Estimation of Genetic Parameters and Prediction of Breeding Values for Fruit-Quality Traits in Hybrid Mangoes

Autor: Jéssica Giordano Paranhos, Francine Hiromi Ishikawa, Maria Auxiliadora Coêlho de Lima, Francisco Pinheiro Lima Neto
Přispěvatelé: JÉSSICA GIORDANO PARANHOS, Mestranda da UNIVASF, FRANCINE HIROMI ISHIKAWA, Mestranda da UNIVASF, MARIA AUXILIADORA COELHO DE LIMA, CPATSA, FRANCISCO PINHEIRO LIMA NETO, CPATSA.
Rok vydání: 2022
Předmět:
Zdroj: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
ISSN: 1553-8621
1553-8362
DOI: 10.1080/15538362.2022.2080791
Popis: Genetic parameters to fruit quality of mango hybrids were estimated using a mixed model REM/BLUP. Twenty-seven hybrids (Tommy Atkins cross with Haden, Palmer, Van Dyke, Kent and Coquinho) were evaluated, in two crop seasons. Physical and chemical traits analyzed were weight, longitudinal length, transverse diameter, fiber presence, pulp firmness, skin and pulp color, fibers presence titratable acidity, and soluble solids (SS). Repeatability varying from 0.53 (SS) to 0.89 (diameter). Selective Accuracy (Acm) based on average harvests varying from 0.73 (SS) to 0.94 (weight, length, and diameter). According to selection gain and the new averages the most promising hybrids were selected. Made available in DSpace on 2022-09-05T13:22:36Z (GMT). No. of bitstreams: 1 Estimation-of-Genetic-Parameters-and-Prediction-of-Breeding-Values-for-Fruit-Quality-2022.pdf: 904941 bytes, checksum: 0136036aee0669733bf4180d81522c13 (MD5) Previous issue date: 2022
Databáze: OpenAIRE
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