2018
DOI: 10.2135/cropsci2017.07.0460
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Phenotypic Variation of Cold Stress Resistance‐Related Traits of White Clover Populations Naturalized in Patagonian Cold Environments

Abstract: White clover (Trifolium repens L.) is the main forage legume species in grazing pastures in central, central‐southern, and southern regions of Chile and many other temperate regions of the world. The selection of cold stress resistance genotypes is an important step for breeding cultivars to improve the clover growth curve and extend the grazing season in early spring and autumn. The objective of this work was to phenotypically characterize a population of 192 white clover genotypes selected for cold stress re… Show more

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Cited by 3 publications
(4 citation statements)
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“…The parameters of the PLS-DA evaluation model are explanatory rate of the model for the X matrices (R 2 X), explanatory rate of the model for the Y matrices (R 2 Y), and prediction ability of the model (Q 2 ). The spectral reflectance of each tomato seedling was used to calculate normalized difference vegetation index (NDVI), structure insensitive pigment index (SIPI), carotenoid reflectance index 1 (CRI1), carotenoid reflectance index 2 (CRI2), pigment specific normalized difference a (PSNDa) and pigment specific normalized difference b (PSNDb), which were closely related to the plant physiology (Blackburn, 1998;Gitelson et al, 2002;Vaśquez et al, 2018;Rasheed et al, 2020).…”
Section: Plant Hyperspectral Phenotypingmentioning
confidence: 99%
“…The parameters of the PLS-DA evaluation model are explanatory rate of the model for the X matrices (R 2 X), explanatory rate of the model for the Y matrices (R 2 Y), and prediction ability of the model (Q 2 ). The spectral reflectance of each tomato seedling was used to calculate normalized difference vegetation index (NDVI), structure insensitive pigment index (SIPI), carotenoid reflectance index 1 (CRI1), carotenoid reflectance index 2 (CRI2), pigment specific normalized difference a (PSNDa) and pigment specific normalized difference b (PSNDb), which were closely related to the plant physiology (Blackburn, 1998;Gitelson et al, 2002;Vaśquez et al, 2018;Rasheed et al, 2020).…”
Section: Plant Hyperspectral Phenotypingmentioning
confidence: 99%
“…In Chile, the PR and WC mixture is the primary forage resource for cattle and sheep production in irrigated areas with a Mediterranean climate and in humid regions (Acuña et al, 2016;Vásquez et al, 2018). This is because of its high productivity of forage with good nutritional value, tolerance to animal traffic, persistence, and low N fertilizer requirements (Jahufer et al, 2012;Annicchiarico et al, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Today, forage species are facing new challenges. They must persist and produce biomass in a range of marginal environments [11][12][13][14][15]. Furthermore, forage species must also confront the negative effects of water availability and environmental temperature caused of climate change [16].…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, forage species must also confront the negative effects of water availability and environmental temperature caused of climate change [16]. Thus, currently, plant persistence is also associated with the ability of the pasture to tolerate abiotic stresses [2,[11][12][13].…”
Section: Introductionmentioning
confidence: 99%