@article{fdi:010073728,
  title = {{U}sing boundary line analysis to assess the on-farm crop yield gap of wheat},
  author = {{H}ajjarpoor, {A}. and {S}oltani, {A}. and {Z}einali, {E}. and {K}ashiri, {H}. and {A}ynehband, {A}. and {V}adez, {V}incent},
  editor = {},
  language = {{ENG}},
  abstract = {{F}ood security is one of the most important challenges facing human kind. {A} very promising approach to solve the problem is closing the yield gap, i.e. the difference between farmer's and potential yield. {A} 'complete yield gap assessment method' must provide information regarding potential yield, actual yield and yield gap, the causes of the gap and their importance. {T}he objective of this study was to indicate how boundary line analysis ({BLA}) could be applied to such an assessment. {BLA} was only applied to crop management practices/inputs, e.g. sowing date and rate and fertilizer applications. {T}he data were gathered from about 700 wheat farms in {G}olestan province, one of the major wheat producing regions in {I}ran, during two growing seasons of 2013-2014 and 2014-2015. {W}heat production in {G}olestan province can be divided into three production situations according to agro- and geo-climatology criteria: these are 'irrigated or high-rainfall', 'high-yield rainfed', and low-yield rainfed'. {B}oundary lines were fitted to the edge of the data cloud of crop yield versus management variables using data from each of the three wheat production situations in the province. {A}ctual farmers' yields were 3900 kg ha(-1) for irrigated, 4000 kg he' for high-yield rainfed and 2000 kg ha(-1) for low-yield-rainfed situations; {BLA} indicated that potential yields (the highest yields obtained by farmers in the sample) were 6900,5800 and 3900 kg ha(-1) for each situation, respectively. {T}he corresponding yield gaps were high at 42%, 31% and 50%. {U}sing {BLA} it was possible to determine the optimal sowing date, seeding rate, frequency and amount of nitrogen fertilizer applied, amount of nitrogen top-dressing, amount of phosphorus and potassium fertilizers and irrigation frequency. {T}he percentage of farmers who cultivated outside of the optimal levels was also identified and was used to determine the importance of each management factor in yield gap. {I}t was concluded that {BLA} as applied in the study, was a cheap and simple method which, without the need for expensive experimentation, was able to detect yield gaps and their causes in a region. {T}he method can be used effectively in countries/regions where important yield gaps exist.},
  keywords = {{C}rop management ; {F}ood security ; {I}ncreasing production ; {O}ptimum managements ; {P}otential yield ; {IRAN} ; {GOLESTAN}},
  booktitle = {},
  journal = {{F}ield {C}rops {R}esearch},
  volume = {225},
  numero = {},
  pages = {64--73},
  ISSN = {0378-4290},
  year = {2018},
  DOI = {10.1016/j.fcr.2018.06.003},
  URL = {https://www.documentation.ird.fr/hor/fdi:010073728},
}