Accuracy of selection in early generations of field pea breeding increases by exploiting the information contained in correlated traits

Abstract: Accuracy of predicted breeding values (PBV) for low heritability traits may be increased in early generations by exploiting the information available in correlated traits. We compared the accuracy of PBV for 10 correlated traits with low to medium narrow-sense heritability (h2) in a gen...

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Autores principales: Castro Urrea, Felipe A., Urricariet, Maria P., Stefanova, Katia T., Li, Li, Moss, Wesley M., Guzzomi, Andrew L., Sass, Olaf, Siddique, Kadambot H.M, Cowling, Wallace A.
Otros Autores: 0000-0002-1705-0798
Formato: Artículo
Lenguaje:Inglés
Publicado: Multidisciplinary Digital Publishing Institute 2023
Materias:
BIOTECNOLOGIA
GENETICA VEGETAL Y FITOMEJORAMIENTO
MICROBIOLOGÍA
FENOTIPO
DIDIMELLA PINODES
ASCOCHYTA
AGRICULTURA
PLANTAS
Acceso en línea:https://repositorio.uca.edu.ar/handle/123456789/16323
Aporte de:
Repositorio Institucional de la Universidad Católica Argentina (UCA) de Universidad Católica Argentina
id I33-R139-123456789-16323
record_format dspace
spelling I33-R139-123456789-163232023-05-09T05:02:26Z Accuracy of selection in early generations of field pea breeding increases by exploiting the information contained in correlated traits Castro Urrea, Felipe A. Urricariet, Maria P. Stefanova, Katia T. Li, Li Moss, Wesley M. Guzzomi, Andrew L. Sass, Olaf Siddique, Kadambot H.M Cowling, Wallace A. 0000-0002-1705-0798 0000-0001-9377-810X 0000-0002-3601-9729 0000-0002-6485-5492 0000-0001-6097-4235 0000-0002-3101-7695 BIOTECNOLOGIA GENETICA VEGETAL Y FITOMEJORAMIENTO MICROBIOLOGÍA FENOTIPO DIDIMELLA PINODES ASCOCHYTA AGRICULTURA PLANTAS Abstract: Accuracy of predicted breeding values (PBV) for low heritability traits may be increased in early generations by exploiting the information available in correlated traits. We compared the accuracy of PBV for 10 correlated traits with low to medium narrow-sense heritability (h2) in a genetically diverse field pea (Pisum sativum L.) population after univariate or multivariate linear mixed model (MLMM) analysis with pedigree information. In the contra-season, we crossed and selfed S1 parent plants, and in the main season we evaluated spaced plants of S0 cross progeny and S2+ (S2 or higher) self progeny of parent plants for the 10 traits. Stem strength traits included stem buckling (SB) (h2 = 0.05), compressed stem thickness (CST) (h2 = 0.12), internode length (IL) (h2 = 0.61) and angle of the main stem above horizontal at first flower (EAngle) (h2 = 0.46). Significant genetic correlations of the additive effects occurred between SB and CST (0.61), IL and EAngle (−0.90) and IL and CST (−0.36). The average accuracy of PBVs in S0 progeny increased from 0.799 to 0.841 and in S2+ progeny increased from 0.835 to 0.875 in univariate vs MLMM, respectively. An optimized mating design was constructed with optimal contribution selection based on an index of PBV for the 10 traits, and predicted genetic gain in the next cycle ranged from 1.4% (SB), 5.0% (CST), 10.5% (EAngle) and −10.5% (IL), with low achieved parental coancestry of 0.12. MLMM improved the potential genetic gain in annual cycles of early generation selection in field pea by increasing the accuracy of PBV. 2023-05-08T17:31:58Z 2023-05-08T17:31:58Z 2023 Artículo Castro Urrea, F. A. et al. Accuracy of selection in early generations of field pea breeding increases by exploiting the information contained in correlated traits [en línea]. Plants. 2023, 12(5). doi: 10.3390/plants12051141. Disponible en: https://repositorio.uca.edu.ar/handle/123456789/16323 2223-7747 https://repositorio.uca.edu.ar/handle/123456789/16323 10.3390/plants12051141 eng Acceso abierto http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Multidisciplinary Digital Publishing Institute Plants. 2023, 12(5)
institution Universidad Católica Argentina
institution_str I-33
repository_str R-139
collection Repositorio Institucional de la Universidad Católica Argentina (UCA)
language Inglés
topic BIOTECNOLOGIA
GENETICA VEGETAL Y FITOMEJORAMIENTO
MICROBIOLOGÍA
FENOTIPO
DIDIMELLA PINODES
ASCOCHYTA
AGRICULTURA
PLANTAS
spellingShingle BIOTECNOLOGIA
GENETICA VEGETAL Y FITOMEJORAMIENTO
MICROBIOLOGÍA
FENOTIPO
DIDIMELLA PINODES
ASCOCHYTA
AGRICULTURA
PLANTAS
Castro Urrea, Felipe A.
Urricariet, Maria P.
Stefanova, Katia T.
Li, Li
Moss, Wesley M.
Guzzomi, Andrew L.
Sass, Olaf
Siddique, Kadambot H.M
Cowling, Wallace A.
Accuracy of selection in early generations of field pea breeding increases by exploiting the information contained in correlated traits
topic_facet BIOTECNOLOGIA
GENETICA VEGETAL Y FITOMEJORAMIENTO
MICROBIOLOGÍA
FENOTIPO
DIDIMELLA PINODES
ASCOCHYTA
AGRICULTURA
PLANTAS
description Abstract: Accuracy of predicted breeding values (PBV) for low heritability traits may be increased in early generations by exploiting the information available in correlated traits. We compared the accuracy of PBV for 10 correlated traits with low to medium narrow-sense heritability (h2) in a genetically diverse field pea (Pisum sativum L.) population after univariate or multivariate linear mixed model (MLMM) analysis with pedigree information. In the contra-season, we crossed and selfed S1 parent plants, and in the main season we evaluated spaced plants of S0 cross progeny and S2+ (S2 or higher) self progeny of parent plants for the 10 traits. Stem strength traits included stem buckling (SB) (h2 = 0.05), compressed stem thickness (CST) (h2 = 0.12), internode length (IL) (h2 = 0.61) and angle of the main stem above horizontal at first flower (EAngle) (h2 = 0.46). Significant genetic correlations of the additive effects occurred between SB and CST (0.61), IL and EAngle (−0.90) and IL and CST (−0.36). The average accuracy of PBVs in S0 progeny increased from 0.799 to 0.841 and in S2+ progeny increased from 0.835 to 0.875 in univariate vs MLMM, respectively. An optimized mating design was constructed with optimal contribution selection based on an index of PBV for the 10 traits, and predicted genetic gain in the next cycle ranged from 1.4% (SB), 5.0% (CST), 10.5% (EAngle) and −10.5% (IL), with low achieved parental coancestry of 0.12. MLMM improved the potential genetic gain in annual cycles of early generation selection in field pea by increasing the accuracy of PBV.
author2 0000-0002-1705-0798
author_facet 0000-0002-1705-0798
Castro Urrea, Felipe A.
Urricariet, Maria P.
Stefanova, Katia T.
Li, Li
Moss, Wesley M.
Guzzomi, Andrew L.
Sass, Olaf
Siddique, Kadambot H.M
Cowling, Wallace A.
format Artículo
author Castro Urrea, Felipe A.
Urricariet, Maria P.
Stefanova, Katia T.
Li, Li
Moss, Wesley M.
Guzzomi, Andrew L.
Sass, Olaf
Siddique, Kadambot H.M
Cowling, Wallace A.
author_sort Castro Urrea, Felipe A.
title Accuracy of selection in early generations of field pea breeding increases by exploiting the information contained in correlated traits
title_short Accuracy of selection in early generations of field pea breeding increases by exploiting the information contained in correlated traits
title_full Accuracy of selection in early generations of field pea breeding increases by exploiting the information contained in correlated traits
title_fullStr Accuracy of selection in early generations of field pea breeding increases by exploiting the information contained in correlated traits
title_full_unstemmed Accuracy of selection in early generations of field pea breeding increases by exploiting the information contained in correlated traits
title_sort accuracy of selection in early generations of field pea breeding increases by exploiting the information contained in correlated traits
publisher Multidisciplinary Digital Publishing Institute
publishDate 2023
url https://repositorio.uca.edu.ar/handle/123456789/16323
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