Citas bibligráficas
Garrido, G., (2024). Identificación de líneas de arroz (Oryza sativa L.) adaptadas a déficit hídrico en fase vegetativa en el valle Chancay – Lambayeque [Universidad Nacional Agraria La Molina]. https://hdl.handle.net/20.500.12996/6282
Garrido, G., Identificación de líneas de arroz (Oryza sativa L.) adaptadas a déficit hídrico en fase vegetativa en el valle Chancay – Lambayeque []. PE: Universidad Nacional Agraria La Molina; 2024. https://hdl.handle.net/20.500.12996/6282
@misc{renati/248377,
title = "Identificación de líneas de arroz (Oryza sativa L.) adaptadas a déficit hídrico en fase vegetativa en el valle Chancay – Lambayeque",
author = "Garrido Chuquipiondo, Gerly Marianne",
publisher = "Universidad Nacional Agraria La Molina",
year = "2024"
}
Rice is one of the most important foods for the basic basket of Peruvians. Its production demands large quantities of water to obtain optimal yields. For this reason, one of the great challenges of rice production is to save water without reducing crop yields. The alternative presented in this study is to identify genotypes adapted to water stress conditions that allow good development when managed with periods of drought with the “Alternate Wetting and Drying“ (AWD) irrigation technique. This research was carried out at the Vista Florida Experimental Station of the National Institute of Agrarian Innovation (INIA) of Lambayeque in the 2019 - 2020 agricultural campaign. Two irrigation management treatments were evaluated: (1) Permanent flooding system, (2) AWD with a period of water stress of 15 days in the vegetative phase and flooded irrigation for the rest of the phenological phases in 17 genotypes. The main objective was to identify the genotypes with greater adaptation to flooding and water stress conditions, and analyze the influence that both environments had on grain yield and characteristics related to yield. As a result, it was obtained that the permanent flooding system had the highest yield (8.29 t. ha-1) compared to the yield achieved in water stress (5.64 t. ha-1). The selection indices of geometric mean productivity, mean productivity, harmonic mean and stress tolerance index identify the TP 30758 and TP 30598 genotypes as the most adapted in both environments.
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