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Registro Completo |
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Biblioteca(s): |
Embrapa Meio-Norte. |
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Data corrente: |
07/03/2024 |
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Data da última atualização: |
07/03/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
GOMES, F. O.; SILVA, I. C. V.; FRANCO, L. J. D.; HASHIMOTO, J. M.; SILVA, K. J. D. e; ROCHA, M. de M. |
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Afiliação: |
FERNANDA DE O. GOMES, UNIVERSIDADE FEDERAL DO PIAUÍ; IZABEL C. V. SILVA, UNIVERSIDADE FEDERAL DO PIAUÍ; LUIS JOSE DUARTE FRANCO, CPAMN; JORGE MINORU HASHIMOTO, CPAMN; KAESEL JACKSON DAMASCENO E SILVA, CPAMN; MAURISRAEL DE MOURA ROCHA, CPAMN. |
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Título: |
Chemical and mineral composition of the raw and cooked immature grains of cowpea genotypes. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Revista Caatinga, Mossoró, v. 37, e11727, 2024. |
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DOI: |
http://dx.doi.org/10.1590/1983-21252024v3711727rc |
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Idioma: |
Inglês |
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Conteúdo: |
Immature cowpea grains are a rich source of proteins, minerals, dietary fiber, and phenolic compounds and also have a high antioxidant capacity compared to dry grains. Its consumption promotes a healthy and diversified diet. The objective of this work was to evaluate the cooking time and chemical and mineral composition of the raw and cooked immature grains of different cowpea genotypes. |
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Palavras-Chave: |
Composição centesimal; Feijão-verde; Minerais; Processamento térmico. |
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Thesagro: |
Vigna Unguiculata. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1162652/1/ChemicalMineralCompositionRawCookedGrainsCowpeaRC37.2024.pdf
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Marc: |
LEADER 01178naa a2200253 a 4500
001 2162652
005 2024-03-07
008 2024 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.1590/1983-21252024v3711727rc$2DOI
100 1 $aGOMES, F. O.
245 $aChemical and mineral composition of the raw and cooked immature grains of cowpea genotypes.$h[electronic resource]
260 $c2024
520 $aImmature cowpea grains are a rich source of proteins, minerals, dietary fiber, and phenolic compounds and also have a high antioxidant capacity compared to dry grains. Its consumption promotes a healthy and diversified diet. The objective of this work was to evaluate the cooking time and chemical and mineral composition of the raw and cooked immature grains of different cowpea genotypes.
650 $aVigna Unguiculata
653 $aComposição centesimal
653 $aFeijão-verde
653 $aMinerais
653 $aProcessamento térmico
700 1 $aSILVA, I. C. V.
700 1 $aFRANCO, L. J. D.
700 1 $aHASHIMOTO, J. M.
700 1 $aSILVA, K. J. D. e
700 1 $aROCHA, M. de M.
773 $tRevista Caatinga, Mossoró$gv. 37, e11727, 2024.
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Registro original: |
Embrapa Meio-Norte (CPAMN) |
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Registro Completo
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Biblioteca(s): |
Embrapa Florestas; Embrapa Mandioca e Fruticultura. |
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Data corrente: |
15/10/2019 |
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Data da última atualização: |
13/11/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
TORRES, L. G.; RESENDE, M. D. V. de; AZEVEDO, K C. F.; SILVA, F. F. e; OLIVEIRA, E. J. de. |
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Afiliação: |
LÍVIA GOMES TORRES, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; CAMILA FERREIRA AZEVEDO, UFV; FABYANO FONSECA E SILVA, UFV; EDER JORGE DE OLIVEIRA, CNPMF. |
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Título: |
Genomic selection for productive traits in biparental cassava breeding populations. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
PLoS ONE, v. 14, n. 7, e0220245, July 2019. 20 p. |
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DOI: |
https://doi.org/10.1371/ journal.pone.0220245 |
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Idioma: |
Inglês |
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Conteúdo: |
Cassava improvement using traditional breeding strategies is slow due to the species? long breeding cycle. However, the use of genomic selection can lead to a shorter breeding cycle. This study aimed to estimate genetic parameters for productive traits based on pedigree (pedigree and phenotypic information) and genomic (markers and phenotypic information) analyses using biparental crosses at different stages of selection. A total of 290 clones were genotyped and phenotyped for fresh root yield (FRY), dry matter content (DMC), dry yield (DY), fresh shoot yield (FSY) and harvest index (HI). The clones were evaluated in clonal evaluation trials (CET), preliminary yield trials (PYT), advanced yield trials (AYT) and uniform yield trials (UYT), from 2013 to 2018 in ten locations. The breeding stages were analyzed as follows: one stage (CET), two stages (CET and PYT), three stages (CET, PYT and AYT) and four stages (CET, PYT, AYT and UYT). The genomic predictions were analyzed via k-fold cross-validation based on the genomic best linear unbiased prediction (GBLUP) considering a model with genetic additive effects and genotype × location interactions. Genomic and pedigree accuracies were moderate to high (0.56?0.72 and 0.62?0.78, respectively) for important starch-related traits such as DY and FRY; when considering one breeding stage (CET) with the aim of early selection, the genomic accuracies ranged from 0.60 (DMC) to 0.71 (HI). Moreover, the correlations between the genomic estimation breeding values of one-stage genomic analysis and the estimated breeding values of the four-stage (full data set) pedigree analysis were high for all traits as well as for a selection index including all traits. The results indicate great possibilities for genomic selection in cassava, especially for selection early in the breeding cycle (saving time and effort). MenosCassava improvement using traditional breeding strategies is slow due to the species? long breeding cycle. However, the use of genomic selection can lead to a shorter breeding cycle. This study aimed to estimate genetic parameters for productive traits based on pedigree (pedigree and phenotypic information) and genomic (markers and phenotypic information) analyses using biparental crosses at different stages of selection. A total of 290 clones were genotyped and phenotyped for fresh root yield (FRY), dry matter content (DMC), dry yield (DY), fresh shoot yield (FSY) and harvest index (HI). The clones were evaluated in clonal evaluation trials (CET), preliminary yield trials (PYT), advanced yield trials (AYT) and uniform yield trials (UYT), from 2013 to 2018 in ten locations. The breeding stages were analyzed as follows: one stage (CET), two stages (CET and PYT), three stages (CET, PYT and AYT) and four stages (CET, PYT, AYT and UYT). The genomic predictions were analyzed via k-fold cross-validation based on the genomic best linear unbiased prediction (GBLUP) considering a model with genetic additive effects and genotype × location interactions. Genomic and pedigree accuracies were moderate to high (0.56?0.72 and 0.62?0.78, respectively) for important starch-related traits such as DY and FRY; when considering one breeding stage (CET) with the aim of early selection, the genomic accuracies ranged from 0.60 (DMC) to 0.71 (HI). Moreover, the correlations between the genomic estim... Mostrar Tudo |
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Palavras-Chave: |
Melhoramento genético. |
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Thesagro: |
Mandioca. |
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Thesaurus NAL: |
Cassava; Plant breeding. |
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Categoria do assunto: |
--
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/204427/1/2019-M.Deon-PO-Genomic.pdf
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Marc: |
LEADER 02572naa a2200229 a 4500
001 2114068
005 2019-11-13
008 2019 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1371/ journal.pone.0220245$2DOI
100 1 $aTORRES, L. G.
245 $aGenomic selection for productive traits in biparental cassava breeding populations.$h[electronic resource]
260 $c2019
520 $aCassava improvement using traditional breeding strategies is slow due to the species? long breeding cycle. However, the use of genomic selection can lead to a shorter breeding cycle. This study aimed to estimate genetic parameters for productive traits based on pedigree (pedigree and phenotypic information) and genomic (markers and phenotypic information) analyses using biparental crosses at different stages of selection. A total of 290 clones were genotyped and phenotyped for fresh root yield (FRY), dry matter content (DMC), dry yield (DY), fresh shoot yield (FSY) and harvest index (HI). The clones were evaluated in clonal evaluation trials (CET), preliminary yield trials (PYT), advanced yield trials (AYT) and uniform yield trials (UYT), from 2013 to 2018 in ten locations. The breeding stages were analyzed as follows: one stage (CET), two stages (CET and PYT), three stages (CET, PYT and AYT) and four stages (CET, PYT, AYT and UYT). The genomic predictions were analyzed via k-fold cross-validation based on the genomic best linear unbiased prediction (GBLUP) considering a model with genetic additive effects and genotype × location interactions. Genomic and pedigree accuracies were moderate to high (0.56?0.72 and 0.62?0.78, respectively) for important starch-related traits such as DY and FRY; when considering one breeding stage (CET) with the aim of early selection, the genomic accuracies ranged from 0.60 (DMC) to 0.71 (HI). Moreover, the correlations between the genomic estimation breeding values of one-stage genomic analysis and the estimated breeding values of the four-stage (full data set) pedigree analysis were high for all traits as well as for a selection index including all traits. The results indicate great possibilities for genomic selection in cassava, especially for selection early in the breeding cycle (saving time and effort).
650 $aCassava
650 $aPlant breeding
650 $aMandioca
653 $aMelhoramento genético
700 1 $aRESENDE, M. D. V. de
700 1 $aAZEVEDO, K C. F.
700 1 $aSILVA, F. F. e
700 1 $aOLIVEIRA, E. J. de
773 $tPLoS ONE$gv. 14, n. 7, e0220245, July 2019. 20 p.
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Embrapa Florestas (CNPF) |
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