Stochastic simulation to optimize rice breeding at IRRI.

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Bibliographic Details
Title: Stochastic simulation to optimize rice breeding at IRRI.
Authors: Seck F; Rice Breeding Platform, International Rice Research Institute, Metro Manila, Philippines.; Department of Crop Science, National Agricultural Institute (ENSA), University Iba Der Thiam of Thiès, Thiès, Senegal., Prakash PT; Rice Breeding Platform, International Rice Research Institute, Metro Manila, Philippines., Covarrubias-Pazaran G; Rice Breeding Platform, International Rice Research Institute, Metro Manila, Philippines., Gueye T; Department of Crop Science, National Agricultural Institute (ENSA), University Iba Der Thiam of Thiès, Thiès, Senegal., Diédhiou I; Department of Crop Science, National Agricultural Institute (ENSA), University Iba Der Thiam of Thiès, Thiès, Senegal., Bhosale S; Rice Breeding Platform, International Rice Research Institute, Metro Manila, Philippines., Kadaru S; Rice Breeding Platform, International Rice Research Institute, Metro Manila, Philippines., Bartholomé J; CIRAD, UMR AGAP, Cali, Colombia.; AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France.; Crops for Nutrition and Health, International Center for Tropical Agriculture (CIAT), Cali, Colombia.
Source: Frontiers in plant science [Front Plant Sci] 2024 Nov 01; Vol. 15, pp. 1488814. Date of Electronic Publication: 2024 Nov 01 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101568200 Publication Model: eCollection Cited Medium: Print ISSN: 1664-462X (Print) Linking ISSN: 1664462X NLM ISO Abbreviation: Front Plant Sci Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1664-462X
DOI:10.3389/fpls.2024.1488814