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Organic Hydromulches in Young Olive Trees in Pots: Effects on Soil and Plant Parameters

Author

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  • Marta M. Moreno

    (Higher Technical School of Agricultural Engineering in Ciudad Real, University of Castilla-La Mancha, Ronda de Calatrava 7, 13071 Ciudad Real, Spain)

  • Sara González-Mora

    (Council of Agriculture, Water and Rural Development, Junta de Comunidades de Castilla-La Mancha, 13270 Ciudad Real, Spain)

  • Jaime Villena

    (Higher Technical School of Agricultural Engineering in Ciudad Real, University of Castilla-La Mancha, Ronda de Calatrava 7, 13071 Ciudad Real, Spain)

  • Carmen Moreno

    (Higher Technical School of Agricultural Engineering in Ciudad Real, University of Castilla-La Mancha, Ronda de Calatrava 7, 13071 Ciudad Real, Spain)

Abstract

Organic hydromulches (liquid spray-on mulches) have been used traditionally in land rehabilitation, mainly to mitigate post-fire runoff and erosion. However, in recent years, a new application of these materials as an eco-friendly alternative to the widely used polyethylene mulch, both in vegetable and woody crops, has been studyied. This work analyzes the effects of six hydromulches, based on organic by-products, on different soil parameters (water content, temperature, and CO 2 flux), plant–water relations (stem water potential, leaf gas exchange, and leaf temperature), and the growth (trunk diameter) of young olive trees planted in large pots in the open field over a 2-year trial. The hydromulches tested were: rice husk (RH), rice husk with linen oil (RHL), mushroom substrate (MS), wheat straw (WS), pistachio (PW), and vineyard (VW) pruning wood chips, mixed with different additives (gypsum, recycled paper paste, and Kraft fiber). A non-mulched manual weeding control (NM) was included. The results indicated that hydromulches, in comparison with NM, resulted in increased volumetric soil water content (on average, 22.9% in hydromulches and 19.5% in NM), reduced soil temperature fluctuations (4.97 °C in hydromulches and 6.13 °C in NM), and increased soil CO 2 fluxes (0.80 and 0.49 g CO 2 m −2 h −1 , respectively). Although the differences in the soil water content did not have an obvious effect on the plant–water status, crop growth was reduced in NM (≈23% lower than PW, MS, RHL, and WS), suggesting that vegetative growth, especially in young olive trees, is extremely sensitive to water deficit. The overall study leads to considering hydromulches as a good alternative to mulching in large pots, especially PW, which would be useful for nursery crops before their final establishment in the field.

Suggested Citation

  • Marta M. Moreno & Sara González-Mora & Jaime Villena & Carmen Moreno, 2023. "Organic Hydromulches in Young Olive Trees in Pots: Effects on Soil and Plant Parameters," Agriculture, MDPI, vol. 13(12), pages 1-20, November.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:12:p:2211-:d:1289845
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    References listed on IDEAS

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    1. Jiménez-Bello, M.A. & Ballester, C. & Castel, J.R. & Intrigliolo, D.S., 2011. "Development and validation of an automatic thermal imaging process for assessing plant water status," Agricultural Water Management, Elsevier, vol. 98(10), pages 1497-1504, August.
    2. Sofo, Adriano & Dichio, Bartolomeo & Montanaro, Giuseppe & Xiloyannis, Cristos, 2009. "Shade effect on photosynthesis and photoinhibition in olive during drought and rewatering," Agricultural Water Management, Elsevier, vol. 96(8), pages 1201-1206, August.
    3. Perez-Lopez, D. & Ribas, F. & Moriana, A. & Olmedilla, N. & de Juan, A., 2007. "The effect of irrigation schedules on the water relations and growth of a young olive (Olea europaea L.) orchard," Agricultural Water Management, Elsevier, vol. 89(3), pages 297-304, May.
    4. García-Tejero, I.F. & Hernández, A. & Padilla-Díaz, C.M. & Diaz-Espejo, A. & Fernández, J.E, 2017. "Assessing plant water status in a hedgerow olive orchard from thermography at plant level," Agricultural Water Management, Elsevier, vol. 188(C), pages 50-60.
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