2020
DOI: 10.1007/s10681-020-02677-9
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Multi-trait multi-environment diallel analyses for maize breeding

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Cited by 13 publications
(11 citation statements)
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“…In maize breeding, diallel analyses are one of the most common methods for generating genetic information that can be used to develop breeding strategies (Nardino et al 2020, Onofri et al 2021. It is possible to make inferences about the genetic control of the traits of interest from the information provided by the diallels, evaluate the heterotic potential and genetic values of the parents by their combining abilities, and predict the best crosses between the parents (Hallauer et al 2010, Coelho et al 2020.…”
Section: Introductionmentioning
confidence: 99%
“…In maize breeding, diallel analyses are one of the most common methods for generating genetic information that can be used to develop breeding strategies (Nardino et al 2020, Onofri et al 2021. It is possible to make inferences about the genetic control of the traits of interest from the information provided by the diallels, evaluate the heterotic potential and genetic values of the parents by their combining abilities, and predict the best crosses between the parents (Hallauer et al 2010, Coelho et al 2020.…”
Section: Introductionmentioning
confidence: 99%
“…Diallel mating designs are used for progeny tests [ 5 ] and are widely adopted in plant breeding [ 6 9 ]. These mating designs allow the evaluation of general and specific combining abilities, which are additive genetic effects based on general combining ability (GCA), and dominance genetic effect based on specific combining ability (SCA) [ 10 , 11 ].…”
Section: Introductionmentioning
confidence: 99%
“…Thus, testing the combining ability in different environments will enrich insights for inbred selection based on SCA, which will allow the true SCA potential of the inbred to be properly recognized. The process of finding out the genetic effects of a line does not require testing in all environmental conditions, but can be done through testing of planting with different time gaps or planting in places with different elevations (Coelho et al, 2020;Murtadha, Ariyo, & Alghamdi, 2018).…”
Section: Introductionmentioning
confidence: 99%