Genetic evaluation and selection in Jatropha curcas through Frequentist and Bayesian inferences-Reference-Cited by-同舟云学术

Genetic evaluation and selection in Jatropha curcas through Frequentist and Bayesian inferences

Published:2022 Issue: Volume:81 Page:
ISSN:1678-4499
Container-title:Bragantia
language:
Short-container-title:Bragantia

Author:

Evangelista Jeniffer Santana Pinto Coelho¹^ORCID,Peixoto Marcos Antonio¹^ORCID,Coelho Igor¹^ORCID,Alves Rodrigo¹^ORCID,Resende Marcos Deon Vilela²^ORCID,Silva Fabyano Fonseca e¹^ORCID,Laviola Bruno³^ORCID,Bhering Leonardo Lopes¹^ORCID

Affiliation:

1. Universidade Federal de Viçosa, Brazil

2. Embrapa Florestas, Brazil

3. Embrapa Agroenergia, Brazil

Publisher

FapUNIFESP (SciELO)

Subject

General Agricultural and Biological Sciences,Materials Science (miscellaneous)

Link

http://www.scielo.br/scielo.php?script=sci_pdf&pid=S0006-87052022000100224&tlng=en

Reference41 articles.

1. New look at the statistical model identification;Akaike H;IEEE Transactions on Automatic Control,1974

2. Selection of Jatropha curcas families based on temporal stability and adaptability of genetic values;Alves R. S;Industrial Crops and Products,2018

3. Multiple-trait BLUP in longitudinal data analysis on Jatropha curcas breeding for bioenergy;Alves R. S;Industrial Crops and Products,2019

4. Jatropha, Challenges for a new energy crop;Bahadur B,2012

5. Carbon impacts of direct land use change in semiarid woodlands converted to biofuel plantations in India and Brazil;Bailis R. O. B;GCB Bioenergy,2011

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