Person: Barba-Escoto, L.
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Barba-Escoto
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L.
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Barba-Escoto, L.
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0000-0001-8645-6639 11 results
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- Diversidades en movimiento: Multifuncionalidad del cultivo del maíz en diferentes sistemas de producción familiar en el sur y centro de México(Universidad Autonoma de Yucatan, 2023) Boue, C.; Zepeda Villarreal, E.A.; Martínez-García, G.; Lopez-Ridaura, S.; Barba-Escoto, L.; Camacho Villa, T.C.
Publication - Redesigning of farming systems using a multi-criterion assessment tool for sustainable intensification and nutritional security in Northwestern India(MDPI, 2022) Prusty, A.K.; Ravisankar, N.; Panwar, A.S.; Jat, M.L.; Tetarwal, J.P.; Lopez-Ridaura, S.; Adelhart Toorop, R.; Akker, J.v.d.; Kaur, J.; Prakash Chand Ghasal; Groot, J.; Barba-Escoto, L.; Kashyap, P.; Ansari, M.A.; Shamim, M.
Publication - Conservation agriculture benefits indian farmers, but technology targeting needed for greater impacts(Frontiers, 2022) Krishna, V.; Keil, A.; Jain, M.; Weiqi Zhou; Monish Jose; Subash, S.P.; Barba-Escoto, L.; Singh, B.; Jat, M.L.; Erenstein, O.
Publication - Farm typology for planning targeted farming systems interventions for smallholders in Indo-Gangetic Plains of India(Nature Publishing Group, 2021) Kaur, J.; Prusty, A.K.; Ravisankar, N.; Panwar, A.S.; Shamim, M.; Walia, S.S.; Chatterjee, S.; Pasha, M.L.; Babu, S.; Jat, M.L.; Lopez-Ridaura, S.; Groot, J.; Adelhart Toorop, R.; Barba-Escoto, L.; Noopur, K.; Kashyap, P.
Publication - Immediate impact of COVID-19 pandemic on farming systems in Central America and Mexico(Elsevier, 2021) Lopez-Ridaura, S.; Sanders, A.; Barba-Escoto, L.; Wiegel, J.; Mayorga-Cortes, M.; Gonzalez-Esquivel, C.; Lopez-Ramirez, M.A.; Escoto-Masis, R.M.; Morales-Galindo, E.; García-Barcena, T.S.
Publication - Maize intercropping in the milpa system. Diversity, extent and importance for nutritional security in the Western Highlands of Guatemala(Nature Publishing Group, 2021) Lopez-Ridaura, S.; Barba-Escoto, L.; Sum-Rojas, C.; Palacios-Rojas, N.; Gerard, B.
Publication - Non-linear interactions driving food security of smallholder farm households in the western highlands of Guatemala(Frontiers, 2020) Barba-Escoto, L.; Wijk, M. van; Lopez-Ridaura, S.
Publication - Brechas productivas en maíz: una explicación desde la heterogeneidad de las unidades rurales del centro y sur de México = Maize productivity gaps: an explanation based on the heterogeneity of Mexico central and south farm households(Universidad Autónoma de Yucatán, 2020) Zepeda Villarreal, E.A.; Camacho Villa, T.C.; Barba-Escoto, L.; Lopez-Ridaura, S.
Publication - Researchers' manual for quantitative farming systems typologies applications using the R statistical tool(ICAR, 2019) Barba-Escoto, L.; Prusty, A.K.; Lopez-Ridaura, S.; Ravisankar, N.; Jat, M.L.; Tetarwal, J.P.; Panwar, A.S.In India, contribution of small farmers to total farm output exceeds 50%, while they cultivate 44% of land. The holding sizes of marginal farms have decreased from the level of 0.40 ha in 1970-71 to 0.38 ha in 2010-11 and likely to reduce to the level of 0.32 ha with in this decade. By virtue of increased number of operational holdings (mainly due to fragmentation), their size is small but can be made profitable through interventions in farming system approach. In India, crop + livestock is the pre-dominant farming system and around 85 % of farm households practice it. Characterization of existing farming system in the farm household is essential for understanding the constraints and temporal dynamics of the system. On-Farm Research (OFR) component of AICRP on Integrated Farming Systems was working with large number of marginal and small farmers from 2011 in 31 districts covering 20 states to systematically characterize the existing farming systems, identify the constraints, make collective, compatible and convenient farm interventions and study the changes. A practical way of dealing with the complexity of farming systems variability and diversity is constructing typologies for distinction between farming systems. Quantitative typologies based on multivariate analyses allows to identify significant differences among farm types and use this as the basis for targeting interventions as well as design alternative farming systems for different types of farms. As part of the ICAR-IIFSR-CIMMYT collaboration, four quantitative farming systems analyses and training courses have been carried out for the OFR scientists working under AICRP on IFS in four zones (Eastern zone at ICAR-RC, Patna, Bihar; Western Zone at AU, Kota, Rajasthan; Southern zone at TNAU, Coimbatore, Tamil Nadu and Northern zone at ICAR-IIFSR, Modipuram, Uttar Pradesh) during September, 2018 on “Quantitative farming systems typologies applications with the R statistical computing software”. This manual is the output of the workshop series and the document presented here is a key milestone for providing guidelines for constructing typologies in a step-wise approach to structure this process for its appropriation by young scientists. The editors are very much thankful to Dr T Mohapatra, Secretary DARE & DG ICAR; Dr Alagusundaram, DDG (NRM), Dr S Bhaskar, ADG (AAFCC) and Director, ICAR-IIFSR, Modipuram for their support and encouragement. We are also thankful to all the researchers from OFR centres of AICRP on IFS, CIMMYT, CGIAR Research Programs on Climate Change, Agriculture and Food Security (CCAFS) & Wheat Agri-Food Systems (WHEAT) for collaboration in successful completion of the workshop series and support in bringing out the document.
Publication - Bacterial diversity based on a 16S rRNA gene amplicon data set from a high-altitude crater lake and glacial samples of the Iztaccihuatl volcanic complex (Mexico)(American Society for Microbiology, 2019) Calvillo-Medina, R.P.; Reyes‐Grajeda, J.P.; Moreno-Andrade, V.D.; Barba-Escoto, L.; Bautista‐de Lucio, V.M.; Jones, G.H.; Campos‐Guillen, J.Little is known about extremophilic microorganisms from glaciers found in subtropical regions, and to our knowledge, no reports have identified glacial bacteria in this ecosystem in Mexico. Herein, we report a 16S rRNA gene amplicon data set demonstrating bacterial diversity of three samples from the Iztaccihuatl volcanic complex (Mexico) with a total of 115,701 to 138,805 high-quality reads. The bacterial population was classified at the phylum level in all samples.
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