scholarly journals Identification and Regionalization of Cold Resistance of Wine Grape Germplasms (V. vinifera)

Agriculture ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1117
Author(s):  
Zhilei Wang ◽  
Ying Wang ◽  
Dong Wu ◽  
Miao Hui ◽  
Xing Han ◽  
...  
Keyword(s):  
Skin Color ◽  
Cold Hardiness ◽  
Cold Resistance ◽  
Global Climate ◽  
Freezing Injury ◽  
Limiting Factor ◽  
Wine Grape ◽  
Soil Burial ◽  
C 71 ◽  
C 30

With the extreme changes of the global climate, winter freezing injury has become an important limiting factor for the development of the global grape industry. Therefore, there is a significant need for the screening of cold-resistant wine grape germplasms and cold regionalization for cold-resistant breeding and the development of grapevine cultivation in cold regions. In this study, the low-temperature half-lethal temperature (LT50) values were determined for the annual dormant branches of 124 wine grape germplasms (V. vinifera) to evaluate their cold resistance. The LT50 values of the 124 tested germplasms ranged from −22.01 °C to −13.18 °C, with six cold-resistant germplasms below −20 °C. Based on the LT50 values, the 124 germplasms were clustered into four types, with cold resistance from strong to weak in the order of type Ⅱ > type Ⅰ > type Ⅳ > type Ⅲ, corresponding to the four cold hardiness zones. Zones 1, 2, 3, and 4 included 6, 22, 68, and 28 germplasms, respectively, with decreasing cold resistance. The number of germplasms in different hardiness zones followed a normal distribution, with the most in zone 3. In Type Ⅱ, the fruit skin color of germplasms was positively correlated with cold hardiness, while the temperature of origin was negatively correlated with cold hardiness. The average LT50 of germplasms in different origin regions ranged from −17.44 °C to −16.26 °C, with differences among some regions. The cold regionalization analysis resulted in the distribution of 124 germplasms in four temperature regions in China with six germplasms in region A (−22 °C ≤ LT50 ≤ −20 °C), 30 germplasms in region B (−20°C ≤ LT50 ≤ −18°C), 71 germplasms in region C (−18 °C ≤ LT50 ≤ −15 °C), and 17 germplasms in region D (−15 °C ≤ LT50 ≤ −13 °C). Strong cold-resistant wine grape germplasms (V. vinifera) were identified, and these could be used as parental material for cold-resistant breeding. In some areas in China, soil-burial over-wintering strategies are used, but our results suggest that some wine grapes could be cultivated without requiring winter burial during overwintering. The results of this study should provide guidance for the selection of promising strains for cold-resistant breeding for expanded cultivation of improved varieties for wine grape production in China.

scholarly journals BSR-Seq Analysis Provides Insights into Cold Stress in Actinidia Arguta F1 Populations

2020 ◽  
Author(s):  
Miao miao Lin ◽  
Shihang Sun ◽  
Jinbao Fang ◽  
Xiujuan Qi ◽  
Leiming Sun ◽  
...  
Keyword(s):  
Differentially Expressed Genes ◽  
Single Molecule ◽  
Cold Hardiness ◽  
Molecular Mechanisms ◽  
Cold Resistance ◽  
Differentially Expressed ◽  
Freezing Injury ◽  
Actinidia Arguta ◽  
Cold Tolerant ◽  
Cold Sensitive

Abstract BackgroundThe freezing injury, which is one of the important abiotic stresses in horticultural crops, can influences the growth and development and the production area of kiwifruit (Actinidia Lind1). Actinidia arguta has excellent cold resistance in Actinidia species, but knowledge relevant to molecular mechanisms is still limited so far. Understanding the mechanism of cold resistance in kiwifruit is important for cold-resistant breeding. ResultsIn our study, a cross of ‘Ruby-3’בKuilv’ male was built for the A. arguta hardiness study, and 20 cold-tolerant and 20 cold-sensitive populations were selected from 492 populations according to LT50. Then, we performed Bulked segregant RNA-seq combined with single-molecule real-time sequencing to identify differentially expressed genes with cold hardiness. We found that the content of soluble sucrose and the activity of β-amylase were higher in the cold tolerant population pool than in the cold sensitive population pool. Upon -30°C low temperature treatment, 126 differentially expressed genes were found, and 59 genes were upregulated and 67 genes were downregulated when comparing the tolerant and sensitive pools, respectively. KEGG pathway analysis showed that the DEGs mainly belonged to starch and sucrose metabolism and amino sugar and nucleotide sugar metabolism. There were main 10 key enzyme encoding genes and two regulatory genes were up regulated in tolerant pool, regulated genes of CBF pathway were found to be different expressed, especially, 14-3-3 gene was down regulated and EBF gene was up regulated. To validate the BSR-Seq results, 24 DEGs were determined by qRT-PCR, and the results were consistent with BSR-Seq.ConclusionOur research provides valuable insights into the mechanism related to cold resistance in Actinidia and identified potential genes that are important for cold resistance in kiwifruit.

scholarly journals BSR-Seq analysis provides insights into the cold stress response of Actinidia arguta F1 populations

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Miaomiao Lin ◽  
Shihang Sun ◽  
Jinbao Fang ◽  
Xiujuan Qi ◽  
Leiming Sun ◽  
...  
Keyword(s):  
Differentially Expressed Genes ◽  
Cold Hardiness ◽  
Molecular Mechanisms ◽  
Cold Resistance ◽  
Regulatory Genes ◽  
Differentially Expressed ◽  
Freezing Injury ◽  
Actinidia Arguta ◽  
Cold Tolerant ◽  
Cold Sensitive

Abstract Background Freezing injury, which is an important abiotic stress in horticultural crops, influences the growth and development and the production area of kiwifruit (Actinidia Lind1). Among Actinidia species, Actinidia arguta has excellent cold resistance, but knowledge relevant to molecular mechanisms is still limited. Understanding the mechanism underlying cold resistance in kiwifruit is important for breeding cold resistance. Results In our study, a population resulting from the cross of A. arguta ‘Ruby-3’ × ‘Kuilv’ male was generated for kiwifruit hardiness study, and 20 cold-tolerant and 20 cold-sensitive populations were selected from 492 populations according to their LT50. Then, we performed bulked segregant RNA-seq combined with single-molecule real-time sequencing to identify differentially expressed genes that provide cold hardiness. We found that the content of soluble sucrose and the activity of β-amylase were higher in the cold-tolerant population than in the cold-sensitive population. Upon − 30 °C low-temperature treatment, 126 differentially expressed genes were identify; the expression of 59 genes was up-regulated and that of 67 genes was down-regulated between the tolerant and sensitive pools, respectively. KEGG pathway analysis showed that the DEGs were primarily related to starch and sucrose metabolism, amino sugar and nucleotide sugar metabolism. Ten major key enzyme-encoding genes and two regulatory genes were up-regulated in the tolerant pool, and regulatory genes of the CBF pathway were found to be differentially expressed. In particular, a 14–3-3 gene was down-regulated and an EBF gene was up-regulated. To validate the BSR-Seq results, 24 DEGs were assessed via qRT-PCR, and the results were consistent with those obtained by BSR-Seq. Conclusion Our research provides valuable insights into the mechanism related to cold resistance in Actinidia and identified potential genes that are important for cold resistance in kiwifruit.

Current state of cold hardiness research on fruit crops

1997 ◽  
Vol 77 (3) ◽  
pp. 399-420 ◽  
Author(s):  
Pauliina Palonen ◽  
Deborah Buszard
Keyword(s):  
Cold Hardiness ◽  
Cultural Practices ◽  
Limiting Factor ◽  
Screening Methods ◽  
Fruit Crops ◽  
Factors Affecting ◽  
Fruit Species ◽  
Current State ◽  
Deep Supercooling ◽  
Cold Hardy

This article gives an overview of the current state of cold hardiness research in fruit crops by reviewing the recently published studies on cold hardiness of both tree fruit and berry crops. Topics discussed include cold hardiness of fruit species, cultivars and different plant organs, biophysical and biochemical aspects of hardiness, evaluation of hardiness, as well as endogenous, cultural and environmental factors affecting cold hardiness in these species. Lack of cold hardiness is a major limiting factor for production of fruit crops in many regions of the world and improved cold hardiness one of the major objectives in numerous breeding programs and research projects. Screening cultivars or selections for cold hardiness is commonly done, and different methods applied to the evaluation of hardiness are discussed. The physical limit of deep supercooling may be a restricting factor for expanding the production of some fruit crops, such as Prunus species and pear. As for biochemical aspects, a relationship between carbohydrates and cold hardiness is most commonly found. Studies have also been made on different hardiness modifying cultural factors including rootstock, crop load, raised beds and application of growth regulators. The latter seems promising for some species. Cold hardiness is an extremely complex phenomenon and understanding different mechanisms involved is critical. Since hardiness is, however, primarily affected by genotype, developing cold-hardy fruit cultivars and effective screening methods for hardiness are essential. Finally, cultural practices may be improved to further enhance hardiness. Key words: Berries, cold hardiness, fruits, small fruits, stress, winter hardiness

Anticipating the computational performance of Earth System Models for pre-exascale systems

2021 ◽  
Author(s):  
Xavier Yepes-Arbós ◽  
Miguel Castrillo ◽  
Mario C. Acosta ◽  
Kim Serradell
Keyword(s):  
Computational Efficiency ◽  
Climate Model ◽  
Global Climate ◽  
Horizontal Resolution ◽  
Limiting Factor ◽  
Earth System ◽  
Computational Point ◽  
System Models ◽  
Computational Performance ◽  
Earth System Models

<p>The increase in the capability of Earth System Models (ESMs) is strongly linked to the amount of computing power, given that the spatial resolution used for global climate experimentation is a limiting factor to correctly reproduce climate mean state and variability. However, higher spatial resolutions require new High Performance Computing (HPC) platforms, where the improvement of the computational efficiency of ESMs will be mandatory. In this context, porting a new ultra-high resolution configuration into a new and more powerful HPC cluster is a challenging task, involving technical expertise to deploy and improve the computational performance of such a novel configuration.</p><p>To take advantage of this foreseeable landscape, the new EC-Earth 4 climate model is being developed by coupling OpenIFS 43R3 and NEMO 4 as atmosphere and ocean components respectively. An important effort has been made to improve the computational efficiency of this new EC-Earth version, such as extending the asynchronous I/O capabilities of the XIOS server to OpenIFS. </p><p>In order to anticipate the computational behaviour of EC-Earth 4 for new pre-exascale machines such as the upcoming MareNostrum 5 of the Barcelona Supercomputing Center (BSC), OpenIFS and NEMO models are therefore benchmarked on a petascale machine (MareNostrum 4) to find potential computational bottlenecks introduced by new developments or to investigate if previous known performance limitations are solved. The outcome of this work can also be used to efficiently set up new ultra-high resolutions from a computational point of view, not only for EC-Earth, but also for other ESMs.</p><p>Our benchmarking consists of large strong scaling tests (tens of thousands of cores) by running different output configurations, such as changing multiple XIOS parameters and number of 2D and 3D fields. These very large tests need a huge amount of computational resources (up to 2,595 nodes, 75 % of the supercomputer), so they require a special allocation that can be applied once a year.</p><p>OpenIFS is evaluated with a 9 km global horizontal resolution (Tco1279) and using three different output data sets: no output, CMIP6-based fields and huge output volume (8.8 TB) to stress the I/O part. In addition, different XIOS parameters, XIOS resources, affinity, MPI-OpenMP hybridisation and MPI library are tested. Results suggest new features introduced in 43R3 do not represent a bottleneck in terms of performance as the model scales. The I/O scheme is also improved when outputting data through XIOS according to the scalability curve.</p><p>NEMO is scaled using a 3 km global horizontal resolution (ORCA36) with and without the sea-ice module. As in OpenIFS, different I/O configurations are benchmarked, such as disabling model output, only enabling 2D fields, or either producing 3D variables on an hourly basis. XIOS is also scaled and tested with different parameters. While NEMO has good scalability during the most part of the exercise, a severe degradation is observed before the model uses 70% of the machine resources (2,546 nodes). The I/O overhead is moderate for the best XIOS configuration, but it demands many resources.</p>

Red Spruce (Picea rubens Sarg.) Cold Hardiness and Freezing Injury Susceptibility

2001 ◽  
pp. 495-529 ◽  
Author(s):  
Donald H. DeHayes ◽  
Paul G. Schaberg ◽  
G. Richard Strimbeck
Keyword(s):  
Cold Hardiness ◽  
Picea Rubens ◽  
Red Spruce ◽  
Freezing Injury

scholarly journals Dynamic modelling of cold-hardiness in tea buds by imitating past temperature memory

2020 ◽  
Author(s):  
Kensuke Kimura ◽  
Daisuke Yasutake ◽  
Takahiro Oki ◽  
Koichiro Yoshida ◽  
Masaharu Kitano
Keyword(s):  
Cold Stress ◽  
Cold Acclimation ◽  
Dynamic Model ◽  
Cold Hardiness ◽  
Global Climate ◽  
Effective Means ◽  
Dynamic Modelling ◽  
Short Term ◽  
Mean Square Errors

Abstract Background and Aims Most perennial plants memorize cold stress for a certain period and retrieve the memories for cold acclimation and deacclimation, which leads to seasonal changes in cold-hardiness. Therefore, a model for evaluating cold stress memories is required for predicting cold-hardiness and for future frost risk assessments under warming climates. In this study we develop a new dynamic model of cold-hardiness by introducing a function imitating past temperature memory in the processes of cold acclimation and deacclimation. Methods We formulated the past temperature memory for plants using thermal time weighted by a forgetting function, and thereby proposed a dynamic model of cold-hardiness. We used the buds of tea plants (Camellia sinensis) from two cultivars, ‘Yabukita’ and ‘Yutakamidori’, to calibrate and validate this model based on 10 years of observed cold-hardiness data. Key Results The model captured more than 90 % of the observed variation in cold-hardiness and predicted accurate values for both cultivars, with root mean square errors of ~1.0 °C. The optimized forgetting function indicated that the tea buds memorized both short-term (recent days) and long-term (previous months) temperatures. The memories can drive short-term processes such as increasing/decreasing the content of carbohydrates, proteins and antioxidants in the buds, as well as long-term processes such as determining the bud phenological stage, both of which vary with cold-hardiness. Conclusions The use of a forgetting function is an effective means of understanding temperature memories in plants and will aid in developing reliable predictions of cold-hardiness for various plant species under global climate warming.

Duration of hardening and cold hardiness in winter wheat

1979 ◽  
Vol 57 (14) ◽  
pp. 1511-1517 ◽  
Author(s):  
D. W. A. Roberts
Keyword(s):  
Winter Wheat ◽  
Cold Hardiness ◽  
Cold Resistance ◽  
Maximum Level ◽  
Late Winter ◽  
Carbohydrate Reserves ◽  
Stage Of Development ◽  
Temperature Regimes ◽  
Number Of Leaves ◽  
Additional Reason

Experiments in which winter wheat plants were exposed to two different controlled hardening-temperature regimes (constant 3 °C, and 5.5 °C (day): 3.5 °C (night)) for long periods (up to 15 weeks) indicate that cold hardiness changes with time.The cold hardiness in plants grown from seed at 3 °C drops rapidly immediately after moistening and reaches a minimum 2–3 weeks later. Hardiness then begins to increase and reaches a maximum that lasts approximately from the 7th to the 11th week of growth after which it slowly declines.The patterns of change in cold hardiness during growth at 3 °C, and 5.5 °C:3.5 °C were almost synchronous if hardiness was plotted against duration of hardening, but were not synchronous if hardiness was plotted against stage of development as measured by the number of leaves produced. A somewhat similar result was obtained if plants grown for 3 weeks at 21 °C before hardening were compared with plants grown from dry seeds under the same hardening conditions. These experiments show that duration of hardening is more important in determining the level of cold resistance and the ability of wheat to retain its cold resistance than is stage of development, as measured by the number of leaves produced at the time cold resistance is measured.When plants seeded outdoors in mid-September were transferred at various dates (0–30 weeks after seeding) during the fall or winter to standardized hardening conditions in a growth cabinet for 0–15 weeks before freezing, their cold resistance changed in a way that suggests that plants in the field undergo the same pattern of changes in cold resistance as plants reared continuously in a growth chamber. This result suggests that the long exposure to hardening temperatures is one of the reasons why wheat in the field has less cold resistance in late winter than in autumn. Loss of carbohydrate reserves during winter may be an additional reason for this phenomenon.Under both growth cabinet and field conditions, increasing cold hardiness coincided with vernalization. Maximum cold hardiness was retained for several weeks after the completion of vernalization. These results suggest that the development of the maximum level of cold resistance may be related to the vernalization process.

scholarly journals Sensitivity in the antioxidant system of discus fish (Symphysodon spp.) to cold temperature: evidence for species-specific cold resistance

2019 ◽  
Author(s):  
Shi-Rong Jin ◽  
Bin Wen ◽  
Zai-Zhong Chen ◽  
Jian-Zhong Gao ◽  
Lei Wang ◽  
...  
Keyword(s):  
Cold Hardiness ◽  
Cold Resistance ◽  
Cold Treatment ◽  
Principal Component ◽  
Interspecific Variation ◽  
Continuous Sequence ◽  
Model Animal ◽  
Set Up ◽  
Species Specific ◽  
Subordinate Function

ABSTRACTThe discus fish (Symphysodon spp.) is an endemic species of the Amazon that is among the most popular ornamental fish around the world, and is usually used as the model animal for studying the diversification of Amazon fish. Here, a comparative analysis of two species of discus fish, i.e., S. haraldi and S. aequifasciatus, based on several antioxidant indexes was conducted, to test the hypothesis that cold resistance might correlate with the diversification of discus fish. We set up a continuous sequence of three temperature programs, namely cooling (28 °C to 14 °C; -1 °C/h), cold maintenance (14 °C for 12 h) and recovery (14 °C to 28 °C; +1 °C/h). Subordinate function (SF) combined with principal component analysis (PCA) showed that the cold hardiness of S. haraldi during cold treatment was in the order of cooling > cold maintenance ≈ recovery, but the cold hardiness of S. aequifasciatus during cold treatment was in the order of cold maintenance > cooling > recovery. Specifically, the lowest cold hardiness was observed in S. aequifasciatus during recovery, indicating that cold stress resulted in more seriously oxidative stress in S. aequifasciatus than in S. haraldi. Overall, these results show a significant interspecific variation, indicating the correlation between environmental adaptation and the diversification of discus fish.

scholarly journals Winter is coming: cold hardiness attributes of a field population of the potato tuberworm Phthorimaea operculella

2015 ◽  
Author(s):  
Stefanos S Andreadis ◽  
Yianna Poulia ◽  
Sofia Noukari ◽  
Barbara Aslanidou ◽  
Matilda Savopoulou-Soultani
Keyword(s):  
Cold Hardiness ◽  
Developmental Stages ◽  
Phthorimaea Operculella ◽  
Field Population ◽  
Freezing Injury ◽  
Winter Mortality ◽  
Supercooling Point ◽  
Short Term ◽  
Significant Difference ◽  
Potato Tuberworm

The potato tuberworm, Phthorimaea operculella (Zeller) (Lepidoptera: Gelechiidae), is a worldwide pest of solanaceous crops especially devastating to potatoes. In the present study we investigated the cold hardiness profile of short-term acclimated and non-acclimated immature and adult stages of a field population of P. operculella. Late instars displayed the lowest mean supercooling point, for both short-term acclimated and non-acclimated individuals, however, no significant differences were observed among developmental stages. Unlike supercooling capacity, acclimation at 5 oC for 5 days enhanced the ability to survive at subzero temperatures after a 2 h exposure. Mean lethal temperature (LTemp50) of all developmental stages (egg, late instar, pupa and adult) decreased after short-term acclimation, however only adults displayed a significant difference among acclimated and non-acclimated individuals concerning their LTemp50 (-11.1 and -8.3 oC, respectively). Generally, pupae were the most cold tolerant developmental stage followed in decreasing order by the eggs and adults, while interestingly late instars were the least ones. Non-freezing injury above the supercooling point was well documented for all developmental stages indicating a pre-freeze mortality and suggesting that P. operculella is considered to be chill tolerant rather than freeze intolerant. Nevertheless, given its high degree of cold hardiness, winter mortality of P. operculella due to low temperatures is not likely to occur and potential pest outbreak can take place following a mild winter.

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