Leonardo de Azevedo Peixoto

Leveraging genomic prediction to scan germplasm collection for crop improvement

Asheesh K. Singh, Asheesh K Singh, Jiaoping Zhang, 2017, PloS one.

Breeding Jatropha curcas by genomic selection: A pilot assessment of the accuracy of predictive models

B. G. Laviola, T. Rosado, L. L. Bhering, 2017, PloS one.

The number of measurements needed to obtain high reliability for traits related to enzymatic activities and photosynthetic compounds in soybean plants infected with Phakopsora pachyrhizi

C. B. Hoffmann-Campo, P. Teodoro, L. L. Bhering, 2018, PloS one.

Adaptability of cotton (Gossypium hirsutum) genotypes analysed using a Bayesian AMMI model

C. F. Azevedo, P. Teodoro, L. L. Bhering, 2019, Crop and Pasture Science.

Selection of Jatropha curcas families based on temporal stability and adaptability of genetic values

P. Teodoro, E. V. Rodrigues, L. L. Bhering, 2018, Industrial Crops and Products.

Correction: Bayesian Multi-Trait Analysis Reveals a Useful Tool to Increase Oil Concentration and to Decrease Toxicity in Jatropha curcas L.

Bruno Galvêas Laviola, S. Mendonça, R. Antoniassi, 2016, PloS one.

Bayesian Multi-Trait Analysis Reveals a Useful Tool to Increase Oil Concentration and to Decrease Toxicity in Jatropha curcas L.

Bruno Galvêas Laviola, S. Mendonça, R. Antoniassi, 2016, PloS one.