E-viri
Recenzirano
Odprti dostop
-
Breseghello, Flavio; Mello, Raquel Neves; Pinheiro, Patrícia Valle; Soares, Dino Magalhães; Lopes Júnior, Sergio; Nakano Rangel, Paulo Hideo; Guimarães, Elcio Perpétuo; Castro, Adriano Pereira; Colombari Filho, José Manoel; Magalhães Júnior, Ariano Martins; Fagundes, Paulo Ricardo Reis; Carvalho Ferreira Neves, Péricles; Furtini, Isabela Volpi; Utumi, Marley Marico; Pereira, José Almeida; Cordeiro, Antônio Carlos Centeno; Filho, Austrelino Silveira; Abreu, Guilherme Barbosa; Moura Neto, Francisco Pereira; Pietragalla, Julian; Hernández, Mateo Vargas; Crossa, José
Crop science, September/October 2021, 2021-09-00, Letnik: 61, Številka: 5Journal Article
Embrapa has led breeding programs for irrigated and upland rice (Oryza sativa L.) since 1977, generating a large amount of pedigree and phenotypic data. However, there were no systematic standards for data recording nor long‐term data preservation and reuse strategies. With the new aim of making data reuse practical, we recovered all data available and structured it into the Embrapa Rice Breeding Dataset (ERBD). In its current version, the ERBD includes 20,504 crosses involving 9,974 parents, the pedigrees of most of the 4,532 inbred lines that took part in advanced field trials, and phenotypic data from 2,711 field trials (1,118 irrigated, 1,593 upland trials), representing 226,458 field plots. Those trials were conducted over 38 years (1982–2019), in 247 locations, in latitudes ranging from 3°N to 33°S. Phenotypic traits included grain yield, days to flowering, plant height, canopy lodging, and five important fungal diseases: leaf blast, panicle blast, brown spot, leaf scald, and grain discoloration. The total number of data points surpasses 1.27 million. Descriptive statistics were computed over the dataset, split by cropping systems (irrigated or upland). The mean heritability of grain yield was high for both systems, at around .7, whereas the mean coefficient of variation was 13.9% for irrigated trials and 18.7% for upland trials. The ERBD offers the possibility of conducting studies on different aspects of rice breeding and genetics, including genetic gain, G×E analysis, genome‐wide association studies and genomic prediction. Core Ideas Historical datasets are useful for genetic research and development of breeding tools. Phenotypic data from crop breeding programs connect elite genotypes with target environments. Converting available records in analyzable format is a worthwhile investment.
Avtor
![loading ... loading ...](themes/default/img/ajax-loading.gif)
Vnos na polico
Trajna povezava
- URL:
Faktor vpliva
Dostop do baze podatkov JCR je dovoljen samo uporabnikom iz Slovenije. Vaš trenutni IP-naslov ni na seznamu dovoljenih za dostop, zato je potrebna avtentikacija z ustreznim računom AAI.
Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
---|---|---|---|---|---|---|---|---|
JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
Baze podatkov, v katerih je revija indeksirana
Ime baze podatkov | Področje | Leto |
---|
Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
---|
Vir: Osebne bibliografije
in: SICRIS
To gradivo vam je dostopno v celotnem besedilu. Če kljub temu želite naročiti gradivo, kliknite gumb Nadaljuj.