Genetics of seedling stage low temperature tolerance of rice
type: CreativeWork
description: The world’s most important staple food is rice (Oryza sativa), which alone feeds more people than any other single crop. In South Asia, food security depends on the successful production of rice, but high population pressure and increased frequency of abiotic stresses associated with climate change, such as drought, flood, salinity and cold, threaten food security. As rice originated in tropical and subtropical regions, it is adapted to warm growing conditions, and low temperatures at the seedling stage can result in a wide range of negative effects. Due to global climate change, sudden episodes of low temperature now frequently affect many areas of Asia where such stresses to rice growth were previously rare. Therefore, the development of cultivars that are tolerant to low temperature at the seedling stage is expected to be one of the most effective and economical ways to improve rice production and especially the stability of rice production in areas that are prone to cold stress. To address this problem, three studies were conducted: (1) a comparison of new and previously published methods to screen rice seedlings for tolerance to low temperature, (2) a quantitative trait loci (QTL) analysis of two interconnected biparental populations, and (3), and a genome-wide association study (GWAS) on the japonica and basmati subset of the 3k rice genome project (3k RGP) panel (798 accessions phenotyped in this study). We hypothesized that using controlled environment chambers to mimick daily and weekly temperature variations of extremely cold years for rice growing areas that are prone to early season low temperatures would be more reliable and accurate for cold screening than short-duration, single-temperature stresses following warm germination and establishment common in standard protocols, as the mimicks better represent the real environment. With view of this, three treatment protocols were developed to mimic the cold seasons of two exceptionally cold years in Banglad…
abstract: The world’s most important staple food is rice (Oryza sativa), which alone feeds more people than any other single crop. In South Asia, food security depends on the successful production of rice, but high population pressure and increased frequency of abiotic stresses associated with climate change, such as drought, flood, salinity and cold, threaten food security. As rice originated in tropical and subtropical regions, it is adapted to warm growing conditions, and low temperatures at the seedling stage can result in a wide range of negative effects. Due to global climate change, sudden episodes of low temperature now frequently affect many areas of Asia where such stresses to rice growth were previously rare. Therefore, the development of cultivars that are tolerant to low temperature at the seedling stage is expected to be one of the most effective and economical ways to improve rice production and especially the stability of rice production in areas that are prone to cold stress. To address this problem, three studies were conducted: (1) a comparison of new and previously published methods to screen rice seedlings for tolerance to low temperature, (2) a quantitative trait loci (QTL) analysis of two interconnected biparental populations, and (3), and a genome-wide association study (GWAS) on the japonica and basmati subset of the 3k rice genome project (3k RGP) panel (798 accessions phenotyped in this study). We hypothesized that using controlled environment chambers to mimick daily and weekly temperature variations of extremely cold years for rice growing areas that are prone to early season low temperatures would be more reliable and accurate for cold screening than short-duration, single-temperature stresses following warm germination and establishment common in standard protocols, as the mimicks better represent the real environment. With view of this, three treatment protocols were developed to mimic the cold seasons of two exceptionally cold years in Banglad…
author: Sharma, Nirmal
language: en
keywords: Rice, Cold tolerance, QTL mapping, GWAS
date published: 2020-03-02T22:10:21Z
date modified: 2026-07-22T22:24:45Z
provider: University of Illinois - Urbana-Champaign
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: University of Illinois at Urbana-Champaign

PropertyValue
property ID: Handle
value: http://hdl.handle.net/2142/106311