NIR-Prediction of water-soluble carbohydrate in white clover and its genetic relationship with cold tolerance

ABSTRACT 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 toler...

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Autores principales:	Inostroza,Luis, Lobos,Iris, Acuña,Hernán, Vásquez,Catalina, Tapia,Gerardo, Monzón,Gerson
Lenguaje:	English
Publicado:	Instituto de Investigaciones Agropecuarias, INIA 2017
Materias:	Broad sense heritability genetic correlation high-throughput phenotyping PLS regression Trifolium repens.
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392017000300218
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spelling	oai:scielo:S0718-583920170003002182017-11-09NIR-Prediction of water-soluble carbohydrate in white clover and its genetic relationship with cold toleranceInostroza,LuisLobos,IrisAcuña,HernánVásquez,CatalinaTapia,GerardoMonzón,Gerson Broad sense heritability genetic correlation high-throughput phenotyping PLS regression Trifolium repens. ABSTRACT 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. The adjusted prediction model achieved suitable predictive ability (R2 > 0.85). The WSC per se did not show significant genetic relationship with morphological and agronomically important traits. However, the WSC degradation rate (WSCdr) across the winter period showed significant genetic correlation with DM production during spring (rg = 0.64), which is the result of genetic/physiological mechanism expressed during the cold period. The NIR spectroscopy is a reliable and high-throughput methodology to predict WSC in stolon samples of white clover. The metabolism of WSC, evaluated as WSCdr, is involved in the cold tolerance of the WCAM population. The methodology implemented in this work is suitable to be applied in a plant breeding program routine.info:eu-repo/semantics/openAccessInstituto de Investigaciones Agropecuarias, INIAChilean journal of agricultural research v.77 n.3 20172017-09-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392017000300218en10.4067/S0718-58392017000300218
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Broad sense heritability genetic correlation high-throughput phenotyping PLS regression Trifolium repens.
spellingShingle	Broad sense heritability genetic correlation high-throughput phenotyping PLS regression Trifolium repens. Inostroza,Luis Lobos,Iris Acuña,Hernán Vásquez,Catalina Tapia,Gerardo Monzón,Gerson NIR-Prediction of water-soluble carbohydrate in white clover and its genetic relationship with cold tolerance
description	ABSTRACT 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. The adjusted prediction model achieved suitable predictive ability (R2 > 0.85). The WSC per se did not show significant genetic relationship with morphological and agronomically important traits. However, the WSC degradation rate (WSCdr) across the winter period showed significant genetic correlation with DM production during spring (rg = 0.64), which is the result of genetic/physiological mechanism expressed during the cold period. The NIR spectroscopy is a reliable and high-throughput methodology to predict WSC in stolon samples of white clover. The metabolism of WSC, evaluated as WSCdr, is involved in the cold tolerance of the WCAM population. The methodology implemented in this work is suitable to be applied in a plant breeding program routine.
author	Inostroza,Luis Lobos,Iris Acuña,Hernán Vásquez,Catalina Tapia,Gerardo Monzón,Gerson
author_facet	Inostroza,Luis Lobos,Iris Acuña,Hernán Vásquez,Catalina Tapia,Gerardo Monzón,Gerson
author_sort	Inostroza,Luis
title	NIR-Prediction of water-soluble carbohydrate in white clover and its genetic relationship with cold tolerance
title_short	NIR-Prediction of water-soluble carbohydrate in white clover and its genetic relationship with cold tolerance
title_full	NIR-Prediction of water-soluble carbohydrate in white clover and its genetic relationship with cold tolerance
title_fullStr	NIR-Prediction of water-soluble carbohydrate in white clover and its genetic relationship with cold tolerance
title_full_unstemmed	NIR-Prediction of water-soluble carbohydrate in white clover and its genetic relationship with cold tolerance
title_sort	nir-prediction of water-soluble carbohydrate in white clover and its genetic relationship with cold tolerance
publisher	Instituto de Investigaciones Agropecuarias, INIA
publishDate	2017
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392017000300218
work_keys_str_mv	AT inostrozaluis nirpredictionofwatersolublecarbohydrateinwhitecloveranditsgeneticrelationshipwithcoldtolerance AT lobosiris nirpredictionofwatersolublecarbohydrateinwhitecloveranditsgeneticrelationshipwithcoldtolerance AT acunahernan nirpredictionofwatersolublecarbohydrateinwhitecloveranditsgeneticrelationshipwithcoldtolerance AT vasquezcatalina nirpredictionofwatersolublecarbohydrateinwhitecloveranditsgeneticrelationshipwithcoldtolerance AT tapiagerardo nirpredictionofwatersolublecarbohydrateinwhitecloveranditsgeneticrelationshipwithcoldtolerance AT monzongerson nirpredictionofwatersolublecarbohydrateinwhitecloveranditsgeneticrelationshipwithcoldtolerance
_version_	1714205370108346368

NIR-Prediction of water-soluble carbohydrate in white clover and its genetic relationship with cold tolerance

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