2016
DOI: 10.1080/1343943x.2016.1222870
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Bayesian analysis of quantitative traits in popcorn (Zea maysL.) through four cycles of recurrent selection

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Cited by 7 publications
(2 citation statements)
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“…Amaral Júnior et al (2016) found values close to predicted genetic gains using data from the present work through Bayesian analysis, with gains of 4.3% for GY and 2.9% for PE. Therefore, the arbitrary weights were the more suitable method for the selection of the thirty progenies that were reliably superior for recombination of the characters evaluated, favoring consistent gains for the next recurrent selection cycle.…”
Section: Genetic Gains and Potential Progenies In The Eighth Selectivmentioning
confidence: 81%
“…Amaral Júnior et al (2016) found values close to predicted genetic gains using data from the present work through Bayesian analysis, with gains of 4.3% for GY and 2.9% for PE. Therefore, the arbitrary weights were the more suitable method for the selection of the thirty progenies that were reliably superior for recombination of the characters evaluated, favoring consistent gains for the next recurrent selection cycle.…”
Section: Genetic Gains and Potential Progenies In The Eighth Selectivmentioning
confidence: 81%
“…Several kinds of grains have been used to obtain popped snacks, from which corn is one of the most widely used. Most of the studies carried out on popped corn have focused on the processing conditions, methods, and varieties that ensure a quality popped grain (Amaral Junior et al, 2016;Cabrera-Ramírez et al, 2020;Mishra et al, 2014;Paraginski et al, 2016;Pohndorf et al, 2019). Meanwhile, other research works have focused on studying genetic characteristics and growing conditions that allow obtaining desirable volumetric and yield attributes in popcorn (Almeida et al, 2018;do Amaral Júnior et al, 2016;Dong et al, 2015;Kamphorst et al, 2020).…”
Section: Introductionmentioning
confidence: 99%