Yield prediction and inbreeding of maize synthetics generated with lines and single crosses. Classic probability

Reduce costs and labor associated with predicting the genotypic mean (GM) of a synthetic variety (SV) of maize (Zea mays L.), breeders can develop SVs from L lines and s single crosses (SynL,SC) instead of L+2s lines (SynL). The objective of this work was to derive and study formulae for the inbree...

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Main Authors: Jaime Sahagún-Castellanos, Juan E. Rodríguez-Pérez, José L. Escalante-González
Format: Article
Language:English
Published: Facultad de Ciencias Agrarias. Universidad Nacional de Cuyo 2022-10-01
Series:Revista de la Facultad de Ciencias Agrarias
Subjects:
Online Access:https://revistas.uncu.edu.ar/ojs/index.php/RFCA/article/view/5656
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author Jaime Sahagún-Castellanos
Juan E. Rodríguez-Pérez
José L. Escalante-González
author_facet Jaime Sahagún-Castellanos
Juan E. Rodríguez-Pérez
José L. Escalante-González
author_sort Jaime Sahagún-Castellanos
collection DOAJ
description Reduce costs and labor associated with predicting the genotypic mean (GM) of a synthetic variety (SV) of maize (Zea mays L.), breeders can develop SVs from L lines and s single crosses (SynL,SC) instead of L+2s lines (SynL). The objective of this work was to derive and study formulae for the inbreeding coefficient (IC) and GM of SynL,SC, SynL, and the SV derived from (L+2s)/2 single crosses (SynSC). All SVs were derived from the same L+2s unrelated lines whose IC is FL, and each parent of a SV was represented by m plants. An a priori probability equation for the IC was used. Important results were: 1) the largest and smallest GMs correspond to SynL and SynL,SC, respectively; 2) the GM predictors with the largest and intermediate precision are those for SynL and SynL,SC, respectively; 3) only when FL=1, or m is large, SynL and SynSC are the same population, but only with SynSC prediction costs and labor undergo the maximum decrease, although its prediction precision is the lowest. To determine the SV to be developed, breeders should also consider the availability of lines, single crosses, manpower and land area; besides budget, target farmers, target environments, etc.
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spelling doaj.art-43ad4e75a94d45b69924ca478090d4c82023-08-03T12:13:49ZengFacultad de Ciencias Agrarias. Universidad Nacional de CuyoRevista de la Facultad de Ciencias Agrarias0370-46611853-86652022-10-01452Yield prediction and inbreeding of maize synthetics generated with lines and single crosses. Classic probabilityJaime Sahagún-Castellanos0Juan E. Rodríguez-Pérez1José L. Escalante-González2Dpto. de Fitotecnia. Universidad Autónoma Chapingo. km 38,5 Carretera México-Texcoco. C. P. 56230 Chapingo, Estado de México. México.Dpto. de Fitotecnia. Universidad Autónoma Chapingo. km 38,5 Carretera México-Texcoco. C. P. 56230 Chapingo, Estado de México. México.Dpto. de Fitotecnia. Universidad Autónoma Chapingo. km 38,5 Carretera México-Texcoco. C. P. 56230 Chapingo, Estado de México. México. Reduce costs and labor associated with predicting the genotypic mean (GM) of a synthetic variety (SV) of maize (Zea mays L.), breeders can develop SVs from L lines and s single crosses (SynL,SC) instead of L+2s lines (SynL). The objective of this work was to derive and study formulae for the inbreeding coefficient (IC) and GM of SynL,SC, SynL, and the SV derived from (L+2s)/2 single crosses (SynSC). All SVs were derived from the same L+2s unrelated lines whose IC is FL, and each parent of a SV was represented by m plants. An a priori probability equation for the IC was used. Important results were: 1) the largest and smallest GMs correspond to SynL and SynL,SC, respectively; 2) the GM predictors with the largest and intermediate precision are those for SynL and SynL,SC, respectively; 3) only when FL=1, or m is large, SynL and SynSC are the same population, but only with SynSC prediction costs and labor undergo the maximum decrease, although its prediction precision is the lowest. To determine the SV to be developed, breeders should also consider the availability of lines, single crosses, manpower and land area; besides budget, target farmers, target environments, etc. https://revistas.uncu.edu.ar/ojs/index.php/RFCA/article/view/5656low-input agricultureplant breedinggenotypic stabilityrandom mating populationidentical by descent genes
spellingShingle Jaime Sahagún-Castellanos
Juan E. Rodríguez-Pérez
José L. Escalante-González
Yield prediction and inbreeding of maize synthetics generated with lines and single crosses. Classic probability
Revista de la Facultad de Ciencias Agrarias
low-input agriculture
plant breeding
genotypic stability
random mating population
identical by descent genes
title Yield prediction and inbreeding of maize synthetics generated with lines and single crosses. Classic probability
title_full Yield prediction and inbreeding of maize synthetics generated with lines and single crosses. Classic probability
title_fullStr Yield prediction and inbreeding of maize synthetics generated with lines and single crosses. Classic probability
title_full_unstemmed Yield prediction and inbreeding of maize synthetics generated with lines and single crosses. Classic probability
title_short Yield prediction and inbreeding of maize synthetics generated with lines and single crosses. Classic probability
title_sort yield prediction and inbreeding of maize synthetics generated with lines and single crosses classic probability
topic low-input agriculture
plant breeding
genotypic stability
random mating population
identical by descent genes
url https://revistas.uncu.edu.ar/ojs/index.php/RFCA/article/view/5656
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