The effect of moisture supply conditions on productivity of winter bread wheat, sown after various forecrops in the southern part of the Rostov region

Weather and climatic conditions determine moisture supply, which is the main factor affecting winter wheat productivity in the area of unstable moisture. The current study was carried out on the experimental plot of the laboratory for cultivation technology of grain crops of the FSBSI Agricultural Research Center “Donskoy” in 2010–2020. The soil of the experimental plot was ordinary calcareous heavy loamy blackearth (chernozem). The humus horizon was powerful up to 140 cm. The humus content was 3.9%. The purpose of the study was to establish the moisture supply of winter bread wheat when cultivated according to various forecrops. There has been found that the autumn periods in the most years of study were arid with 37% of precipitation. Winter wheat plants from September to June were provided with 70% of precipitation, with a 1022.55 of air humidity deficit and 664.7 mm of water demand. There was found that, on average over the years of study, 88% of moisture supply promoted yielding of 7.03 t/ha of winter wheat sown in weedfree fallow. In order to yield a ton of grain there was required 591.7 m3 of total moisture. The share of precipitation in this moisture consumption was 84%, and the share of soil moisture was 16%. When sown after sunflower, moisture provision was 77%, and winter wheat yield was 5.32 t/ha. In order to yield a ton of grain there was required 657.3 m3 of total moisture, which was on 65.6 m3 more than in the variant with a weedfree fallow. The share of precipitation in this moisture consumption was 96%, and the share of soil moisture was 4%.

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The role of the upper leaves in the formation of productivity and its elements in the varieties and lines of winter bread wheat of intensive type

Grain Economy of Russia ◽

10.31367/2079-8725-2020-69-3-16-20 ◽

2020 ◽

pp. 16-20

Author(s):

V. L. Gaze ◽

E. V. Ionova ◽

V. A. Likhovidova ◽

O. V. Skripka

Keyword(s):

Bread Wheat ◽

Agricultural Research ◽

Kernel Weight ◽

Wheat Varieties ◽

Winter Bread Wheat ◽

Study Results ◽

Head Formation ◽

Moisture Supply ◽

Photosynthesis Efficiency ◽

Productive Systems

The current paper has presented the study results on estimating the eﬀect of the upper leaves’ area of winter bread wheat samples on productivity and its elements. There have been tested nine winter bread wheat varieties of intensive type developed in the FSBSI “Agricultural Research Center “Donskoy”. The current study has identiﬁed that the largest upper leaves’ area under insuﬃcient moisture supply during the periods of head formation and ﬂowering was produced by the variety “Etyud” (31 cm2 in a heading period; 29.4 cm2 in a ﬂowering period). During the period of milky kernel ripening, the variety “Shef” has also shown the largest upper leaves’ area under insuﬃcient moisture supply (17.7 cm2). The variety “Yubiley Dona” has shown a minimal decrease in the upper leaves area to milky kernel ripeness (40%). The evaluation results of productivity and its structure have shown that the largest value of the number of productive stems per 1 m2 in arid conditions was identiﬁed in the varieties “Etyud” (261 pcs.) and “Shef” (254 pcs.). According to the number of kernels per main head, the variety “Donskaya Step” was the best with 32 pcs. Large kernel weight per main head was identiﬁed in the varieties “Donskaya Step” (0.72 g), “Shef” and “Etyud” (0.67 g), and according to 1000 kernel weight the varieties “Etyud” (25.9 g) and “Zodiak” (25.2 g) were the best ones. The varieties “Etyud” (163.7 g/m2) and “Shef” (168.6 g/m2) have produced the maximum yields, that means the best functioning of all productive systems of winter bread wheat. The estimation of the samples according to the correlation between photosynthesis eﬃciency of the upper leaves’ area and kernel percentage (ZFL) has identiﬁed the samples “Donskaya Step”, “1005/14”, “Univer”. According to the correlation between photosynthesis eﬃciency of the upper leaves’ area and kernel weight per head (MFFL) the variety “Donskaya Step” showed the best results. The conducted study ad obtained results made it possible to identify the varieties “Shef”, “Etyud” and “Donskaya Step”. The identiﬁed varieties have been proposed for further use in the breeding process.

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PRODUCTIVITY AND PROTEIN-GLUTEN COMPLEX OF DIFFERENT VARIETIES OF WINTER BREAD WHEAT

TAURIDA HERALD OF THE AGRARIAN SCIENCES ◽

10.33952/2542-0720-2021-4-28-119-128 ◽

2021 ◽

Vol 4 (28) ◽

pp. 119-128

Author(s):

E.I. Nekrasov ◽

◽

D.M. Marchenko ◽

M.M. Ivanisov ◽

I.V. Romanyukina ◽

...

Keyword(s):

Bread Wheat ◽

Quality Indicators ◽

Grain Quality ◽

Agricultural Research ◽

Wheat Yield ◽

Industrial Complex ◽

Planting Dates ◽

Wheat Varieties ◽

Winter Bread Wheat ◽

Average Annual Temperature

Wheat yield increase and grain quality indicators improvement is one of the primary tasks for the agro-industrial complex. The purpose of the current study was twofold: estimate the productivity and grain quality indicators of winter bread wheat varieties; identify the most valuable ones for further use in breeding programs. The surveys were carried out on the experimental field of SSE “Agricultural Research Center «Donskoy»” in 2018-2020. In the study area, the average annual precipitation was 582.4 mm, the average annual temperature – 9.7 °C. The object of the study – 23 winter bread wheat varieties of semi-intensive type developed in the ARC “Donskoy”. Variety ‘Don 107’ was used as a standard one. Forecrop – maize for grain. Winter wheat was planted at the optimum planting dates; seed placement depth – 4-6 cm. The experiment was replicated six times; The plot area – 10 m2. Varieties ‘Lilit’ (6.8 t/ha), ‘Polina’ (6.8 t/ha), ‘Zolotoy Kolos’ (6.8 t/ha), ‘Lidiya’ (6.9 t/ha), ‘Premyera’ (6.9 t/ha), ‘Volnitsa’ (7.0 t/ha), ‘Volny Don’ (7.0 t/ha), ‘Ayuta’ (7.2 t/ha) exceeded standard variety ‘Don 107’ by 0.4–0.8 t/ha. All varieties studied in the trial corresponded to the standards of the 1st class in terms of hectolitre weight (not less than 750 g/l) and vitreousness (not less than 60.0 %). The largest grain was formed by varieties ‘Zhavoronok’ (43.4 g), ‘Donskoy surpriz’ (43.6 g), ‘Ayuta’ (44.6 g), ‘Volnitsa’ (44.9 g), ‘Premyera’ (48.2 g). The largest values of protein in grain (13.1–13.4 %) were identified in varieties ‘Lidiya’, ‘Stanichnaya’ and ‘Podarok Krymu’. Varieties ‘Asket’ and ‘Podarok Krymu’ produced grain with the largest gluten content (28.6 % and 28.9 %, respectively). The results of two-way analysis of variance have proved the greater influence of the factor “year” on productivity (64.0 %), protein (72.0 %) and gluten (70.0 %) content in grain of winter bread wheat than that of the factor “genotype” and their correlation.

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Features of the winter bread wheat varieties of unified type developed by the Agricultural Research Center “Donskoy”

Grain Economy of Russia ◽

10.31367/2079-8725-2021-78-6-3-8 ◽

2021 ◽

pp. 3-8

Author(s):

М. М. Ivanisov ◽

D. M. Marchenko ◽

E. I. Nekrasov

Keyword(s):

Winter Wheat ◽

Bread Wheat ◽

Agricultural Research ◽

Research Center ◽

Production Volume ◽

High Quality ◽

Wheat Varieties ◽

Breeding Work ◽

Winter Bread Wheat ◽

Economically Valuable Traits

The current paper has presented the characteristics of the new winter bread wheat varieties of unified type developed by the FSBSI Agricultural Research Center “Donskoy”. Winter wheat is the most valuable grain food crop grown in vast areas. Breeding plays an important role in increasing production volume and improving grain quality as the basis of the country’s food fund. Expanding grain crops area, among which wheat predominates, there is a problem of crop rotation. Therefore, the development of unified varieties capable of producing stable high grain yields after various forecrops is one of the most urgent areas of breeding work for winter bread wheat. The purpose of the current study was to characterize the new winter bread wheat varieties of unified type developed by the FSBSI Agricultural Research Center “Donskoy” according to the main economically valuable traits. Due to the intensive breeding work over the past decade, on the basis of some of the best zoned varieties ‘Ermak’, ‘Stanichnaya’, ‘Donskoy syurpriz’ there was developed a number of new promising genotypes, which are already being used in production sowings of winter wheat in the Rostov region and other regions of our country. The new winter bread wheat varieties of unified type ‘Lydia’, ‘Kapitan’, ‘Lilit’, ‘Krasa Dona’, ‘Volnitsa’, ‘Volny Don’, ‘Zhavoronok’ and ‘Polina’ are more productive than their parental forms. In combination with grain of high quality, resistance to bio and abiotic environmental factors, they are very valuable, beneficial for cultivation and improvement of the production of commercial wheat grain of high quality.

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EFFECTIVENESS OF DOSING APPLICATION OF BENATAL GROUP HERBICIDES IN SUGAR BEET SOWING

Vestnik of the Russian agricultural science ◽

10.30850/vrsn/2019/3/49-51 ◽

1970 ◽

pp. 49-51

Author(s):

V. Z. Venevtsev ◽

М. N. Zakharova ◽

L. V. Rozhkova

Keyword(s):

Sugar Beet ◽

Agricultural Research ◽

Humus Content ◽

Crop Protection ◽

Experimental Plot ◽

Agricultural Research Institute ◽

Row Crops ◽

Sugar Beet Variety ◽

Sowing Machine

Ryazan region annually receives stable yields of sugar beet roots 40 t/ha. Further growth of yields depends on balanced nutrition of plants cultivated hybrids, from the quality of the soil and of the phytosanitary State of sowing culture. Weed vegetation in wider spaced row crops of sugar beet in the initial periods of vegetation is high competition culture. The article presents the results of three studies on the effectiveness of the herbicide betanalnoj group, used to reduce contamination of sowing culture annual dicotyledonous weeds and increase the harvest of sugar beet roots. Studies conducted on experimental fields ISSA-branch FGBNU FNAC WIM (former AGRICULTURAL RESEARCH INSTITUTE in Ryazan). Soil: dark grey forest tjazhelosuglinistaja, humus content 4.0%, potassium and phosphorus-high pH is 5.8. Area of cultivated plots 50 m2, repetition, four sugar beet variety-Ocean. The predecessor-winter wheat. Under the autumn ploughing had made NPK120 under presowing cultivation-N60, SEV conducted seeder sowing machine. For crop protection herbicides were tested annually of sugar beet Betanal progress, UF-1.0 l/HA, Forte di Belvedere-1.0 l/HA, Betanal Max Pro-1.5 l/HA, Bajrang engineering works Super-1.5 l/HA, once applied to weeds. The harvest of sugar beet roots, take into account the square 10 m2 in 4-times repeated with each experimental plot by weighing machinery, processed data by ANOVA. The research found that studied herbicides efficiently at 87-92%, reduced infestation annual dicotyledonous weeds and increase the harvest of sugar beet roots to 29.9-44.1%

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The choice of the terms and methods of nitrogen additional fertilizing for winter bread wheat in the southern part of the Rostov region

Grain Economy of Russia ◽

10.31367/2079-8725-2020-69-3-43-47 ◽

2020 ◽

pp. 43-47

Author(s):

A. A. Sukharev ◽

G. M. Zelenskaya

Keyword(s):

Winter Wheat ◽

Ammonium Nitrate ◽

Bread Wheat ◽

Economic Effect ◽

Wheat Variety ◽

Scattering Method ◽

Net Income ◽

Winter Bread Wheat ◽

Productivity Increase ◽

Control Variant

The current paper has presented the results of three years’ study (2012–2014) of the application of various terms and methods of nitrogen additional fertilizing for the winter bread wheat variety “Stanichnaya”. There has been studied efficiency of various terms and methods of nitrogen additional fertilizing with various forecrops. There has been identified an effect of these additional fertilizing on winter bread wheat productivity according to the forecrops. In the control variant, the productivity of the variety according to the forecrop depended greatly on the forecrops: 5.52 t/ha (weedfree fallow), 5.26 t/ha (peas), 4.29 t/ha (maize for grains) and 3.57 t/ha (winter wheat). There has been identified large productivity in the autumn ammonium nitrate fertilizing by the scattering method (in all variants of the forecrops), the productivity raised on 0.38–0.73 t/ha. The study has shown that the economic effect of the ammonium nitrate fertilizing in the autumn was also at maximum profitability, 76–154%, and the conditional net income was 10 675–22 955 rubles/ha. The efficiency of ammonium nitrate fertilizing by the scattering method in the spring on thawed/frozen soil was lower, the productivity increase ranged from 0.21 t/ha sown after peas to 0.65 t/ha sown after maize. Root additional fertilizing with a seeder gave a positive effect only when the variety was sown after for winter wheat and maize, in that case the productivity increase was 0.52 t/ha and 0.46 t/ha, respectively. The conditional net income in these variants exceeded the control variant on 1574–2123 rubles/ha. Carbamide (urea) additional fertilizing was only effective for the variety sown after maize, where the productivity increase was 0.40 t/ha, but profitability (100%) and conditional net income (16 593 rubles/ha) were lower than with ammonium nitrate fertilizing by the scattering method in the spring (112% and 18 080 rubles/ha respectively).

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Characteristic of the bread wheat leaf rust pathogen virulence in the Saratov region conditions

The Agrarian Scientific Journal ◽

10.28983/asj.y2020i9pp40-44 ◽

2020 ◽

pp. 40-44

Author(s):

Sergey Nikolaevich Sibikeev ◽

Elmira Alexandrovna Konkova ◽

Maria Fedorovna Salmova

Keyword(s):

Bread Wheat ◽

Agricultural Research ◽

Plant Immunity ◽

Maximum Level ◽

Partial Loss ◽

Pathogen Virulence ◽

Winter Bread Wheat ◽

High Virulence ◽

Wheat Leaf ◽

Pathogen Populations

The studies were conducted in the Lababoratory of plant immunity Agricultural Research Institute for South-East Regions Russia. The samples of pathogen populations were collected from commercial and promising cultivars of spring and winter bread wheat at the end of their growing season at the maximum level of disease development in a field nursery. Then this inoculum's has been propagated on susceptible cultivars of bread wheat in the laboratory conditions. During three years of studies (2017-2019) 30 monopustules isolates has been studied. These studied isolates were avirulent to Thatcher near isogenic lines with genes Lr41, Lr42, Lr43+24, Lr53 and virulent to Lr1, Lr2a, Lr2b, Lr2c, Lr3, Lr3bg, Lr3ka, Lr10, Lr11, Lr12, Lr13, Lr14a, Lr14b, Lr15, Lr16, Lr17, Lr18, Lr21, lr22a, lr22b, lr25, lr28, LR 30, Lr32, Lr33, Lr34, Lr35, lr36, lr37, LR 38, Lr40, LR44, Lr45, LR b, LR W, LR Erph, LR Kanred, Lr57, Lr67. The significant variation for virulence was observed in lines with the Lr20, Lr23, Lr24, Lr26, Lr29, and Lr47 genes. The study of the P. triticina population structure in 2017-2019 revealed a partial loss of the effectiveness of the Lr47 gene. It was found that populations of P. triticina in 2017-2019 were characterized by high virulence.

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Draft Requirement of Two Animal - Drawn Institute for Agricultural Research (IAR) Weeders

Journal of Engineering Research and Reports ◽

10.9734/jerr/2020/v10i317039 ◽

2020 ◽

pp. 14-20

Author(s):

Y. A. Unguwanrimi ◽

A. M. Sada ◽

G. N. Ugama ◽

H. S. Garuba ◽

A. Ugoani

Keyword(s):

Soil Moisture ◽

Moisture Content ◽

Bulk Density ◽

Soil Moisture Content ◽

Agricultural Research ◽

Soil Samples ◽

Soil Conditions ◽

Experimental Plot ◽

Moisture Contents ◽

Loam Soil

Draft requirements of two animal – drawn (IAR) weeders operating on loam soil were determined in the study. The implements include a straddle row weeder and an emcot attached rotary weeder evaluated under the same soil conditions, using a pair of white Fulani breed of oxen. The animal draft requirement was first estimated from the animal ergonomics measurements. Using area of 0.054 hectare as experimental plot for each implement the draft requirement of each implement was investigated after taking soil samples for soil moisture content and bulk density determinations. The implements tested showed variation in their average draft requirement. The straddle row weeder had the highest value of 338.15 N respectively while the emcot attached rotary weeder had the lowest value of 188.12 N with 47.03%, respectively. The average soil moisture contents and bulk density were 13.0% and 1.46%/cm3, respectively.

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Mineral and organic fertilization efficiency in long-term stationary experiments

Plant Soil and Environment ◽

10.17221/200/2009-pse ◽

2010 ◽

Vol 56 (No. 1) ◽

pp. 28-36 ◽

Cited By ~ 24

Author(s):

J. Černý ◽

J. Balík ◽

M. Kulhánek ◽

K. Čásová K ◽

V. Nedvěd

Keyword(s):

Sewage Sludge ◽

Winter Wheat ◽

Spring Barley ◽

Wheat Yield ◽

Climatic Conditions ◽

Mineral Fertilizers ◽

Natural Soil ◽

Average Yield ◽

Organic Fertilization

In long-term stationary experiments under different soil-climatic conditions, an influence of mineral and organic fertilization on yield of winter wheat, spring barley and potato tubers was evaluated. Statistically significantly lowest grain yields of winter wheat (4.00 t/ha) and spring barley (2.81 t/ha) were obtained in non-fertilized plots at all experimental sites. In the case of potatoes, the lowest yield of dry matter (5.71 t/ha) was recorded in the control plot, but the result was not statistically significant. The manure-fertilized plot gave the average yield of wheat higher by 30%, of barley by 22%. Application of sewage sludge resulted in wheat yield higher by 41% and barley yield higher by 26% over control. On average, application of sewage sludge and manure increased the yield of potatoes by 30% over control. The highest yield was obtained after application of mineral fertilizers; average yield increased by 59, 50 and 36% in winter wheat, spring barley and potatoes, respectively. No statistically significant differences among the plots with mineral fertilizers were observed. At different sites, the yield of studied crops varied; however, the effect of fertilization on yield increments was similar at all experimental sites except for Lukavec. It is the site with the lowest natural soil fertility, and it showed the highest effect of the applied fertilizers.

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Joint Assimilation of Leaf Area Index and Soil Moisture from Sentinel-1 and Sentinel-2 Data into the WOFOST Model for Winter Wheat Yield Estimation

Sensors ◽

10.3390/s19143161 ◽

2019 ◽

Vol 19 (14) ◽

pp. 3161 ◽

Cited By ~ 7

Author(s):

Haizhu Pan ◽

Zhongxin Chen ◽

Allard de Wit ◽

Jianqiang Ren

Keyword(s):

Soil Moisture ◽

Data Assimilation ◽

Winter Wheat ◽

Crop Yield ◽

Wheat Yield ◽

Crop Growth ◽

Open Loop ◽

Yield Estimation ◽

Spatiotemporal Resolution ◽

Sentinel 2

It is well known that timely crop growth monitoring and accurate crop yield estimation at a fine scale is of vital importance for agricultural monitoring and crop management. Crop growth models have been widely used for crop growth process description and yield prediction. In particular, the accurate simulation of important state variables, such as leaf area index (LAI) and root zone soil moisture (SM), is of great importance for yield estimation. Data assimilation is a useful tool that combines a crop model and external observations (often derived from remote sensing data) to improve the simulated crop state variables and consequently model outputs like crop total biomass, water use and grain yield. In spite of its effectiveness, applying data assimilation for monitoring crop growth at the regional scale in China remains challenging, due to the lack of high spatiotemporal resolution satellite data that can match the small field sizes which are typical for agriculture in China. With the accessibility of freely available images acquired by Sentinel satellites, it becomes possible to acquire data at high spatiotemporal resolution (10–30 m, 5–6 days), which offers attractive opportunities to characterize crop growth. In this study, we assimilated remotely sensed LAI and SM into the Word Food Studies (WOFOST) model to estimate winter wheat yield using an ensemble Kalman filter (EnKF) algorithm. The LAI was calculated from Sentinel-2 using a lookup table method, and the SM was calculated from Sentinel-1 and Sentinel-2 based on a change detection approach. Through validation with field data, the inverse error was 10% and 35% for LAI and SM, respectively. The open-loop wheat yield estimation, independent assimilations of LAI and SM, and a joint assimilation of LAI + SM were tested and validated using field measurement observation in the city of Hengshui, China, during the 2016–2017 winter wheat growing season. The results indicated that the accuracy of wheat yield simulated by WOFOST was significantly improved after joint assimilation at the field scale. Compared to the open-loop estimation, the yield root mean square error (RMSE) with field observations was decreased by 69 kg/ha for the LAI assimilation, 39 kg/ha for the SM assimilation and 167 kg/ha for the joint LAI + SM assimilation. Yield coefficients of determination (R2) of 0.41, 0.65, 0.50, and 0.76 and mean relative errors (MRE) of 4.87%, 4.32%, 4.45% and 3.17% were obtained for open-loop, LAI assimilation alone, SM assimilation alone and joint LAI + SM assimilation, respectively. The results suggest that LAI was the first-choice variable for crop data assimilation over SM, and when both LAI and SM satellite data are available, the joint data assimilation has a better performance because LAI and SM have interacting effects. Hence, joint assimilation of LAI and SM from Sentinel-1 and Sentinel-2 at a 20 m resolution into the WOFOST provides a robust method to improve crop yield estimations. However, there is still bias between the key soil moisture in the root zone and the Sentinel-1 C band retrieved SM, especially when the vegetation cover is high. By active and passive microwave data fusion, it may be possible to offer a higher accuracy SM for crop yield prediction.

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