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 ...
Read More
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 ...
Read More
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.
Shahram SekhavatiFar; ali Rahemi karizaki; Ali Nakhzari Moghaddam; Mehdi Mollashahi
Abstract
Understanding the performance potential and the gap between the actual yields of crops with the achievable function is necessary to diagnose the limiting factors of performance. The present study was conducted based on the method of CPA in 50 fields of Zavkooh villi (Kalaleh, Golestan, Iran) in 2016 ...
Read More
Understanding the performance potential and the gap between the actual yields of crops with the achievable function is necessary to diagnose the limiting factors of performance. The present study was conducted based on the method of CPA in 50 fields of Zavkooh villi (Kalaleh, Golestan, Iran) in 2016 and 2017. In this study all information related to management practices, soil characteristics and farmer socio- economic status were measured and recorded. In the comparative performance analysis (CPA) method, using stepwise regression, the relationship between variables and yield was considered. And yield gap rate, its causes factors and it was also estimated the contribution of each of these factors to the creation of a yield gap. The results showed that between the average real yield (2308 kg ha-1) and the yieldable yield (4123 kg ha-1), there is 1818 kg per hectare of vacuum. Accordingly, the most important factors in yield gap for the region included: field size with 21.4 percent, Summer plowing with 15 percent, The time of land preparation and plowing with 14.7 percent, nitrogen fertilizer with 14.6 percent, potassium fertilizer with 14 percent, weeds density per unit area with 10.8 percent), seed treatment with 8.1 percent and Subsoiler with 1.4 percent.
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 ...
Read More
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.
Ali Mansouri rad; Ali Nakhzari Moghadam; Afshin Soltani; Ali Rahemi Karizaki; Benyamin Torabi
Abstract
One of the main problems of soybean production in the east region of Golestan, Iran is considerable difference between actual yield and attainable yield which is called yield gap. In recent years, this gap has been impressive, and therefore, identifying soybean yield-limiting factors is essentially needed. ...
Read More
One of the main problems of soybean production in the east region of Golestan, Iran is considerable difference between actual yield and attainable yield which is called yield gap. In recent years, this gap has been impressive, and therefore, identifying soybean yield-limiting factors is essentially needed. The present study was conducted based on CPA method in 73 fields of Kalaleh )Golestan, Iran) in 2016. In this study all information related about management practices, soil characteristics and farmer socio-economic status were measured and recorded. Then, using stepwise regression, the relationship between variables and yield was considered. The results showed that there is a 2606.4 kg/ha difference (gap) between actual yield (average farmers' yield) and attainable yield (maximum farmers' yield). It was identified that farming experience, burying plant residues in the soil, planting date, Sprinkler irrigation, the amount of used water and plant density were contributed to yield gap, 30.1, 5.1, 14.7, 13.8, 13.8 and 22.5%, respectively. It could be concluded that improving these factors will increase the yield up to 1802.9 kg/ha.