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Journal articles on the topic 'Wheat Yield'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Terzić, Dragan, Vera Đekić, Jelena Milivojević, et al. "Yield components and yield of winter wheat in different years of research." Biologica Nyssana, Journal of Biological Sciences 9, no. 2 (2019): 119–31. https://doi.org/10.5281/zenodo.2538604.

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Field trial with wheat varieties Perfekta, KG 56S, Aleksandra and Vizija was set on vertisol-type soil during the vegetation season 2010/11 and 2011/12. The aim of the research was to analyse the yield and grain yield components in four varieties of wheat cultivated on acid soil. The highest values of yield components and grain quality were established in the year with moderate temperatures and high precipitation in the vegetation year 2010/11. The KG 56S and Vizija varieties had the highest yield of grain, the highest number of plants and spikes per m2. The Perfekta variety showed the highest

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2

ASHOK, TIWARI, N. TIWARI K., and N. PATHAK A. "Potassium for Yield Improvement of Wheat." Journal of Indian Chemical Society Vol. 71, May 1994 (1994): 273–75. https://doi.org/10.5281/zenodo.5894773.

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Department of Sotl Science and Agricultural Chemistry, C. S Azad University of Agriculture and Technology, Kanpur-208 002 <em>Manusript received 10 April 1993. accepted 30 June 1993</em> Potassium for Yield Improvement of Wheat

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3

Altay, F., and N. Bolat. "Effect of soilborne wheat mosaic virus on winter wheat yield and yield components." Acta Agronomica Hungarica 52, no. 3 (2004): 309–17. http://dx.doi.org/10.1556/aagr.52.2004.3.12.

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Soil-borne wheat mosaic virus (SBWMV) is an important disease of wheat production areas throughout the world, causing a great reduction in wheat and barley yields. The most effective way of controlling the disease is the use of resistant varieties in infested areas. In this study, the effects of SBWMV on yields and some yield components of eight susceptible, one moderately susceptible/resistant and nine resistant varieties were evaluated using data from 9 virus-infested and 6 non-infested sites in Eskisehir, Turkey over 6 years. The susceptible varieties yielded 5.35% more than resistant varie

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4

Kobus, Paweł. "Modelling wheat yields variability in Polish voivodeships." Zeszyty Naukowe SGGW w Warszawie - Problemy Rolnictwa Światowego 10, no. 3 (2010): 33–40. http://dx.doi.org/10.22630/prs.2010.10.3.30.

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The paper presents an analysis of wheat yields variability in the voivodeships of Poland. The main aim of the study was to find out what are the statistical relationships between the wheat yield variability and the following factors: arable area, size of wheat production area, share of arable land used for wheat production, land quality and average yield. For that purpose a multiple linear regression was applied. It was found out that the detected spatial autocorrelation of wheat yields variability measured by standard deviations can be explained in 75% by the fitted model. Two of the consider

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5

Asthir, Bavita, Shashi Bala, and Navtej Singh Bains. "Effect of Terminal Heat Stress on Yield and Yield Attributes of Wheat." Indian Journal of Applied Research 4, no. 6 (2011): 1–2. http://dx.doi.org/10.15373/2249555x/june2014/1.

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6

Hannah, MC, and GJ O'Leary. "Wheat yield response to rainfall in a long-term multi-rotation experiment in the Victorian Wimmera." Australian Journal of Experimental Agriculture 35, no. 7 (1995): 951. http://dx.doi.org/10.1071/ea9950951.

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Seventy-six years of wheat yield data from a long-term rotation experiment at Dooen in the Victorian Wimmera were analysed to describe the response of wheat yield to seasonal rainfall, crop sequence, and time. Wheat yields from 7 different 1- to 4-course rotations involving wheat, barley, oat, field pea, grass pasture and fallow were compared as a function of growing-season (May-November) rainfall. The field layout had no within-year replication, but each phase of each rotation was represented once in each year. An approximate quadratic response of wheat yield to both current year and previous

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7

Budzyński, W. S., K. Bepirszcz, K. J. Jankowski, et al. "The responses of winter cultivars of common wheat, durum wheat and spelt to agronomic factors." Journal of Agricultural Science 156, no. 10 (2018): 1163–74. http://dx.doi.org/10.1017/s0021859619000054.

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AbstractA field experiment with the 35–1 fractional factorial design and five factors (k = 5) at three levels (s = 3) was performed in 2007–2010 at the Agricultural Experiment Station in Bałcyny, north-eastern (NE) Poland. The results of the experiment carried out under the agro-ecological conditions of NE Poland confirmed the high yield potential of common wheat and satisfactory yield potential of spelt and durum wheat. On average, durum wheat and spelt yields were 2.14 and 2.55 t/ha lower, respectively, than common wheat yields. Sowing date was not correlated with the yields of analysed Trit

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8

Sweeney, G., RS Jessop, and H. Harris. "Yield and yield structure of triticales compared with wheat in northern New South Wales." Australian Journal of Experimental Agriculture 32, no. 4 (1992): 447. http://dx.doi.org/10.1071/ea9920447.

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The yields and yield structure of cultivars of triticales and bread wheats (with a range of phasic development patterns in both species) were compared in 2 field experiments at Narrabri in northern New South Wales. The experiments were performed on a grey cracking clay soil with irrigation to prevent severe moisture stress. Triticales, both early and midseason types, appeared to have reached yield parity with well-adapted wheat varieties. Meaned over the 2 experiments and all sowings, the triticales yields were 19% greater than the bread wheats. Triticales were generally superior to wheat in a

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9

Hu, Naiyue, Chenghang Du, Wanqing Zhang, et al. "Did Wheat Breeding Simultaneously Improve Grain Yield and Quality of Wheat Cultivars Releasing over the Past 20 Years in China?" Agronomy 12, no. 9 (2022): 2109. http://dx.doi.org/10.3390/agronomy12092109.

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Grain yield and quality of wheat are both important components for food security. Great effort has been made in the genetic improvement of wheat grain yield in China. However, wheat grain quality (i.e., protein concentration and protein quality) has received much less attention and is often overlooked in efforts to improve grain yield. A timely summary of the recent process of wheat breeding for increasing yield and quality (which can be used to guide future breeding strategies) is essential but still lacking. This study evaluated the breeding efforts on grain yield and grain quality of 1908 w

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10

Carew, Richard, Elwin G. Smith, and Cynthia Grant. "Factors Influencing Wheat Yield and Variability: Evidence from Manitoba, Canada." Journal of Agricultural and Applied Economics 41, no. 3 (2009): 625–39. http://dx.doi.org/10.1017/s1074070800003114.

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Production functions to explain regional wheat yields have not been studied extensively in the Canadian prairies. The objective of this study is to employ a Just-Pope production function to examine the relationship between fertilizer inputs, soil quality, biodiversity indicators, cultivars qualifying for Plant Breeders' Rights (PBR), and climatic conditions on the mean and variance of spring wheat yields. Using regional-level wheat data from Manitoba, Canada, model results show nitrogen fertilizer, temporal diversity, and PBR wheat cultivars are associated with increased yield variance. Mean w

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11

T., Narimanishvili, Samadashvili Ts., Beglarashvili N., and Tkebuchava Z. "Baseline Maps of Autumn Wheat Yield using Geographic Information Systems for The Samtskhe-Javakheti Region." RA JOURNAL OF APPLIED RESEARCH 08, no. 03 (2022): 214–19. https://doi.org/10.5281/zenodo.6370133.

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ABSTRACT In food production, not only the level of production but also its quality indicators are of great importance. The quality of wheat grains depends on the variety, climatic conditions and cultivation technology. Agro-climatic conditions affect not only wheat yield but also grain quality. In studying the timing of sowing of the wheat crop, we tried to determine the effect of sowing timing and climatic conditions on wheat yield and quality. The vegetation period of wheat was characterized by different natural-climatic conditions, which were manifested by the drought of autumn and the shar

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12

Shafee, Ur Rehman. "Molecular analysis of drought-resistant cultivars in selected wheat genotypes." International Journal of Biosciences (IJB) 24, no. 6 (2024): 468–84. https://doi.org/10.12692/ijb/25.6.468-484.

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Climate changes and global warming have seriously affected the agriculture industry worldwide. Decrease in water has significantly couse reduction in production and yield of many crops. Wheat is a major cereal crop cultivated around the globe. The current research was conducted to investigate drought resistant cultivars in the selected wheat cultivars. In the present study fifty wheat cultivars, scot markers were used during the experiment. The experiment was planned in Randomized Complete Block Design (RCBD) with 3 replications. The analysis of variance showed highly significant differences a

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13

Jan, Křen, Houšť Martin, Tvarůžek Ludvík, and Jergl Zdeněk. "Are intensification and winter wheat yield increase efficient?" Plant, Soil and Environment 63, No. 9 (2017): 428–34. http://dx.doi.org/10.17221/482/2017-pse.

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The results of small-plot field trials of international comparisons of a series of crop management practices for winter wheat grown during 2014–2016 on fertile soils of Central Moravia were assessed. The objective of the experiments was to obtain the highest gross margin (GM), which is the difference between revenues and direct costs. The analyses showed that an optimal level of inputs and costs for obtaining the highest GM could exist. In the assessed series of crop management practices, the optimum input costs corresponded to 11 000–12 000 CZK/ha and 6–9 input measures. At high levels of gra

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14

Chu, Lin, Chong Huang, Qingsheng Liu, Chongfa Cai, and Gaohuan Liu. "Spatial Heterogeneity of Winter Wheat Yield and Its Determinants in the Yellow River Delta, China." Sustainability 12, no. 1 (2019): 135. http://dx.doi.org/10.3390/su12010135.

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Understanding spatial differences of crop yields and quantitatively exploring the relationship between crop yields and influencing factors are of great significance in increasing regional crop yields, promoting sustainable development of regional agriculture and ensuring regional food security. This study investigates spatial heterogeneity of winter wheat yield and its determinants in the Yellow River Delta (YRD) region. The spatial pattern of winter wheat in 2015 was mapped through time series similarity analysis. Winter wheat yield was estimated by integrating phenological information into y

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15

Bahrani, M. J., M. Kheradnam, Y. Emam, H. Ghadiri, and M. T. Assad. "EFFECTS OF TILLAGE METHODS ON WHEAT YIELD AND YIELD COMPONENTS IN CONTINUOUS WHEAT CROPPING." Experimental Agriculture 38, no. 4 (2002): 389–95. http://dx.doi.org/10.1017/s001447970200042x.

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A three-year field experiment was undertaken to evaluate the effects of tillage methods on grain yield and yield components of wheat (Triticum aestivum) in continuous cropping. The experiment was conducted on a Ramjerd, fine, mixed, mesic, typic Calcixerepts soil. Wheat was sown: (1) after burning residues followed by conventional tillage, (2) after complete residue removal followed by conventional tillage, (3) after soil incorporation of residues followed by conventional tillage, (4) into untilled residues, (5) using chisel seeder after field irrigation, (6) using chisel seeder plus herbicide

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16

P.K.SINGH, K.K.SINGH, PRIYANKA SINGH, et al. "Forecasting of wheat yield in various agro-climatic regions of Bihar by using CERES-Wheat model." Journal of Agrometeorology 19, no. 4 (2017): 346–49. http://dx.doi.org/10.54386/jam.v19i4.604.

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Forecasting yield of crops is important for planners in taking tactical decisions for ensuring food availability. Crop simulation models are useful tool to forecast the crop yield. The CERES-wheat model calibrated and validated with experimental data was used to predict the district wise yield in Bihar. Based on the areas under different dates of sowing and crop cultivars, a correction factor was applied on simulated yield to predict the district wise and regional wheat yield. The simulated yield were higher than the actual yield in all the three agro-climatic zones, while the forecasted yield

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17

Lin, M., and P. Huybers. "Reckoning wheat yield trends." Environmental Research Letters 7, no. 2 (2012): 024016. http://dx.doi.org/10.1088/1748-9326/7/2/024016.

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18

Evans, J., G. Scott, D. Lemerle, et al. "Impact of legume 'break' crops on the yield and grain quality of wheat and relationship with soil mineral N and crop N content." Australian Journal of Agricultural Research 54, no. 8 (2003): 777. http://dx.doi.org/10.1071/ar02224.

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The effect of annual 'break' crops on the yield and protein content of wheat was investigated over 3 seasons on a Red Kandasol on the south-western slopes of New South Wales. The 'break' crops included lupin and pea grown for grain, pea and vetch managed for silage, clovers managed for silage or hay, and vetch and clovers managed for green manuring. Wheat was sown for 2 years following the legume year, or canola and wheat followed the legumes. Averaged over 3 experiments the yields of first crop wheat following pea or vetch silage crops were comparable with those after grain pea. Yields follow

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19

Roloff, G., R. de Jong, R. P. Zentner, C. A. Campbell, and V. W. Benson. "Estimating spring wheat yield variability with EPIC." Canadian Journal of Soil Science 78, no. 3 (1998): 541–49. http://dx.doi.org/10.4141/s97-063.

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The Environmental Policy Integrated Climate (EPIC) model has been used on the semiarid temperate Canadian Prairies to estimate crop yield, soil erosion loss, and water and nitrate dynamics. While its estimates of long-term average yields are accurate for most purposes, additional model development is desirable to fully reflect year-to-year variability. We tested the precision of EPIC (version 5300) in estimating mean yields and in replicating yearly yield variability as influenced by the potential evapotranspiration (PET) method, using field data from a 27-yr crop rotation experiment at Swift

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20

Bittman, S., J. Waddington, and D. A. Pulkinen. "Effect of N and P fertilizer on establishment of alfalfa with a wheat companion crop." Canadian Journal of Plant Science 71, no. 1 (1991): 105–13. http://dx.doi.org/10.4141/cjps91-012.

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This study examines the effect of fertilizer applied before seeding on the grain yield of a wheat (Triticum aestivum L.) companion crop and on the forage yield and crude protein content of the underseeded alfalfa (Medicago media Pers.) in subsequent years. The crops were seeded into stubble at five sites in northeast Saskatchewan on soils ranging in texture from silty loam to silty clay. Combinations of three N rates (0, 57 and 114 kg ha−1) and three P rates (0, 28.5, 57 kg ha−1) were applied before seeding to the companion crop plots. Alfalfa was also seeded alone (clear-seeded) at the three

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21

Mohsen, Arabshahi, and Reza Mobasser Hamid. "Influence of gibberellin and drought stress on biological and grain yield of wheat." Chemistry Research Journal 2, no. 2 (2017): 146–49. https://doi.org/10.5281/zenodo.13956774.

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Plant growth regulators have plentiful applications in agriculture such as delaying or accelerating maturity, stimulation, flowering, abscission, controlling weeds and so on. Gibberellins induce flowering in long-day plants which require chilling. Heading was delayed by addition of gibberellic acid (GA3) to the root zone. Water shortage and the increasing competition for water resources between agriculture and other sectors compel the adoption of irrigation strategies in semi-arid Mediterranean regions, which may allow saving irrigation water and still maintain satisfactory levels of productio

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22

Širlová, L., J. Vacke, and M. Chaloupková. "Reaction of selected winter wheat varieties to autumnal infection with Wheat dwarf virus." Plant Protection Science 41, No. 1 (2010): 1–7. http://dx.doi.org/10.17221/2732-pps.

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The response of 25 registered winter wheat varieties to autumnal infection with Wheat dwarf virus (WDV) was studied in small plot trials in two years. The materials were infected by vectors, leafhopper Psammotettix alienus Dahlbom, 1851 from three-leaf stage to tillering. The symptoms expression was monitored in spring and plant height, weight of above ground biomass and grain yield were observed in summer. All tested varieties were evaluated as susceptible and divided into three groups: varieties Banquet and Svitava with 87.3–93.1% grain yield reduction as moderately susceptible, varieties Cl

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23

Y.D. CHARJAN and C.B. GAIKWAD. "Integrated nutrient management in cotton (Gossypium hirsutum)-wheat (Triticum aestivum) sequence on Ver tisol." Indian Journal of Agronomy 50, no. 3 (2001): 176–80. http://dx.doi.org/10.59797/ija.v50i3.5098.

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A field experiment was conducted under irrigated condition on intergrated nutrient management system for cotton (Gossypium hirsutum L.) - wheat (Triticum aestivum L. emend. Fiori & Paol.) sequence on Vertisol at Rahuri, during 1999-2000 and 2000-2001. Application of 100% recommended dose of fertilizer (RDF) recorded significantly higher seed-cotton yield (20.68 qlha), stalk yield (47.76 qlha ), nutrient uptake and soil available NPK after cotton over 75% RDF. Similarly, wheat grain yield (45.68 qlha), straw yield (58.1 1 qlha), wheat-equiva- lent yield (109.03 qlha), net monetary returns,

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Gan, Y. T., G. P. Lafond, and W. E. May. "Grain yield and water use: Relative performance of winter vs. spring cereals in east-central Saskatchewan." Canadian Journal of Plant Science 80, no. 3 (2000): 533–41. http://dx.doi.org/10.4141/p99-138.

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Changing economic conditions have provided strong incentives for grain producers to choose the most profitable cereal crops to grow. We determined grain yield and water use efficiency (WUE) for winter wheat (Triticum aestivum L.), fall rye (Secale cereale L.), hard red spring (HRS) wheat, Canada prairie spring (CPS) wheat, amber durum (Triticum turgidum L.), and barley (Hordeum vulgare L.) under no-till systems. Over 60% of yield variability existing among site/years was due to water use or evapotranspiration (ET) in semiarid east-central Saskatchewan. Mean grain yield increased by 16.3 kg ha−

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25

DİNÇ, Yakup, and Nesrin ÖRÇEN. "DETERMINATION OF YIELD AND SOME YIELD CHARACTERISTICS OF SOME WHEAT GENOTYPES UNDER LIMITED NITROGEN CONDITIONS." "Annals of the University of Craiova - Agriculture Montanology Cadastre Series " 54, no. 1 (2024): 116–22. https://doi.org/10.52846/aamc.v54i1.1545.

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Wheat is an important food source worldwide and plays a strategic role in terms of food security and economy. In order to meet increasing food needs, it is important to develop regionally adapted, productive and high quality wheat varieties. Nitrogen is the main nutrient that directly affects wheat yield, but its overuse can cause yield loss. Timing and management of nitrogen application are decisive factors in increasing yield. Furthermore, the interaction between water availability and nitrogen plays a major role in wheat growth and yield. Integrated management of nitrogen and water can incr

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26

Roell, Yannik E., Amélie Beucher, Per G. Møller, Mette B. Greve, and Mogens H. Greve. "Comparing a Random Forest Based Prediction of Winter Wheat Yield to Historical Yield Potential." Agronomy 10, no. 3 (2020): 395. http://dx.doi.org/10.3390/agronomy10030395.

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Predicting wheat yield is crucial due to the importance of wheat across the world. When modeling yield, the difference between potential and actual yield consistently changes because of advances in technology. Considering historical yield potential would help determine spatiotemporal trends in agricultural development. Comparing current and historical yields in Denmark is possible because yield potential has been documented throughout history. However, the current national winter wheat yield map solely uses soil properties within the model. The aim of this study was to generate a new Danish wi

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Amgain, LP, NR Devkota, J. Timsina, and B. Bijay-Singh. "Effect of Climate Change and CO₂ Concentration on Growth and Yield of Rice and Wheat in Punjab: Simulations Using CSM-CERES-Rice and CSM-CERES-Wheat Models." Journal of the Institute of Agriculture and Animal Science 27 (May 1, 2006): 103–10. http://dx.doi.org/10.3126/jiaas.v27i0.702.

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Recent trends of a decline or stagnation in the yield of rice and wheat in rice-wheat (RW) systems of the Indo-Gangetic Plains (IGP) have raised serious concerns about the regional food security. The effect of future climate change on crop production adds to this complex problem. The validated CSM-CERES-Rice and CSM-CERES-Wheat (Ver. 4.0) data were used to test the sensitivity of the models in Punjab, India. The models were sensitive to climatic parameters (temperature, CO2 concentration, solar radiation and rainfall) on yields of both crops. Simulated rice yields were sensitive to weather as

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28

Angus, J. F., J. A. Kirkegaard, J. R. Hunt, M. H. Ryan, L. Ohlander, and M. B. Peoples. "Break crops and rotations for wheat." Crop and Pasture Science 66, no. 6 (2015): 523. http://dx.doi.org/10.1071/cp14252.

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Wheat crops usually yield more when grown after another species than when grown after wheat. Quantifying the yield increase and explaining the factors that affect the increase will assist farmers to decide on crop sequences. This review quantifies the yield increase, based on >900 comparisons of wheat growing after a break crop with wheat after wheat. The mean increase in wheat yield varied with species of break crop, ranging from 0.5 t ha–1 after oats to 1.2 t ha–1 after grain legumes. Based on overlapping experiments, the observed ranking of break-crop species in terms of mean yield respo

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29

WALKER, G. K. "WEATHER SENSITIVITY OF WESTERN CANADA WHEAT YIELD, 1900–1988." Canadian Journal of Soil Science 69, no. 4 (1989): 857–65. http://dx.doi.org/10.4141/cjss89-086.

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Recent work suggests that climate change will impact negatively on Canadian prairie wheat through more severe and frequent droughts and increased yield variability, and adaptive strategies have been called for to meet the coming change. However, previous studies have not determined if climate change has already affected wheat yields, nor has the entire prairie region been examined. Using a prairie wheat yield simulation model (PWYSM) at current (constant) technology, it is shown that the weather as it affects wheat, has had a zero trend over the 1900–1988 period. Also, there is no evidence tha

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Kuresova, Gabriela, Jan Haberle, Pavel Svoboda, et al. "Effects of Post-Anthesis Drought and Irrigation on Grain Yield, Canopy Temperature and 13C Discrimination in Common Wheat, Spelt, and Einkorn." Agronomy 12, no. 12 (2022): 2941. http://dx.doi.org/10.3390/agronomy12122941.

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Fluctuations in precipitation and higher evapotranspiration due to rising temperatures are reflected in reduced wheat yields, even in areas with a low historical incidence of drought. In this study, the effects of drought (S) and irrigation (IR) on spelt, einkorn wheat, and two common wheat cultivars were assessed in a field experiment in the years 2018–2021. Water availability was differentiated from the flowering stage using a mobile cover and drip irrigation. Grain yield, canopy temperature, and discrimination of 13C in grain (Δ 13C) were monitored. Drought reduced the average grain yield o

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Yang, Rui, Matthew Tom Harrison, and Xiaoyan Wang. "Current State and Limiting Factors of Wheat Yield at the Farm Level in Hubei Province." Agronomy 13, no. 8 (2023): 2043. http://dx.doi.org/10.3390/agronomy13082043.

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Longitudinal wheat yields in China have declined in recent times due to climate change, more frequent natural disasters, and suboptimal agronomic management. To date, it has been unclear which factors have predominated yield penalties realised hitherto in Hubei Province. This study aimed to identify key factors limiting wheat production across systems and agroecological regions, and provide a basis for increasing crop production while engendering food security. Survey data from 791 households in Hubei Province were analyzed using descriptive statistics and logistic regression. Significant spat

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32

Zhang, X., and P. M. Evans. "Grain yield production in relation to plant growth of wheat and canola following clover pastures in southern Victoria." Australian Journal of Experimental Agriculture 44, no. 10 (2004): 1003. http://dx.doi.org/10.1071/ea03064.

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The plant growth and grain yield of crops following a pasture phase in 1:1 pasture–crop rotations were studied in southern Victoria in 2001 (wheat and canola at Hamilton, and wheat at Streatham and Gnarwarre). Both the wheat and canola crops produced high grain yields with no application of nitrogen fertiliser. In experiment 1 (at Hamilton) where the crops were dependent on nitrogen input from subterranean clover pasture, canola produced 4.1 t/ha of grain and wheat averaged 6.0 t/ha. The 3 canola cultivars (Charlton, Mystic and Surpass 400) had similar grain yields. However, for wheat, the lat

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Wang, Donglin, Mengjing Guo, Xuefang Feng, et al. "Analysis of the Spatial-Temporal Distribution Characteristics of Climate and Its Impact on Winter Wheat Production in Shanxi Province, China, 1964–2018." Plants 13, no. 5 (2024): 706. http://dx.doi.org/10.3390/plants13050706.

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The possible influence of global climate changes on agricultural production is becoming increasingly significant, necessitating greater attention to improving agricultural production in response to temperature rises and precipitation variability. As one of the main winter wheat-producing areas in China, the temporal and spatial distribution characteristics of precipitation, accumulated temperature, and actual yield and climatic yield of winter wheat during the growing period in Shanxi Province were analysed in detail. With the utilisation of daily meteorological data collected from 12 meteorol

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34

Hnilička, F., J. Petr, H. Hniličková, and J. Martinková. "The yield formation in the alternative varieties of wheat." Czech Journal of Genetics and Plant Breeding 41, Special Issue (2012): 295–301. http://dx.doi.org/10.17221/6197-cjgpb.

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35

Waines, J. G., and B. Ehdaie. "Breeding for root characters and grain yield in wheat." Czech Journal of Genetics and Plant Breeding 41, Special Issue (2012): 326–30. http://dx.doi.org/10.17221/6212-cjgpb.

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Akcura, M., Y. Kaya, S. Taner, and R. Ayranci. "Parametric stability analyses for grain yield of durum wheat." Plant, Soil and Environment 52, No. 6 (2011): 254–61. http://dx.doi.org/10.17221/3438-pse.

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Grain yield of 15 durum wheat (Triticum durum Desf.) genotypes consisting of 13 cultivars and 2 advanced lines, tested in a randomized complete block design with four replications across 8 environments of Central Anatolian Region of Turkey was analyzed using nine parametric stability measures. The objectives were to assess genotype-environment interactions (GEI), determine stable genotypes, and compare mean grain yield with the parametric stability parameters. To quantify yield stability, nine stability statistics were calculated (b<sub>i</sub>, S<sup>2</sup><sub>

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Dharam, Singh Meena, Gautam Chirag, and Mohan Meena Hari. "Review on SYI (Sustainable Yield Index) of Wheat (Triticum aestivum L.)." International Journal of Plant & Soil Science 16, no. 5 (2017): 1–8. https://doi.org/10.9734/IJPSS/2017/33759.

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Wheat is the major cereal and staple food crop of most of the northern regions of the country. Productivity of wheat in India is very low compared to other major producer countries of the world such as France (72542 Hg/ha), China (50505 Hg/ha) but sustainable yield index (0.832) is more compared to the China (0.800) and Russia (0.738) which indicate that there is no significant increment in the productivity of wheat and stagnation in the yield of wheat in India over a period of time. However, by identifying sub-optimal conditions an efficient scientific management can improve the wheat yield p

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NAIN, A. S., V. K. DADHWAL, and T. P. SINGH. "Use of CERES-Wheat model for wheat yield forecast in central Indo-Gangetic Plains of India." Journal of Agricultural Science 142, no. 1 (2004): 59–70. http://dx.doi.org/10.1017/s0021859604004022.

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A methodology was developed for large area yield forecast using a crop simulation model and a discrete technology trend, and was applied to the coherent wheat yield variability zones of Eastern Uttar Pradesh, India. The approach consisted of three major steps: (a) prediction of technology trend yield using historical yield series of the region; (b) prediction of weather-induced deviation in wheat yield using CERES-Wheat simulation model and relating weather-induced deviation in simulated yield to deviation in observed yield deviations from technology trend; and (c) final yield forecast by inco

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Kirkland, K. J., and J. H. Hunter. "Competitiveness of Canada prairie spring wheats with wild oat (Avena fatua L.)." Canadian Journal of Plant Science 71, no. 4 (1991): 1089–92. http://dx.doi.org/10.4141/cjps91-151.

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Three spring wheat (Triticum aestivum L.) genotypes (Neepawa, a hard red spring, and HY320 and HY355 both Canada Prairie Spring wheats) were subjected to four levels of wild oat density at two locations over 4 yr to assess the effects of wild oat competition on biomass production, culm formation and yield. Wheat biomass and culm production were reduced at all wild oat density levels in each of the three cultivars. There were no significant differences among cultivars. In general, yields of all cultivars were reduced as wild oat density levels increased. Actual yield reductions at comparable wi

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Neogi, MG, JC Biswas, MM Khan, and MM Rashid. "Wheat–Lentil Mixed Cropping System Productivity Under Varied Irrigation Levels." Annals of Bangladesh Agriculture 25, no. 1 (2022): 1–10. http://dx.doi.org/10.3329/aba.v25i1.58150.

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The study on mixed cropping of lentil and wheat was conducted under three levels of irrigation. Wheat at 10, 15, 20, 25, 30, 35, 40, 45 and 50% of the normal seed rates were mixed with full seed rate of lentil to find out a suitable mixing rate of wheat for maximum total yield from unit land. The study was conducted in a split plot design with three replications. Lentil yields obtained with single and two irrigations were identical and higher than with no irrigation. The highest wheat yield was obtained with two irrigations. Total yield was the highest with application of two irrigations. Mixi

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Macholdt, J., H. P. Piepho, B. Honermeier, S. Perryman, A. Macdonald, and P. Poulton. "The effects of cropping sequence, fertilization and straw management on the yield stability of winter wheat (1986–2017) in the Broadbalk Wheat Experiment, Rothamsted, UK." Journal of Agricultural Science 158, no. 1-2 (2020): 65–79. http://dx.doi.org/10.1017/s0021859620000301.

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AbstractThe development of resilient cropping systems with high yield stability is becoming increasingly important due to future climatic and agronomic challenges. Consequently, it is essential to compare the effects of different agronomic management practices, such as cropping sequences and nutrient supply, on the stability of crop yields. Long-term experiments are a valuable resource for investigating these effects, as they provide enough time to accurately estimate stability parameters. The objective of the current study was to compare the effects of different cropping sequencing (#1: conti

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Lin, Haixia, Na Li, Yi Li, et al. "Quantitative Analysis of Winter Wheat Growth and Yields Responding to Climate Change in Xinjiang, China." Water 13, no. 24 (2021): 3624. http://dx.doi.org/10.3390/w13243624.

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The knowledge of climate change effects on variations of winter wheat yields are crucial for productions. Our objectives were to investigate the relationship between yield-related indices of winter wheat and the related climatic variables (selected using variance inflation factors) at the 20 sites of Xinjiang, China over 1981–2017. The background of climate and yield changes was analyzed from temporal and spatial respects. The number of independent climatic variables was selected with the variance inflation factor method to remove the multicollinear feature. The Pearson correlation was conduct

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SAINI, ANKIT, SANDEEP MANUJA, SURESH KUMAR, R. G. UPADHYAY, and CHINMAYA SAHOO. "Response of tillage methods on yield of wheat (Triticum aestivum) cultivars." Indian Journal of Agricultural Sciences 95, no. 5 (2025): 589–94. https://doi.org/10.56093/ijas.v95i5.136736.

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The present experiment was conducted during winter (rabi) seasons of 2019–20 and 2020–21 at Chaudhary Sarwan Kumar Himachal Pradesh Krishi Vishvavidyalaya, Palampur, Himachal Pradesh, to assess the impact of tillage and farming practices on the crop yield and yield attributes of three wheat (Triticum aestivum L.) cultivars. Two-year results show that conventional tillage produced significantly higher grain yields (4,469 kg/ha), straw yields (6,257 kg/ha), and biological yields (10,726 kg/ha) than natural farming treatment, which produced lower grain yields (1,646 kg/ha), straw yields (2,597 kg

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Ellen, J. "Growth, yield and composition of four winter cereals. I. Biomass, grain yield and yield formation." Netherlands Journal of Agricultural Science 41, no. 2 (1993): 153–65. http://dx.doi.org/10.18174/njas.v41i2.628.

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A field experiment with 3 cultivars of each of 4 winter cereals (wheat, rye, triticale and barley), sown at about 320 plants/msuperscript 2, was conducted on a fertile clay soil in the central Netherlands. The N fertilizer was split-dressed: 120 kg/ha in total for wheat and triticale, and 60 kg/ha for rye and barley. The fewest shoots/msuperscript 2 were found in triticale (828/msuperscript 2), and the most in barley (1477/msuperscript 2). The average decrease in number of shoots during shoot/ear development was 51% in wheat, 54% in rye, 49% in triticale and 67% in barley. The rate of crop dev

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Biberdzic, Milan, Midrag Djordjevic, Sasa Barac, Nebojsa Deletic, and Slavisa Stojkovic. "Productivity of some winter wheat genotypes." Genetika 37, no. 2 (2005): 131–36. http://dx.doi.org/10.2298/gensr0502131b.

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Yields given by different genotypes are affected by many factors, but mostly by genotype, climatic conditions and applied growing practice. Therefore, the aim of this study was to establish productivity of many winter wheat genotypes in southern Serbia, through macro-trials. The results showed the difference of grain yield mean between the investigated seasons, and that difference amounted about 1300 kg/ha. The average yield was the highest in cultivars Toplica, Stamena, Evropa, NS-rana 5, and Renesansa. The lowest grain yield was given by cultivars Tina, Sara, Sreca, and Mina.

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Zhang, Rui, Yingnan Yang, Tinghui Dang, Yuanjun Zhu, and Mingbin Huang. "Responses of Wheat Yield under Different Fertilization Treatments to Climate Change Based on a 35-Year In Situ Experiment." Agriculture 12, no. 9 (2022): 1498. http://dx.doi.org/10.3390/agriculture12091498.

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Fertilization, as one of many important field management practices, can increase crop yields. However, whether different levels of fertilization will affect the response of wheat yields to inter-annual climate variations and long-term climate trends is not clear. In this study, 35-year wheat yields were used to investigate the responses of wheat yield to inter-annual climate variations and long-term climate trends under different fertilization treatments. The first difference method was used to de-trend wheat yields and climate variables and stepwise regression analysis was used to quantify th

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S., Bauatdinov. "THE IMPACT OF GLAUCONITE-CONTAINING SANDS ON WINTER WHEAT YIELD." American Journal of Applied Science and Technology 4, no. 10 (2024): 122–25. http://dx.doi.org/10.37547/ajast/volume04issue10-19.

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Studies show that the application of nitrogen fertilizers and glauconite sand positively affects the yield of winter wheat. Applying 120 kg of nitrogen increases the grain content in the ear by 11.3%, and adding 1 ton/ha of glauconite sand along with nitrogen increases the number of grains by another 3.9%. The grain mass per ear increases by 5.1-5.9% when using 1-2 tons/ha of glauconite sand. As a result of fertilization, the weight of 1000 grains of the "Yanbash" variety increases by 1.7-2.4%. Winter wheat yield increases by 62.3% when nitrogen fertilizers are applied, with an additional yiel

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Md., Omar Kayess, Rafiqul Islam Md., Hasanuzzaman Md., et al. "Evaluation of Some Improved Wheat (Triticum aestivum L.) Genotypes for Growth and Yield Potential." Evaluation of Some Improved Wheat (Triticum aestivum L.) Genotypes for Growth and Yield Potential 16, no. 3 (2017): 1–7. https://doi.org/10.9734/IJPSS/2017/31046.

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An experiment was conducted at the Research Farm of the Department of Genetics and Plant Breeding of Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh during 2015-2016 to study the performance of the selected wheat variety based on some morphological traits. Twenty four wheat varieties were used in the experiment where they were collected from Wheat Research Centre, Bangladesh Agriculture Research Institute, Dinajpur. The experiment was conducted in randomized completely blocked design with three replications. Different yield contributing traits like thousand grain

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Das, A., Sharma RP, N. Chattopadhyaya, and R. Rakshit. "Yield trends and nutrient budgeting under a long-term (28 years) nutrient management in rice-wheat cropping system under subtropical climatic condition." Plant, Soil and Environment 60, No. 8 (2014): 351–57. http://dx.doi.org/10.17221/46/2014-pse.

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We measured the long-term (28 years) sustainability of rice-wheat cropping system under integrated nutrient management practices emphasizing the trends in grain yields, sustainable yield index (SYI) and nutrient budgeting. The data of long-term experiment revealed that grain yield of both rice and wheat declined under control and sub-optimal fertilizer inputs (50% or 75% recommended fertilizer NPK). Negative yield trend (slope) was observed in control plots for rice (&ndash;0.0296) and wheat (&ndash;0.0070); whereas positive yield trend was observed under treatments receiving organic s

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Mohammad, Nur Alam. "Searching high yielding durum wheat genotype (s) through the assessment of the physiology, yield, and yield contributing attributes." International Journal of Agronomy and Agricultural Research (IJAAR) 23, no. 3 (2023): 1–9. https://doi.org/10.5281/zenodo.10976937.

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Until any variety of durum wheat was released in Bangladesh. However, its demand increases in the country for its prepared quality of macaroni and pasta, and multidimensional uses. In fact, Bangladesh meets up the need of durum wheat completely importing from the foreign countries. Fifty genotypes of durum wheat were evaluated to search out a high yielding genotype (s) whereas BDW8 advanced line was used as check. Each genotype/entry (E) was sown in a plot (6 rows having each row 2.5m length) maintaining 20cm spacing between two rows. The experiment was laid out in the randomized complete bloc

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