Mohammad Reza Mansouri Vajari; Ebrahim Zeinali; Afshin Soltani; Benjamin Torabi; Alireza Nehbandani
Abstract
Objective: The present study was conducted in order to estimate the yield gap of faba bean in the main production areas of this plant in Golestan province, including Gorgan, Ali Abadkatol and Aq Qola cities, and to identify the factors that cause it and to determine the contribution of each of them.Methods: ...
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Objective: The present study was conducted in order to estimate the yield gap of faba bean in the main production areas of this plant in Golestan province, including Gorgan, Ali Abadkatol and Aq Qola cities, and to identify the factors that cause it and to determine the contribution of each of them.Methods: Based on this, the information related to the production management of 445 faba bean farms in Gorgan, Aliabadkatol and Aqqola regions in 1398-1399 and 1399-1400 was collected and the yield gap was estimated using the comparative performance analysis (CPA) method.Results: The average, maximum, and gap yield of faba bean seeds were 2742, 4000, and 1258 kg per hectare, respectively. Additionally, based on the results obtained, the most important reasons for the yield gap and the contribution of each of them in creating the yield gap were: planting date 21%, pests 15 percent, the amount of pure nitrogen (N) 14 percent, the number of disc times 14 percent, the amount of seed used 12 percent, diseases 12 percent, waterlogging 5 percent, weeds 3 percent, non-use of working row 2 percent and improper planting depth 1 percent.Conclusion: In general, by optimizing the management of faba bean production and eliminating the mentioned factors of yield gap, it is possible to increase the yield of faba bean in the regions of Gorgan, Ali Abadkatol and Aq Qala of Golestan province by 46 percent (equal to 1258 kg per hectare) compared to the current amount increased.
samaneh rahban; Benjamin Torabi; afshin soltani; Ebrahim Zeinali
Abstract
The present study tries to estimate the yield gap of irrigated canola in Iran as the first step for planning sustainable improvement of production. It has been performed in the modeling laboratory of Gorgan University of Agricultural Sciences and Natural Resources in 2017-2019. The protocol provided ...
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The present study tries to estimate the yield gap of irrigated canola in Iran as the first step for planning sustainable improvement of production. It has been performed in the modeling laboratory of Gorgan University of Agricultural Sciences and Natural Resources in 2017-2019. The protocol provided by the GYGA project is used for detection of climatic zones as well as major weather stations in canola production regions to estimate the yield gap. The actual yield of the irrigated canola in its major production regions is between 1184 to 2358 kg ha-1. The range of potential yield is estimated between and 3823 and 6520 kg ha-1. The highest potential yields belongs to Hamedan and Lorestan provinces and the lowest value to Khuzestan Plain. The range of the yield gap in its major production regions in the country is 2480 to 4365 kg ha-1, i.e. 53% to 77% of gap and with an average, 3276 kg ha-1 equal to 65% of the gap. With respect to the exploitable yield as the target yield, the exploitable yield is between 1544 and 3208 kg ha-1, with an average of 2261 kg ha-1. The magnitude of this gap indicates that the potentials of canola production in Iran are not exploited properly. Analyzing the reasons and methods of amendment the present yield gap and adoption of efficient management methods to achieve higher yields is crucial with regard to food security and economic.
Vajiheh Amini Mandi; Ali Nakhzari Moghaddam; ali Rahemi karizaki; Masoumeh Naeemi
Abstract
This study is conducted to investigate the influential factors on rice yield gap in the Joibar Region, located in Mazandaran Province, by means of two methods of boundary line analysis and comparative performance analysis, in the cropping years of 2017-18 and 2018-19. It is carried out through fieldwork ...
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This study is conducted to investigate the influential factors on rice yield gap in the Joibar Region, located in Mazandaran Province, by means of two methods of boundary line analysis and comparative performance analysis, in the cropping years of 2017-18 and 2018-19. It is carried out through fieldwork and face-to-face interviews with farmers, for which purpose, totally 120 rice fields located in the studied geographical area in each crop year have been selected in such a way that they had sufficient diversity in terms of location and time. In the comparative performance analysis method, the relation between yield and all measured quantitative and qualitative variables are examined, using multiple regression method. According to the suggested protocol in the boundary line analysis method, a boundary line is fitted to the data in the data distribution diagram. Results show that according to the yield comparative performance analysis model, the yield gap of Joibar rice fields has been 1842 kg/ha, and the harvest date has played the most important role in rice yield gap. Also, according to the findings of border line analysis, the yield gap of rice fields in this region has been 874 kg/ha with the biological control being the most important factor in rice yield gap. Therefore, continuous monitoring and evaluation of crop management on farmers' fields and its identification is essential to eliminate yield gaps along with the management factors causing them.
raheleh arabameri; afshin soltani; Ebrahim Zeinali; benyanen torabi
Abstract
Yield gap analysis is a quantitative estimate of possible increase of the capacity to provide food for a specified area. It is an important component for designing strategies to supply food on a scale of regional, national, and global level. In this regard a study has been conducted to determine the ...
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Yield gap analysis is a quantitative estimate of possible increase of the capacity to provide food for a specified area. It is an important component for designing strategies to supply food on a scale of regional, national, and global level. In this regard a study has been conducted to determine the extent and function of chickpea and lentil crop vacancy distribution at Gorgan University of Agricultural Sciences and Natural Resources during 2016-2018. Using SSM-iCrop2 model, the study simulates potential yield in chickpea and lentil producing regions in Iran. For this purpose, it employs the protocol of Atlas Gap Project, called GYGA protocol, to identify climatic zones and identify important meteorological stations, located in chickpea and lentil production areas in the country. After identifying the important stations, the performance potential for the station range is simulated and then the regional results are generalized to the whole country, based on the GYGA protocol. For dryland chickpeas in the country, the values of actual and potential yield as well as yield gap have been 0.43, 1.04, and 0.61 tons per hectare, respectively. In case of rainfed lentils in the country, the values of actual yield and potential along with yield gap have been 0.43, 1.10, and 0.67 tons per hectare, respectively. The present study can be used for better management in low-yield and high-yield areas of the country for these two products.
Mohammad Sharif Nobatiany; ali Rahemi karizaki; Abbas Biabani; ali mansouri rad
Abstract
This study was conducted to evaluate the factors limiting wheat yield in Kalaleh County using the Comparative Performance Analysis (CPA) method in 2015-16. Collection of the required information was done by fieldwork, and personal interviews with farmers. To this aim, 60 wheat fields in dry land areas ...
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This study was conducted to evaluate the factors limiting wheat yield in Kalaleh County using the Comparative Performance Analysis (CPA) method in 2015-16. Collection of the required information was done by fieldwork, and personal interviews with farmers. To this aim, 60 wheat fields in dry land areas of Kalaleh were selected to have sufficient diversity in all crop management, planting, crop protection and harvesting. The amount of grain delivered to the wheat shopping centers was recorded after determining the amount of drop as the final yield of the farm. The CPA was used to determine the yield gap and identify the factors that caused it. The results of yield model showed that there was a difference of 4071.7 kg between achievable (7248 kg/ha) and actual yield (377.4 kg/ha). Among studied variable, the farmer experience, seeding rate, the amount of phosphorus in soil, frequency of use of fungicide, organic matter of soil, amount of potassium absorbed in soil and amount of applied nitrogen had the most influence on wheat yield gap in the study area, which were 19.4, 16.8, 14.9, 14.3, 12.7, 11.7 and 10.3 percent of the achievable yield. By amending these factors, it seems that it could reduce the difference between achievable yield and actual yield.
Seyfollah Halalkhor; Salman Dastan; Afshin Soltani; Hossein Ajam Norouzi
Abstract
Documentation process in agricultural production includes providing all information and activities that show the production route of one crop from providing stage of seed laying to harvest. For this purpose, in this research all finished managing operation from providing stage of seed preparation to ...
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Documentation process in agricultural production includes providing all information and activities that show the production route of one crop from providing stage of seed laying to harvest. For this purpose, in this research all finished managing operation from providing stage of seed preparation to harvest for local cultivars of rice was recorded trough fields studies in Mazandaran, Babol in 2015e2016. Result showed that from 155 variables under research, the final model with six independent variables was chosen. In yield model, maximum and average yield were 6489 and 4572 kg ha-1, respectively that estimated is comparable to observed average and maximum yield (4572 and 6489 kg ha-1). All estimated yield gap was equivalent to 1977 kg ha-1. The amount of yield increase result from yield difference of two variables of the best and average pest and weed problems were equals 7.3 per cent of total yield increase (140 and 59 kg ha-1), respectively. The amount of increase yield related to fallow variable equal’s 62 kg ha-1 includes three per cent of total yield increase. The quantity of yield increase related to the effect of Amrollahi cultivar and plant density was 375 and 367 kg ha-1, respectively which equals to 19 per cent of total yield variation. Therefore, on the basis of findings, we can state that the precision of the model was appropriate and can be applied for both the evaluation of the amount of yield gap and determining the portion of each restricting yield variables.
Hamid Ahmadi Alipour; afshin soltani; hossein kazemi; Alireza Nehbandani
Abstract
Wheat (Triticum aestivum L.) as one of the most important agronomic crops has a special status in Iran. Reducing the yield gap is one of the ways to raise the production. In order to, the production rate and the wheat yield gap in Golestan province were analyzed by using a simple simulation model SSM– ...
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Wheat (Triticum aestivum L.) as one of the most important agronomic crops has a special status in Iran. Reducing the yield gap is one of the ways to raise the production. In order to, the production rate and the wheat yield gap in Golestan province were analyzed by using a simple simulation model SSM– Wheat and GIS software. For this purpose, the managerial information of wheat farming and cultivation were collected based on the provincial level and with regards to the information of 25 weather station and the region soil information, the potential yield was simulated in the irrigated and rainfed conditions at the provincial level and then the potential yield zoning was performed in the GIS and then with regards to the farmer's production rate and real yield at the provincial level, the yield gap and the production one were also calculated in the irrigated and rainfed conditions. Results indicated that the yield average of irrigated and rainfed potential with regards to the figures and current agricultural methods are respectively 8.140 and 4.930 kg per hectare. Also, the potential production in the irrigated and rainfed conditions was obtained equal to 1.357 and 1.112 million tons (total 2.469 million tons). Results showed that in case of studying and removing the factors which may cause the yield gap in the said province, the wheat production can be increased from the current 926 thousand tons to 1.975 million tons. Based on the results of Golestan province, the most important factors causing wheat yield vacuum with current cultivars and agronomic management, improper irrigation management, improper cultivation of cultivars and inappropriate use of basic fertilizers, road and low fertilizer, and for eliminating yield vacuum, use of 165 to 215 kg of seed per hectare, using certified seeds of suitable cultivars for water and dry farming, consuming at least 50 kg of phosphorus fertilizer (equivalent to P2O5) during cultivation, consuming at least 95 kg of pure nitrogen per hectare and integrating farms are suggested.
Amir Hajjarpoor; Habibolah Kashiri
Abstract
In this study, collecting of management information from about 700 wheat farms in Golestan province was conducted during two growing seasons of 2013-2014 and 2014-2015. In each of region, potential yields, the optimum crop management and simultaneously the percentage of wheat farms out of the optimal ...
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In this study, collecting of management information from about 700 wheat farms in Golestan province was conducted during two growing seasons of 2013-2014 and 2014-2015. In each of region, potential yields, the optimum crop management and simultaneously the percentage of wheat farms out of the optimal ranges were identified in both irrigated and rainfed conditions using boundary line analysis. To do this, the information was analyzed in three parts of irrigated, high- and low-yield rainfed conditions. By plotting farm’s yield data scatter, against management factors, highest yields in different levels of input or management factors were selected and a boundary function was fitted to the upper boundary of data points. According to the results, potential yield for irrigated, high- and low-yield rainfed wheat were estimated equal to 6816, 5791 and 3932 kg ha-1 with a yield gap of 42, 31 and 50 percent, respectively. The optimum ranges of sowing date, seeding rate, plant density, frequency and the amount of nitrogen fertilizer applied, the amount of nitrogen applied after sowing, the amount of phosphorus (P2O5) and potassium fertilizers (K2O) applied and irrigation frequency were determined according to the results. Consider the optimum managements, farmers in each region can shrink the yield gap and reach potential yield result in increasing the amount of wheat production in Golestan province.