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Article

Increased prediction accuracy in wheat breeding trials using a marker x environment interaction Genomic Selection model

Lopez-Cruz, M.; Poland, J.; Jannink, J.L.; De los Campos, G.; Crossa, J.; Singh, R.P.; Dreisigacker, S.; Bonnett, D.; Autrique, E. (Genetics Society of America, 2015)

Genomic selection (GS) models use genome-wide genetic information to predict genetic values of candidates of selection. Originally, these models were developed without considering genotype · environment interaction( G·E). ...

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

Genomic-enabled prediction with classification algorithms

Ornella, L.; Pérez, P.; Tapia, E.; González-Camacho, J.M.; Burgueño, J.; Zhang, X.; Singh, S.; Vicente, F.S.; Bonnett, D.; Dreisigacker, S.; Singh, R.; Long, N.; Crossa, J. (Springer Nature, 2014)

Pearson’s correlation coefficient (ρ) is the most commonly reported metric of the success of prediction in genomic selection (GS). However, in real breeding ρ may not be very useful for assessing the quality of the regression ...

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

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 ...

Article

Genomic prediction in CIMMYT maize and wheat breeding programs

Crossa, J.; Perez, P.; Hickey, J.; Burgueño, J.; Ornella, L.; Ceron-Rojas, J.; Zhang, X.; Dreisigacker, S.; Babu, R.; Li, Y.; Bonnett, D.; Mathews, K. (Springer Nature, 2014)

Genomic selection (GS) has been implemented in animal and plant species, and is regarded as a useful tool for accelerating genetic gains. Varying levels of genomic prediction accuracy have been obtained in plants, depending ...

Article

Wheat quality improvement at CIMMYT and the use of genomic selection on it

Guzman, C.; Peña, R.; Singh, R.G.; Autrique, E.; Dreisigacker, S.; Crossa, J.; Rutkoski, J.; Poland, J.; Battenfield, S. (Elsevier, 2016)

The International Center for Maize and Wheat Improvement (CIMMYT) leads the Global Wheat Program, whose main objective is to increase the productivity of wheat cropping systems to reduce poverty in developing countries. ...

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Increased prediction accuracy in wheat breeding trials using a marker x environment interaction Genomic Selection model

Genomic resources in plant breeding for sustainable agriculture

Genomic-enabled prediction with classification algorithms

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

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

Genomic prediction in CIMMYT maize and wheat breeding programs

Wheat quality improvement at CIMMYT and the use of genomic selection on it

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Increased prediction accuracy in wheat breeding trials using a marker x environment interaction Genomic Selection model

Genomic resources in plant breeding for sustainable agriculture

Genomic-enabled prediction with classification algorithms

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

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

Genomic prediction in CIMMYT maize and wheat breeding programs

Wheat quality improvement at CIMMYT and the use of genomic selection on it