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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
24/02/2021 |
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Actualizado : |
24/02/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
MARCHI, P. M.; CARVALHO, R.; HÖHN, D.; CARRA, B.; SZARESKI, V. J.; DINI, M.; VIZZOTTO, M.; ANTUNES, L. E. C. |
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Afiliación : |
P.M. MARCHI, Faculdade de Agronomia Eliseu Maciel, Universidade Federal de Pelotas, Capão do Leão, RS, Brazil; I.R. CARVALHO, Faculdade de Agronomia Eliseu Maciel, Universidade Federal de Pelotas, Capão do Leão, RS, Brazil; D. HÖHN, Faculdade de Agronomia Eliseu Maciel, Universidade Federal de Pelotas, Capão do Leão, RS, Brazil; B. CARRA, Faculdade de Agronomia Eliseu Maciel, Universidade Federal de Pelotas, Capão do Leão, RS, Brazil; V.J. SZARESKI, Faculdade de Agronomia Eliseu Maciel, Universidade Federal de Pelotas, Capão do Leão, RS, Brazil; MAXIMILIANO ANTONIO DINI VIÑOLY, Faculdade de Agronomia Eliseu Maciel, Universidade Federal de Pelotas, Capão do Leão, RS, Brazi; lNIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; M. VIZZOTTO, Empresa Brasileira de Pesquisa Agropecuária, Estação Experimental de Fruticultura de Clima Temperado, Pelotas, RS, Brazil; L.E.C. ANTUNES, Empresa Brasileira de Pesquisa Agropecuária, Estação Experimental de Fruticultura de Clima Temperado, Pelotas, RS, Brazil. |
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Título : |
Genetic parameters prediction (REML/BLUP) for morphological, physical-chemical, phytochemical, and mineral components of primocane-fruiting raspberries. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Genetics and Molecular Research, 2019, Volume 18, Issue 2, 2019, Article number gmr18254. OPEN ACCESS. DOI: http://dx.doi.org/10.4238/gmr18254 |
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ISSN : |
1676-5680 |
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DOI : |
10.4238/gmr18254 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received February 04, 2019; Accepted May 17, 2019; Published May 24, 2019. |
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Contenido : |
ABSTRACT.
Raspberry is a berry crop of great economic importance, and its cultivation has expanded worldwide. Information on the genetic parameters of raspberry for use in breeding programs is currently limited. We used Restricted Maximum Likelihood (REML) and Best Linear Unbiased Prediction (BLUP) to estimate variance components and predict genetic parameters for morphological, phytochemical, and mineral components in primocane-fruiting raspberries in southern Brazil. The experimental design was randomized blocks in a factorial scheme, with two production cycles (fall and spring) x three cultivars (?Alemãzinha?, ?Heritage? and, ?Fallgold?), with eight replicates. A total of 27 traits were evaluated, out of which only the traits beginning of fruit harvest, plant height, dry mass of pruning, average fruit weight, total phenolic compounds, anthocyanins, antioxidant activity, Ca, Mg, Cu, Fe, Mn, Zn, and titratable acidity showed significant differences. The anthocyanins presented 87% of broad sense heritability, and this high value indicates that this trait can be improved through selection. Plant height, fruit weight, total phenolic compounds, Mg and Fe had moderate broad sense heritability (46, 58, 58, 51, and 66%, respectively); and the traits beginning of fruit harvest, dry mass of pruning, antioxidant activity, Ca, Cu, Mn, Zn, and titratable acidity are strongly influenced by production cycle effects. Greater genetic variance contribution in the interaction between genotypes × production cycle was observed for plant height, fruit weight, total phenolic compounds, anthocyanins, antioxidant activity, Mg and Fe. The genotype ?Alemãzinha? was superior for beginning of fruit harvest, plant height, anthocyanins, titratable acidity, and several minerals. Five inheritable profiles were found; the profile IV, including plant height, fruit weight, Mg, Fe, and total phenols had moderate broad sense heritability. Only profile V, composed of anthocianins, presented high heritability. © FUNPEC-RP. MenosABSTRACT.
Raspberry is a berry crop of great economic importance, and its cultivation has expanded worldwide. Information on the genetic parameters of raspberry for use in breeding programs is currently limited. We used Restricted Maximum Likelihood (REML) and Best Linear Unbiased Prediction (BLUP) to estimate variance components and predict genetic parameters for morphological, phytochemical, and mineral components in primocane-fruiting raspberries in southern Brazil. The experimental design was randomized blocks in a factorial scheme, with two production cycles (fall and spring) x three cultivars (?Alemãzinha?, ?Heritage? and, ?Fallgold?), with eight replicates. A total of 27 traits were evaluated, out of which only the traits beginning of fruit harvest, plant height, dry mass of pruning, average fruit weight, total phenolic compounds, anthocyanins, antioxidant activity, Ca, Mg, Cu, Fe, Mn, Zn, and titratable acidity showed significant differences. The anthocyanins presented 87% of broad sense heritability, and this high value indicates that this trait can be improved through selection. Plant height, fruit weight, total phenolic compounds, Mg and Fe had moderate broad sense heritability (46, 58, 58, 51, and 66%, respectively); and the traits beginning of fruit harvest, dry mass of pruning, antioxidant activity, Ca, Cu, Mn, Zn, and titratable acidity are strongly influenced by production cycle effects. Greater genetic variance contribution in the interaction between genotyp... Presentar Todo |
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Palabras claves : |
Berries; Heritability; Plant breeding; RELM/BLUP; Rubus idaeus; Small fruits. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15061/1/Marchi-et-al.-Genetic-parameters-prediction-remlblup-GMR-2019.pdf
http://www.funpecrp.com.br/gmr/articles/year2019/vol18-2/pdf/gmr18254_-_genetic-parameters-prediction-remlblup-morphological-physical-chemical-phytochemical-and.pdf
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Marc : |
LEADER 03106naa a2200313 a 4500
001 1061759
005 2021-02-24
008 2019 bl uuuu u00u1 u #d
022 $a1676-5680
024 7 $a10.4238/gmr18254$2DOI
100 1 $aMARCHI, P. M.
245 $aGenetic parameters prediction (REML/BLUP) for morphological, physical-chemical, phytochemical, and mineral components of primocane-fruiting raspberries.$h[electronic resource]
260 $c2019
500 $aArticle history: Received February 04, 2019; Accepted May 17, 2019; Published May 24, 2019.
520 $aABSTRACT. Raspberry is a berry crop of great economic importance, and its cultivation has expanded worldwide. Information on the genetic parameters of raspberry for use in breeding programs is currently limited. We used Restricted Maximum Likelihood (REML) and Best Linear Unbiased Prediction (BLUP) to estimate variance components and predict genetic parameters for morphological, phytochemical, and mineral components in primocane-fruiting raspberries in southern Brazil. The experimental design was randomized blocks in a factorial scheme, with two production cycles (fall and spring) x three cultivars (?Alemãzinha?, ?Heritage? and, ?Fallgold?), with eight replicates. A total of 27 traits were evaluated, out of which only the traits beginning of fruit harvest, plant height, dry mass of pruning, average fruit weight, total phenolic compounds, anthocyanins, antioxidant activity, Ca, Mg, Cu, Fe, Mn, Zn, and titratable acidity showed significant differences. The anthocyanins presented 87% of broad sense heritability, and this high value indicates that this trait can be improved through selection. Plant height, fruit weight, total phenolic compounds, Mg and Fe had moderate broad sense heritability (46, 58, 58, 51, and 66%, respectively); and the traits beginning of fruit harvest, dry mass of pruning, antioxidant activity, Ca, Cu, Mn, Zn, and titratable acidity are strongly influenced by production cycle effects. Greater genetic variance contribution in the interaction between genotypes × production cycle was observed for plant height, fruit weight, total phenolic compounds, anthocyanins, antioxidant activity, Mg and Fe. The genotype ?Alemãzinha? was superior for beginning of fruit harvest, plant height, anthocyanins, titratable acidity, and several minerals. Five inheritable profiles were found; the profile IV, including plant height, fruit weight, Mg, Fe, and total phenols had moderate broad sense heritability. Only profile V, composed of anthocianins, presented high heritability. © FUNPEC-RP.
653 $aBerries
653 $aHeritability
653 $aPlant breeding
653 $aRELM/BLUP
653 $aRubus idaeus
653 $aSmall fruits
700 1 $aCARVALHO, R.
700 1 $aHÖHN, D.
700 1 $aCARRA, B.
700 1 $aSZARESKI, V. J.
700 1 $aDINI, M.
700 1 $aVIZZOTTO, M.
700 1 $aANTUNES, L. E. C.
773 $tGenetics and Molecular Research, 2019, Volume 18, Issue 2, 2019, Article number gmr18254. OPEN ACCESS. DOI: http://dx.doi.org/10.4238/gmr18254
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INIA Las Brujas (LB) |
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 | Acceso al texto completo restringido a Biblioteca INIA Tacuarembó. Por información adicional contacte bibliotb@tb.inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Tacuarembó; INIA Treinta y Tres. |
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Fecha actual : |
18/11/2016 |
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Actualizado : |
11/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
MARTÍNEZ, C.P.; TORRES, E.A.; CHATEL, M.; MOSQUERA, G.; DUITAMA, J.; ISHITANI, M.; SELVARAJ, M.; DEDICOVA, B.; TOHME, J.; GRENIER, C.; LORIEUX, M.; CRUZ, M.; BERRÍO, L.; CORREDOR, E.; ZORRILLA DE SAN MARTÍN, G.; BRESEGHELLO, F.; PEIXOTO, O.; COLOMBARI FILHO, J.M.; CASTRO, A. PEREIRA DE; LOPES, S.I. GINDRI; BARBOSA, M.; FUNCK, G.R. DALTROZZO; BLANCO, P.H.; PÉREZ DE VIDA, F.; MOLINA, F.; ROSAS, J.E.; MARTÍNEZ, S.; BONNECARRERE, V.; CARRACELAS, G.; MARIN, A.; CORREA-VICTORIA, F.; CAMARGO, I.; BRUZZONE, C.B . |
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Afiliación : |
CESAR P. MARTÍNEZ, INTERNATIONAL CENTER FOR TROPICAL AGRICULTURE (CIAT).; EDGAR A. TORRES, INTERNATIONAL CENTER FOR TROPICAL AGRICULTURE (CIAT).; MARC CHATEL, INTERNATIONAL CENTER FOR TROPICAL AGRICULTURE (CIAT).; GLORIA MOSQUERA, INTERNACIONAL CENTER FOR TROPICAL AGRICULTURE (CIAT).; JORGE DUITAMA, INTERNATIONAL CENTER FOR TROPICAL AGRICULTURE (CIAT).; MANABU ISHITANI, INTERNATIONAL CENTER FOR TROPICAL AGRICULTURE (CIAT).; MICHAEL SILVARAJ, INTERNATIONAL CENTER FOR TROPICAL AGRICULTURE (CIAT).; BEATA DEDICOVA, INTERNATIONAL CENTER FOR TROPICAL AGRICULTURE (CIAT).; JOE TOHME, INTERNATIONAL CENTER FOR TROPICAL AGRICULTURE (CIAT).; CÉCILE GRENIER, INTERNATIONAL CENTER FOR TROPICAL AGRICULTURE (CIAT).; MATHIAS LORIEUX, INTERNATIONAL CENTER FOR TROPICAL AGRICULTURE (CIAT).; MARIBEL CRUZ, LATIN AMERICAN FUND FOR IRRIGATED RICE (FLAR).; LUIS BERRÍO, LATIN AMERICAN FUND FOR IRRIGATED RICE (FLAR).; EDGAR CORREDOR, LATIN AMERICAN FUND FOR IRRIGATED RICE (FLAR).; GONZALO ZORRILLA DE SAN MARTÍN, LATIN AMERICAN FUND FOR IRRIGATED RICE (FLAR).; FLAVIO BRESEGHELLO, BRAZILIAN ENTERPRISE FOR AGRICULTURAL RESEARCH (EMBRAPA RICE AND BEANS).; ORLANDO PEIXOTO, BRAZILIAN ENTERPRISE FOR AGRICULTURAL RESEARCH (EMBRAPA RICE AND BEANS).; JOSE MANOEL COLOMBARI FILHO, BRAZILIAN ENTERPRISE FOR AGRICULTURAL RESEARCH (EMBRAPA RICE AND BEANS).; ADRIANO PEREIRA DE CASTRO., BRAZILIAN ENTERPRISE FOR AGRICULTURAL RESEARCH (EMBRAPA RICE AND BEANS).; SERGIO IRACU GINDRI LOPES, RIO GRANDE DO SUL STATE RICE INSTITUTE (IRGA).; MARA BARBOSA, RIO GRANDE DO SUL STATE RICE INSTITUTE (IRGA).; GUSTAVO RODRIGO DALTROZZO FUNCK, RIO GRANDE DO SUL STATE RICE INSTITUTE (IRGA).; PEDRO HORACIO BLANCO BARRAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO BLAS PEREZ DE VIDA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FEDERICO MOLINA CASELLA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JUAN EDUARDO ROSAS CAISSIOLS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SEBASTIÁN MARTÍNEZ KOPP, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA VICTORIA BONNECARRERE MARTINEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JULIO GONZALO CARRACELAS GARRIDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALFREDO MARIN, ARGENTINIAN INSTITUTE FOR AGRICULTURAL RESEARCH (INTA).; FERNANDO CORREA-VICTORIA, RICE TEC SOLUTION; ISMAEL CAMARGO, PANAMANIAN INSTITUTE FOR AGRICULTURAL RESEARCH (IDIAP).; CARLOS BERNARDO BRUZZONE, SEEDS EL POTRERO FARM. |
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Título : |
Rice breeding in Latin America. |
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Fecha de publicación : |
2014 |
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Fuente / Imprenta : |
Plant Breeding Reviews, 2014 v.38, p. 187-277., 2014 |
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DOI : |
10.1002/9781118916865.ch05 |
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Idioma : |
Inglés |
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Contenido : |
Rice breeding has made important contributions to Latin America. More than 400 cultivars were released from 1975 to 2012, which helped to raise total production to >27 million tonnes obtained from 5.7 million hectares (average for 2010-2012). Rice production provides ~US$8.8 billion for thousands of farmers in Latin America and the Caribbean (LAC). The result of higher yields in the irrigated sector was to triple rice production in LAC while area did not grow, thus preserving more fragile environments. Several estimates on genetic gains for grain yield have been carried out in LAC. In temperate irrigated rice, the estimates are around 1.5-2.6% per year. In the tropical irrigated, it is ~1% and in the upland rice the estimate is ~1.4% per year.
Different breeding strategies, including pedigree, modified bulk, recurrent selection methods, anther culture, interspecific crosses, composite populations, quantitative trait loci (QTL) introgression, and recombinant inbred lines, accompanied by shuttle breeding schemes, direct seeding, and evaluation/selection in hot spots for main diseases are being used by CIAT and NARES in the region. In this process, methods for screening for diseases and other stresses were established. Networking has been a cornerstone for success and several networks such as INGER, FLAR, and HIAAL were created.
Looking forward, as farmers' yields are approaching the genetic yield potential exhibited by current cultivars, as a result of improved agronomic management, a new breakthrough is needed in terms of more productive cultivars. To achieve this goal, a strategy is needed that includes strong pipelines focused on specific environments and markets; better product profiling; integration between discovery, development, and delivery; and new breeding strategies using cutting-edge technologies and new breeding methods to accelerate genetic gains. MenosRice breeding has made important contributions to Latin America. More than 400 cultivars were released from 1975 to 2012, which helped to raise total production to >27 million tonnes obtained from 5.7 million hectares (average for 2010-2012). Rice production provides ~US$8.8 billion for thousands of farmers in Latin America and the Caribbean (LAC). The result of higher yields in the irrigated sector was to triple rice production in LAC while area did not grow, thus preserving more fragile environments. Several estimates on genetic gains for grain yield have been carried out in LAC. In temperate irrigated rice, the estimates are around 1.5-2.6% per year. In the tropical irrigated, it is ~1% and in the upland rice the estimate is ~1.4% per year.
Different breeding strategies, including pedigree, modified bulk, recurrent selection methods, anther culture, interspecific crosses, composite populations, quantitative trait loci (QTL) introgression, and recombinant inbred lines, accompanied by shuttle breeding schemes, direct seeding, and evaluation/selection in hot spots for main diseases are being used by CIAT and NARES in the region. In this process, methods for screening for diseases and other stresses were established. Networking has been a cornerstone for success and several networks such as INGER, FLAR, and HIAAL were created.
Looking forward, as farmers' yields are approaching the genetic yield potential exhibited by current cultivars, as a result of improved agronomic man... Presentar Todo |
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Palabras claves : |
RICE. |
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Thesagro : |
ARROZ; FITOMEJORAMIENTO; LATINOAMERICA. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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Marc : |
LEADER 03360naa a2200565 a 4500
001 1056100
005 2019-10-11
008 2014 bl uuuu u00u1 u #d
024 7 $a10.1002/9781118916865.ch05$2DOI
100 1 $aMARTÍNEZ, C.P.
245 $aRice breeding in Latin America.$h[electronic resource]
260 $c2014
520 $aRice breeding has made important contributions to Latin America. More than 400 cultivars were released from 1975 to 2012, which helped to raise total production to >27 million tonnes obtained from 5.7 million hectares (average for 2010-2012). Rice production provides ~US$8.8 billion for thousands of farmers in Latin America and the Caribbean (LAC). The result of higher yields in the irrigated sector was to triple rice production in LAC while area did not grow, thus preserving more fragile environments. Several estimates on genetic gains for grain yield have been carried out in LAC. In temperate irrigated rice, the estimates are around 1.5-2.6% per year. In the tropical irrigated, it is ~1% and in the upland rice the estimate is ~1.4% per year. Different breeding strategies, including pedigree, modified bulk, recurrent selection methods, anther culture, interspecific crosses, composite populations, quantitative trait loci (QTL) introgression, and recombinant inbred lines, accompanied by shuttle breeding schemes, direct seeding, and evaluation/selection in hot spots for main diseases are being used by CIAT and NARES in the region. In this process, methods for screening for diseases and other stresses were established. Networking has been a cornerstone for success and several networks such as INGER, FLAR, and HIAAL were created. Looking forward, as farmers' yields are approaching the genetic yield potential exhibited by current cultivars, as a result of improved agronomic management, a new breakthrough is needed in terms of more productive cultivars. To achieve this goal, a strategy is needed that includes strong pipelines focused on specific environments and markets; better product profiling; integration between discovery, development, and delivery; and new breeding strategies using cutting-edge technologies and new breeding methods to accelerate genetic gains.
650 $aARROZ
650 $aFITOMEJORAMIENTO
650 $aLATINOAMERICA
653 $aRICE
700 1 $aTORRES, E.A.
700 1 $aCHATEL, M.
700 1 $aMOSQUERA, G.
700 1 $aDUITAMA, J.
700 1 $aISHITANI, M.
700 1 $aSELVARAJ, M.
700 1 $aDEDICOVA, B.
700 1 $aTOHME, J.
700 1 $aGRENIER, C.
700 1 $aLORIEUX, M.
700 1 $aCRUZ, M.
700 1 $aBERRÍO, L.
700 1 $aCORREDOR, E.
700 1 $aZORRILLA DE SAN MARTÍN, G.
700 1 $aBRESEGHELLO, F.
700 1 $aPEIXOTO, O.
700 1 $aCOLOMBARI FILHO, J.M.
700 1 $aCASTRO, A. PEREIRA DE
700 1 $aLOPES, S.I. GINDRI
700 1 $aBARBOSA, M.
700 1 $aFUNCK, G.R. DALTROZZO
700 1 $aBLANCO, P.H.
700 1 $aPÉREZ DE VIDA, F.
700 1 $aMOLINA, F.
700 1 $aROSAS, J.E.
700 1 $aMARTÍNEZ, S.
700 1 $aBONNECARRERE, V.
700 1 $aCARRACELAS, G.
700 1 $aMARIN, A.
700 1 $aCORREA-VICTORIA, F.
700 1 $aCAMARGO, I.
700 1 $aBRUZZONE, C.B .
773 $tPlant Breeding Reviews, 2014$gv.38, p. 187-277., 2014
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