Fecha/hora: 16/06/2024 03:59:42

Biblioteca(s): | INIA Las Brujas.
Fecha corriente: | 24/02/2021
Fecha de la última actualización: | 24/02/2021
Autoria: | MARCHI, P. M.; CARVALHO, R.; HÖHN, D.; CARRA, B.; SZARESKI, V. J.; DINI, M.; VIZZOTTO, M.; ANTUNES, L. E. C.
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.
Título: | Genetic parameters prediction (REML/BLUP) for morphological, physical-chemical, phytochemical, and mineral components of primocane-fruiting raspberries.
Año de publicación: | 2019
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
ISSN: | 1676-5680
DOI: | 10.4238/gmr18254
Idioma: | Inglés
Notas: | Article history: Received February 04, 2019; Accepted May 17, 2019; Published May 24, 2019.

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.

Palabras-Clave: | Berries; Heritability; Plant breeding; RELM/BLUP; Rubus idaeus; Small fruits.
Categoría del tema: | F30 Genética vegetal y fitomejoramiento

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

Registro original: | INIA Las Brujas (LB)
Ejemplares: | LB - (102502-1) - PXI - AP - DD - PP/GMR/2019 -  -  - DIS