Genotype × environment interactions for chilling tolerance of rice recombinant inbred lines under different low temperature environments

Jiang, Wenzhu; Lee, Joohyun; Chu, Sang-Ho; Ham, Tae-Ho; Woo, Mi-Ok; Cho, Young-Il; Chin, Joong Hyoun; Han, Longzhi; Xuan, Yingshi; Yuan, Donglin; Xu, Fei; Dai, Lei; Yea, Jong-Doo; Koh, Hee‐Jong

doi:10.1016/j.fcr.2010.03.007

Cited by 18 publications

(21 citation statements)

References 28 publications

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“…G 9 E is an important factor that determines the stability of crop production in unfavorable environments (Cooper 1999;Lanceras et al 2004). When G 9 E interactions are present, a genotype has good performance grown in a specific environment, whereas the lack of G 9 E interactions allows a genotype to be grown in a broader range of environments (Jiang et al 2010). Cooper and Somrith (1997) have reported that G 9 E interaction plays a relatively important role in the yield of rice grown in rain-fed lowlands.…”

Section: A Cluster Of Qtls Stably Expressed In Diverse Environmentsmentioning

confidence: 98%

Impact of seasonal changes on spikelets per panicle, panicle length and plant height in rice (Oryza sativa L.)

et al. 2011

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Temperature and photoperiod fluctuate rapidly in different seasons of the year, and analyzing their effects on rice yield components is crucial for adaptation of rice under various climatic conditions. To study the effects of seasonal changes on yield components, 168 recombinant inbred lines derived from a cross between two Oryza sativa L. indica varieties, Zhenshan 97 and Zhongzao 18 were grown for phenotype collection, in three different seasons, within a year. The results implied that temperatures across the three seasons played a crucial role in determining the trait effects. Spikelets per panicle (SPP), panicle length (PL) and plant height (PH) traits increased with high temperatures in middle season. Genetic analysis detected major quantitative trait loci (QTLs) qSPP10, qPL10 and qPH10 for SPP, PL and PH in the interval between markers RM1375 and RM3229 on chromosome 10, in all the three seasons. Two-way ANOVA showed that genotype by environment and QTL by environment interactions for these traits were highly significant (P \ 0.0001). The region with a cluster of QTLs detected in all three seasons could be the preferred target to breeders in developing rice varieties that can be accustomed to different seasonal changes.

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Section: A Cluster Of Qtls Stably Expressed In Diverse Environmentsmentioning

confidence: 98%

Impact of seasonal changes on spikelets per panicle, panicle length and plant height in rice (Oryza sativa L.)

et al. 2011

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“…One set of RILs (F 6 , MT-RILs) consisted of 166 lines derived from the cross between Milyang 23 and Tong 88-7 by single seed descent (SSD) (Jiang et al, 2010). The other set of RILs (F 8 , DT-RILs) consisted of 166 lines derived from the cross between Dasanbyeo and TR22183 by SSD (Cho et al, 2007).…”

Section: Plant Materialsmentioning

confidence: 99%

Identification of QTLs for Seed Germination Capability after Various Storage Periods Using Two RIL Populations in Rice

Jiang

Lee

Jin

et al. 2011

Molecules and Cells

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Seed germination capability of rice is one of the important traits in the production and storage of seeds. Quantitative trait loci (QTL) associated with seed germination capability in various storage periods was identified using two sets of recombinant inbred lines (RILs) which derived from crosses between Milyang 23 and Tong 88-7 (MT-RILs) and between Dasanbyeo and TR22183 (DT-RILs). A total of five and three main additive effects (QTLs) associated with seed germination capability were identified in MT-RILs and DT-RILs, respectively. Among them, six QTLs were identified repeatedly in various seed storage periods designated as qMT-SGC5.1, qMT-SGC7.2, and qMT-SGC9.1 on chromosomes 5, 7, and 9 in MT-RILs, and qDT-SGC2.1, qDT-SGC3.1, and qDT-SGC9.1 on chromosomes 2, 3, and 9 in DT-RILs, respectively. The QTL on chromosome 9 was identified in both RIL populations under all three storage periods, explaining up to 40% of the phenotypic variation. Eight and eighteen pairs additive × additive epistatic effect (epistatic QTL) were identified in MT-RILs and DT-RILs, respectively. In addition, several near isogenic lines (NILs) were developed to confirm six repeatable QTL effects using controlled deterioration test (CDT). The identified QTLs will be further studied to elucidate the mechanisms controlling seed germination capability, which have important implications for long-term seed storage.

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“…Minimum temperatures during the rainy season ranged from 18˝C to 25˝C while maximum temperatures ranged from 30˝C to 40˝C. (Avangard and Mustaqillik) and Korea (Jinbu) showed high cold tolerance under cold-water and greenhouse conditions showing 71% to 79% spikelet fertility [15,16]. Based on the hypothesis that the sowing date does not have any effect on the varieties, the objectives of this research were to identify cold tolerant rice genotypes that are adapted to the Sahel zone of West Africa and the agro-morphological traits associated with this adaptation.…”

Section: Air and Water Temperature In The Experiments Fieldmentioning

confidence: 99%

“…According to Dingkuhn and Miézan [14], temperatures below 18˝C can induce up to 50% sterility and this can reach up 100% at 10˝C in very sensitive varieties. In a study of reproductive stage cold tolerance conducted on 23 elite rice cultivars from eight countries, only accessions from Uzbekistan (Avangard and Mustaqillik) and Korea (Jinbu) showed high cold tolerance under cold-water and greenhouse conditions showing 71% to 79% spikelet fertility [15,16].…”

Section: Introductionmentioning

confidence: 99%

Agro-Morphological Evaluation of Rice (Oryza sativa L.) for Seasonal Adaptation in the Sahelian Environment

Ndour

Diouf

Bimpong³

et al. 2016

Agronomy

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Abstract:In the Sahel zone of West Africa that extends from Senegal to Chad, temperatures can vary from less than 15˝C to 25˝C from November to February. These low temperatures affect the growth, development and yield of rice plants, and therefore constitute a major constraint to rice production in the Sahel. In order to identify rice varieties tolerant to cold stress at different developmental stages, a diverse set of 224 rice germplasm was evaluated for yield and yield-related traits in Ndiaye, Senegal, using three different sowing dates. The first sowing date (October 2010), was chosen so as to expose the rice plants to cold stress at the reproductive stage while the rice crop planted at the second sowing date (January 2011) experienced cold stress at the vegetative stage. The third sowing date (July 2011) was the normal planting date for irrigated rice in the Sahel and it served as the control date when the crop does not experience any cold stress throughout its growth cycle. Among the data collected, significant genetic variation was detected and genotype-by-environment interaction was also significant for the traits. At the vegetative stage, cold stress reduced tillering and plant vigor and delayed flowering but increased yield, whereas at the reproductive stage, aside from delaying flowering, cold stress also inhibited panicle exsertion and reduced panicle length, spikelet fertility, grain filling and strongly reduced yields. Principal Component Analysis and correlation analysis using agro-morphological traits helped to identify genotypes that were tolerant to cold stress at either the vegetative or the reproductive stage and the traits associated with high yield under cold stress at each of these stages. Our results can be used to develop cold tolerant rice varieties adapted to double cropping in the Sahelian zone of West Africa.

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Genotype × environment interactions for chilling tolerance of rice recombinant inbred lines under different low temperature environments

Cited by 18 publications

References 28 publications

Impact of seasonal changes on spikelets per panicle, panicle length and plant height in rice (Oryza sativa L.)

Impact of seasonal changes on spikelets per panicle, panicle length and plant height in rice (Oryza sativa L.)

Identification of QTLs for Seed Germination Capability after Various Storage Periods Using Two RIL Populations in Rice

Agro-Morphological Evaluation of Rice (Oryza sativa L.) for Seasonal Adaptation in the Sahelian Environment

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