scholarly journals Study of seeded pea lines in a nursery of competitive varietal trials under drought conditions in 2020

Author(s):  
E. A. Ten ◽  
I. P. Oshergina

Peas are affected by weather conditions. The effects of adverse factors do not affect the formation of the crop for the better. Under the influence of drought and high temperatures, there was an inhibition of growth processes, namely, the construction of the leaf apparatus, which, in turn, led to a sharp decline in seed productivity. It is crucial to have varieties (lines) with a more stable and shorter period from sprouting to maturity, taking into account the sharply changing heat and moisture supply in the Akmola region, making it possible to harvest the crop earlier. The authors obtained the relationship between yield and abiotic factors and morphobiological characteristics of peas in the conditions of the Akmola region for 2020. In their research, the authors found that weather conditions influenced the duration of the growing season 2020 and the grain yield of field peas. The ever-increasing season for pea lines was within 83-91 days. The peculiarities of the lines used, temperature regime and precipitation of the third decade of June influenced the duration of two periods (sprouting-flowering and flowering-ripening). Yields of pea lines in the nursery of competitive variety trials ranged from 2.80 (line 93-04-2) to 18.53 c/ha (line 6-08-7). As a result of their research, the authors found a positive average correlation between plant height and the number of beans (r = 0.33). The average plant height per sample was 62 cm. The average number of beans per plant in the nursery was 5.9, and the average number of seeds was 20.0. The research results can be successfully used in the cultivation of domestic and foreign varieties of field peas. In international practice, the results of this experiment can be applied in the selective improvement of field peas and the creation of new high-tech varieties.

Author(s):  
Zh. M. Novak ◽  

Different weather conditions provide unequal growth and development of plants, in addition, biotypes react differently to changes in external environmental factors. Scientists from Ukraine and other countries analyze varieties and samples of spring barley for the purpose of determine donors of useful traits in different soil and climatic conditions. For the purpose of combine a number of useful traits in one genotype, hybridization between geographically distant biotypes is used. Uman National University of Horticulture has a collection of spring barley samples by different geographic origin. The analyze of breeding material by biometric traits, which will allow us to determine the level of manifestation of each of them in different conditions of 2018–2020 and to determine the donors of useful traits for the further breeding process, was carried out. The weather conditions of the years of research were very different. 2018 was the most unfavorable year for early spring crops. The reason for this was the presence of snow cover until the end of March. After that were strong heat and lack of precipitation. 2019 and 2020 were more favorable for spring barley due to the long cool spring. In addition, in 2020, May and June characterized by increased rainfall. The average plant height of the studied biotypes ranged from 50 to 64 cm. Most samples had the lowest plant height 40–57 cm in 2018, and the highest – in 2020 – from 54 to 88 cm. The average spike length of the analyzed samples was 5.9–8.1 cm. There was not dependence between conditions of the research year and spike length. The number of spikelets per spike was naturally determined by the research conditions. The lowest indicators were observed in 2018 — from 7.0 to 12.0 units, while in 2019 — 16.6–23.9 units, and in 2020 — 20.2–27.7 units. The variation of plant height of the analyzed samples was medium and significant with coefficients from 13.7 to 32.6 %. There was a slight, medium and significant variation of the length of the ear (V = 2.9–23.6 %). The index of number of spikelets per spike most varied — the coefficients of variation were 32.6–55.5 %.


The article presents the results of three-year (2016–2018) studies of five three-line hybrids of the IMC selection - Agent, Agronomichny, Marshal, Kamenyar, Zaporozhskij 28 and their parent components - simple unreduced hybrids - ZL22A/102B, ZL42A/46B, ZL42A/58B and pollen fertility restorers – ZL512V, ZL678V and ZL7034V. It was found that individual indicators do not change synchronously. The Agent, Marshal and Kamenyar hybrids had the highest plant height in 2016, one each in 2017 – Agronomichny and in 2018 – Zaporozhskij 28. At the same time, three hybrids (Agent, Agronomical, Marshal) had the largest basket diameter in 2018 and two (Zaporozhskij 28, Kamenyar) in 2017. The shortest growing season hybrids Marshal, Zaporozhskij 28 and Kamenyar had in 2016 (90, 105 and 105 days), and two – Agent and Agronomichny in 2018 – 100 and 103 days, respectively. Among the simple unrecovered hybrids, two – ZL42A/46B and ZL42A/58B had high indicators of plant height, basket diameter and duration of the growing season in 2016. In the ZL22A/102B hybrid, the diameter of the basket was also the largest in 2016 (18.5 cm), the average plant height in 2016 – 124.5 cm was slightly lower than in 2018 (125.4 cm), also in these years in it almost coincided with the duration of the growing season – 97 days in 2016 and 96 in 2018 Fertility restorers had the highest indicators of plant height and basket diameter in 2017, also this year they had the shortest growing season, in 2016, on the contrary, they had the lowest height and the diameter of the basket, and the long growing season. The size of the baskets in the Marshal and Kamenyar hybrids correlates with the moisture supply of plants and the hydrothermal coefficient – the correlation coefficients are 0.997, 0.902 and 0.990, 0.973, respectively. The phases of organogenesis of plants of hybrids Kamenyar and Zaporozhskij 28 are greatly influenced by temperature, the correlation coefficient of this indicator with plant height and with the duration of the growing season is 0.996 for Kamenyar and 0.946 for Zaporozhskij 28, and with a hydrothermal coefficient – 0.939 and 0.753. In the Agent hybrid, the temperatures in June have the greatest influence on plant growth - the correlation coefficient is 0.997 and precipitation in May is 0.968, and the temperatures in May - 0.999 and June - 0.998 on the size of the basket. For the height of plants and the duration of the growing season at Agronomichny, moisture availability at the beginning of the growing season is very important, the correlation coefficients are 0.918 and 0.994, and in August during the filling of seeds 0.996 and 0.927, as well as July precipitation is 0.995. Of the simple unrecovered hybrids, the most demanding for heat is ZL22A/102B - the correlation coefficients are 0.941 with plant height and vegetation duration, 0.843 with the basket size. For ZL42A/58B, the most important are the May precipitation, their correlation with the vegetation duration of 1,000 and the basket diameter of 0.987, and the July temperatures - 0.999 and 0.993, respectively. Among the pollen fertility restorers, the line ZL512V turned out to be the most demanding to weather conditions. For plant growth, the temperatures of April (0.906), May (0.995) and June (1.000) are very important, for the duration of the growing season respectively – 0.958, 0.971 and 0.991, and for the size of the basket, precipitation in May (0.956) and July temperatures (0.943). The correlation coefficient with the sum of active temperatures is – 0.829 for plant height – 0.851 for basket diameter – 0.902 for the growing season.


Author(s):  
Kira Privalova ◽  
Ruslan Karimov

Based on 13 years of research, data are presented on the productivity of pasture grass stands with the participation of festulolium (cultivar VIK 90) in years with different conditions of heat and moisture supply of vegetation periods. Productivity indicators, depending on weather conditions, changed 1.5 times.


2021 ◽  
Vol 13 (3) ◽  
pp. 1566
Author(s):  
Rong-Chang Jou ◽  
Ming-Che Chao

Introduction—Medical emergency vehicles help patients get to the hospital quickly. However, there were more and more ambulance crashes on the road in Taiwan during the last decade. This study investigated the characteristics of medical emergency vehicle crashes in Taiwan from January 2003 to December 2016. Methods—The ordered logit (OL) model, multinominal logit (MNL) model, and partial proportional odds (PPO) model were applied to investigate the relationship between the severity of ambulance crash injuries and its risk factors. Results—We found the various factors have different effects on the overall severity of ambulance crashes, such as ambulance drivers’ characteristics and road and weather conditions. When another car was involved in ambulance crashes, there was a disproportionate effect on the different overall severity, as found by the PPO model. Conclusions—The results showed that male ambulance drivers and car drivers who failed to yield to an ambulance had a higher risk of severe injury from ambulance crashes. Ambulance crashes are an emerging issue and need further policies and public education regarding Taiwan’s ambulance transportation safety.


Author(s):  
Natalie Rose ◽  
Les Dolega

AbstractThe weather is considered as an influential factor on consumer purchasing behaviours and plays a significant role in many aspects of retail sector decision making. As a result, better understanding of the magnitude and nature of the influence of variable UK weather conditions can be beneficial to many retailers and other stakeholders. This study addresses the dearth of research in this area by quantifying the relationship between different weather conditions and trading outcomes. By employing comprehensive daily sales data for a major high street retailer with over 2000 stores across England and adopting a random forest methodology, the study quantifies the influence of various weather conditions on daily retail sales. Results indicate that weather impact is greatest in the summer and spring months and that wind is consistently found to be the most influential weather condition. The top five most weather-dependent categories cover a range of different product types, with health foods emerging as the most susceptible to the weather. Also, sales from out-of-town stores show a far more complex relationship with the weather than those from traditional high street stores with the regions London and the South East experiencing the greatest levels of influence. Various implications of these findings for retail stakeholders are discussed and the scope for further research outlined.


2021 ◽  
Vol 13 (14) ◽  
pp. 7765
Author(s):  
Shuizheng Song ◽  
Md Altab Hossin ◽  
Xiaohua Yin ◽  
Md Sajjad Hosain

The demand for sustainable development and the advantages of industries are expediting over time with the triggering of green innovation performance (GIP). Improving a firm’s GIP, especially in manufacturing industries, can accelerate green development and mitigate the global-concerned environmental issues. Thus, to investigate GIP from its antecedent factors, we delineate the relationship between network potential, absorptive capacity, environmental turbulence, and GIP based on social network theory, organizational learning theory, and contingency theory. We tested our hypotheses based on 233 sets of questionnaire surveys from high-tech manufacturing firms in China through deploying the hierarchical regression and bootstrap method. Our empirical findings reveal that the network potential dimensions, including network position centrality (NPC), network structure richness (NSR), and network relationship closeness (NRC), significantly positively impacted the GIP. The absorptive capacity (AC) partially mediated the relationship between the network potential dimensions and GIP. Environmental turbulence (ET) as an essential mechanism not only positively moderated the relationship between AC and GIP but also enhanced the AC mediation effect. These findings indicate that manufacturing firms should continue to improve network potential and AC and respond rapidly to changes in the external environment to enhance GIP, consequently contributing to the sustainable development of the economy.


2017 ◽  
Vol 77 (1) ◽  
pp. 22-28 ◽  
Author(s):  
E. Foelkel ◽  
M. Voss ◽  
L. B. Monteiro ◽  
G. Nishimura

Abstract Entomopathogenic nematodes (EPNs) are a promising alternative to integrated control in many fruit pests. Few studies were made on the relationship of Anastrepha fraterculus natural population with native EPNs population and other biotic and abiotic factors. The aim of this work was to verify the occurrence of endemic nematodes in an apple orchard, concerning environmental conditions and technical procedure, and access isolates virulence to A. fraterculus larvae. The experiment was conducted during a year taking monthly soil samples from an apple orchard, with and without fallen fruits just above the soil. Samples were baited with Tenebrium molitor and A. fraterculus larvae in laboratory. Canopy and fallen fruits were sampled to access the pest infestation. Seventy three EPN isolates were captured, in 23.2% soil samples, more with T. molitor than with A. fraterculus baits. From the 20 isolates tested against A. fraterculus, only five were pathogenic, and they were identified as Oscheius sp. The nematodes were captured during all seasons in a similar frequency. Soil and weather conditions, presence of fruit over the orchard soil, and A. fraterculus pupae in the fruits had no significant influence on the capture. As a conclusion, nematodes of the genera Oscheius are found in an apple orchard of Porto Amazonas constantly along the year, independently of fluctuations in A. fraterculus population, climate conditions and presence of fruit over the soil. Some of the isolates are pathogenic to A. fraterculus.


2020 ◽  
Vol 12 (12) ◽  
pp. 5128
Author(s):  
Tsung-Chun Chen ◽  
Yenchun Jim Wu

Knowledge transfer is a strategy used by high-tech companies to acquire new knowledge and skills. Knowledge can be internally generated or externally sourced. The access to external knowledge is a quick fix, but the risks associated with reliance on external sources are often overlooked. However, not acquiring such knowledge is even riskier. There have been a slew of litigations in the semiconductor industry in recent years. The acquisition and assurance of intangible assets is an important issue. This paper posits that internal R&D should take into consideration the knowledge intensity and capital investment in the industry. This study focuses on the relationship between intangible assets and financial performance. It sourced the 2004 to 2016 financial data of semiconductor companies in Taiwan for panel data modeling and examined case studies for empirical validation. This study found that the higher the R&D intensity (RDI) in the value-added component of human capital, the better the financial performance of the company. RDI has a positive influence on the accumulation of human capital and financial performance metrics, and such influence is deferred. Meanwhile, human capital is a mediating factor in the relationship between RDI and financial performance. RDI is integral to the semiconductor industry’s pursuit of business sustainability.


2014 ◽  
Vol 42 (8) ◽  
pp. 1315-1323 ◽  
Author(s):  
Xu Zhang ◽  
Bei Hu ◽  
Min Qiu

We explored the mediating effect of job satisfaction in the relationship between employees' performance appraisal and their voice behavior. A questionnaire was administered to 864 employees at enterprises representing high-tech industrial clusters from 5 cities in China. Developmental performance appraisal was found to have a more positive influence on employees' voice behavior than evaluative performance appraisal did. Compared with prohibitive voice behavior, both developmental and evaluative types of performance appraisal had a more positive impact on promotive voice behavior, and job satisfaction was found to play a mediating role in the relationship between these variables.


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