A Quick and Simple In-house Screening Protocol for Cold-Tolerance at Seedling Stage in Rice

Khatun, Hasina; Biswas, P.; Hwang, Hung Goo; Kim, and Kyung-Min

doi:10.9787/pbb.2016.4.3.373

Cited by 11 publications

(11 citation statements)

References 13 publications

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“…LD score, % survivability and % recovery (Table 2). Khatun, et al [9] also reported cold sensitivity of these two varieties. Among the five genotypes tested for seedling stage cold tolerance, BR18 and Hbj.BVI showed moderate to high tolerance to cold stress at seedling stage, respectively.…”

Section: Discussionmentioning

confidence: 92%

“…Among the eight cultivars, BR1, BR18, BRRI dhan28, BRRI dhan29 and Hbj.B.VI were evaluated against artificial cold treatment for seedling stage cold tolerance following protocol described in Khatun, et al [9]. Cold tolerance was estimated based on leaf discoloration (LD) score following SES of IRRI, % Survival plants at day of scoring and % Recovery of plants after seven days of cold stress withdrawal.…”

Section: Methodsmentioning

confidence: 99%

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2017

Current Research in Agricultural Sciences

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Article HistoryAbiotic stresses limit crop growth at different growth stages resulting low yield of rice. Molecular characterization of parental materials gives precise information on the extent of genetic diversity exists between them. A set of 60 SSRs randomly distributed over 12 chromosomes were used to analyze eight cultivars intend to be used as parent in breeding programs to address cold and drought tolerance, and nutritional quality of rice. A total of 300 alleles were detected across the cultivars for 51 polymophic markers with 5.88 alleles per loci. On average 30.6% of the genotypes shared a common allele at any given locus. UPGMA cluster analysis showed that 67% common alleles were shared by the cultivars. The cultivars were clearly grouped into two distinct clusters at 67.0% genetic similarity. Hbj. BVI showing high tolerance to cold stress at seedling stage differed from cold susceptible BR1, BRRI dhan28 and BRRI dhan29 by 33% alleles while BR18 that showed moderately cold tolerance differed by 29.0 -29.9% alleles which indicated that only 3-4% alleles difference caused higher cold tolerance in Hbj. BVI. The moderate genetic distance between cold tolerant Hbj. BVI and high yielding BRRI dhan28 and BRRI dhan29 indicated that there is higher possibility of obtaining high yielding cold tolerant segregants from the crosses between them. On the other hand, Kalobokri, which had 31.7 mg zinc a kilogram of polished rice differed by 33.0% alleles from the drought tolerant rainfed low varieties BRRI dhan56 and BRRI dhan57 having moderate level of zinc (~20 mg/kg), which also indicated that crosses between them might produce progenies with higher nutritional quality under drought environment. Contribution/ Originality:This study is one of the few studies which have investigated the genetic distance between the parental lines that are intended to be used in the breeding program to address abiotic stresses, like drought and cold tolerance with high yield potential and enhanced nutritional quality, particularly zinc content in rice.

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Section: Discussionmentioning

confidence: 92%

Section: Methodsmentioning

confidence: 99%

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2017

Current Research in Agricultural Sciences

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“…Some studies used constant temperature varying from 4 to 12°C (Zhan et al 2005;Andaya and Mackill 2003;Qu et al 2003;Han et al 2005a, b) and some others used variable temperature over day to night (20/13°C by Park et al 2013, 10/6°C by Qian et al 2000. Khatun et al (2016) reported that cold water irrigation with constant 13°C in cold water tank at 3-leaf stage-seedlings of rice for 7 days is sufficiently enough to discriminate cold tolerant varieties from intolerant ones, and it is as good as constant 10°C treatment. Yoshida (1981) reported 10°C as the minimum critical value, below which rice seedlings get yellowing and stunted growth and loses potency to survive (Yoshida 1981).…”

Section: Discussionmentioning

confidence: 99%

“…Parents, check varieties, and F 2:3 progenies were evaluated under artificial cold stress condition using cold water irrigation in cold water tank in 2014 following the protocol described in Khatun et al (2016) with slight modification. Briefly, 30 seedlings of each of parents, check varieties, and F 3 families were raised in plastic trays filled with gravel free fertilized soil.…”

Section: Evaluation Of Cold Tolerance At Seedling Stagementioning

confidence: 99%

Mapping and validation of QTLs for cold tolerance at seedling stage in rice from an indica cultivar Habiganj Boro VI (Hbj.BVI)

et al. 2017

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Yellowing, stunting, and seedling death associated with cold stress is a common problem in many Asian countries for winter rice cultivation. Improvement of cultivars through marker-assisted selection of QTLs for cold tolerance at seedling stage from locally adapted germplasm/cultivar is the most effective and sustainable strategy to resolve this problem. A study was undertaken to map QTLs from 151 progenies of a cross between a cold susceptible variety, BR1 and a locally adapted traditional cultivar, Hbj.BVI. A total of six significant QTLs were identified for two cold tolerance indices-cold-induced leaf discoloration and survival rate after a recovery period of seven days on chromosomes 6, 8, 11, and 12. Among these QTLs,-- and -- being co-localized into RM7027-RM339 on chromosome 8 and -- and -- into RM247-RM2529 on chromosome 12 showed 12.78 and 14.96% contribution, respectively, to the total phenotypic variation for cold tolerance. Validation of QTL effect in BCF population derived a cross between a cold susceptible BRRI dhan28 and Hbj.BVI showed dominating effect of -- on cold tolerance at seedling stage and it became stronger when one or more other QTLs were co-segregated with it. These results suggest that the QTLs identified in this study are stable and effective on other genetic background also, which warrant the use of these QTLs for further study aiming to cultivar development for seedling stage cold tolerance.

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“…LTS causes loss of rice yields in several ways [17]. LTS during germination causes seedling death and delayed crop establishment [18], whereas during the vegetative stage, LTS reduces rice yield by reducing rice biomass [15]. LTS during jointing reduces grain yield by decreasing the number of spikelet per panicle [19].…”

Section: Introductionmentioning

confidence: 99%

Responses of Grain Yield and Yield Related Parameters to Post-Heading Low-Temperature Stress in Japonica Rice

Ali

Tang

Dai

et al. 2021

Plants

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There is unprecedented increase in low-temperature stress (LTS) during post-heading stages in rice as a consequence of the recent climate changes. Quantifying the effect of LTS on yields is key to unraveling the impact of climatic changes on crop production, and therefore developing corresponding mitigation strategies. The present research was conducted to analyze and quantify the effect of post-heading LTS on rice yields as well as yield and grain filling related parameters. A two-year experiment was conducted during rice growing season of 2018 and 2019 using two Japonica cultivars (Huaidao 5 and Nanjing 46) with different low-temperature sensitivities, at four daily minimum/maximum temperature regimes of 21/27 °C (T1), 17/23 °C (T2), 13/19 °C (T3) and 9/15 °C (T4). These temperature treatments were performed for 3 (D1), 6 (D2) or 9 days (D3), at both flowering and grain filling stages. We found LTS for 3 days had no significant effect on grain yield, even when the daily mean temperature was as low as 12 °C. However, LTS of between 6 and 9 days at flowering but not at filling stage significantly reduced grain yield of both cultivars. Comparatively, Huaidao 5 was more cold tolerant than Nanjing 46. LTS at flowering and grain filling stages significantly reduced both maximum and mean grain filling rates. Moreover, LTS prolonged the grain filling duration of both cultivars. Additionally, there was a strong correlation between yield loss and spikelet fertility, spikelet weight at maturity, grain filling duration as well as mean and maximum grain filling rates under post-heading LTS (p < 0.001). Moreover, the effect of post-heading LTS on rice yield can be well quantified by integrating the canopy temperature (CT) based accumulated cold degree days (ACDDCT) with the response surface model. The findings of this research are useful in modeling rice productivity under LTS and for predicting rice productivity under future climates.

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A Quick and Simple In-house Screening Protocol for Cold-Tolerance at Seedling Stage in Rice

Cited by 11 publications

References 13 publications

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Mapping and validation of QTLs for cold tolerance at seedling stage in rice from an indica cultivar Habiganj Boro VI (Hbj.BVI)

Responses of Grain Yield and Yield Related Parameters to Post-Heading Low-Temperature Stress in Japonica Rice

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