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Using on-field data to develop the EFI© information system to characterise agronomic productivity and labour efficiency in peach (Prunus persica L. Batsch) orchards in France

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  • Plénet, Daniel
  • Giauque, Pierre
  • Navarro, Eric
  • Millan, Muriel
  • Hilaire, Christian
  • Hostalnou, Eric
  • Lyoussoufi, Abder
  • Samie, Jean-François

Abstract

An Internet database to record information from growers' plots was developed to characterise agronomic performance and labour efficiency of peach-nectarine (Prunus persica L. Batsch) production in France. Six indicators were used: gross yield (Yield), percentage of fruit size above or equal to grade A (GradesA), fresh marketable yield in GradesA (MYieldA), total working time (Hours in h ha-1), total working time per gross yield (HoursYield) and total working time per fresh marketable yield in GradesA (HoursMYieldA). The database contained 24,737 year-plots over the period 2000-2005, representing nearly 30% of the French peach-nectarine production. References based on the median and the 20th and 80th percentiles were developed for ~100 of the most commonly-grown cultivars and presented for yellow-fleshed peach cultivars. The growers who recorded their data in the EFI database were then able to carry out an assessment of each plot in their orchards by comparison with the reference values of the six indicators. The analyse of EFI database on the country scale showed that the maturity period was the main factor which strongly affected agronomic performances and labour efficiency ratios, but not total working times. Nectarine genetic traits reduced only fruit size. Working times for the main manual operations were very significantly affected by region factor partly because orchard height differed according to regions. Tree height strongly influenced the performances. Low trees decreased yield (-4.9 Mg ha-1) and high trees increased total working time about 190 h ha-1 compared to mid-high trees. The use of the EFI information system by the growers is discussed in relation with the participatory process in which technical advisers make it possible to build a tool to support the decision-making process in accordance with users' expectations.

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  • Plénet, Daniel & Giauque, Pierre & Navarro, Eric & Millan, Muriel & Hilaire, Christian & Hostalnou, Eric & Lyoussoufi, Abder & Samie, Jean-François, 2009. "Using on-field data to develop the EFI© information system to characterise agronomic productivity and labour efficiency in peach (Prunus persica L. Batsch) orchards in France," Agricultural Systems, Elsevier, vol. 100(1-3), pages 1-10, April.
    • Handle: RePEc:eee:agisys:v:100:y:2009:i:1-3:p:1-10
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    1. Grechi, Isabelle & Ould-Sidi, Mohamed-Mahmoud & Hilgert, Nadine & Senoussi, Rachid & Sauphanor, Benoît & Lescourret, Françoise, 2012. "Designing integrated management scenarios using simulation-based and multi-objective optimization: Application to the peach tree–Myzus persicae aphid system," Ecological Modelling, Elsevier, vol. 246(C), pages 47-59.
    2. Jara-Rojas, Roberto & Bravo-Ureta, Boris & Solis, Daniel & Martinez, Daniela, 2016. "Production efficiency and commercialization channels among small-scale farmers: Evidence for raspberry production in Central Chile," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229330, Southern Agricultural Economics Association.
    3. Jara-Rojas, Roberto & Bravo-Ureta, Boris E. & Solis, Daniel & Arriagada, Daniela Martinez, 2017. "Technical Efficiency and Marketing Channels Among Small-Scale Farmers: Evidence for Raspberry Production in Chile," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 21(3), November.

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