy for performing the analysis is to use a single trait ...

Article

The use of unbalanced historical data for genomic selection in an international wheat breeding program

Dawson, J.C.; Endelman, J.B.; Heslot, N.; Crossa, J.; Poland, J.; Dreisigacker, S.; Manes, Y.; Sorrells, M.E.; Jean-Luc Jannink (Elsevier, 2013)

Genomic selection (GS) offers breeders the possibility of using historic data and unbalanced breeding trials to form training populations for predicting the performance of new lines. However, when using datasets that are ...

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Genomic resources in plant breeding for sustainable agriculture

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

Enhancing hybrid prediction in pearl millet using genomic and/or multi-environment phenotypic information of inbreds

Maximum a posteriori Threshold Genomic Prediction model for ordinal traits

Incorporation of parental phenotypic data into multi‐omic models improves prediction of yield‐related traits in hybrid rice

Incorporating genome-wide association mapping results into genomic prediction models for grain yield and yield stability in CIMMYT spring bread wheat

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

Origin specific genomic selection: a simple process to optimize the favorable contribution of parents to progeny

A bayesian poisson-lognormal model for count data for multiple-trait multiple-environment genomic-enabled prediction

The use of unbalanced historical data for genomic selection in an international wheat breeding program

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Genomic resources in plant breeding for sustainable agriculture

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

Enhancing hybrid prediction in pearl millet using genomic and/or multi-environment phenotypic information of inbreds

Maximum a posteriori Threshold Genomic Prediction model for ordinal traits

Incorporation of parental phenotypic data into multi‐omic models improves prediction of yield‐related traits in hybrid rice

Incorporating genome-wide association mapping results into genomic prediction models for grain yield and yield stability in CIMMYT spring bread wheat

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

Origin specific genomic selection: a simple process to optimize the favorable contribution of parents to progeny

A bayesian poisson-lognormal model for count data for multiple-trait multiple-environment genomic-enabled prediction

The use of unbalanced historical data for genomic selection in an international wheat breeding program