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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
14/07/2017 |
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Data da última atualização: |
03/01/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
GOIS, I. B.; BORÉM, A.; CRISTOFANI-YALY, M.; RESENDE, M. D. V. de; AZEVEDO, C. F.; BASTIANEL, M.; NOVELLI, V. M.; MACHADO, M. A. |
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Afiliação: |
I. B. Gois, Departamento de Fitotecnia, Universidade Federal de Viçosa; A. Borém, Departamento de Fitotecnia, Universidade Federal de Viçosa; M. Cristofani-Yaly, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira; MARCOS DEON VILELA DE RESENDE, CNPF; C. F. Azevedo, Departamento de Estatística, Universidade Federal de Viçosa; M. Bastianel, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira; V. M. Novelli, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira; M. A. Machado, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira. |
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Título: |
Genome wide selection in citrus breeding. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Genetics and Molecular Research, v. 15, n. 4, gmr15048863, Oct. 2016. |
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DOI: |
http://dx.doi.org/10.4238/gmr15048863 |
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Idioma: |
Inglês |
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Conteúdo: |
Genome wide selection (GWS) is essential for the genetic improvement of perennial species such as Citrus because of its ability to increase gain per unit time and to enable the efficient selection of characteristics with low heritability. This study assessed GWS efficiency in a population of Citrus and compared it with selection based on phenotypic data. A total of 180 individual trees from a cross between Pera sweet orange (Citrus sinensis Osbeck) and Murcott tangor (Citrus sinensis Osbeck x Citrus reticulata Blanco) were evaluated for 10 characteristics related to fruit quality. The hybrids were genotyped using 5287 DArT_seqTM (diversity arrays technology) molecular markers and their effects on phenotypes were predicted using the random regression - best linear unbiased predictor (rr-BLUP) method. The predictive ability, prediction bias, and accuracy of GWS were estimated to verify its effectiveness for phenotype prediction. The proportion of genetic variance explained by the markers was also computed. The heritability of the traits, as determined by markers, was 16-28%. The predictive ability of these markers ranged from 0.53 to 0.64, and the regression coefficients between predicted and observed phenotypes were close to unity. Over 35% of the genetic variance was accounted for by the markers. Accuracy estimates with GWS were lower than those obtained by phenotypic analysis; however, GWS was superior in terms of genetic gain per unit time. Thus, GWS may be useful for Citrus breeding as it can predict phenotypes early and accurately, and reduce the length of the selection cycle. This study demonstrates the feasibility of genomic selection in Citrus. MenosGenome wide selection (GWS) is essential for the genetic improvement of perennial species such as Citrus because of its ability to increase gain per unit time and to enable the efficient selection of characteristics with low heritability. This study assessed GWS efficiency in a population of Citrus and compared it with selection based on phenotypic data. A total of 180 individual trees from a cross between Pera sweet orange (Citrus sinensis Osbeck) and Murcott tangor (Citrus sinensis Osbeck x Citrus reticulata Blanco) were evaluated for 10 characteristics related to fruit quality. The hybrids were genotyped using 5287 DArT_seqTM (diversity arrays technology) molecular markers and their effects on phenotypes were predicted using the random regression - best linear unbiased predictor (rr-BLUP) method. The predictive ability, prediction bias, and accuracy of GWS were estimated to verify its effectiveness for phenotype prediction. The proportion of genetic variance explained by the markers was also computed. The heritability of the traits, as determined by markers, was 16-28%. The predictive ability of these markers ranged from 0.53 to 0.64, and the regression coefficients between predicted and observed phenotypes were close to unity. Over 35% of the genetic variance was accounted for by the markers. Accuracy estimates with GWS were lower than those obtained by phenotypic analysis; however, GWS was superior in terms of genetic gain per unit time. Thus, GWS may be useful for Citr... Mostrar Tudo |
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Palavras-Chave: |
DarT_seq; Molecular markers; Seleção precoce; Selective accuracy. |
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Thesagro: |
Fruta cítrica; Marcador Molecular; Melhoramento vegetal. |
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Thesaurus Nal: |
Citrus; early selection; linkage disequilibrium; 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/161818/1/2016-M.Deon-GMR-Genome.pdf
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Marc: |
LEADER 02672naa a2200349 a 4500
001 2072713
005 2018-01-03
008 2016 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.4238/gmr15048863$2DOI
100 1 $aGOIS, I. B.
245 $aGenome wide selection in citrus breeding.$h[electronic resource]
260 $c2016
520 $aGenome wide selection (GWS) is essential for the genetic improvement of perennial species such as Citrus because of its ability to increase gain per unit time and to enable the efficient selection of characteristics with low heritability. This study assessed GWS efficiency in a population of Citrus and compared it with selection based on phenotypic data. A total of 180 individual trees from a cross between Pera sweet orange (Citrus sinensis Osbeck) and Murcott tangor (Citrus sinensis Osbeck x Citrus reticulata Blanco) were evaluated for 10 characteristics related to fruit quality. The hybrids were genotyped using 5287 DArT_seqTM (diversity arrays technology) molecular markers and their effects on phenotypes were predicted using the random regression - best linear unbiased predictor (rr-BLUP) method. The predictive ability, prediction bias, and accuracy of GWS were estimated to verify its effectiveness for phenotype prediction. The proportion of genetic variance explained by the markers was also computed. The heritability of the traits, as determined by markers, was 16-28%. The predictive ability of these markers ranged from 0.53 to 0.64, and the regression coefficients between predicted and observed phenotypes were close to unity. Over 35% of the genetic variance was accounted for by the markers. Accuracy estimates with GWS were lower than those obtained by phenotypic analysis; however, GWS was superior in terms of genetic gain per unit time. Thus, GWS may be useful for Citrus breeding as it can predict phenotypes early and accurately, and reduce the length of the selection cycle. This study demonstrates the feasibility of genomic selection in Citrus.
650 $aCitrus
650 $aearly selection
650 $alinkage disequilibrium
650 $aPlant breeding
650 $aFruta cítrica
650 $aMarcador Molecular
650 $aMelhoramento vegetal
653 $aDarT_seq
653 $aMolecular markers
653 $aSeleção precoce
653 $aSelective accuracy
700 1 $aBORÉM, A.
700 1 $aCRISTOFANI-YALY, M.
700 1 $aRESENDE, M. D. V. de
700 1 $aAZEVEDO, C. F.
700 1 $aBASTIANEL, M.
700 1 $aNOVELLI, V. M.
700 1 $aMACHADO, M. A.
773 $tGenetics and Molecular Research$gv. 15, n. 4, gmr15048863, Oct. 2016.
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Registro original: |
Embrapa Florestas (CNPF) |
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Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Semiárido; Embrapa Trigo. |
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Data corrente: |
18/07/2023 |
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Data da última atualização: |
18/07/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 4 |
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Autoria: |
SALVIANO, A. M.; CASTRO, J. M. da C. e; MELO, S. B. de; MACEDO, M. V. de; OLIVEIRA, V. R.; GIONGO, V. |
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Afiliação: |
ALESSANDRA MONTEIRO SALVIANO, CPATSA; JOSE MAURO DA CUNHA E CASTRO, CPATSA; STEFESON B. DE MELO, Universidade Federal Rural do Semi-Árido, Angicos, RN; MÁRCIA V. DE MACEDO, Universidade de Pernambuco, Petrolina, PE; VITÓRIA R. OLIVEIRA, Universidade de Pernambuco, Petrolina, PE; VANDERLISE GIONGO, CNPT. |
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Título: |
Multivariate analysis as a tool in the selection of sustainable melon agroecosystems in the semi-arid region. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Revista Caatinga, v. 36, n. 3, p. 543-552, 2023. |
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DOI: |
http://dx.doi.org/10.1590/1983-21252023v36n307rc |
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Idioma: |
Inglês |
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Conteúdo: |
Soil management systems, including tillage and green manuring, are important for the control of nematodes and for the sustainable production. The objective was to select, through multivariate analysis, sustainable agroecosystems for yellow melon cultivated under irrigated conditions in the Brazilian semi-arid region. The long-term experiment is set up in Argissolo Vermelho- Amarelo (Ultisol) with six multifunctional agroecosystems, composed of the combination of three mixtures of cover crops (1 - 75% legumes + 25% grasses and oilseeds; 2 - 25% legumes + 75% grasses and oilseeds and 3 - spontaneous vegetation) and two types of soil management (no tillage-NT and tillage-T). The purpose was to evaluate the nutritional status of plants, soil fertility, nematode population in roots and soil, and the yield. Data were analyzed with multivariate techniques, allowing the grouping of the agroecosystems based on their similarities and complexity of functions. The incorporation of plant residues to the soil reduces nematode population, but their maintenance on the surface allows the improvement of fertility and yield, even under larger nematode populations. The agroecosystems that associate the non-incorporation of residues from cover crops with larger species diversity in composition constitute the most complex model, allowing different environmental functionalities. Thus, it is recommended not to incorporate the plant residues, planting the melon seedlings directly in the straw. However, considering that the results obtained with the non-incorporation of spontaneous vegetation were similar to those obtained with the incorporation of commercial cover crops, it is concluded that this practice is also viable and adapted to the semi-arid conditions. MenosSoil management systems, including tillage and green manuring, are important for the control of nematodes and for the sustainable production. The objective was to select, through multivariate analysis, sustainable agroecosystems for yellow melon cultivated under irrigated conditions in the Brazilian semi-arid region. The long-term experiment is set up in Argissolo Vermelho- Amarelo (Ultisol) with six multifunctional agroecosystems, composed of the combination of three mixtures of cover crops (1 - 75% legumes + 25% grasses and oilseeds; 2 - 25% legumes + 75% grasses and oilseeds and 3 - spontaneous vegetation) and two types of soil management (no tillage-NT and tillage-T). The purpose was to evaluate the nutritional status of plants, soil fertility, nematode population in roots and soil, and the yield. Data were analyzed with multivariate techniques, allowing the grouping of the agroecosystems based on their similarities and complexity of functions. The incorporation of plant residues to the soil reduces nematode population, but their maintenance on the surface allows the improvement of fertility and yield, even under larger nematode populations. The agroecosystems that associate the non-incorporation of residues from cover crops with larger species diversity in composition constitute the most complex model, allowing different environmental functionalities. Thus, it is recommended not to incorporate the plant residues, planting the melon seedlings directly in the straw. Howev... Mostrar Tudo |
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Palavras-Chave: |
Agroecossistemas sustentáveis; Análise multivariada; Melão amarelo; Nematoides fitoparasitas; Revolvimento do solo; Semiárido; Vegetação espontâneas. |
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Thesagro: |
Adubação Verde; Cucumis Melo; Melão; Nematóide; Solo. |
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Thesaurus NAL: |
Green manures; Melons. |
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Categoria do assunto: |
A Sistemas de Cultivo |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1155013/1/Multivariate-analysis-as-a-tool-in-the-selection-of-sustainable-melon-agroecosystems-in-the-semi-arid-region-2023.pdf
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Marc: |
LEADER 02850naa a2200361 a 4500
001 2155013
005 2023-07-18
008 2023 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.1590/1983-21252023v36n307rc$2DOI
100 1 $aSALVIANO, A. M.
245 $aMultivariate analysis as a tool in the selection of sustainable melon agroecosystems in the semi-arid region.$h[electronic resource]
260 $c2023
520 $aSoil management systems, including tillage and green manuring, are important for the control of nematodes and for the sustainable production. The objective was to select, through multivariate analysis, sustainable agroecosystems for yellow melon cultivated under irrigated conditions in the Brazilian semi-arid region. The long-term experiment is set up in Argissolo Vermelho- Amarelo (Ultisol) with six multifunctional agroecosystems, composed of the combination of three mixtures of cover crops (1 - 75% legumes + 25% grasses and oilseeds; 2 - 25% legumes + 75% grasses and oilseeds and 3 - spontaneous vegetation) and two types of soil management (no tillage-NT and tillage-T). The purpose was to evaluate the nutritional status of plants, soil fertility, nematode population in roots and soil, and the yield. Data were analyzed with multivariate techniques, allowing the grouping of the agroecosystems based on their similarities and complexity of functions. The incorporation of plant residues to the soil reduces nematode population, but their maintenance on the surface allows the improvement of fertility and yield, even under larger nematode populations. The agroecosystems that associate the non-incorporation of residues from cover crops with larger species diversity in composition constitute the most complex model, allowing different environmental functionalities. Thus, it is recommended not to incorporate the plant residues, planting the melon seedlings directly in the straw. However, considering that the results obtained with the non-incorporation of spontaneous vegetation were similar to those obtained with the incorporation of commercial cover crops, it is concluded that this practice is also viable and adapted to the semi-arid conditions.
650 $aGreen manures
650 $aMelons
650 $aAdubação Verde
650 $aCucumis Melo
650 $aMelão
650 $aNematóide
650 $aSolo
653 $aAgroecossistemas sustentáveis
653 $aAnálise multivariada
653 $aMelão amarelo
653 $aNematoides fitoparasitas
653 $aRevolvimento do solo
653 $aSemiárido
653 $aVegetação espontâneas
700 1 $aCASTRO, J. M. da C. e
700 1 $aMELO, S. B. de
700 1 $aMACEDO, M. V. de
700 1 $aOLIVEIRA, V. R.
700 1 $aGIONGO, V.
773 $tRevista Caatinga$gv. 36, n. 3, p. 543-552, 2023.
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Embrapa Semiárido (CPATSA) |
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