scholarly journals Prediction of potential and attainable yield of wheat : A case study on yield gap

MAUSAM ◽  
2022 ◽  
Vol 53 (1) ◽  
pp. 45-52
Author(s):  
R. K. MALL ◽  
M. K. SRIVASTAVA
Keyword(s):  
Simulation Models ◽  
Yield Potential ◽  
Wheat Crop ◽  
Yield Gap ◽  
Potential Yield ◽  
Potential Productivity ◽  
Field Experimentation ◽  
Attainable Yield

This study reports the role of field experimentation and system simulation in better quantifying the productivity of wheat crop, and examine how knowledge on potential productivity can improve the efficiency of the production system. When knowledge from field experimentation is utilised into crop weather simulation models, gap between actual, attainable and potential yield for a given environment can be determined and opportunities for yield improvement can be assessed. Results show that while actual district average yields show increasing trend, decreasing trend is noticed in potential and attainable yield. While the total and management yield gap is decreasing over time, research yield gap does not show any trend, it is nearly stagnant from early eighties to late nineties. The study reported here presents the advantage of simulation models to determine the yield gap against a variable annual yield potential for a agro-climatic region.

scholarly journals PENENTUAN WAKTU TANAM PADI SAWAH DI KABUPATEN SANGIHE DENGAN MENGGUNAKAN MODEL SIMULASI SHIERARY RICE

EUGENIA ◽  
2015 ◽  
Vol 21 (3) ◽  
Author(s):  
Farida Fattah ◽  
J. E.X. Rogi ◽  
Mariam M. Toding
Keyword(s):  
Cost Savings ◽  
Simulation Models ◽  
Field Capacity ◽  
Paddy Rice ◽  
Yield Potential ◽  
Potential Yield ◽  
Planting Time ◽  
The North ◽  
Humidity Field

ABSTRACT   Decline in rice production in Sangihe Island partly due to climate change and the implementation of a less precise planting time. Rice Shierary  model was used to predict the timing of planting paddy and has advantages in time and cost savings. This study aims to determine the exact time of planting in paddy rice crops in the district of South Manganitu, North Tabukan and Tamako, as well as to determine whether the results of the simulation model Shierary Rice together with the results obtained from the Central Bureau of Statistic Sangihe Islands. Input model consists of solar radiation, rainfall, temperature and humidity, field capacity, permanent wilting point, varieties, irrigation, nitrogen fertilization, longitude and latitude of the study area. While the output was paddy rice yield potential. It can be concluded that (a) the appropriate planting time of paddy in the South Manganitu namely in June with a potential yield of 4.25 tonha-1 and March with a potential yield of 3.88 tonha-1. (b) the appropriate planting time of paddy in the  North Tabukan namely in June with a potential yield of 4.27 tonha-1 and March with a potential yield of 3.62 tonha-1. (c) the appropriate planting time of paddy in Tamako ie in March with a potential yield of 3.58 tonha-1 and February with a potential yield of 3.28 tonha-1. (d) the yield of rice field paddy with the determination of planting time by using the model of Shierary Rice nearing/line with productivity results which obtained by the Central Statistics Agency (BPS) Sangihe Islands. Keywords: planting, paddy, simulation models, Shierary Rice

scholarly journals Plant Yield Efficiency by Homeostasis as Selection Tool at Ultra-Low Density. A Comparative Study with Common Stability Measures in Maize

Agronomy ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 1203
Author(s):  
Evaggelia Sinapidou ◽  
Chrysanthi Pankou ◽  
Fotakis Gekas ◽  
Iosif Sistanis ◽  
Constantinos Tzantarmas ◽  
...  
Keyword(s):  
Plant Density ◽  
Phenotypic Expression ◽  
Yield Potential ◽  
Low Density ◽  
Potential Yield ◽  
Plant Yield ◽  
Yield Efficiency ◽  
Parametric Statistics ◽  
Resource Deficit ◽  
Field Experimentation

The study pertains to field experimentation testing seven maize (Zea mays L.) hybrids at four densities, across five locations under normal (NIR) and low-input (LIR) regimes. The main objective was to assess the prognostic value of plant yield efficiency by homeostasis (PYEH) for breeding purposes at ultra-low plant density to predict hybrid yield potential and stability. PYEH comprises plant yield efficiency (PYE) that reflects the ability of individual plants to exploit resources, and plant yield homeostasis (PYH) that indicates the crop’s ability to evade acquired plant-to-plant variability. The same hybrids were also evaluated for stability by commonly used parametric and non-parametric statistics based on data at low (LCD) and high crop densities (HCD). Hybrid stability focused on potential yield loss due to erratic optimum density (OD). Most methods produced conflicting results regarding hybrid ranking for yield and stability especially at LCD. In contrast, PYEH consistently highlighted high-yielding and stable hybrids, potentially able to reach the attainable crop yield (ACY) inter-seasonally irrespective of crop spacing. Low density is common practice under resource-deficit conditions, so crop adaptation to crop spacing is a viable option to overcome erratic OD that constitutes a root source of crop instability in rainfed maize. The results were further supportive of breeding at ultra-low density to facilitate the identification and selection of superior genotypes, since such conditions promote phenotypic expression and differentiation, and ensure repeatability across diverse environments.

scholarly journals Crop Water Supply and its Relation to Yield of Spring Wheat in the South of Russian Plain

2009 ◽  
Vol 57 (1) ◽  
pp. 26-39 ◽  
Author(s):  
Nadezhda Shumova
Keyword(s):  
Water Supply ◽  
Spring Wheat ◽  
Wheat Yield ◽  
Yield Potential ◽  
Russian Plain ◽  
Wheat Crop ◽  
Crop Water ◽  
The South ◽  
Potential Yield ◽  
Annual Water

Crop Water Supply and its Relation to Yield of Spring Wheat in the South of Russian Plain The proposed method to estimate water supply of spring wheat crop is based on the ratio of the water amount extracted by plants under actual conditions of growth (transpiration) to cover needs for maximum (potential) yield (potential transpiration). Estimates of spatial, inter- and intra-annual water supply variability of the spring wheat crop in basic agricultural zones are given. Dependence of the spring wheat yield on water supply is presented.

scholarly journals APPROACHES TO OIL SPILL RISK ASSESSMENT FOR MARINE VESSEL OPERATIONS

1985 ◽  
Vol 1985 (1) ◽  
pp. 603-606
Author(s):  
Louis J. Painter ◽  
Donald R. Haley
Keyword(s):  
Risk Assessment ◽  
Oil Spill ◽  
Simulation Models ◽  
Probability Estimate ◽  
Assessment Study ◽  
Fold Reduction ◽  
Low Probability ◽  
Computer Simulation Models

ABSTRACT An oil spill risk assessment study should show the estimated relationship between the magnitude of an adverse environmental impact and the probability of an impact's equaling or exceeding that magnitude. Any unacceptably large impact must have an acceptably low probability of occurrence. Unless such probabilities are correctly estimated, no informed decision can be made about the acceptability of a proposed project. In this paper, we review the basic rules of the calculus of probabilities, demonstrate their application to oil spill risk calculations, and discuss the analysis of data for estimating very low probabilities and the role of computer simulation models to estimate environmental effects. Throughout, a case study is used to point out the pitfalls and errors one should try to avoid. In this example, the correction of a number of errors in the probability calculations resulted in a 37-fold reduction in the collision spill probability estimate and a 3,500-fold reduction in the grounding spill risk estimate. Grounding spills had been estimated to have by far the most adverse environmental impacts. The corrections substantially reduced the expected values of the impacts.

scholarly journals Potential yield and yield gap analysis of sugarcane (Saccharum officinarum) using the DSSAT-CANEGRO model in different districts of Uttar Pradesh, India

2021 ◽  
Vol 23 (2) ◽  
pp. 147-153
Author(s):  
R.S. SINGH ◽  
K.K. SINGH ◽  
A.H. BHENGRA ◽  
S.M. SINGH ◽  
GANESH PRASAD ◽  
...  
Keyword(s):  
Gap Analysis ◽  
Total Yield ◽  
Uttar Pradesh ◽  
Saccharum Officinarum ◽  
The State ◽  
Weather Data ◽  
Yield Gap ◽  
Potential Yield ◽  
Daily Weather Data ◽  
Attainable Yield

DSSAT-CANEGRO model have been used to determine crop potential yield over eight districts (viz; Muzaffarnagar, Shahjahanpur, Agra, Lucknow, Basti, Faizabad, Allahabad and Jhansi) representing different agroclimatic conditions & environmentof Uttar Pradesh state in India. The thirty six years (1980-2016) daily weather data of above districts were used to simulate seasonal yield potentials under the various management conditions and compared with the respective district reported yield. The simulated mean potential yield by the CANEGRO model over different district of the state varied between 77.8 t ha-1 in Muzaffarnagar and 97.8 t ha-1 in Agra, while mean reported yield (fresh stalk mass) varied between 40.1 t ha-1 in Jhansi and 62.8 t ha-1 in Muzaffarnagar within the state. Similarly, the attainable yield by the model was simulated lowest of 65.1 t ha-1 in Shahjahanpur and the highest of 73.6 t ha-1 in Faizabad district. The management yield gap was between 9.0 to 30.0 t ha-1 while sowing yield gap was between 7.0 to 26.0 t ha-1 in different districts under study. Further it is not only interesting & surprising but also encouraging to growers that the trends in total yield gap at all the above districts in various agro-climatic zones were found decreasing (narrowed down) at the rate of 138.8 – 801.2 kg ha–1 year–1. Delayed planting by about 30 days in some of the districts resulted into a decrease in sugarcane yield to the tune of 106.7 to 146.7, 103.3 to 143.3 and 80.0 to 133.0 kg ha–1 day–1, respectively. Findings reveal that DSSAT crop simulation model can be an effective tool to aid in decision support system. Yield gap estimates using the past crop data and subsequent adjustment in planting window may help to achieve close to the potential yields.

POTATO PRODUCTIVITY OF DIFFERENT GROUPS OF RIPENESS, DEPENDING ON METHODS OF AGRO-MACHINERY CULTIVATION ON GRAY FOREST SOILS OF THE MIDDLE VOLGA STEPPE

2015 ◽  
Vol 10 (3) ◽  
pp. 102-106 ◽  
Author(s):  
Чекмарев ◽  
Petr Chekmarev ◽  
Гареев ◽  
Ilgiz Gareev ◽  
Владимиров ◽  
...  
Keyword(s):  
Forest Soils ◽  
Power Plants ◽  
Potential Yield ◽  
Potential Productivity ◽  
Gray Forest Soils ◽  
Crop Varieties ◽  
Tuber Crop ◽  
Middle Volga ◽  
High Yielding Varieties

Realization of the potential yield of potatoes at the level of 30-40 t / ha of tubers in a forest of the Middle Volga is only possible when using high-yielding varieties for planting, as well as science-based agricultural technology of their cultivation. We examined the role of area and balance of mineral nutrition in the formation of the potato harvest of two maturity groups: early maturing Vineta and medium-maturing Kurazh on gray forest soils. In the course of our research we found that these varieties are highly productive and to create optimal conditions for the background and the area of power plants in the Middle Volga steppe realizes its potential productivity. The possibility of producing tuber crop varieties was determined: Vineta 30-35 ton per hectare, Courage - 35-40 tons per hectart.

scholarly journals The Analysis of Wheat Yield Variability Based on Experimental Data from 2008–2018 to Understand the Yield Gap

Agriculture ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 32
Author(s):  
Elżbieta Wójcik-Gront ◽  
Marzena Iwańska ◽  
Agnieszka Wnuk ◽  
Tadeusz Oleksiak
Keyword(s):  
Winter Wheat ◽  
Plant Breeding ◽  
Management Practices ◽  
Wheat Yield ◽  
Yield Potential ◽  
Yield Variability ◽  
Mineral Fertilization ◽  
Yield Gap ◽  
Potential Yield ◽  
Winter Wheat Yield

Among European countries, Poland has the largest gap in the grain yield of winter wheat, and thus the greatest potential to reduce this yield gap. This paper aims to recognize the main reasons for winter wheat yield variability and shed the light on possible reasons for this gap. We used long-term datasets (2008–2018) from individual commercial farms obtained by the Laboratory of Economics of Seed and Plant Breeding of Plant Breeding and Acclimatization Institute (IHAR)-National Research Institute (Poland) and the experimental fields with high, close to potential yield, in the Polish Post-Registration Variety Testing System in multi-environmental trials. We took into account environment, management and genetic variables. Environment was considered through soil class representing soil fertility. For the crop management, the rates of mineral fertilization, the use of pesticides and the type of pre-crop were considered. Genotype was represented by the independent variable year of cultivar registration or year of starting its cultivation in Poland. The analysis was performed using the CART (Classification and Regression Trees). The winter wheat yield variability was mostly dependent on the amount of nitrogen fertilization applied, soil quality, and type of pre-crop. Genetic variable was also important, which means that plant breeding has successfully increased genetic yield potential especially during the last several years. In general, changes to management practices are needed to lower the variability of winter wheat yield and possibly to close the yield gap in Poland.

The role of multiplicity in a cult: A case study

1987 ◽  
Author(s):  
William A. Worrall ◽  
Ann W. Stockman
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