[Predicción NIR de carbohidratos hidrosolubles en trébol blanco y su relación genética con tolerancia al frio]

In temperate climates, cold stress constrains productivity of white clover (Trifolium repens L.), the most important perennial forage legume in intensive grazing systems for ruminants. Metabolism of water sugar carbohydrate (WSC) has been proposed as an important trait conferring cold tolerance to white clover. Conventional methodologies for WSC determination are considered high-cost and time-consuming. Near-infrared (NIR) spectroscopy is a robust, reliable, and high-throughput methodology to estimate chemical composition of forage species. The objectives of this work were to determine the accuracy of NIR spectroscopy for predicting WSC in stolon samples of white clover, and to evaluate the genetic relationship between WSC and cold tolerance. A white clover association mapping (WCAM) population was stablished in three location that represent a winter low temperature gradient associated with altitude. Dry matter production and some morphological traits were evaluated during three growing seasons. Samples for WSC determination were collected three time during a winter period. Samples were scanned with a NIR system, and a prediction model for WSC was fitted using partial least squares (PLS) regression

Bibliographic Details

Main Authors:	Inostroza F., Luis, Lobos O., Iris, Acuña P., Hernán, Vásquez, Catalina, Tapia, Gerardo, Monzon, Gerson
Format:	Artículo biblioteca
Published:	2017
Subjects:	trebol blanco, genetica vegetal, espectrometria, espectroscopia infrarroja,
Online Access:	https://hdl.handle.net/20.500.14001/40881
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